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To encourage technological and industrial innovation, nations worldwide implement "re-industrialization" and "manufacturing return." This study investigates the relationship between GDP growth, expenditure on research and development, and medium- to high-tech as a percentage of manufactured exports on technological innovation in Pakistan. We evaluated long-run and short-run causal relationships using the ARDL, bound-F test, and ECM regression. The study found a positive relationship between GDP growth and technological innovation in the short and long run. In the short run, with a one-year lag, the analysis reveals a positive and statistically significant relationship between technological innovation, medium-high-tech exports, and GDP growth. In the long run, R&D is positive and significant, while economic growth and technological innovation are positive but not statistically significant. There is a 0.38 percent chance that exogenous shocks will eventually lead to equilibrium in the long run. Based on the findings of this study, it is recommended to allocate resources to research and development, promoting collaborative initiatives, ensuring intellectual property rights, and developing a skilled workforce. [ABSTRACT FROM AUTHOR]

Empirical studies have generally found that higher fertility has a negative or insignificant effect on economic growth. This article argues that this is because existing studies have failed to capture the long‐term lagged effects of fertility. By estimating a long‐term lagged panel model using data from 137 countries, I find that higher fertility first reduces and then increases economic growth, and the long‐term average effect is significantly positive. This finding is robust when focusing on countries at different development levels, exploiting exogenous fertility shocks from global family planning campaigns, and capitalizing on within‐country fertility variation resulting from China's one‐child policy. [ABSTRACT FROM AUTHOR]

Public health events (PHEs) have emerged as significant threats to human life, health, and economic growth. PHEs, such as COVID-19, have prompted a reevaluation for enhanced regular prevention and control (RPC). In this study, we focus on the core concept of prevention and control intensity (PCI), and establish a neoclassical economic growth model from the long-term and macro perspective to balance life protection and economic growth. The model construct the mechanism of PCI on economic growth through population dynamics and capital accumulation under the backdrop of RPC for PHEs. We find the conditions for PCI when the economy achieves steady state, and provides an algorithm establishing the optimal strategy that maximises per capita disposable income based on the optimal PCI and consumption. Simulation result quantifies an inverted U-shaped relationship between PCI and capital per capita, output per capita and consumption per capita in the steady state. The model suggests that, given the PHEs of inducing potential unemployment shock, it is worthwhile to combine the implementation of moderate PCI with coordinated policies of income distribution. Highlights: • Building a Neoclassical economic growth model under public health events (PHEs). • Model links regular prevention and control (RPC) to macroeconomic factors. • Exploring mechanism of RPC for PHEs on economic growth. • Appropriate prevention and control intensity can engender economic growth. [ABSTRACT FROM AUTHOR]

This study investigates the impact of inflation rate fluctuations on economic growth in China, with a particular focus on potential non-linear characteristics. The global economic impact of the COVID-19 pandemic notably heightens the study's relevance. The research that the unidirectional causal relationship from inflation to economic growth in China first strengthens and then weakens over time. Furthermore, there is an inflation rate threshold effect on economic growth, identified at 2%. Below this threshold, inflation positively influences economic growth, whereas above it, the impact turns negative. This finding underscores the importance of balancing economic growth with inflation control in the formulation of monetary policy. [ABSTRACT FROM AUTHOR]

This paper examines the factors influencing Kosovo's economic growth from 2009 to 2022, specifically investigating the relationship between export, capital formation, consumption, and economic growth using co-integration analysis and the Vector Autoregressive Model (VAR). The findings indicate that exports of goods and services, as well as household consumption, negatively affect economic growth. Conversely, gross capital formation positively impacts economic growth. The study underscores the complexity of economic growth, highlighting the varied significance of different determinants in different contexts. Key findings reveal that while export and gross capital formation are significant contributors to economic growth, household consumption shows an insignificant relationship to GDP. This research contributes to the ongoing debate on the critical factors influencing economic growth, providing empirical evidence from the context of Kosovo and enhancing our understanding of these dynamics, thus offering new insights for policymakers. [ABSTRACT FROM AUTHOR]

The transformation and upgrading of China's manufacturing industry is supported by smart and green manufacturing, which have great potential to empower the nation's green development. This study examines the impact of the Made in China 2025 industrial policy on urban green economic growth. This study applies the super-slacks-based measure model to measure cities' green economic growth, using the double machine learning model, which overcomes the limitations of the linear setting of traditional causal inference models and maintains estimation accuracy under high-dimensional control variables, to conduct an empirical analysis based on panel data of 281 Chinese cities from 2006 to 2021. The results reveal that the Made in China 2025 strategy significantly drives urban green economic growth, and this finding holds after a series of robustness tests. A mechanism analysis indicates that the Made in China 2025 strategy promotes green economic growth through green technology progress, optimizing energy consumption structure, upgrading industrial structure, and strengthening environmental supervision. In addition, the policy has a stronger driving effect for cities with high manufacturing concentration, industrial intelligence, and digital finance development. This study provides valuable theoretical insights and policy implications for government planning to promote high-quality development through industrial policy. [ABSTRACT FROM AUTHOR]

This study investigates the relationship between Foreign Direct Investment (FDI) inflows and economic growth at sectoral levels in Bangladesh, employing a panel study framework. Utilizing sectoral-level panel data spanning six sectors from 2007–08 to 2018–19, the analysis is conducted using Panel Vector Error Correction Model (Panel VECM). Results from panel unit root tests confirm that all variables are integrated of order one I (1), indicating stationarity. The Pedroni panel co-integration test further supports the presence of co-integration among the variables. Notably, the Panel VECM reveals evidence of a unidirectional causal relationship from Real Gross Domestic Product (RGDP) to Real Foreign Direct Investment (RFDI) across all six sectors of Bangladesh. The findings underscore the significance of formulating pragmatic policies and implementing them effectively to attract FDI across sectors, thereby contributing to the overall economic growth of Bangladesh. [ABSTRACT FROM AUTHOR]

