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Energy transition and green innovation have appeared as new hopes for environmental impact due to human activity, which has destroyed biodiversity and increased environmental degradation. Therefore, developed and emerging economies are focusing on green innovation and energy transition to tackle the environmental impact. Thus, this study was initiated to provoke a meaningful relationship between energy transition, economic growth, trade, green innovation, and good governance to measure the role of concerning factors in achieving environmental sustainability. For this objective, dynamic econometric approaches such as cointegration, heteroskedastic OLS estimation using GMM (HOLS-GMM), AMG, and Driscoll–Kraay were implemented to estimate the Asian dataset between 1990 and 2022. The result indicates that concerning factors have a significant influence on environmental impact. The findings specify that a 1% rise in the energy transition and green innovation will influence the environment by 0.0517% and 3.051%, respectively. Further, AMG and Driscoll–Kraay validate the findings of HOLS-GMM. The robust tests indicate that the factors, which are concerning, significantly impact environmental sustainability. Consequently, the energy transition, trade, and green innovation significantly contribute to attaining ecological sustainability in the long term, and the Sustainable Development Theory prevails in the economy. Thus, innovative policy implications, including energy transition, green innovation, trade, and economic growth, are required to make Asia prominent in achieving environmental sustainability via implementing sustainable and green technologies and clean energy sources. [ABSTRACT FROM AUTHOR]

High-quality development (HQD) has been listed as the first and foremost task in building a modern socialist country in all respects and also an overarching issue of China's economic and social development in the new era. To achieve economic HQD, a key approach lies in integrating energy development with poverty alleviation and fully leveraging the foundational role of energy infrastructure and supply services in reducing poverty. Using the provincial panel data from 2007 to 2017, this paper analyzes the impact of energy poverty alleviation on economic HQD from multiple dimensions in an empirical way and draws the following conclusions: first, energy poverty alleviation drives the economic growth of China's eastern region and western region, but it cannot effectively promote the synchronous economic growth of the central region, thereby resulting in a greater imbalance in regional development; second, energy poverty alleviation has an effect on reducing the urban–rural income inequality, and such an effect is more significant in the western region; and finally, energy poverty alleviation has a significant effect on promoting economic HQD, and the effect is more significant in the central region and the western region. Furthermore, the transmission mechanism of energy poverty alleviation driving HQD is tested. It is found that energy poverty alleviation can drive HQD by promoting urbanization and technological progress. [ABSTRACT FROM AUTHOR]

Economic growth modeling is one of the methods a government can use to formulate appropriate economic policies to improve the prosperity of its people. Differential equations and stochastic models play a major role in studying economic growth. This article aims to conduct a literature review on the use of differential equations in relation to stochastics to model economic growth. In addition, this article also discusses the use of differential and stochastic equations in economic growth models in Indonesia. This study involves searching for and selecting articles to obtain a collection of research works relevant to the application of differential and stochastic equations to economic growth models, supported by bibliometric analysis. The results of this literature review show that there is still little research discussing economic growth models using differential equations combined with stochastic models, especially those applied in Indonesia. While the application of these models remains relatively limited, their potential to offer deeper insights into the complex dynamics of economic growth is undeniable. By further developing and refining these models, we can gain a more comprehensive understanding of the factors driving growth and the potential implications of various economic policies. This will ultimately equip policy-makers with a more powerful analytical tool for making informed decisions. [ABSTRACT FROM AUTHOR]

The difference in the results from previous studies on the impact of inflation on poverty, coupled with an increase in the money supply from direct investment, inspired this research. This study aimed to ascertain how poverty, inflation, and foreign investment affect consumption spending in Indonesia based on 1997-2021 time series data. This study used Vector Autoregression estimation, utilizing data sources from the World Bank. The data will be processed with econometric models. From the study’s findings, it may be inferred that overall consumption affects inflation, which can be seen from the Granger causality test that shows that this variable has a one-way causal relationship. The results of the same test also show that FDI has an effect on total consumption and conversely consumption has an effect on FDI. However, the poverty variable does not affect total consumption and vice versa, because according to the causality test, the variable obtains an insignificant probability value. However, the VECM results explain that poverty has an effect on total consumption, and that the effect of consumption on inflation is due to the larger t-statistic value and has a positive relationship. This implies that the rate of inflation will increase the lower the level of consumption. However, the Impulse Reason test shows that poverty has a negative trend, as does the FDI variable. [ABSTRACT FROM AUTHOR]

