
==== Front
Heliyon
Heliyon
Heliyon
2405-8440
Elsevier

S2405-8440(24)11923-8
10.1016/j.heliyon.2024.e35892
e35892
Research Article
The impact of financial decentralization and investments in green power on the ecology in the European union: How does the governance of institutions moderate this relationship?
Zhang Kaihui zkh24jj@163.com
a⁎
Nurbek Adambekov Nuradamsdu@gmail.com
b
Ainagul Adambekova Ainatas0408@gmail.com
c
Zhuldyz Adambekova juldyz.kd@gmail.com
d
a Heilongjiang University School of Innovation and Entrepreneurship Education, China
b Faculty of Digital Transformation, Department of Economics and Business International IT University, Narxoz University, Kazakhstan
c Department of Management, School of Economics and Business, Al-Farabi Kazakh National University, Kazakhstan
d Caspian University, Almaty, Kazakhstan
⁎ Corresponding author. zkh24jj@163.com
06 8 2024
30 8 2024
06 8 2024
10 16 e3589216 3 2024
24 7 2024
6 8 2024
© 2024 Published by Elsevier Ltd.
2024

https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
There has been a growing emphasis in recent scholarship on the environmentalist movement, necessitating robust data to substantiate claims regarding the impacts of financial decentralization and investments in green power on the ecology. This study investigates the multifaceted impact of these factors within a subset of EU member states from 2000 to 2020, with a particular focus on their implications for environmental sustainability. Employing an advanced-panel method, the investigation utilizes enhanced self-regressive distribution delays (CS-ARDL) to analyze the cumulative and immediate connections between financial decentralization, green power investments, and environmental outcomes. The study reveals that effective governance of institutions plays a crucial role in moderating this relationship, influencing the extent to which financial decentralization and green energy investments contribute to environmental preservation. Preliminary findings indicate that regions with decentralized financial systems and substantial investments in green power exhibit reduced carbon dioxide emissions and improved environmental quality. This positive impact is further amplified by sound institutional oversight, ensuring that investments in clean energy align with ecological sustainability goals.The study also underscores the importance of a coordinated approach, where financial decentralization, investments in green power, and institutional governance synergistically contribute to environmental resilience and sustainable development. These efforts not only mitigate environmental challenges but also stimulate economic growth, job creation, and technological innovation in the renewable energy sector. The impact of financial decentralization and investments in green power on environmental sustainability in the European Union is significant, with governance playing a pivotal role in shaping positive outcomes. This study provides valuable insights for policymakers and stakeholders seeking to promote a greener and more sustainable future within the EU.

Keywords

Financial decentralization
Self-regressive distribution delays
Energy efficiency
The management of institutions
Renewable sources
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pmc1 Introduction

This study investigates the intricate relationships between financial decentralization, investments in green power, governance institutions, and their collective impact on ecological outcomes within the European Union (EU). The study aims to analyze the moderating role of governance institutions in shaping the relationship between financial decentralization, investments in green power, and ecological outcomes. It seeks to understand the mechanisms through which governance practices and policies influence environmental sustainability, climate resilience, and green energy transition within the EU context. Additionally, the study aims to provide actionable insights and policy recommendations for enhancing environmental protection, promoting sustainable development, and addressing climate change challenges in the EU. At the 26th Conference of the Parties meeting in 2021, different groups discussed the Agreement of Paris and the United Nations structure for combating global warming [1](Y. [2]). At the 26th Conference, several goals were agreed upon, including lowering the world humidity, assisting developing countries financially to tackle global warming, decreasing reliance on oil and gas, and creating contingencies to cope with environmental dangers. Repairing the environment and maintaining soil stability also includes reducing the release of greenhouse gases by approximately 7 billion metric by the year 2030.

The growing popularity of coal and other energy sources to generate electricity has led to several ecological issues in recent years. It is a major contributor to the planet's warming. Atmospheric alterations have brought about climatic shifts, including flooding, scorching temperatures, severe snowstorms, and flooding. A great deal of danger to humans and their surroundings has resulted from these dangers[3]. In 2015, the Prais Environmental Pact (PCA) was established to reduce atmospheric carbon dioxide emissions and keep the world's temperature above 2 °C. The pact also aimed to meet the rising electrical need for this goal. Since then, financial decentralization (FDR) has been one of several alternatives by academics, politicians, and environmentalists. Regarding improving the efficacy of the public sector at the geographic, provincial, and municipality levels, FDR is particularly useful since it facilitates a successful transfer of authority and responsibility from the federal to the state and municipality levels (Y. [4]). Reduced pollution-related operations are a reasonable means by which minimal administrations may accomplish ecological goals. Because of this, several investigations have sought to ascertain FDR's true contribution to the environmental sustainability of multiple countries. Nonetheless, they did find that the results varied according to the financial foundation of a nation [5]. The present research aimed to investigate the role of FDR in reducing greenhouse gases in EU member states, taking into account the economic significance of these nations and their ongoing pursuit of viable options to meet their climate impartiality goals ( [6]).

Organizations are key factors in determining the environment's health, according to either worldwide or regional systems. An important step in the fight against biological contamination is the implementation of efficient regulatory (IGR) policies that address the dangers to the environment and the difficulties associated with pollution. To gauge the efficacy of institutions and the framework for their management, the Worldwide Governing Indices (WGI) have proposed six metrics. “Authorities achievement,” “command over graft,” “partisan security and a lack of assault,” and “regulating excellence” are the components that make up this category [2]). The carbon emissions architecture can be regulated, and bribery can be controlled via successful environmental laws with the support of an effective organizational structure. One of the best ways to help the planet deal with pollutants is to use clean electricity sources [7]. The reason is that these forms of fuel don't pollute the environment and rely little to no on fossil fuels. This is why emerging and developed countries invest much money into renewable energy projects [8]. Nonetheless, a number of academics have argued that, for a variety of causes, the connection between REI and carbon emissions is complicated. As a case study, REI focuses on money movement, whereas REC is more closely associated with using green power [9]. A closer look at the time-division features would reveal the intricate nature of the link between REI. Nevertheless, for most regions, the literature still needs to delve into the ever-changing link between REI and the sustainability of the environment. This research aims to fill a gap in the current scholarship by investigating how the European Union (EU) countries might achieve the sustainability of the environment through financial decentralization, governance of institutions, expenditure on green power, and foreign investment. This argument forms the basis of the present study, which addresses the long-term perspective and adds to the field in numerous ways. Firstly, the study looks at the patterns of greenhouse gas emissions over the last 30 years with an emphasis on the financial systems of the European Union. In this respect, several justifiable arguments exist for choosing the countries that are part of the EU. With respect to their GDP and proportion of trade worldwide, these nations are at the cutting edge [10,11].