In this paper, we study asymptotic model change detection in multivariate linear regression by using the Kolmogorov–Smirnov function of the partial sum process of recursive residuals. We approximate the rejection region and also the power function of the test by establishing a functional central limit theorem for the sequence of the partial sum processes of the recursive residuals of the observations. When the assumed model is true, the limit process is given by the standard multivariate Brownian motion which does not depend on the regression functions. However, when the assumed model is not true (some models change), the limit process is represented by a vector of deterministic trend plus the standard multivariate Brownian motion. The finite sample size rejection region and the power of the test are investigated by means of Monte Carlo simulation. The simulation study shows evidence that the proposed test is consistent in the sense that it attains the power larger than the size of the test when the hypothesis is not true. We also demonstrate the application of the proposed test method to Indonesian economic growth data in which we test the adequacy of three-variate low-order polynomial model. The test result shows that the growth of the Indonesian economy is neither simultaneously constant nor linear. The test has successfully detect the appearance of a change in the model which is mainly caused by the COVID-19 pandemic in 2020. [ABSTRACT FROM AUTHOR]

The aim of this research is to introduce two new notions, Θ -(Ξ ,h)-contraction and rational (α , η) - ψ -interpolative contraction, in the setting of F -metric space and to establish corresponding fixed point theorems. To reinforce understanding and highlight the novelty of our findings, we provide a non-trivial example that not only supports the obtained results but also illuminates the established theory. Finally, we apply our main result to discuss the existence and uniqueness of solutions for a fractional differential equation describing an economic growth model. [ABSTRACT FROM AUTHOR]

Countries devote a lot of time and effort to develop economically, but they nevertheless struggle to attain that growth consistently. Research into economic growth should have provided some guidance as to which actions these countries should adopt, but multiple studies using different methods and datasets generally have led to an array of outcomes that contradict one another. However, Granger causality analysis can provide better insight into the relationship between some key variables and economic growth to give these countries more direction. Granger causality results establish a stronger connection between variables, even though they do not depict true causation. We therefore use a Vector Auto Regression method with Generalized Method of Moments estimation and then Grangercausality to discover how commonly used variables in the literature individually impact economic growth and in what way for a selection of OECD and non-OECD countries. We choose government expenditure, foreign direct investment (FDI), education (as a proxy for human capital), population growth, urbanization, and trade openness as our variables of interest. We also utilize updated datasets from the World Development Indicators (WDI) ranging from the years 2000-2016, based on the availability of the data. We find that FDI and population growth do Granger-cause economic development for OECD countries but that government expenditures, education, urbanization, and trade openness do not show such Granger causality. However economic growth Granger-causes government expenditures, FDI, and education for these OECD countries. For the non-OECD countries, we find that FDI, population growth, and trade openness Granger-cause growth but Granger causality does not occur from government expenditure, education, and urbanization to economic development. Yet similar to the OECD countries, economic growth does Granger-cause FDI and trade openness for the non-OECD countries as well. The overall results indicate that all countries should encourage the expansion of foreign direct investment to grow their economy, which then in turn can lead to additional investment as well as more resources available for the country as a whole. We also suggest further studies should focus on the economic development of individual countries rather than regions, particularly in terms of how technology can drive growth and impact these other variables. [ABSTRACT FROM AUTHOR]

This research aims to examine the effects of the development in the higher education and financial sector on economic growth in the case of North Cyprus. Findings of time series data show that there is a long-term equilibrium relationship between real income and its elements such as labor, capital, higher education, and financial growth. Results show that both capital and labor have a statistically significant effect on economic growth. Additionally, development in the financial sector is a significant contributor to economic growth, however, higher education shows evidence of greater contribution to economic growth in North Cyprus. It draws attention that the higher education sector has a greater impact on economic development than the financial sector. In this context, government authorities should support both the financial and higher education sectors in order to accelerate their contribution to economic development. Policymakers needed to concentrate more on the higher education sector in Northern Cyprus. [ABSTRACT FROM AUTHOR]

This paper discusses some comparative analysis between the pattern of economic performances in Asia and Western Europe during 1950s-2020s through political economies perspective. The Asian and Western European economic performances are investigated through some stylized facts in the sense of economic factors. Three analyses are used to explain the general pattern of these regions. First, this study examines the pattern of GDP growth per capita during the 1950s-2020s, focusing on several countries in this region. Second, the analysis captures the pattern of linkages of economic variables in this region related to the principle of Circular and Cumulative causation (CCC) and contradiction. Third, the analysis employs a historical perspective underpinned by the results in the second analysis. This third analysis is crucial to appreciating Asia's global economic performance and also the process of Western deterioration phenomenon through long wave, including the occurrence recession and financial crises. The institutions of globalization and neoliberalism that put the power of capital promoted a financial crisis several times during the decades of 1980s-2020. The financial crisis is depicted by contradictions in the structural linkages among economic factors in Western Europe over the period. [ABSTRACT FROM AUTHOR]

Contemporary development policy concentrates predominantly on reducing noticeable economic differences in a spatial system, and an important role in this respect is played by EU Cohesion Policy. Owing to the considerable scale of financial exposure of Cohesion Policy, the assessment of effectiveness of the implemented measures and their greater reliance on evidence are of major significance. Despite numerous attempts to empirically verify the effects of EU funds spending, the problem remains unresolved, and the results of recent studies lead frequently to ambiguous conclusions. The article aims to verify the β-convergence process in EU regions in the years 2007–2015 allowing for the impact of the received EU funds and the spatial effects determining economic growth. In the research, use was made of a convergence approach consisting in the regression modelling of per capita GDP growth. Spatial econometrics methods were applied, by adding variables determining spatial interactions that can influence the economic growth rate to the specification of the estimated models. The estimated econometric models show that in the years 2007–2015 EU funds positively affected economic growth. At the same time, the process of reducing economic disparities between EU regions was observed. Moreover, the existence of spatial effects for a dependent variable was confirmed. The results also show that the value of the EU funds received in the surrounding area generally did not translate into the dynamics of growth in a given location. The research presented is one of the few in which spatial interaction was verified by using weights matrices based on contiguity, distance, flows and affiliation. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to provide a comprehensive analysis on the economic relationship between trade openness and economic growth and to identify current developments, potential research area and future directions. The emphasis is on the identification of annual growth of publications, country-wise distribution, publication pattern, intellectual structure and cluster analysis of scientific production in this field. Design/methodology/approach: This study used evaluative techniques, text mining approach and performance analysis to identify possible patterns and correlation and to measure the impact of authors/citations/scientific production. Further, this study used the bibliometric mapping to represent the structural features of scientific production. This study emphasized on identification of the research hotspots based on occurrence of indexed keywords, productive researchers and journals during 2000–2022. Further, cluster analysis is performed using VOS viewer to analyze the current dynamics and future direction of the association between trade openness and economic growth (Eck and Waltman, 2011). Also, co-citation analysis is used in this study to identify the relations among authors or journals or documents using citation data, whereas the bibliographic coupling/mapping is intended to analyze the citing documents. Similarly, co-word analysis is used to study the article keywords that are mainly used to assess the conceptual structure of a concerning subject. Findings: Economic growth is a function of trade openness, and it is important to analyze the relationship between trade openness and economic growth. Trade openness tends to become more liberalized over time, to contribute more to economic growth. Empirical evidence suggested that there exists a strong association between trade openness and economic growth. Further, keyword timeline analysis illustrated that the linkage between trade openness and economic growth is current area of interest among researchers. As per bibliometric analysis, China, Pakistan and Malaysia are the three most prolific countries in the terms of published articles on this theme. However, the most influential publications based on h-index and citation on trade openness–economic growth relationship is produced by Turkey. Based on cluster analysis, this study suggests that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Research limitations/implications: There are some limitations of this study. The first limitation is the authors have used Scopus database, leaving the possibility for future research to use Web of Science, Google Scholar or other similar sources. The second limitation is that the authors have used search terms "trade openness "and "economic growth," although research could be performed using synonyms or even relevant terms in other languages. Practical implications: Cluster analysis suggested that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Therefore, this study identified the potential research area in this research domain. Originality/value: To confirm the originality of this study, to the best of the authors' knowledge, this is the first study to combine bibliometric analysis and cluster analysis on trade openness–economic growth relationship. This study makes a comparison with phenomena/processes/events in contemporary economic and social reality in the field of trade openness and economic growth relationship. [ABSTRACT FROM AUTHOR]