The environmental Kuznets curve (EKC) hypothesis posits an inverted U-shaped relationship between economic growth and environmental degradation. However, there is no consensus regarding the EKC hypothesis among countries and regions of different income groups. This study revisits the EKC hypothesis by employing cross-correlation analysis to explore the income–CO2 emissions relationship across 158 countries and 44 regions from 1990 to 2020. The empirical method utilizes a dynamic cross-correlation coefficient (CCC) approach, allowing for the assessment of lead-lag dynamics between income and CO2 emissions over time. By categorizing nations into the World Bank's income classifications, we found a heterogeneous EKC pattern highlighting distinct environmental–economic dynamics across different income groups. The findings indicate that high-income countries show a decoupling of economic growth from CO2 emissions; whereas, low-income countries still exhibit a positive correlation between both variables. This underscores the necessity for tailored policy interventions that promote carbon neutrality, while considering each country's unique development stage. Our research contributes to the ongoing issue of sustainable economic development by providing empirical evidence of the different pathways nations follow in balancing growth with environmental preservation. [ABSTRACT FROM AUTHOR]

The global environment has recently been facing sustainability threats owing to industrial and economic expansions. Accordingly, this study empirically examines the impact of carbon emissions and the directional causality between carbon emissions and environmental quality, financial development, and economic growth. We used data from 65 economies from 2010 to 2021, applying fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) approaches. Generally, the findings from the analysis revealed that the estimated coefficients of carbon emissions were negative and significant across the model, except for greenhouse gas emissions, which produced an insignificant result in developed economies. This result proves that an increase in carbon emissions and other forms of pollution are detrimental to environmental quality, economic growth, and financial development. Further results revealed that fossil fuels are positively and significantly related to the economic growth and financial development of selected countries. Empirical outcomes indicate that ineffective control of environmental pollution and carbon emissions is a major challenge to the economic growth trajectories of the selected countries, especially in emerging economies. The results from directional relationships revealed that bi-directional causality exists between CO2 and GDP; between total greenhouse gas emissions and economic growth, with no directional relationship of CO2 emissions to financial development and vice versa; and economic growth to CO2 emissions from gaseous fuel consumption and vice versa. Generally, this outcome indicates that improved environmental quality control can accelerate economic growth and financial development worldwide. This study provides insights to governments, policymakers, international organizations, researchers, and many other stakeholders. This study suggests that stricter fiscal and monetary policies, laws, and regulations, such as environmental taxes and carbon emission taxes, with strong implementation strategies, especially in emerging economies, are strongly recommended worldwide. Further recommendations suggest the development of technologically innovative policies that can counter all the impacts of devastating human activities on the environment, and these are encouraged. A greater consumption of renewable energy and the use of other innovative machines that are environmentally friendly and can help control various forms of pollution and carbon emissions have been encouraged globally. [ABSTRACT FROM AUTHOR]

This study uses the novel Fourier-augmented ARDL (FARDL) to explore the impact of renewable energy (REN), the number of patent applications (PA) and GDP per capita on CO2 emissions in Finland during 1990–2022. The findings reveal that in the long run, GDP rises CO2 emissions, while REN and PA decrease CO2 emissions. The FARDL short-run results indicate that both REN and PA have a significant negative impact on CO2 emissions, suggesting that higher adoption of renewable energy and technological innovation contribute to emission reductions. However, GDP does not show a significant effect in the short run, which may indicate a decoupling of economic growth from environmental degradation in the short term. Furthermore, the study highlights the need for policies that promote technological innovation and increased investment in renewable energy to achieve sustainable carbon reduction in the long term. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Carbon dioxide (CO2), whose atmospheric volume has been increasing, is the principal greenhouse gas (GHG) that causes global warming and climate change. Climate change from increasing greenhouse gases (GHGs) has broad health and environmental influences. Human-emitted GHGs constitute a significant cause of global warming. The main objective of this article is to assess the influence of technological innovation, economic growth, fossil energy use, renewable energy consumption, and globalisation on CO2 emissions (CO2Es) in South Africa over the observation period 1990–2020. The Dynamic Ordinary Least Squares (DOLS) estimator was implemented to examine the relationship between the constituents. The study results indicate that economic growth, fossil energy use, technological innovation, and globalisation boost CO2Es, whereas renewable energy consumption reduces CO2Es. The output of the canonical cointegrating regression and fully modified least squares estimators also supports the output of the DOLS estimator. We concluded that, in South Africa, a rise in economic growth, fossil energy use, technological innovation, and globalisation results in an upsurge in CO2Es. In contrast, an increase in renewable energy consumption leads to a reduction in CO2Es. This research work contributes to the discourse on CO2Es in the South African context. The study recommends that policymakers in South Africa should design policies that foster the formation of a low-carbon country, the consumption of renewable energy, and the implementation of environment-friendly technological innovations that reduce the use of fossil energy. Highlights: • This study assessed the impact of economic growth, technological innovation, fossil energy use, renewable energy consumption, and globalisation on CO2Es in South Africa. • The analysis revealed that economic growth, fossil energy use, technological innovation, and globalisation boost CO2Es, whereas renewable energy consumption reduces CO2Es. • There is a need to incorporate policies that promote the development of a low-carbon economy. [ABSTRACT FROM AUTHOR]