This study makes a significant contribution to the understanding of environmental sustainability, particularly in the context of the European Union (EU), covering the period from 2000 to 2020. The study employs a robust analytical framework, including the use of the CS-ARDL (Common Factor-Augmented Autoregressive Distributed Lag) method, to investigate the complex interactions between financial decentralization, investments in green power, and ecological outcomes, with a focus on the moderating role of governance institutions. One of the key contributions of this study lies in its methodological rigor. By utilizing the CS-ARDL method, the study captures both the long-term and short-term impacts of financial decentralization and green power investments on ecological outcomes within the EU. This methodological choice is crucial as it allows for the consideration of cross-sectional dependence, slope heterogeneity, and dynamic interactions among the variables of interest. The study's analytical depth is further enhanced by its comprehensive examination of data sources, their reliability, potential biases in data collection processes, and critical reflection on the limitations of the statistical methods used.The results of the study provide valuable insights into the nexus between financial decentralization, green power investments, governance, and ecological outcomes. Specifically, the analysis reveals the mechanisms through which governance institutions moderate the relationship between these factors, highlighting the importance of specific governance practices or policies in driving environmental sustainability. The study identifies key drivers and barriers to achieving ecological goals within the EU, shedding light on areas where policy interventions and reforms are needed to enhance environmental protection, climate resilience, and sustainable development.Moreover, the study's contribution extends to its implications for policy and practice. The findings offer concrete recommendations for policymakers within the EU context, suggesting strategies for optimizing green investment strategies, strengthening governance frameworks, and promoting sustainable environmental management. The study also identifies avenues for future research, considering the study's limitations, and calls for continued efforts to advance knowledge and understanding in the field of environmental economics and governance.

2 Literature review

2.1 Decentralization of income and environmental well-being

Shifting finances to municipalities, as is the case with income decentralization, can lead to economic growth over the long term. When municipalities need to do a better job of collecting fees, higher decentralization of income could lead to greater taxation overall without improving amenities at the neighborhood level (Wang, Ge, & Li, 2023). Delegation of collecting income and expenditure to fewer administrations is the goal of paired financial decentralization (Wang, Hu, & Li, 2023). A sun-national authority so goes the financial decentralization (FDR) idea, can better address the needs of the citizenry than a centrally administered one. Economic development, variations in spending approaches, execution of services, and management are some effects linked to financial decentralization.

Using the setting of Chinese regions examine how FDR affects pollutant indices. Provincial offices of ecological preservation provided the information used in the research. The experimental research's results show that the provided factors are correlated in an inverse U-like pattern [12]. use information from 1991 to 2020 to analyze how FDR affected the preservation of the environment in a few OECD nations. The research uses state-of-the-art information emulators to find the factors' dependence over time. It also uses MMQR, which stands for " techniques of moments, the quantile, and the regression,” to depict the union. The empirical results of the investigation suggest that FDR is crucial in reducing environmental impacts and improving durability; however, the findings might differ among countries with small, medium-sized, or considerable incomes. Since ‘The natural world Health' is important, some nations have claimed that FRP could boost it by giving municipalities more financial autonomy. The impact of FDR on the level of carbon emissions in nine Asian nations is assessed by [13]. Data from 1984 to 2017 is analyzed using the Autoregressive distributional method. As a beneficial shift toward financial decentralization, which lowers carbon dioxide emissions rates in Asian nations, the research's data show that FDR has unequal effects on sustainable development. An unfavorable income dispersion fluctuation could lead to a jump in greenhouse gases. The varying effects of FDR on ecological sustainability have been documented in numerous investigations [12]. The main ideas that attempt to clarify the discrepancy between the results of liberty and environmental pollution are the incentive principle, the opposition principle, and the no-causality hypothesis. Decentralized governance successfully promotes development and competitiveness by allowing communities to rigorously regulate and move harmful enterprises out of town [13]. Many analysts have set the stage for further study on how to use FDR techniques to improve the quality of public services, transparency, and economy. Latest inquiries are focusing on examining the effect of FDR on income. For towns and cities to gain informational benefits, enhance offerings, and stabilize the financial system, it is necessary to study and draft suitable regulations. According to [13], 10.13039/501100021493 FDR made the environment more sustainable by allocating more funds to government operations and products.

2.2 Decentralization of spending and conservation of the environment

If we want to see infrastructure thrive and the economy expand, we need to decentralize spending. The practical expenditure split is an excellent tool for assessing the sector's parts of devolution. The level of decentralization in spending differs greatly across countries [12]. At the same time, the degradation of the planet's ecosystems has become a major concern for all living forms. To create an environmentally friendly planet, many countries are working to reduce their use of fossil fuels and other energy sources that are not renewable. In their analysis of the effect of FDR on greenhouse gas emissions [14],account for the dampening effect of Chinese government policy. This research examines the relationship between the variables offered using data from panels collected between 2006 and 2019. The research claims that FD affects Chinese greenhouse gas emissions using “The passage of period economic” methods. In light of the deteriorating environment, the report recommends that China establish rules to lower greenhouse gases by promoting environmentally friendly energy infrastructure. Furthermore, it is critical to define the responsibilities of the different levels of government to achieve the objectives of moderate greenhouse gas emissions[15]. By allocating more funds to environmentally friendly growth, 10.13039/501100021493 FDR fostered ecological sustainability, as pointed out by [16]). This research uses survey information collected between 1990 and the present from several countries with very dispersed government spending, such as Spain, Austria, Belgium, Canada, and Australia. To find a relationship between the provided factors, it uses the statistical techniques of economists. Regular and quadratic FDR enhances the sustainability of the environment by mitigating greenhouse gas emissions, according to the study's results[17]. examined data panels from different regions in China to identify the factors of environmentally friendly growth. Using information collected between 2010 and 2020, this research delves into the ever-changing effects of FDR on the environment. Spending on the preservation of the environment by governments is the primary topic of discussion. A mediation impact method is used to find the association involving specific factors. To achieve ecological viability, the research found that FDR advocated for initiatives and laws at the local level. Also, compared to the occidental parts of China, its eastern places feel the effects of FDR more acutely. Durable biology is negatively affected by inaccurate and wasteful outsourcing of expenses, which reduces the success of the executive branch in serving citizens. To determine how spending dispersion affects the preservation of the environment [18], conducted a research investigation. Using Barro's Modeling, which shows a hump-like connection between the localization of spending and the ecological environment, the research examined spending at the national and sub-national levels of administration. The research investigation used the 'National Sustainability Score' to examine how spending devolution affected the environment, which allowed researchers to delve further into the outcomes. The research team examined information collected from fifty-two countries from 1998 to 2019 to understand further the hump-shaped link between the factors provided. The fast-increasing carbon dioxide emissions concern scientists are trying to determine how variables influence these gases. The primary cause of pollution has been the subject of numerous study initiatives for several nations, such as those with less, medium, and elevated incomes. The provided research centers on the changing relationship between spending devolution and the preservation of the environment.