This research investigated the influence of control of corruption on the economic growth of Nigeria spanning from 1996 to 2022. The Autoregressive Regressive Distributed Lagged Model was employed for data analysis. The study found that control of corruption has weak positive influence on economic growth in Nigeria in the long run but a strong negative influence on economic growth in the short-run. The dual nature of the influence of corruption control on economic growth in Nigeria—weakly positive in the long run and strongly negative in the short run—can be rationalized by considering the gradual nature of institutional change. The study recommends the empowering of anti-corruption agencies like the Independent Corrupt Practices Commission (ICPC) and enforcing strict sanctions to influence cultural and moral change, while creating additional agencies, promoting transparent leaders, and fostering public discourse. [ABSTRACT FROM AUTHOR]

This study examines the dynamic relationship between good governance and economic growth in Oman. The research uses financial and macroeconomic data to assess this relationship and test the proposed hypotheses. The data and variables are analyzed using EViews software, employing the autoregressive distributed lag (ARDL) model. The study findings reveal that the Foreign Investment Competitive Index significantly moderates economic growth, albeit with some adverse effects. The findings of this study have important implications for policymakers seeking to foster Oman's economic growth. First, the study suggests that the government should improve good governance, particularly transparency, accountability, and the rule of law. Second, the study suggests that the government should improve the Foreign Investment Competitive Index. These steps include reducing bureaucratic red tape, improving the legal framework for foreign investment, and providing incentives for foreign investors. The findings of this study also have implications for scholars investigating governance and economic growth. The study provides empirical evidence of the link between good governance and economic growth, and it suggests that the Foreign Investment Competitive Index plays a moderating role in this relationship. These findings can inform future research on governance and economic growth. [ABSTRACT FROM AUTHOR]

This study examined the relationship between Islamic financial inclusion and economic development in Indonesia and Iraq using panel data from 2000 to 2014. The study used variables such as GDP per capita growth, education, inflation, government consumption, trade openness, domestic credit, loans by Islamic financial institutions, the rule of law, and regulatory quality. The findings showed significant variation across countries and periods regarding economic development, education, and the adoption of Islamic finance. Correlation analysis revealed both positive and negative relationships between the variables. Panel unit root and cross-sectional dependency tests highlighted the need for advanced methods to analyze panel data. Panel co-integration tests suggested evidence of a long-term relationship between Islamic financial inclusion and economic development. The FMOLS estimators demonstrated the significance and direction of the relationships. The study provided insights into the role of Islamic financial inclusion in promoting economic development in Indonesia and Iraq, emphasizing the potential benefits of integrating Islamic finance into the financial systems of these countries. [ABSTRACT FROM AUTHOR]

This work analyzes the validity of Kaldor’s propositions for the Colombian economy from 1976 to 2016. The manufacturing industry is considered the key sector for economic growth because its increasing returns are higher than in other sectors. Our analyses draw on a production and employment time series for several sectors in Colombian economic activity. The results are based on the Newey-West estimator and AR(1) auto-regressive models employing Cochrane-Orcutt, Prais-Winsten, and Hildreth-Lu procedures. Our findings were consistent with a Kaldorian viewpoint and suggest that manufacturing has a major influence on economic growth; it also features technological spillovers that could stimulate productivity gains in other sectors of the Colombian economy. This goes to show the importance of encouraging industrial production in developing countries. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the relationship between agricultural methane and nitrous oxide emissions as a function of per capita gross domestic product (GDP) and its quadratic term in 26 Latin American and Caribbean countries (1990-2019). It also considers the stock of foreign investment to test the polluting paradise hypothesis, agricultural land (AL), and, additionally, methane for nitrous function. The study comprised unit root and cointegration tests. Coefficients were estimated by using fully modified least squares (FMOLS), correlated common effects (CCE), and augmented mean group (AMG). Results by FMOLS show statistical evidence of an environmental Kuznets curve in the set of countries for methane and support the polluting paradise hypothesis. However, results from CCE and AMG show the opposite. For nitrous oxide, FMOLS confirms a U-shaped curve. The above supports a joint environmental policy for both gases, where AL is a key element. The previous results must be corroborated with other methods and the studies extended to other countries over time. [ABSTRACT FROM AUTHOR]

This research reviews the Grease the Wheels (GTW) and Sand the Wheels (STW) hypotheses and the effects of corruption on innovation and economic growth. The study used principal component analysis methodologies and structural equation modeling. Employing the former, it is concluded that both hypotheses could be fulfilled, but only for some of the country's federal states. Meanwhile, in the case of structural equations, it is concluded that corruption facilitates innovative activity and economic growth (GTW). This has implications since it is shown that higher budgets for science and technology do not necessarily lead to better results in this field. [ABSTRACT FROM AUTHOR]