The study empirically examines the factors affecting the financing decisions of non-financial listed companies in Gulf Cooperation Council (GCC) countries. Using static and dynamic two-step generalized method of moments techniques, it analyzes unbalanced panel data from 364 non-financial companies across six GCC countries from 2011 to 2021. The findings partially support optimal capital structure theories, highlighting significant internal factors such as profitability, market-to-book ratio, firm size, earnings volatility, and growth opportunities that influence financing decisions. While no single theory fully explains the financing choices, the association of internal factors with book and market leverage is consistent. The study provides robust and generalizable results, aiding financial institutions and policymakers in formulating pro-development policies and regulations. This research facilitates better coordination between corporate managers and financial institutions, supporting the region's economic transition. It is the first study to use extensive data from GCC non-financial firms to investigate financing decisions, offering valuable insights for investors and a basis for further analysis of capital structure choices in the region and beyond. [ABSTRACT FROM AUTHOR]

The dramatic rise in non-communicable diseases around the world but notably in high-income countries like the UK is a manifestation of a global economic system—capitalism—that prioritizes wealth over health. A decade ago, the former WHO Director-General, Margaret Chan highlighted how 'efforts to prevent non-communicable diseases go against the business interests of powerful economic operators' [ United Nations. (2013) Take Action for the Sustainable Development Goals. https://www.un.org/sustainabledevelopment/sustainable-development-goals/ (last accessed 16 February 2024)]. While there is a growing literature on how politics and economics influence population health—for better or worse—less attention has been given to exploring how economic systems like capitalism influence people's psychological well-being. To fill this gap, the following article examines how the continued pursuit of economic growth under capitalism (neoliberal free-market forms especially) impacts well-being through challenging basic psychological needs for security, autonomy, competence and relatedness. In doing so, I hope to shed important light on the sources and possible solutions to our growing health and social problems, and stimulate a conversation on how to achieve a healthier future for us all. [ABSTRACT FROM AUTHOR]

The aim of this study is to examine the relationship between export diversification, economic growth and ecological footprint of D-8 (Turkiye, Indonesia, Iran, Egypt, Pakistan, Malaysia, Nigeria, Bangladesh, Indonesia, Pakistan, Malaysia, Nigeria and Bangladesh) countries for the period 1995-2022 using panel Autoregressive Distributed Lag (ARDL) analysis method. In addition, causality test with Emirmahmutoğlu and Köse (2011) panel causality test is also applied. According to the panel ARDL results, export diversification decreases the ecological footprint in both the short and long run, while economic growth increases it in the short run. According to the results of the panel Fisher Test Statistic in the Emirmahmutoğlu and Köse causality test, there is a bidirectional causality between export diversification (EXPD), economic growth (GDP) and ecological footprint (EF). Looking at the individual country results for EXPD and EF, bidirectional causality was found in Indonesia, Iran, Egypt, Malaysia, unidirectional causality from EXPD to EF in Nigeria and unidirectional causality from EF to EXPD in Turkiye. When individual country results for GDP and EF are analyzed, bidirectional causality is found in Iran, unidirectional causality from GDP to EF in Indonesia, Malaysia, Nigeria and unidirectional causality from EF to GDP in Turkiye, Egypt, Pakistan, Bangladesh. Looking at the individual country results for GDP and EXPD, unidirectional causality from GDP to EXPD was found in Turkiye, Indonesia, Iran, Malaysia, Nigeria, Bangladesh and unidirectional causality from EXPD to GDP in Egypt. As a result, if export diversification is increased in the D-8 countries, environmental damage will be reduced. [ABSTRACT FROM AUTHOR]