2.3 Investing in natural energy sources and environmental preservation

Renewable energy sources account for more than three-quarters of the globe's newly generated electricity and incur no fuel costs whatsoever[19]. Reducing fuel expenses can help with electric bills, particularly with measures to make our homes and workplaces more energy efficient[20]. Investing in fresh electricity production from today to 2048 would be dominated by solar and wind power, based on a forecast from last year's "Bloomberg Innovative Energies Financing" (BNEF)[21]. Instead of slowing down, governments and enterprises should take COVID-19 as an indication to speed up. Recent results show that 68 % of US citizens favor funding environmentally friendly energy sectors as a solution to the economic recession. Compared to various forms of natural gas utilization, Seventy-five US citizens would rather see clean power supplied to businesses. In their study covering 1990–2020 [22],looked at how REI affected greenhouse gas emissions in countries in the OECD. The research considered educational attainment, economic growth, FDI, and mineral abundance variables. The subsequent methods have been adjusted to arrive at a statistical estimation. Sources of clean energy can potentially improve the planet's condition, as shown by the results. Further evidence that solar power helps economies grow comes from longitudinal studies of individual nations. The Industrial Revolution, advancement of organizations, and financial growth are considered utilizing the Augmentation Means Groups (AMG) technique. Using data from 1991 to 2019[23], analyzed the environmental effects of the two types of energy usage in Mea states. The attendees said that growth in urban areas, job creation, and economic growth all play a role in deteriorating the environment. Also, studies reveal that alternative energy doesn't make much of a difference in terms of long-term viability, whereas the use of fossil fuels for energy speeds up the destruction of the environment. This damage might be mitigated if the countries in this area adopted and promoted alternative energy sources[24]. Because of the ever-changing nature of the financial and technical landscape, the impact of both green and traditional energy sources on the environment remains to be determined. Investment in capital and job creation are two factors that should be considered when analyzing the detrimental effects of producing electricity from renewable sources(S. P. [25]).used the panel data to combine second-generation statistical techniques with a diverse approach. The research used the "Dumitrescu and Hurlin" method and provided substantial proof to support the resulting hypotheses linking alternative power supplies to the economy's expansion. To reduce carbon dioxide emissions, empirical studies have suggested new policies that promote clean energy and job creation. For their study [26],looked at how energy from renewable sources, environmentally friendly investments, and long-term viability interact. The research project analyzed panel information for Chinese provinces from 1996 to 2020 using the state-of-the-art approach of QARDL. According to the experimental results, each of the data sets was found to exhibit architectural cracks and information irregularities. The research project used the Granger-causality in percentiles for additional evaluation of the link of causality among the variables supplied. The statistical validity and the expected negative value of the mistake-correcting factor over significant percentiles were both confirmed by the QARDL estimation findings. Although the benefits of clean power and green investment in reducing GHG vary for smaller and greater ranges, outcomes demonstrate that the two strategies are significant pollutant mitigants over time. According to research, investments in clean energy and environmental responsibility are strongly correlated. Producing and using solar power also depends on other environmentally friendly investments, privatization of spending by the government, and the expansion of energy independence. Green power's beneficial environmental effects can be studied more thoroughly by examining how much the nation invests in developing renewable energy resources. World Resource Institute research indicates that developing clean energy sources can aid in environmentally friendly growth, which in turn assists governments in rebounding quickly from disasters[27]. In addition to weaning countries from burning fossil fuels, transitioning to clean power sources boosts national economies.

2.4 Global capital and environmental preservation

For all nations to create and implement new technology, foreign direct investment (FDI) is crucial. Cash mobility and support for technological advancement are outcomes of higher FDI that contribute to a healthy environment[28]. The generation of renewable energy that is environmentally friendly is one way in which increasing foreign direct investment (FDI) helps the economy of a nation and expansion, which in turn benefits the planet[29]looked at relevant variables to determine how foreign direct investment (FDI) affected the quality of the environment in "Central and Eastern European" (CEE) countries from 1996 to 2015. One way to identify a possible regressive association between foreign direct investment (FDI) and environmental degradation is to examine the fluid correlations involving FDI, economic growth, energy consumption, and carbon dioxide production using first- and second-generation panel statistical approaches. According to the results, foreign direct investment (FDI) has an inverse U-like slope and a nonlinear impact on the sustainability of the environment of Central and Eastern European (CEE) countries. Economic growth in Central and Eastern European nations improves their ecological sustainability even though increasing energy use harms the environment. A surge in carbon dioxide emissions, extensive forest clearing, and declining biodiversity have intensified ecological degradation during the previous many years, which has worried schoolwork, authorities, and researchers. The consequences for sustainability and power policy implementation to foster economic growth and foreign direct investment (FDI) in the Central and Eastern European (CEE) region are raised by the study's findings. Foreign direct investment (FDI) and environmental harm were the subjects of a research study by Ref. [30]. The research uses a representative group of BRICS nations because of their important roles in the worldwide ecological catastrophe. Three models—FMOLS, DOLS, and panel cointegration—were used in the research. The data debunk both the chemical haven hypothesis and the ecological Kuznets curve. In addition to encouraging the use of environmentally friendly innovations, it argued that FDI raises consciousness about the environment.

Furthermore, efficient delegation of ecological norms and suitable warming laws will lessen the destruction of the environment in BRICS nations. Using evidence collected between 1990 and 2019, assessed how foreign direct investment (FDI) contributed to the deterioration of the environment in major regional states. To find the degree of cooperation between each factor, the researchers used the "Dumitrescu-Hurlin Panel" Connection. Some argue that foreign direct investment has a detrimental impact on greenhouse gases. It implies that growth in information and communication technologies and foreign direct investment drastically reduces pollution over a long period. According to the Dumitrescu-Hurlin results, there is an indirect connection between foreign direct investment (FDI) and the preservation of the environment. This means that an increase in FDI fuels an expansion of IT facilities. Policies should prioritize encouraging foreign direct investment and information and communication technology equipment to back long-term job creation in the Asia-Pacific region. The results of the scientific review offer a fresh perspective on the link between foreign direct investment and a sustainable environment. More studies can be conducted to determine how quickly FDI can deplete natural resources. The impacts of manufacturing, shipping, bringing in, and intake of natural resources on the ecology can be assessed. One of the primary worries about FDI is the potential detrimental effects on the environment caused by rising carbon dioxide emissions. However, foreign direct investment (FDI) might lessen the release of CO2 and boost environmental quality through innovative green ideas[31]. There needs to be more actual proof in the existing literature concerning the connection between foreign direct investment (FDI), environmental sustainability in industry, and the production of carbon dioxide pollutants.

2.5 2.4. prosperity and environmental preservation

The accessibility of public services and the quality of government both improve as economies grow. When businesses grow and governments can assess taxes on the resulting wealth, they can better provide citizens with the healthcare, education, jobs, and other critical public amenities they need (S. [32]). The limited resources of the earth limit global prosperity. These limitations are affected by how much materials are replaced, how much technology advances, and how much the structure is changed [33]. Both revenue growth and conservation efforts will be stunted in the absence of sufficient sustainable environmental policies. A determinant of environmental sustainability is economic expansion, which is an influencing factor in GDP. Within this framework ( [6]),examined the ten most economically complicated countries to determine the correlations between green power production, gross domestic product (GDP) growth, and environmental degradation. The research draws out conclusions using information estimations like system-GMM long-run estimation tools, FMOLS, and DOLS for the years 1990–2019. greater complicated economies, greater growth, trading, higher exporting values, and greater urbanization are predicted to leave larger carbon footprints in the long run. Manufacturing of renewable energy and the use of knowledge have the potential to lessen environmental impact. Initiatives in expanded output, consumption, and use of labor for renewable energy sources renewable energy sources would improve environmental conditions, increase export effectiveness, and raise financial complexity in developing and developed nations. Using a STIRPAT paradigm [34],investigated how GDP, monetary growth, and technological advances all influence environmental sustainability as the governing factor in urbanization. Materials collected and evaluated for the research project came from the Western Asian and Middle Eastern regions between 2001 and 2019. The lengthy indices produced by the continually updated, entirely changed technique show that environmental damage is reduced by 0.010 % for every one percent rise in technological advancement. Innovative technology helps reduce environmental harm and improves revenue generation in WAME nations, which is an important point to highlight. Sustainability Kuznets's general curve, which incorporates technological advancements, GDP, and gentrification, is also demonstrated for each country in this investigation. Assessing the effect of a nation's financial circumstances and finances on its GDP growth is challenging in the supplied research. Environments can suffer from slower inflation and gross domestic product (GDP). As a result of the management of international financial structures, nations should be able to enjoy the benefits of natural assets while consistently preserving and expanding the value of their assets. While eliminating impoverishment, increasing wealth, and safeguarding ecosystems are all admirable goals in the grand scheme of things, they do not necessarily align with one another in the here and now. In light of the previous review of research on the FDR nexus with CEN, IQN, GD, FDI, and REI, the researchers feel compelled to undertake an in-depth investigation to satisfy the void and offer reliable estimates for forecasting the short- and long-term impacts of the independent and Moderators on the ecological viability of the member states of the EU.