This article examines Brazil's economic experience between 2003 and 2016, its limits in promoting development and structural change while analyzing the policies adopted and their consequences. The economic growth model based on the conciliation of competing interests and the maintenance of liberal orthodoxy proved unsustainable in the medium term. Maintaining the overvalued exchange rate and high-interest rate hindered industry and national development. The timid attempt at developmentalism could not contain the process of deindustrialization and financialization. The neoliberal agenda was maintained, which prevented structural changes and deepened financialization. [ABSTRACT FROM AUTHOR]

This paper examines the sources of growth in selected African and East Asian countries, using the growth accounting framework on data from 1960 to 2016. We demonstrate the causal association between labour quantity, total capital service (TKS), total factor productivity (TFP) and economic growth. The lower growth in GDP during the 1980s and 1990s in Africa matches with the slower growth in TKS. The TFP growth does not explain the economic growth difference among countries; it contributed negatively to GDP growth in the two regions until the 2000s. However, in African countries, its positive contribution during the 2000s returned to negative in the 2010s, while Asian countries continued driving a positive contribution up to 28.9% as a result of TFP growth. In all East Asian countries, TKS contributed more than half of their growth in GDP, which makes their growth capital-driven, while African countries' growth in GDP was more dependent on labour quantity growth. In Africa, we discovered bidirectional causality between labour quantity and GDP and between TKS and GDP, as well as unidirectional causality running from GDP to TFP. In East Asia, we found only a one-way causality running from GDP to TKS and to TFP. Policymakers in Africa should adopt policies aimed at increasing capital accumulation and efficient allocation of economic resources in order to sustain growth acceleration. [ABSTRACT FROM AUTHOR]

The objective of this research paper is to apply a mathematical model to estimate and predict the economic growth of the Caspian countries in the period from 1995 to 2022. We use multiple regression by applying the OLS method to estimate the impact of global oil price, energy resource production per capita, trade, and renewable energy on GDP per capita. The mathematical approach uses fixed and random effects models to assess the overall impact of the independent variables on economic growth in this region and over the period analysed. This study also aims to investigate whether the explanatory variables are cointegrated in the long run; as such, we carry out several mathematical cointegration tests, namely the Pedroni and Johansen tests. The mathematical analysis is completed by the estimation of short- and long-run parameters using the stochastic VAR/VEC models, the impulse response function, and the causality test to assess economic growth in this region. This study's main finding is that GDP per capita is increasingly influenced by its previous values, which is confirmed by considering lag 1 and lag 2. The results of the Granger causality tests identify several bidirectional relationships between GDP per capita and oil and gas production. These relationships are clearly positive evidence of the growth trend and progress of economic activity in the Caspian region. The practical implications of the study aim to promote and support the use of renewable energy sources. In this sense, policymakers in the Caspian countries should create favourable conditions for the transition to a green economy. An important aspect is the efforts of the government authorities to make their policies more environmentally friendly, as decarbonisation is a good practice in the current context of sustainability and related choices. As the Caspian countries are heavily dependent on conventional energy production, it is essential for them to increase their export earnings from energy resources via diversifying and strengthening new energy opportunities and partnerships. [ABSTRACT FROM AUTHOR]

In recent years, as China experiences economic expansion and its corporations become more global, it has notably become a central hub for cross-border mergers and acquisitions (M&A) on the world stage. The Chinese government, in tandem, leverages these international M&A operations to drive industrial transformation and progress in technology. This research investigates the role of China's industrial policies in shaping cross-border M&A activities by examining recent instances. Findings indicate that relaxing financial barriers and applying specific industrial tactics bolster companies' abilities to secure funding, consequently energizing cross-border M&A initiatives. Several firms in these international mergers and acquisitions are intricately connected to political strategies, markedly affecting the formulation of industrial policies. This assertion is corroborated through the analysis of relevant statistical evidence. The study methodically collects and scrutinizes data to quantitatively depict the current landscape and influencing elements of cross-border M&A, thus providing concrete evidence for policy and business strategy formulation. [ABSTRACT FROM AUTHOR]

Sustainable development and raising the domestic value-added rate of exports (DVARE) have become essential priorities in the pursuit of high-quality economic growth. An econometric spatial model is developed in this research using data on Chinese enterprises spanning 2008 to 2019. According to a study, exports' domestic value-added rate (DVAR) can be successfully increased using environmental, social, and governance (ESG) practices. Spatial spillover analysis demonstrates that adopting ESG practices boosts export DVAR both within and between regions. According to heterogeneity analysis, the sample's overall increase in DVARE as a result of ESG practices is mostly attributable to the mix and processing trade organizations, the eastern area, and large firms. An examination of the underlying mechanisms shows that businesses that implement advanced technologies are able to reinforce the favorable impact of ESG practices on DVARE. This article gives evidence from real-world studies that show how ESG practices help boost Chinese exports and advance sustainable development. The findings hold significant implications for other developing nations as they make the transition towards a pattern of economic growth. [ABSTRACT FROM AUTHOR]

The benefits of energy efficiency are recognized in multiple socio-economic spheres. Still, the quantitative impact on macroeconomic performance is not fully understood, as modeling tools are not thermodynamically consistent—failing to explicitly include the useful stage of energy flows and/or thermodynamic efficiencies in primary–final–useful energy transformations. Misspecification in the link between energy use and the economy underplays the role of energy use and efficiency in economic growth. In this work, we develop and implement the Macroeconometric Resource Consumption model for Portugal (MARCO-PT), 1960–2014. Based on the post-Keynesian framework developed for the United Kingdom (MARCO-UK), our model explicitly includes thermodynamic energy efficiency, extending the analysis to the useful stage of energy flows. The model's stochastic equations are econometrically estimated. The historical influence of key variables—namely thermodynamic energy efficiency—on economic output is assessed through counterfactual simulations and computation of year-by-year output elasticities. The MARCO-PT model adequately describes the historical behavior of endogenous variables. Although its influence has decreased over time, thermodynamic efficiency has consistently been the major contributor to economic growth between 1960–2014, with an average output elasticity of 0.46. Total useful exergy is also a major contributing factor, with an average output elasticity of 0.29. Both have a higher influence than capital, labor, or other energy variables (final energy, prices). An adequate integration of thermodynamic efficiency is thus crucial for macroeconomic models. [ABSTRACT FROM AUTHOR]