This paper offers a historical review of the evolution of mathematical methods in economics, tracing their development from the earliest attempts in the 18th century to the sophisticated models of the late 20th century. The study begins by examining the initial integration of mathematical techniques into economic thought, highlighting key milestones that shaped the field. Symmetry concepts are naturally embedded in many of these mathematical frameworks, particularly in the balance and equilibrium found in economic models. Symmetry in economics often reflects proportional relationships and equilibrium conditions that are central to both micro- and macroeconomic analyses. Then, the paper elaborates on the progression of economic growth models, including the foundational Solow–Swan model, which introduced the concept of technological progress (knowledge) as a key factor influencing growth. The review also encompasses the Lucas growth model and the Mankiw–Romer–Weil model, both of which incorporate human capital into the growth equation, highlighting its importance in driving economic development. Finally, the paper addresses the Nonneman–Vanhoudt model, which extends the analysis of growth by integrating multiple types of capital, providing a more comprehensive framework for understanding economic dynamics. By documenting these developments, the paper demonstrates the significant role that mathematical modeling has played in advancing economic theory, providing tools to quantitatively analyze complex economic phenomena and driving the discipline towards greater analytical precision and rigor. This analysis emphasizes how symmetry principles, such as balance between inputs and outputs, equilibrium in supply and demand, and proportionality in growth models, underpin many economic theories. [ABSTRACT FROM AUTHOR]

This study investigates how governance and infrastructure moderate the effect of natural resource rents on economic growth using a sample of 110 countries from 2000 to 2018. The empirical evidence is based on panel smooth transition regressions (PSTR). The nexus between economic growth and natural resources is not linear and the underlying non‐linearity is contingent on existing infrastructural and governance levels. Evidence of a "natural resource curse" is apparent in countries with extremely low levels of governance and infrastructural development. The favorable effect of natural resources on economic growth requires a governance threshold of −1.210 and an infrastructure threshold of 2.583, indicating that countries with governance and infrastructure levels higher than these values tend to benefit much more from the wealth of natural resources. Countries identified below the established thresholds are mainly from Africa. Policy implications are discussed with specific emphasis on African countries. Related Articles: Ali, Hamid E., and Shahjahan Bhuiyan. 2022. "Governance, Natural Resources Rent, and Infrastructure Development: Evidence from the Middle East and North Africa." Politics & Policy 50(2): 408–40. https://doi.org/10.1111/polp.12451. Asiegbu, Martin F., Okey Marcellus Ikeanyibe, Pius Otu Abang, Okwudili Chukwuma Nwosu, and Chuka Eugene Ugwu. 2024. "Natural Resource Fund Governance and the Institutionalization of Rent Seeking in Nigeria's Oil Sector." Politics & Policy 52(1): 169–95. https://doi.org/10.1111/polp.12579. Ikeanyibe, Okechukwu M. 2018. "Bureaucratic Politics and the Implementation of Liberalization Reforms in Nigeria: A Study of the Unbundling and Reorganization of the Nigerian National Petroleum Corporation." Politics & Policy 46(2): 263–94. https://doi.org/10.1111/polp.12249. [ABSTRACT FROM AUTHOR]

In emerging economies like Kuwait, tourism funds national development and sustains local livelihoods. The rapid rise of tourism in several nations may have serious environmental effects due to increased energy usage that increases carbon dioxide (CO2) emissions and worsening global warming. Due to climate change’s growing effects on the environment, several efforts have been made by numerous countries worldwide to achieve carbon neutrality and environmental sustainability. Moreover, effective energy production prediction is crucial to establish an equilibrium between traditional and clean energy sources. However, there is a research gap investigating the environmental impacts of tourism within the framework of energy-economy-environment nexus in Kuwait’s context that propelled the development of this pioneering investigation. The present study’s objective is to determine how economic growth, energy consumption, and tourism affect carbon emissions in Kuwait. This study analyzes Kuwait’s time series data from 1995 to 2019 by using the autoregressive distributed lag (ARDL) method that analyzed the components’ relationships, allowing for long-term and short-term dynamics. The results show that increasing economic growth, energy consumption, and tourist arrivals increase CO2 emissions in Kuwait. This article proposes policies to achieve carbon neutrality in Kuwait by expanding renewable energy use and promoting sustainable tourism to boost the economy. [ABSTRACT FROM AUTHOR]