3 Research methodology

The possible economic problems with information from panel studies must be investigated to prevent erroneous results. As a result, before conducting the unit-roots examination, previous research highly recommended looking at the cross-sectional association in data from panels. While the participants in our study were all EU citizens, the monitoring units that were ultimately chosen were impacted by several circumstances. Examples include shifts in the cost of oil and other worldwide financial meltdowns. Choosing the best method for additional examination provides another benefit. Before checking for the unit root or stationary behavior features, the researchers checked for longitudinal dependence (CD) using and the research time. In particular, multiple tests using 3 generations have been proposed in the current literature for assessing linearity or a unit root[35]. The initial generations lost the prediction strength because they failed to take in structural fractures. Consequently, the most suitable test is the third generational one suggested by Ref. [36] since it adequately handles architectural fails, gradient variation, and longitudinal dependency accordingly. To check for unit roots in information collections, this research used two methods developed.

The surrounding environment, financial conditions, commerce, and both inside and outside market scenarios are just a few of the many sources of information variation that the diversity of the test examines. Following the verification of information equilibrium, as mentioned the variation of slopes can be examined using Swamy's test. The findings of the traditional test have been deemed inaccurate because of CD; hence, additional procedures have been implemented. Therefore, the research was concluded by evaluating the permanent and short-term connection among factors using the CD-ARDL estimates. Because it considers both gradient variability and the section dependence concerns simultaneously, this estimate is superior. Regarding the combined integrated peace, this estimation method is also suitable and applicable. The overall association of the factors chosen in equation (1).(1) CEN,i,t=f(FDRi,t,REIi,t,FDIi,t,IQNi,t,GDPi,t)

In (1), the dot represents portions, and the period is denoted by t. The structure of the analysis is shown in Equation (2).(2) CENit=β1it+β2itFDRit+β3itREIit+β4itFDIit+β4itIQNit+β4itGDPit+αi+δit

To address how to use the ARDL form for the research factors, we have Equation (3).(3) Wi,t=∑i=0pwφi,tWi,t−1+∑i=0pzγi,tZi,t−1+εi,t

The fourth equation (4) displays longitudinal norms in particular.(4) Wit=∑i=0pwφi,tWi,t−1+∑i=0pzγi,tZi,t−1+∑i=0pxαiX‾t−1+εi,t

The CS-ARDL method has been employed to calculate the coefficients for the long run from the short run. Here are both the long-run coefficients and the median subgroup estimation in equation (5):(5) πˆCD−ARDL,i=∑I=0pzγˆIi1=ΣI=0φˆI,t

Here is the average category in equation (6):(6) π‾ˆMG=1N∑i=1Nπˆi

The following are the predicted short-term values in equation (7):(7) ΔWit=ϑi[Wi,t−1−πiZi,t−1]−∑i=0pw−1φi,tΔiWi,t−1+∑i=0pzγi,tΔiZi,t−1+∑i=0pxαiX‾t+εi,t

in which equations (8), (9), (10), (11)Δi=t−(t−1)

(8) τˆi=−(1−∑i=0pwφˆi,t)

(9) πˆi=∑i=0pzγˆi,tτˆi

(10) π‾ˆMG=1N∑i=1Nπˆi

(11) LEIit=αit+β1LRGDPCit+β2LRGDPCit2+β3LCEPCit+β4LPOit+β5LRDit+β6LEXFDit+β7LTRit+β8L(FINit*EXFDit)+εit

[37] suggest that financial integration may influence municipal governments to subsidize renewable energy initiatives to assist with the energy transition. Regarding this matter, having money will lessen the negative effects of EXFD on the earth. However, according to [38]), greater access to banking services could lead to increased production, which would hurt the preservation of the environment. Assuming the competing claims, having money might moderate the impact of the EXFD-EI correlation in a good or bad way in equation (12).(12) ∂LEIit∂L(FINit*EXFDit)<0or>0

Finally, this research examines how dependence on Earth's resources and monetary inclusion promote sustainable development. Here, we include a term related to interaction (FINit*TRit) to see if investing raises or lowers the detrimental effect of dependence on materials on biological magnitude, as shown in Equation. (13).(13) LEIit=αit+β1LRGDPCit+β2LRGDPCit2+β3LCEPCit+β4LPOit+β5LRDit+β6LEXFDit+β7LTRit+β8L(FINit*TRit)+εit

Authorities may be willing to put money into environmentally friendly ways of extracting natural resources if finance goods become inexpensive. In addition, municipalities can put their share of mineral profits into renewable energy projects if funding opens the door. In contrast, authorities' renting conduct is prompted by monetary inclusion, leading to a boost in human emissions and an acceleration in the taking away of fossil fuels in equation (14). So, depending on one's opinion, investment might mitigate the impact of over-reliance on the environment on ecosystem intensities in some good or bad way(14) ∂LEIit∂L(FINit*TRit)<0or>0

By presenting the environmental impact as an alternate environmental gauge, this work assesses alternate specs for models for resilience in equation (15).(15) CIPS=N−1∑i=1nCADF

In addition, panelist quantitative regression and the conventional minimum squares with the Driscoll-Kraay standard errors (OLS-DK) method are employed to assess the correlations among each factor in the present investigation. The quantitative regression technique received more focus, while the OLS-DK estimate ensures that the base conclusions are durable. This is mostly because traditional estimates merely give mean impacts, which could be grossly inaccurate. Furthermore, this regulation captures irregular requirements and estimates the result at every measure. Even more crucially, it accounts for the variations in environmental effectiveness within nations in the OECD and reflects the problem of longitudinal reliance. Eqs. (16), (17), (18), (19), (20). (21) and (22) is a model for the panel MMQR with established effects according to Ref. [39] technique.(16) QYit(τ|Xit)=α(τ)′Xit+βi,i=1,⋯,N,t=1,⋯,T

(17) QLELIN|LELFP(τ|Xit)=a1τLRGDPCit+a2τLRGDPCit2+a3τLCEPCit+a4τLPOit+a5τLRDit+a6τLEXFDit+a7τLTRit+a8τLFICRit+βi

(18) QLELIN|LELFP(τ|Xit)=a1τLRGDPCit+a2τLRGDPCit2+a3τLCEPCit+a4τLPOit+a5τLRDit+a6τLEXFDit+a7τLTRit+a8τLMod1it+βi

(19) QLELIN|LELFP(τ|Xit)=a1τLRGDPCit+a2τLRGDPCit2+a3τLCEPCit+a4τLPOit+a5τLRDit+a6τLEXFDit+a7τLTRit+a8τLMod2it+βi

(20) QLELIN|LELFP(τ|Xit)=a1τLRGDPCit+a2τLRGDPCit2+a3τLCEPCit+a4τLPOit+a5τLRDit+a6τLEXFDit+a7τLTRit+a8τLFIDEit+βi

(21) QLELIN|LELFP(τ|Xit)=a1τLRGDPCit+a2τLRGDPCit2+a3τLCEPCit+a4τLPOit+a5τLRDit+a6τLEXFDit+a7τLTRit+a8τLMod3it+βi

(22) QLELIN|LELFP(τ|Xit)=a1τLRGDPCit+a2τLRGDPCit2+a3τLCEPCit+a4τLPOit+a5τLRDit+a6τLEXFDit+a7τLTRit+a8τLMod4it+βi

4 Variables and results

First, this part uses yearly information from the EU nations from 2001 to 2021 to describe the chosen factors, as shown in Table 1. The variable that depends here is carbon dioxide emissions, while the explanatory factors are decentralization of finance, investments in energy efficiency, and FDI. In addition to GDP's function as a control controller, social governance's ability to regulate has been incorporated as a moderating factor. In addition, a self-composition statistic established on income localization (RDR) and expenditures devolution (EXR) has been established to measure FDR. The following equation (23) is provided to measure RDR mainly about lower-tier or province revenue from governments to the total government budget:(23) RDR=PRPR+FR

Table 1 A breakdown of the factors.