This paper investigates whether renewable energy influences economic growth and happiness. Using panel data from 25 European Union countries for the period 2012–2022, this study employs a panel model for estimation with fixed and random effects, and robust HAC standard errors. According to the research results, in general, the growing share of renewable energy in the energy mix has a positive impact on economic growth and the happiness of citizens. However, detailed research has shown that this effect depends on the type of energy; a significant positive impact was recorded only in solar share energy, wind share energy and economic growth. However, almost all types of renewable energy were included, i.e., biofuel, hydro, solar and other renewable share energy, and all had a significantly positive impact on the level of happiness. The exception was wind share energy, which showed a significant negative impact. The research findings of this paper provide empirical support for promoting renewable energy, which is positive both for economies and the happiness of citizens. It is one of the main aspects of sustainable economic growth. [ABSTRACT FROM AUTHOR]

The digital economy (DE) has become a major breakthrough in promoting industrial upgrading and an important engine for high-quality economic growth. However, most studies have neglected the important driving effect of regional economic and social (RES) development on DE. In this paper, we discuss the mechanism of RES development promoting the development of DE, and establish a demand-driven regional DE development model to express the general idea. With the help of spatial analysis toolbox in ArcGIS software, the spatial development characteristics of DE in the Yangtze River Delta City Cluster (YRDCC) is explored. We find the imbalance of spatial development is very significant in YRDCC, no matter at the provincial level or city level. Quantitative analysis reveals that less than 1% likelihood that the imbalanced or clustered pattern of DE development in YRDCC could be the result of random chance. Geographically weighted regression (GWR) analysis with publicly available dataset of YRDCC indicates RES development significantly promotes the development of DE. [ABSTRACT FROM AUTHOR]

Nowadays, economic growth is influenced by many domestic and foreign global issues, concerning the decrease of industrial output for the rise in economic inequality and the weakening of the overall condition in the countries. The role of economic growth is based on human capital and investment. Therefore, in this paper, the human capital and economic management system (HC‐EMS) has been proposed to enhance the country's quality based on the capital structure investment. HC explores the role of command and its significance in the production and creation aspects of human capital such that an area can grow creatively. HC‐EMS analysed critical monitoring systems for developing human resources and the high‐tech and creative economic sectors and presented suggestions for change. Besides, there is a need to prove the shortcomings and benefits of human resource development systems and statistical approaches for gathering and analysing information. The impact of financial services and financial transactions may vary; therefore, it is critically important for fostering economic growth. The experimental result suggests that the proposed HC‐EMS achieves the highest growth development ratio than other existing methods. [ABSTRACT FROM AUTHOR]

Decoupling the dependence on carbon emissions from achieving high-quality economic development is a paramount objective for China. However, the often-overlooked aspect is the carbon emissions generated through trade activities, which can lead to an overestimation of decoupling progress. Our study quantified and compared the decoupling status of production-based and consumption-based carbon emissions from economic growth in Guangdong from 2002 to 2017 from the perspective of inter-provincial embodied carbon flow, and further investigated its driving factors. The results reveal that consumption-based carbon emissions consistently surpass production-based emissions, although they exhibited a steady decline in recent years. As a significant contributor to embodied carbon emissions, Guangdong outsources a considerable portion of its emissions to less developed regions such as Liaoning and Guangxi by importing raw or intermediate products with lower value-added raw, while it exports service products to provinces like Beijing and Zhejiang. Decoupling analysis indicated that Guangdong is progressively moving towards an optimal state of "double decoupling", where both production and consumption-based carbon emissions are decreasing. This represents a departure from the previous scenario of "fake decoupling", characterized by a reduction in production-based carbon emissions but persistently high consumption-based emissions. Additionally, our structural decomposition analysis highlights the potential for reducing carbon emissions and enhancing decoupling by increasing the utilization of clean energy and optimizing the trade input structure. These findings underscore the importance of accounting for embodied carbon emissions in decoupling studies and offer valuable insights for achieving high-quality development. • We compare the decoupling status of production and consumption-based emissions from GDP. • Multi-Regional Input-Output tables from 2002 to 2017 is used. • Guangdong outsources most of its emissions to less developed regions. • Guangdong achieves a double decoupling, where both production and consumption-based emissions are decreasing. • Increasing the utilization of clean energy and optimizing the trade input structure can enhancing decoupling. [ABSTRACT FROM AUTHOR]

China's coastal region is the major geographical unit for the future development of China's industrial sector. The transformation of basic structure to high-class development in China's coastal places is a significant tool for promoting the changes related to quality, power and efficiency in regional economic development. In the 21st century, environmental and energy issues have increased worldwide, and challenges related to environmental pollution, energy crises, and ecological imbalances have emerged. To climate change and energy utilization, the sustainable progress of clean energy is the new route of future energy development. Based on China's non-polluting energy growth process in the last ten years, this article explores China's clean/green energy policies and economic growth development plans. Clean energy utilization is crucial for sustainable development in the context of high-quality economic growth and climate change. However, the monetary evolution and carbon emission are not investigated whole from the clean energy aspects. Using Wind energy sources as the acceptable variable, this paper employs threshold regression and impulse functions to assess the energy consumption and economic growth on carbon emission in 30 Chinese provinces over the 2000 to 2020 period. The Deep Belief Network (DBN) model predicts wind energy utilization and efficiency. The results show that economic development and carbon emissions are connected. Further, growth influences promote the offset of carbon emissions. Green innovation alters the nexus of carbon emissions, and China's economy reduces carbon usage. It provides the decision-making policies for clean energy development. • China's Coastal region is the major geographical unit for the future development of China's industrial. • In high-quality economic growth and climate change, clean energy use is vital for sustainable development. • The utilization of wind energy and it's efficiency is predicted using Deep Belief Network (DBN) model. • Empirical results link economic growth with carbon emissions, showing growth promotes emissions offset. • Green innovation changes the economic growth-carbon link, aiding China's carbon reduction efforts. [ABSTRACT FROM AUTHOR]

The carbon emissions trading system (CETS) is a helpful policy instrument for separating carbon emissions from economic expansion, and it significantly impacts energy efficiency (EE). This study uses 30 Chinese provinces from 2007 to 2020 as its research samples, and classifies energy efficiency into single-factor energy efficiency (SFE) and total-factor energy efficiency (TFE), using the difference-in-differences model to examine the effect and mechanism of the CETS on EE. As an additional tool to assess the efficacy of the CETS, the corresponding evolution of the rebound effect of energy-related carbon emissions (RECE) is also calculated. This study shows that the CETS can significantly improve EE in China's pilot provinces. The influence mechanism indicates that the effect of the CETS on EE is influenced by the level of government governance, green innovation, and industrial structure optimization. Further study finds that after the CETS was carried out, the RECE in pilot provinces was higher than that in non-pilot provinces, and 31.4% of carbon emissions reduced by EE improvement rebounded. Therefore, the CETS has yet to realize its full carbon reduction potential. The study offers specific policy proposals for the enhancement of China's CETS in light of the aforementioned findings. [ABSTRACT FROM AUTHOR]