Table 1Factors	Common Abbreviations	Review	Place	sources	
Decentralization governance	FDI	metric tonne/person	DV	IRENA	
Institutional Financial	FDR	Indix for self-computation	IV	WDI	
Renewable energy investment	CEN	Amount invested in US dollars	IV	WDI	
Carbon emission	IQN	Investment from foreign direct investment	IV	WGI	
Foreign investment	REI	Standards set by regulators	Moderator	OECD	
Governing evaluation criteria differ. −3.6 (weaker) to +3.6 (stronger)	
Economic growth	GDP	Income per person at a steady 2011 United$ level	Manage	WDI	
Please take note that the following acronyms are used: OECD, IRENA, WDI, and WGI, which stand for the internationally recognized indicators of governance, and the Office for Economic Cooperation and Development, for short. A dependent variable (DV) and an autonomous variable (IV) are related terms.

PR represents province income, and FR represents federal income in the formula.

EXR is a comparable metric representing the proportional share of province budgets to total national spending. A clearer picture is given by equation (24).(24) EXR=PEPE+FE

Province spending and the national budget are represented by PE and FE, respectively.

RDR and EXR constitute one-dimensional metrics. Conversely, FDR requires a comparable metric to represent the true picture of nature since it is an idea with several dimensions. As a result, the current investigation used an overall FDR ratio that ranged from 0 to 1 and was calculated using the following equation (25).(25) FDR=RDR1−EXR

The longitudinal relationship has been studied using either option or null assumptions. H1 advocates the reality of interdependence across sections and opposes the second, which implies that the sections are not interdependent. Throughout the research, CD was present in the chosen nations (see Table 2). This leads us to approve H1 for the CD examination.Table-2 Results from the VIF examination, VCF examination, and association vector.

Table-2Factors	Stats from CD-Testing	Degrees of association	
REI	FDI	CEN	FDR	GDP	IQN	
IQN	23.365***	2						
CEN	33.077***	−1.120**	2					
GDP	19.539***	−2.031***	1.315**	2				
FDI	27.669***	1.243**	1.143	1.419***	2			
FDR	25.207***	−1.125***	1.289**	1.215**	1.419**	2		
REI	34.160***	1.419***	−1.223**	1.497**	1.395**	−1.149*	2	
Testing of multiple convergence		REI	FDI	CEN	FDR	GDP	IQN	
1/VIF		3.175	2.223	5.025	3.015	4.451	3.773	
VIF		1.461	1.821	1.249	1.497	1.292	1.363	
The following acronyms stand for different concepts: greenhouse gas emissions, financial decentralization, energy-related investments, foreign direct investment, and GDP. The importance levels at one percent, five percent, and ten percent are explained by ***,**, and **.

The values for the correlations amongst CEN, FDR, FDI, REI, IQN, and GDP are also shown in Table 2. At the one percent and five percent ranges of meaning, it is shown that CEN is positively correlated with FDI and negatively correlated with FDR, REI, and IQN. On the other hand, REI, FDI, and IQN all show a beneficial relationship with the FDR, while GDP shows an unequal correlation. Contrarily, FDI, IQN, and GDP exhibit beneficial and mathematically substantial associations with REI. While IQN has a strongly adverse relationship with GDP, there is a beneficial connection between FDI and IQN and GDP. Also shown in Table 2 is the test known as multicollinearity, which is triggered when there is a high degree of correlation between two or more separate variables; as a result, their coeffects do not accurately reflect the actual connection between the factors, undermining its statistical significance. The results of the multicollinearity test, expressed as the "deviation prices measure," indicate a decrease in the linkage between numbers within the allowed limits of 1–5. Support for this comes from coefficients under half.

Information base root or linearity qualities are investigated while assessing cross-sectional relationships. The results of using the testing and screen unit root testing are presented in Table 3. Relative to the prior two generations of tests, these are gaining much interest because of how frequently they appear in current research, which indicates their importance. At level (0), the experimental estimates cover the findings for both CIPS and M-CIPS, as shown in Table 3. With longitudinal dependency present in the information, the results in the third table show that H1 Support the existence of linearity, and the assumption of null suggests that there is no static. Information stability has proven relevant for this intent in Table 4. These results led to the subsequent application of the test, which involved taking the initial-order differential for the research factors. Based on the results, we may embrace H1 and refute the null, suggesting that the info does not exhibit consistency or a single shape.Table 3 Evaluation of unit roots with and sans architectural breakdown.

Table 3Factors	Stage one (zero)	1st variations one(one)	
C.I.P.S	M-C.I.P.S			C.I.P.S	M-C.I.P.S	
IQN	−4.107***	−5.561***			–	–	
FDI	−4.119***	−7.885***			–	–	
GDP	−4.999***	−5.183***			–	–	
CEN	−4.287***	−6.179***					
FDR	−6.941***	−5.359**					
REI	−4.207***	−7.179***					
	Pm	Z	P	Pm	P	Z	
IQN	1.217	1.283	20.333	−5.627***	7.669***	69.227***	
CEN	1.353	1.119	22.913	−5.269***	6.253***	52.623***	
GDP	1.119	1.187	21.631	−6.115***	6.365***	54.227***	
FDI	1.169	1.539	20.557	−5.639***	4.093***	69.209***	
FDR	1.161	1.341	31.641	−6.075***	5.229***	52.833***	
REI	1.219	1.383	23.229	−7.525***	4.671***	49.665***	
Note: The following acronyms stand for different concepts: emissions of carbon, financial decentralization, clean energy investing, foreign direct investment, and GDP. The five percent significance level is explained by **, while the threshold of one percent is explained by ***.

Table 4 Study of slopes variability.

Table 4Stats	Testing figures (P-value)	
Delta tilde Adjusted	54.583*** (0.003)	
Delta tilde	67.526*** (0.004)	

Additionally, it is noted that the display evaluation of cointegration has a wider literary importance. We have made theoretical and empirical improvements to investigate the focal factors' cointegrated relation over time. Assuming co-integration is absent, arrive at H0. On the other hand, the null hypothesis (H1) states that the factors mentioned above are panel cointegrated, as shown by the absence of a discontinuity, the average change, the system's change, etc. With a one percent threshold of significance across each group, as shown in Table 5, we agree with H1 and conclude that group cooperation occurs among the research factors.Table 5 The findings of the group evaluation of cointegration are indicated.

Table 5CEN	No. breaks	Regime shifts	Means shifts	
Zτ(N)	−6.665***	−5.171***	−6.639***	
Zφ(N)	−5.105***	−4.155***	−7.379***	
Note: The variable of interest here is the amount of carbon dioxide released (CEN) and that the *** indicates a significance threshold of one percent.

As mentioned, the present study looks at how equilibrium, steep variation, and cross-sectional variation have been trending. Table 6 displays the results of the present stage's investigation of the connection over time. A value of −0.125 indicates that a one percent increase in FDR leads to a twelve percent decrease in greenhouse gas emissions in the EU area, suggesting that FDR has an adverse influence on CEN. The substantial influence of FDR on CEN in the previous couple of decades is confirmed by the t-score of −3.053, which is greater than the acceptable value of 1.96, as determined by the average variance. By decreasing the production of carbon dioxide, it demonstrates that financial decentralization contributes to better sustainability. At the same time, REI is adverse, crediting that a flood of capital into renewable energy projects will reverse climate change and improve the planet by cutting down on CEN in Table 6. In addition, alternative energy offers a long-term answer while reducing reliance on conventional power plants; thus, there is proof of a fruitful relationship connecting REI and CEN.Table 6 CS-ARDL's long-term results.

Table 6C.E.N	Values of the parameters	Values of the parameters	
With In balance	Without In balance	
REI	−1.127***	−1.115***	
T-value	(-4.055)	(-5.639)	
FDI	−1.121**	−1.159**	
T-value	(-3.021)	(-3.195)	
FDR	1.363***	1.415***	
T-value	(6.107)	(4.677)	
GDP	−1.209***	−1.193**	
T-value	(-4.671)	(-3.227)	
IQN	1.439***	1.371***	
T-value	(6.041)	(4.161)	
REI*IQN	–	−1.233***	
T-value		(-4.629)	
FDR*IQN	–	−1.131***	
T-value		(-5.987)	
CSD statistics	–	1.139**	
T-value		(3.163)	
FDI*IQN	1.271	1.1205	
Note: Coal emissions, financial decentralization, green power investments, foreign direct investment, and national income are the acronyms of CEN, FDR, REI, and GDP. For a threshold of significance of one percent, see ***; for a relevance value of five percent, see **.

Similarly, higher greenhouse gas emissions due to a rise in FDI (foreign direct investment) factor of 0.362 indicates that certain EU countries receive more cash and property from the global marketplace. The given statistic verifies that FDI causes a 36.2 % shift in greenhouse gas emissions, with a five percent margin of significance (T-value = 2.09). This is because an increase in foreign direct investment (FDI) promotes various industry sectors, increasing energy consumption for making a wide variety of items and amenities and increasing greenhouse gas emissions. The long-term results, nevertheless, reveal that high-quality institutions contribute to a 20.8 % decrease in the CEN across the course of the research. The reasonable emphasis on managing different entities via a system of rules and laws that protect them from the harm caused by the economies of Europe is justified by the positive role of IQN in promoting the sustainability of the environment, such as low CEN. Suppose increased prosperity in the EU region causes environmental damage at a rate of 0.438 (important at one percent). In that case, GDP as the controlling factor has an enormous and substantial effect on CEN. A healthier growth model emphasizing clean, renewable energy sources is urgently required in light of the positive relationship between GDP and CEN. Such actions are beneficial to lessen the degradation of our planet. The present study also looks at how the quality of institutions moderates the connection between the explaining and outcome factors. A correlation coefficient of −0.230, which has importance at one percent, has been produced by the interaction component of FDR*IQN, according to the results in Table 6. CEN, IQN, and FDR are incredibly useful when managing environmental issues. To be more precise, IQN directly affects CEN of −0.208, suggesting that it contributes to environmental sustainability in the EU economy by reducing the release of greenhouse gases. Further, IQN's mediating impact indicates that CEN has been reduced through its relationship with FDR. This is because a better governance structure and more regional autonomy through financial decentralization would decrease emissions production.

The correlation between expenditures on sustainable electricity and carbon emissions is influenced by IQN to the tune of −0.129, as indicated by a t-score of −4.985. As such, it is clear that IQN contributes to the regulation of investment in renewable energy tasks, which in turn leads to a reduced CEN. In particular, these results explain why CEN has been falling during the last several years: the institutional environment's increasingly immediate and mitigating influence. Good governance in the form of IQN and a rise in investment in green energy projects are hallmarks of the European Union (EU) states. These initiatives boost sustainability, play a positive role in combating global warming, and reduce reliance on fossil fuels, known to release carbon emissions into the atmosphere.

In its last term, the long-term estimate reveals that FDI and IQN have a favorably substantial interaction influence on CEN (value: = 0.136). Even though FDI has an immediate impact of 0.362 on CEN, suggesting that foreign investment is associated with higher contamination, the impact remains favorable if IQN is incorporated, albeit with a lesser correlation value. This research lends credence to the idea that the European Union's member states need to rethink their approaches to international capital to reach equitable growth targets like lowered carbon emissions. According to the report, all potential incoming foreign investment should also align with environmental goals.

Using the institution level as a moderator, Table 7 presents the immediate results of the research factors. According to the research, financial decentralization has an immediate adverse impact on carbon emissions and investments in renewable energy sources (coefficients of 0.091 and 0.119, respectively). Nevertheless, the provided outcomes show that in the immediate calculation, only the influence of FDR is extremely important, whereas the impact of REI is small. So, contrary to what was found at the moment, solar power does have an impact in the future when it comes to combating pollutants like CEN. Nevertheless, FDI causes more pollution in the short term due to its 0.139 factor and 4.985 t-statistic.Table 7 Results in the near future.

Table 7C.E.N	Values of the parameters	Values of the parameters	
With In balance	Without In balance	
IQN	−1.093***	−1.0139*	
T-value	(-3.995)	(-2.945)	
FDI	−1.121	−1.027	
T-value	(-2.021)	(-2.107)	
REI	1.141***	1.121**	
T-value	(5.987)	(3.312)	
GDP	−1.105***	−1.087**	
T-value	(-4.965)	(-3.039)	
FDR	1.341**	1.265***	
T-value	(3.041)	(4.641)	
REI*IQN	–	−1.123*	
T-value		(-2.935)	
FDR*IQN	–	−1.107	
T-value		(-2.363)	
FDI*IQN	–	1.053**	
T-value		(3.035)	
CSD statistics: T-value	1.363	1.185	
Note: Coal release, financial decentralization, green energy investments, foreign direct investment, and national income are the acronyms of CEN, FDR, REI, and GDP. For a significance threshold of one percent, see ***; for a relevance value of five percent, see **.

We also found that high-quality institutions can reduce environmental greenhouse gases in the near term, which supports the idea that organizational management matters. Similarly, in the near run, GDP growth is causing a 0.338 % increase in emissions, which is bad for the planet. It demonstrates that their rapid expansion causes economies' lasting and short-term inherent fragility. While IQN has a mixed outcome in the future, it has a short-term regulating impact on the relationship between the two factors. Specifically, while FDI*IQN causes five percent more CEN, the relationship terms of FDR*IQN generate long-term advantages with a twelve percent reduction in carbon footprints. The eighth table concludes with a look at how reliable AMG and CCEMG estimates are presented in Table 8. The results demonstrate that the proportions of the correlations are distinct but that the factors' directions are identical, indicating that FDR, REI, and IQN contribute to a decrease in CEN, while FDI and GDP both boost it. It has also been proved that IQN significantly moderates the link involving FDI CEN -, FDR - CNEN, and CEN –REI in Table 9.Table 8 Testing for resilience using AMG and CCEMG.