With the rapid progress of urbanization in China, the real estate industry, characterized by a long industrial chain, has become a pillar industry for economic development. Therefore, we inspect the nexus between land finance, housing prices, and economic growth. For this purpose, we use the panel data of 277 cities at the prefecture level or above in China from 2011 to 2019, and empirically examine it by using the Panel Vector Auto Regression (PVAR) model. The results show that there is a causal relationship between housing prices and economic growth. Housing prices promote economic growth in the short term and inhibit it in the long term. Both economic growth and housing prices have a significant impact on land finance. The economic growth show a significantly positive impact, while housing prices promote land finance in the short term with a long-term trend from positive to negative. This is the first study that tries to probe the relationship between urban housing prices, land finance, and economic growth by considering 277 prefecture-level and above cities in China. To promote the stable development of the regional economy, local governments need to overcome their dependence on the housing market and land finance and promote the healthy development of the housing market. [ABSTRACT FROM AUTHOR]

Purpose: Rehabilitation is a set of services designed to increase functioning and improve wellbeing across the life course. Despite being a core part of Universal Health Coverage, rehabilitation services often receive limited public expenditure, especially in lower income countries. This leads to limited service availability and high out of pocket payments for populations in need of care. The purpose of this research was to assess the association between macroeconomic conditions and rehabilitation expenditures across low-, middle-, and high-income countries and to understand its implications for overall rehabilitation expenditure trajectory across countries. Materials and methods: We utilized a panel data set from the World Health Organization's Global Health Expenditure Database comprising the total rehabilitation expenditure for 88 countries from 2016 to 2018. Basic macroeconomic and population data served as control variables. Multiple regression models were implemented to measure the relationship between macroeconomic conditions and rehabilitation expenditures. We used four different model specifications to check the robustness of our estimates: pooled data models (or naïve model) without control, pooled data models with controls (or expanded naïve model), fixed effect models with all controls, and lag models with all controls. Log-log specifications using fixed effects and lag-dependent variable models were deemed the most appropriate and controlled for time-invariant differences. Results: Our regression models indicate that, with a 1% increase in economic growth, rehabilitation expenditure would be associated with a 0.9% and 1.3% increase in expenditure. Given low baseline levels of existing rehabilitation expenditure, we anticipate that predicted increases in rehabilitation expenditure due to economic growth may be insufficient to meet the growing demand for rehabilitation services. Existing expenditures may also be vulnerable during periods of economic recession. Conclusion: This is the first known estimation of the association between rehabilitation expenditure and macroeconomic conditions. Our findings demonstrate that rehabilitation is sensitive to macroeconomic fluctuations and the path dependency of past expenditures. This would suggest the importance of increased financial prioritization of rehabilitation services and improved institutional strengthening to expand access to rehabilitation services for populations. [ABSTRACT FROM AUTHOR]

As a product of combining digital technology and traditional finance, digital inclusive finance plays a vital role in economic growth. This paper deeply analyzes the impact of digital inclusive finance on economic growth and the specific transmission path. This research selects the municipal panel data of Beijing-Tianjin-Hebei from 2011 to 2020 and empirically studies the impact of digital inclusive finance on economic growth. From the perspectives of industrial structure transformation speed, industrial structure upgrading, and industrial structure rationalization, this study analyzes the role of industrial structure in the impact of digital inclusive finance on economic growth and tests the heterogeneity of the impact of digital inclusive finance on economic growth. The results show that digital inclusive finance has a significant role in promoting economic growth. The depth of use of digital inclusive finance has the most significant impact, followed by the breadth of coverage, and the degree of digitization is the smallest. The industrial structure transformation speed and the industrial structure rationalization play a significant intermediary role in the economic growth effect of digital inclusive finance, and the industrial structure upgrading has no significant impact on the economic growth effect of digital inclusive finance; the promotion effect of digital inclusive finance on economic growth is bigger in the economically developed group, the higher digital inclusive finance group and the technologically developed group, and the promotion effect is smaller in the economically underdeveloped group, the lower digital inclusive finance group and the technologically underdeveloped group. The results provide a strong reference for policy formulation to promote the development of digital inclusive finance and economic growth. [ABSTRACT FROM AUTHOR]

Against the background of climate change and scarce non-renewable resources, transforming the fossil-based toward a bio-based economy is considered crucial for sustainable development. Numerous countries have released governmental strategies outlining their bioeconomy visions. This study examines the bioeconomy visions presented in 78 policy documents from 50 countries worldwide, building on earlier vision typologies. Through qualitative content analysis, 227 distinct policy goals were identified and analyzed. Descriptive statistics were used to determine the salience of specific goals, overarching goal categories, and distinct bioeconomy visions: bioresource, biotechnology, and bioecology visions. The results reveal that goals and visions prioritize economic growth, while environmental considerations are less salient. The bioresource vision emerges as the globally dominant perspective, while the bioecology and biotechnology visions have lower salience. These findings deepen our comprehension of current bioeconomy policies and emphasize the need for critical research on bioeconomy visions and their implications for public policy. [ABSTRACT FROM AUTHOR]

Using the Morlet Wavelet approach and other time‐frequency decomposition techniques, this study investigates the dynamic relationship between energy prices, economic growth, and ecological footprint in Malaysia from 1975 to 2021. Our analysis reveals several key findings. Firstly, despite the absence of oil price volatility, the size of Malaysia's ecological footprint varies significantly over the study period. Secondly, energy prices contribute significantly to the ecological footprint. Thirdly, the association between energy prices and ecological footprint is stronger during periods of economic growth. Lastly, energy prices contribute to economic growth and inflation in the short run, but after factoring in the ecological footprint, the association extends into the long run. These findings suggest that Malaysia's economic growth is driven not only by energy prices but also by its ecological footprint. Moreover, the size of Malaysia's ecological footprint is driven by factors at the microeconomic level rather than energy prices alone. Therefore, the impact of energy prices on the macroeconomy, especially when considering the impact on the environment, is non‐linear. [ABSTRACT FROM AUTHOR]