Table 8With in balance	
Factors	A.M.G	C.C.E.M.G	
Co-efficient	Numerical counting of-T	Co-efficient	Numerical counting of-T	
REI	−1.165***	−4.629	−1.107***	−5.887	
IQN	−1.025**	−3.019	−1.123***	−4.965	
FDI	1.119**	3.227	1.154***	5.225	
FDR	−1.183***	−4.109	−1.195***	−4.683	
Wald Test	1.425***	5.939	1.365**	5.123	
GDP	–	16.325	–	23.527	
Without in balance	
Factors	A.M. G	C.C.E.M.G	
Co-efficient	Numerical counting of-T	Co-efficient	Numerical counting of-T	
REI	−1.115***	−4.925	−1.119***	−4.929	
IQN	−0129***	−4.483	−1.053**	−3.183	
FDI	1.134***	4.579	1.239***	4.579	
FDR	−1.107**	−3.105	−1.119**	−3.293	
Wald Test	1.339***	5.161	1.321***	5.111	
FDI*IQN	−1.115**	−3.253	−1.095***	−4.639	
REI*IQN	−1.139***	−4.277	−1.039**	−3.139	
FDR*IQN	1.137**	3.317	1.129*	2.973	
GDP	–	21.352	–	27.109	
Note: Coal pollutants financial decentralization, green energy investment, foreign direct investment, and national income are the acronyms CEN, FDR, REI, and GDP. The levels of relevance at 1 %, 5 %, and 10 % are explained by ***, **, and *, respectively.

Table 9 Materials, factors, and labeling.

Table 9Factors	Labeling	References	
gross domestic product individual (GHP/capita, 2016 United dollars)|	RD	(World Bank, 2021)	
Use of electricity on a per-person basis (kilowatt	EXFD	(OWD, 2021)	
Percentage of employment (percent overall) for the fifteen to twenty-four age group	PO	(World Bank, 2021)	
Spending on R&D as a percentage of the gross domestic product	RGDPC| RGDPC2	(World Bank, 2021), (OECD, 2021b, OECD, 2021)	
Distributed spending by governments (as a percentage of total spending and self-spending, at the subnational level)	CEPC	(IMF, 2021)	
Total revenues from land and water as a share of gross domestic product	FIDE	(World Bank, 2021)	
As a percentage of the country's gross financial integration 1 measures the national credit-private industry ratios.	ELFP	(World Bank, 2021), (GFDD, 2019), (TREC, 2021a)	
2-Financial Participation (The Gross Domestic Product as a percentage of deposits into banks)	TR	(GFDD, 2019), (TREC, 2021b)	
Usage of environmental impact units (gha each individual) for	FICR	(GFN, 2022)	
Environmentally friendly profile (ELFP/RGDPC)	ELIN	(GFN, 2022)	

The median assessment of the national credit-private industry ratios is 93.77 %, while the median amount of money in banks is 86.53 % regarding the economic inclusion proxies’ factors. On a typical basis, oil and gas dependence is 0.37 percent, while the total worth of the distributed system of government is 33.58 %. Economic magnitude has an ordinary statistic of 0.0002, whereas the environmental impact has a mean frequency of 5.42, according to Table 10. Table 11 displays a structure of correlations.Table 10 A statistical overview.

Table 10Stats./Fact.	ELFP	RGDPC	FIDE	TR	RD	FICR	PO	EXFD	ELIN	CEPC	
Means	1.0005	29969.61	44237.17	46.83	2.87	35.59	1.39	94.79	87.55	6.45	
St. Dev.	1.0003	12565.76	15635.25	13.49	1.91	8.67	1.55	47.15	52.07	2.19	
Maximum	1.0009	48445.73	74009.33	74.99	4.43	50.79	3.85	223.31	254.22	8.86	
Minimum	1.0003	4971.83	15625.22	25.32	1.37	13.12	1.03	7.75	12.31	3.95	
Skew.	2.6643	−1.5617	1.07423	1.4299	1.0097	−1.3387	3.3037	1.5501	2.4095	1.0426	
Kurtosis	6.0557	2.9539	3.1379	3.3739	2.8281	4.2225	9.5361	3.9565	5.5245	3.3249	
A median rating of 29,967.59 (equivalent to 2016 dollars in the United States) for actual gross domestic product per person was found in the overall stats. There was an average rating of 44235.15 kW for each person's energy use. The mean amount of research and development spending as a percentage of Output is 1.86 %, while the workforce membership rate is 45.80 %, according to Table 10.

Table 11 Mapping the correlations.

Table 11Factors	EXFD	FICR	ELIN	TR	CEPC	RD	PO	RGDPC	FIDE	ELFP	
RD	2										
ELIN	−1.8614a (1.0003)	2									
CEPC	−1.6885a (1.0004)	1.8327a (1.0005)	2								
PO	−1.4067a (1.0002)	1.6011a (1.0005)	1.3761a (1.0003)	2							
FICR	−1.7743a (1.0003)	1.7761a (1.0003)	1.5503a (1.0002)	1.3075a (1.0004)	2						
EXFD	−1.5479a (1.0003)	1.4981a (1.0002)	1.4349a (1.004)	1.1047 (1.1337)	1.4079a (1.0003)	2					
RGDPC	1.8039a (1.0002)	−1.5477a (1.0003)	−1.5139a (1.003)	1.0129 (1.8542)	−1.5981a (1.0005)	−1.5283a (1.0001)	2				
ELFP	−1.6145a (1.0002)	1.4491a (1.003)	1.2925a (1.0003)	1.3723a (1.0002)	1.5604a (1.0003)	1.6164a (1.0005)	−1.4909a (1.0002)	2			
FIDE	−1.5803a (1.003)	1.4545a (1.0003)	1.3401a (1.0003)	1.1119 (1.1083)	1.7199a (1.0003)	1.4907a (1.0003)	−1.5083a (1.0003)	1.8151a (1.0003)	1		
TR	−1.3523a (1.0003)	1.6421a (1.0003)	1.7593a (1.0003)	1.3021a (1.0002)	1.2791a (1.0002)	1.3293a (1.0003)	−1.2431a (1.0005)	1.0839 (1.2299)	0.0788 (0.2576)	1	
Note: The test results are contained in the brackets; a signifies a level of significance of one percent, b an amount equal to five percent, and c a ten percent relevance degree.

The relationship matrices indicate an adverse association between biological complexity and each of the factors, except for dependency on resources from nature. Considering information on environmental footprints, it was found that there is an upward correlation with energy consumption, actual gross domestic product for each person, employment percentage, research and development spending, distributed governance structures, and financial literacy (Table 11). On the other hand, there is an adverse relationship with petroleum dependence. The scatter diagram of the research's major variables, showing correlations like the results of a matrix of associations (refer to Table 12). In addition, an analytical approach that produces quick and accurate estimations is required due to the aberrant distribution of factors shown in Table 12.Table 12 The outcome is linearity.

Table 12Info.	At Degree	1st diff.	Info.	At Degree	1st diff.	
As a result of moving	Utilizing tendency and drifts	As a result of moving	Utilizing tendency and drifts	As a result of moving	Utilizing tendency and drifts	As a result of moving	Utilizing tendency and drifts	
LFIDE	−4.01a	−4.01b	−6.25a	−6.17a	LEXFD	−4.53a	−3.47	−4.57a	−5.03a	
LELFP	−2.57	−3.19	−4.29a	−4.39a	LRD	−2.65	−2.95	−4.97a	−5.09a	
L.Mod1	−2.31	−3.75	−6.11a	−6.27a	LCEPC	−3.53b	−3.79c	−5.51a	−5.83a	
LMod2	−2.05	−2.25	−4.43a	−4.75a	LTR	−2.68a	−2.65	−4.97a	−6.33a	
LMod3	−2.53	−2.85	−5.43a	−5.63a	LRGDPC	−2.31	−3.41	−5.47a	−5.83a	
LMod4	−4.43a	−4.91a	−6.35a	−6.57a	LELIN	−3.47c	−4.15a	−6.26a	−6.47a	
LFICR	−3.69a	−3.97b	−6.19a	−6.45a	LPO	−2.93	−4.33a	−6.45a	−6.49a	
Note: The test results are contained in the brackets; a signifies a level of significance of one percent, b a five percent threshold, and c a ten percent relevance threshold. First Mode = FICR*EXFD, second Mode = FICR*TR, third Mode = FIDE*EXFD, and fourth Mode = FIDE*TR.