In many ECOWAS countries, the decision-making process for public service delivery has long remained shrouded in secrecy, rendering the general public largely uninformed. Integrating information and communication technology (ICT) into public service delivery seeks to break these barriers. This study, therefore, investigates the impact of e-governance on economic growth among ECOWAS countries, with the specific objectives of examining the effect of four components of e-governance as well as other postulated determinants on economic growth. By employing annual data across 16 ECOWAS countries spanning from 2003 to 2021, using system generalised method of moment (SGMM) and panel-corrected standard error (PCSE) techniques. The results from the PCSE and SGMM estimations show that e-governance positively influences economic growth among ECOWAS countries both in the long- and short-run. Furthermore, the study identifies the significant influence of various control variables on economic growth, persisting in both short and long-run analyses, except for the labour force variable in the short run. This underlines the intrinsic correlation between e-governance and economic growth. Consequently, it becomes imperative for stakeholders within the sub-region to meticulously link investments in e-governance with measurable economic growth outcomes. By doing so, these investments can substantiate expansive initiatives in public service delivery, while simultaneously bridging the historical gap of opacity that has separated citizens from effective government management. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "The influence of AI on the economic growth of different regions in China" published in Scientific Reports. The correction addresses an incomplete funding section in the original article and provides the correct information. The research is funded by the China Scholarship Council, the local innovation sub-project of the Western Project of the Sichuan Provincial, and supported by the Sichuan Provincial Science Foundation Project. The original article has been corrected. The authors of the article are Shuang Lin, Minke Wang, Chongyi Jing, Shengda Zhang, Jiuhao Chen, and Rui Liu. [Extracted from the article]

The essence of China's contemporary green economic transition is to enhance the capacity of the green production system, emphasizing regional technological and intellectual capabilities as the primary force of green economic growth (GEG). Economic complexity can reflect hidden regional production capacity, providing a new analytical tool for exploring GEG. Using a city–year panel dataset from 2000 to 2016, this study incorporates economic complexity and GEG into a unified research framework, adopting a fitness–complexity algorithm to measure Chinese urban economic complexity to empirically examine the influence and mechanisms of economic complexity on GEG. The results show that increased economic complexity promotes GEG by enhancing green technological innovation capacity and facilitating industrial structure upgrading, with one standard deviation increase in economic complexity followed by a 2.1% rise in GTFP. In addition, we emphasize the moderating effect of the government and the public, arguing that increased government environmental attention and public environmental concern reinforce the contribution of economic complexity. Finally, the findings reveal that public policies focusing on improving the economic complexity of low-complexity areas can strike a good balance between fairness and efficiency. [ABSTRACT FROM AUTHOR]

A sustainable economy through the rational spatial expansion of coastal areas is an increasingly essential global topic. This paper aims to explore the mechanism by which supporting cities influence the spatial expansion of economic development zones (EDZs) in 264 coastal EDZs of China during 1995–2020. Meanwhile, the effects of variations in the distance between supporting cities and coastal EDZs and different city scales are considered. The results provide new explanations for realizing the sustainable development of the coastal economy by planning EDZs at a suitable location from the supporting city. The supporting cities' economic strength can significantly contribute to the spatial expansion of coastal EDZs. The influence shows a distance decay law when the distance is less than 47.692 km, between 47.692 and 58.039 km, and greater than 58.039 km, with impact coefficients of 0.479, 0.393, and 0.212, respectively. The average spatial scale of coastal EDZs varies in an "inverted U–shape" with increasing distance. The average spatial scale of the urban general radiation type (47.692 km ≤ distance <58.039 km) is the largest. Supporting cities' scale affects the economic radiation range of supporting cities. The results suggest three implications for the future development of coastal EDZs. 1) Building the EDZ while incorporating practical development needs; 2) Scientifically planning the spatial layout of EDZs; 3) The synergistic development of supporting cities, transportation hubs, and EDZs. [Display omitted] • Supporting cities can promote coastal economic development zones' expansion. • The contribution of supporting cities to zone expansion shows a distance decay law. • The average spatial scale of coastal zones shows an "inverted U-shaped" change. • Supporting cities scale affects the economic radiation range by supporting cities. [ABSTRACT FROM AUTHOR]

Sustainable development goals, particularly number 7, clearly urges economies over the globe to multiple their efforts in order to improve efficiency. Although witnesses stressed out the importance of energy efficiency and claimed that when it is improved drastically, it triggers economic growth, however, the reported evidences to support the claim are mixed. In BRICS scenario, economies are experiencing the change from high-speed growth to high quality growth, due to which it is equally important to look into green investment as it is an essential tool to build high quality economic growth. Although green investment targets energy conservation as well as ecological deficit as it main goal. However, limited literature claims that it affects economic growth as well. Thus, the present study aims to assess green investment, energy efficiency, and economic growth (EG) and their impact on economic freedom index of the BRICS countries. Methods of Moments-Quantile-Regression (MMQR) approach is applied to explore the association between the understudy constructs in the time span of 2001-2020. Interestingly, it is revealed that green investment, energy efficiency and renewable energy are positively related with economic freedom index of the BRICS countries. With the evidences, the study proposes a conclusive remark to spur development across the countries. [ABSTRACT FROM AUTHOR]

Social sustainability is a global necessity because of environmental and economic uncertainty. This issue needs the foremost solution, and for this purpose, researchers' and policymakers' emphasis is required. Thereby, the present paper investigates sustainable energy technologies such as solar and hydroelectric, eco-innovation and EG and their impact on social sustainability in China. The study also used industrialization and inflation as the control variables in the time span of 1981 to 2020. The present study also applied the Dynamic Auto-regressive Distributed Lags (DARDL) model to evaluate the association between the outlined variables. The results indicated that sustainable energy technologies such as solar and hydroelectric, eco-innovation, economic growth, industrialization and inflation are significantly associated with social sustainability in China. The present paper offers standard policies to regulators in making regulations related to maintaining social sustainability by using effective sustainable energy technologies and eco-innovation. [ABSTRACT FROM AUTHOR]

The study comprehensively analyzed the nexus between economic growth, health expenditures, education, and the environment in Nigeria, using data obtained from Central bank of Nigeria and World Bank. By utilizing a robust dataset spanning from 1981 to 2021, the study employed autoregressive distributed lag (ARDL) approach to uncover intricate relationships. Results, both short-run and long-run analyses, reveal that health and education spending, and gross fixed capital formation positively correlated with economic growth. Conversely, the findings demonstrated that population growth and carbon dioxide emissions (CO2) exerted detrimental effects on economic growth due to the negative impact on the health of the working population. Additionally, the inverted U-shaped relationship between the macroeconomic footprint and income confirms the validity of Nigeria's Environmental Kuznets Curve (EKC) phenomenon. Lastly, the findings of this study hold important policy implications, emphasizing the need for technological advancements and innovative solutions to address the challenges associated with economic growth, health expenditures, education, and the environment in Nigeria. Policy measures promoting birth control through contraception and family planning should be embraced to effectively manage the country's rapidly growing population. [ABSTRACT FROM AUTHOR]

This article analyzes the relationship between the services sector and Ecuadorian economic growth using cointegration and causality econometric techniques from 1990-2018. The results indicate that services as a whole, particularly trade and transportation, positively impact economic growth in the long run. However, in the short term, services as a whole have a negative effect, which may be explained by the continuous deterioration of their productivity. Meanwhile, there is a causality effect ranging from trade to economic growth, and from GDP per capita to services as a whole and transportation. [ABSTRACT FROM AUTHOR]

The study deployed two multivariate linear models in estimating the nexus of economic growth, technological development and in-country utilization of natural gas, using annual time series data on five variables - real gross domestic product per capita (RGDPC), natural gas consumption (NGC), technological development (TECH), trade openness (TOP), and industrialization (IND) - from 1986 to 2019. Using the method of error correction modeling (ECM), it is observed that technological development, gas consumption, trade openness, and industrialization have growth-stimulating effects on economic activities in Nigeria. The study further revealed that technological development, trade openness, and level of industrialization positively influenced natural gas consumption in Nigeria during the period. Based on our findings, we sustain the argument that (i) gas utilization and technological development are strong predictors of economic growth, and (ii) technological development greatly determines the level of natural gas consumption in the economy. We therefore recommend design and implementation of policies that promote research and development so as to ramp up technological innovation and development initiatives towards achievement of planned economic growth. In addition, improvements in technological development and convergence of global economies due to liberalization policies demands commensurate infrastructural expansion of natural gas production to reduce or eliminate possible mismatch between production and consumption of natural gas profiles. [ABSTRACT FROM AUTHOR]

Degrowth and post-growth economics has emerged as a particularly fruitful approach in the debates about the reorientation of economies in the Global North towards environmental sustainability, equality, need satisfaction and democracy. This perspective promotes a planned reduction of energy and resource use in the Global North to limit environmental pressures and global inequalities and improving well-being. Yet, the specifics of this "design" are not precisely delineated. On the one hand, there is a wide acceptance, at the abstract, most general, even definitional level, that degrowth involves planning or amounts to a planned transition. On the other hand, there is strikingly little explicit engagement with, debate on, and research into what exactly "planning beyond growth" could look like. This gap urgently needs to be addressed. By exploring the degrowth-planning nexus, this paper seeks to lay a foundation for this effort. First, it identifies in the degrowth/postgrowth literature the obstacles and the opportunities for further engagement with planning. Second, it advances an agenda-setting framework, delineating problems relative to democratic ecological planning beyond growth along three axis: elaboration, implementation and multilevel dynamics. • Laying the ground for an engagement between research on democratic planning and degrowth/postgrowth. • Identifying the obstacles to a more substantial engagement with debates on planning in the degrowth/postgrowth literature. • Delineating the key requirements and challenges for democratic planning beyond growth. • Advancing a bridging framework from the current economic institutional setting towards planning beyond growth. [ABSTRACT FROM AUTHOR]

The sustainability of the blue economy (BE) may be impeded by the adverse consequences of human activities, such as greenhouse gas (GHG) emissions, unsustainable economic expansion, and engagement in environmentally harmful trading practices. Therefore, this study aims to determine the impact of GHG emissions, trade, and economic growth on the BE. To achieve this, we used a panel dataset of 25 selected countries surrounding the Indian Ocean, covering the period 2002–2019. As a process of estimation, we employed the Westerlund error correction model to detect cointegration. To determine the long-term relationship among the variables, we adopted the cross-sectional autoregressive distributed lag (CS-ARDL) approach, which revealed a significant outcome in the long run but an insignificant outcome in the short run. In response to this divergence, the panel corrected standard error (PCSE) model was applied to correct the autocorrelation problem. Subsequently, a two-step generalized methods of moment (GMM) test was conducted to check robustness. Based on the results of PCSE and GMM, this study reveals that trade has a negative effect on the BE, while GHG emissions and economic growth have a positive ascendance. From a policy standpoint, all governments must integrate ocean-based solutions into their national climate pledges to fulfill the objectives outlined in the Sustainable Development Goals (SDGs), particularly SDG 14 (Life Below Water). [ABSTRACT FROM AUTHOR]

In an era where there is heightened worldwide attention towards environmental issues, the findings obtained from this study have the potential to contribute to policy-making processes that are grounded in empirical data. These policies are intended to foster sustainable economic development, decrease the release of greenhouse gases, and alleviate the negative consequences associated with climate change. The present study undertook a detailed analysis of key factors across OECD countries, encompassing the time period from 1990 to 2022. We utilized robust analytical techniques, such as the Method of Moments Quantile Regression, together with stringent diagnostic testing, to validate and strengthen our findings. The present study has successfully shown a robust and statistically significant correlation between economic expansion and the emission of greenhouse gases. This highlights the significance of implementing sustainable growth strategies that consider the environmental consequences. The findings suggest that both trade openness and globalization are inversely related to emissions, underscoring the potential advantages of international collaboration in mitigating carbon footprints. The study revealed that the emissions were highly influenced by the quality of institutions, highlighting the crucial importance of strong regulatory frameworks and effective environmental governance in controlling emissions. The influence of total natural resource rent and renewable electricity generation on emissions trends has been identified, highlighting the significance of sustainable resource management and the shift towards green energy. The findings of this study have substantial significance for OECD countries as they confront the complexities associated with climate change and the pursuit of environmental sustainability. It is advisable for policymakers to take into account the many effects of economic growth, trade, globalization, resource management, the adoption of renewable energy, and institutional quality on emissions. • This study delves into the determinants of greenhouse gas emissions in OECD countries from 1990 to 2022. • Factors such as economic growth, natural resource prices, and trade are found to contribute to increased CO2 emissions. • Improved institutional quality is associated with better environmental quality outcomes. • The impact of globalization appears to have a detrimental effect on greenhouse gas emissions. • Surprisingly, the study suggests that renewable electricity output does not play a significant role in reducing emissions. • The research employs cointegration regressions and robust least squares methods to validate the empirical findings. [ABSTRACT FROM AUTHOR]