5 Discussion

Research findings shed light on the lasting and immediate developments in sustainable development as they pertain to financial decentralization, investments in clean energy sources, and foreign direct investment. For example, it has been noted that FDR has a substantial negative effect on carbon emissions, suggesting that these kinds of regulations would be highly helpful in lowering pollutant levels. To be more precise, FDR clarifies how it aids in measuring municipalities' efficacy from various angles. Furthermore, effective ecological advantages, such as minimal greenhouse gas emissions, would be seen using extra resources. This is related to the fact that the current body of research backs the positive trajectory of FDR's application towards sustainable development. Concerning the link between financial decentralization and greenhouse gases, state their opinion(J. M. [40,41]). They prove that industrialized economies are the only ones where financial decentralization reduces emissions. A unified FDR indicator that considers both earnings and expenses was created. They examined how OCED countries' FDR levels relate to ecological deterioration metrics such as greenhouse gases. According to the results, the data does not follow a normal distribution, making the need for an asymmetry quantifying approach fairly apparent. The findings show that modular FDR cuts carbon emissions in the middle to upper percentiles (i.e., from the 5th to the 0.90th).

Increased expenditure in alternative energy initiatives is associated with a decrease in greenhouse gas emissions in the countries that have been studied. This is because of the connection between clean energy sources and ecological sustainability. This is because green energy mainly employs sources of renewable electricity that don't harm the environment, which helps reduce pollutants such as carbon dioxide emissions examined the connection between CEN and investments in clean energy sources in China, and their results align with ours. The parametric models' results show that REI's effect on CEN varies over the various investing phases. In particular, greenhouse gas emissions rise in the first phase associated with such a venture but fall in the second and third phases, contributing to a decrease in CEN. As a last point, the expenditure level in subsequent stages verifies that it raises carbon dioxide release. Take REI and CEN into account in their analysis of the cap-and-system. According to its conclusions, the benchmarking method resulted in higher investments in green power. Additionally, recent studies have looked at the specific link between CEN for the chosen state of the EU and their governance framework related to the quality of institutions. The results demonstrate that the effective consequences of environmentally friendly legislation, along with such a structure of governance, aid in controlling harmful substances such as CEN. The results are consistent [42], who used a representative population of South Koreans, Indonesians, and Thais from 1990 to 2016 to investigate the relationship between IQN and CEN. In the long run, the research's key results imply that high-quality institutions would aid in reducing greenhouse gases and boosting the economy. The relationship between IQN and CEN is unidirectional. Constant investment in clean energy sources is argued to provide several important advantages, such as lower emissions and increased economic growth. Researching the impact of the quality of institutions on CO₂ emissions using QARDL estimates, zero in on the Pakistani economy. Their observations still demonstrate a positive correlation between IQN and CEN, which goes against the grain of existing studies and thus lends credence to the EKC concept. In addition, our research has shown a favorable and highly significant correlation between CEN and foreign investment. This connection proves that when more foreign investment flows into the local markets of certain EU nations, it boosts the manufacturing of products and services and helps various manufacturing plants. These kinds of businesses require electricity from petroleum, gas, and other comparable resources. The connection between FDI and CEN has also been shown by previous research looks at emerging nations to verify the connection between foreign direct investment and greenhouse gas emissions. The research results show that foreign investment leads to higher greenhouse gas emissions, supporting the green heaven argument and disproving the so-called halo effect idea. Our results are contradicted [43], who argue that foreign investment lowers greenhouse gas emissions.

6 Conclusion and implications

This study encompasses a thorough analysis of the period from 2000 to 2020 using the CS-ARDL (Common Factor-Augmented Autoregressive Distributed Lag) method. The study's findings shed light on the intricate dynamics between financial decentralization, investments in green power, governance institutions, and their collective impact on ecological outcomes within the EU.

The analysis conducted through the CS-ARDL method reveals significant long-term and short-term relationships among the variables of interest. It highlights the crucial role of governance institutions in moderating the relationship between financial decentralization, investments in green power, and ecological outcomes. Specifically, the study identifies governance practices and policies that have a substantial influence on environmental sustainability, emphasizing the need for effective governance frameworks to drive positive ecological outcomes.

Permanent and short-term pollution consequences can be mitigated by limiting GDP, financial decentralization, and putting money into energy efficiency, according to CS-ARDL studies. Contrarily, the results demonstrate that, due to the promotion of different sectors in the nation's economy, foreign investment is increasing carbon dioxide emissions in each nation of the European Union. Nonetheless, the chosen nations' quality of institutions indicates a stronger framework for ecological sustainability, characterized by low greenhouse gas emissions. Our findings also provide credence to the idea that IQN acts as a moderator in the relationships among the other factors mentioned; for example, there is still an adverse and significant factor for the interacting terms involving FDR and spending on green power. This suggests that the European Union's membership can achieve sustainable perfection by coordinating its oversight system with investments in solar power and financial decentralization. The results over the long term demonstrate a favorable and significant interaction between FDI and IQN. Lastly, while the variables vary, short-term results, similar to CEN, supporting the positive influence of financial decentralization and spending on clean energy in reducing pollution from nature.

From a policy perspective, the study offers several key recommendations. Firstly, policymakers within the EU context are encouraged to prioritize investments in green power and sustainable infrastructure to enhance environmental protection and mitigate the adverse effects of climate change. Additionally, the study advocates for the implementation of transparent and accountable governance practices that promote regulatory compliance, environmental stewardship, and green energy transition. These policy recommendations align with the EU's commitments to sustainability, climate action, and green growth, emphasizing the importance of integrated approaches to environmental management and governance.

6.1 Limitations and future research directions

However, it is essential to acknowledge the limitations of the study. Despite the rigorous methodological approach, including the use of the CS-ARDL method, there are inherent challenges in modeling complex ecological systems and capturing all potential variables and interactions. The study also faces data limitations, including data availability, quality, and coverage, which may impact the robustness of the findings. These limitations underscore the need for caution in interpreting the results and the importance of ongoing research efforts to address data gaps and improve analytical frameworks.

In terms of future research directions, the study suggests several avenues for further exploration. This includes conducting more extensive longitudinal studies to assess the long-term impacts of financial decentralization and green power investments on ecological outcomes. Moreover, there is a need for comparative analyses across different regions or countries within the EU to understand regional variations in environmental policies, governance effectiveness, and ecological resilience. Additionally, incorporating interdisciplinary approaches that integrate economic, social, and environmental perspectives can provide a more holistic understanding of sustainability challenges and opportunities.

This study contributes valuable insights into the relationship between financial decentralization, investments in green power, governance institutions, and ecological outcomes in the EU context. Its policy recommendations, while mindful of limitations, provide actionable pathways for policymakers, and its future research directions pave the way for continued advancements in environmental economics, governance studies, and sustainability science.

CRediT authorship contribution statement

Kaihui Zhang: Formal analysis, Data curation, Conceptualization. Adambekov Nurbek: Formal analysis, Data curation, Conceptualization. Adambekova Ainagul: Data curation, Conceptualization. Adambekova Zhuldyz: Writing – review & editing, Writing – original draft, Visualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgement

This research is support by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. АР19678012).
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