We examine whether geocoded World Bank foreign aid projects affect economic activity at the level of equally sized grid cells with a spatial resolution of 0.5 decimal degrees latitude and longitude. We use geospatial data for 58,676 grid cells during the period 1997-2013 with about one million grid-by-year observations. Using fixed effects estimating techniques, we evaluate the impact of World Bank foreign aid projects on grid cell night-time light growth. The estimates reveal that World Bank foreign aid projects contribute significantly and positively to grid cell economic activity measured by night-time light growth. We complement the fast-growing literature using geocoded data to assess aid effectiveness at the subnational level. We provide evidence that the lack of robust empirical findings at the country and subnational (e.g., ADM1 and ADM2) level can be explained due to spatial aggregation and the choice of spatial units. Additional estimates and robustness tests further corroborate our main findings. [ABSTRACT FROM AUTHOR]

The pervasive issue of global warming has propelled the continued empirical efforts by policymakers and research pundits geared towards finding sustainable solutions to salvaging the ecosystem. Consequently, this study evaluates the heterogenous impacts of technological innovation, sustainable energy, and financial development on environmental sustainability captured by CO2 emissions, methane emissions, and nitrous oxide emissions in the BRICS countries from 1995 to 2020. The study employs second-generation estimators comprising quantile regression (QR), augmented mean (AMG), common correlation effect group mean (CCEMG), and cross-sectional ARDL (CS-ARDL). The main findings show that among the indicators of technological innovation, high technology exports, ICT goods exports, and ICT services exports drive sustainable environment in the long run whereas environmental-related technology promotes both in the short run and long run. The moderating impacts of sustainable energy are evident through wind energy, solar energy, and hydrogen technology. Conversely, financial development measured by broad money and domestic credits to private sector hinders environmental sustainability. More so, the covariates entailing economic growth, population growth, poverty, and trade openness escalate the stock of pollutants. The empirical regularity of the main estimators is supported by outcomes of QR across the low, middle, and upper quantiles. On the policy front, the study recommends promoting initiatives that drive technology and renewable energy to enhance the sustainability of the BRICS' environment. [ABSTRACT FROM AUTHOR]

Efforts are underway to balance economic development and ecological preservation by transforming the energy structure. This study uses the Cobb-Douglas production function to examine the relationship between energy and economic growth. Through panel data and regression models, 32 countries are analyzed in terms of global energy consumption and economic development. Countries are further grouped based on energy intensity and economic level to explore dynamic relationships. Previous studies lacked understanding of this relationship under varying conditions, while this study proposes a novel approach. Results indicate a one-way relationship between renewable energy consumption and economic growth. Further analysis reveals that countries with higher energy intensity and economic level experience a negative impact on economic growth from increased renewable energy consumption. These research findings have implications for government decision-making. [ABSTRACT FROM AUTHOR]

Climate change poses a severe risk for economic growth. The negative effects of climate change are, however, variegated depending on the region and the type of dominant industries fuelling their economies. Winter tourism in the Alps presents a case of a regionally specific and climate-vulnerable growth driver. Despite increasing climate-related physical risks to winter tourism such as snow scarcity, investments into infrastructure expansion continue. This raises the question of why a potentially unviable growth strategy is actively maintained considering the inevitable climate change scenario. Through semi-structured interviews, field work and archival research, this paper explores how the winter-touristic growth coalition responds to climate change. The findings show that key actors discursively decouple climate change from their growth strategies, which allows them to maintain the winter-touristic growth driver. 'There is no alternative' narratives and sustainability frameworks characterise the growth coalition´s response to the challenge of climate change. This paper makes an important contribution by exploring winter tourism as regional growth driver that contributes to a national export-oriented growth model. It thereby provides a unique perspective on regional underpinnings of growth models and the politics perpetuating growth model stasis under vulnerable climate conditions. [ABSTRACT FROM AUTHOR]

This study aims to investigate the direction of causality between income inequality and growth, income inequality and debt, and debt and growth for 11 selected countries in SSA countries (Botswana, Ghana, Kenya, Lesotho, Malawi, Nigeria, Rwanda, South Africa, Tanzania, Uganda, and Zambia). The panel bootstrap causality approach is applied to these countries from 1980 to 2018. Inequality is represented using Gini coefficient, Palma ratio, and Theil index. The findings show that there is at least a one-way causal relationship between public debt and inequality in Botswana, Ghana, Kenya, Malawi, Nigeria, Rwanda, South Africa, Tanzania, and Uganda, between inequality and growth in Botswana, Lesotho, Nigeria, and South Africa and between growth and debt in Botswana, Rwanda, South Africa, and Uganda. Empirical results imply that the relations between the relevant variables in the Sub-Saharan African countries may vary according to the specific characteristics of these countries. To the best of our knowledge, this is the first paper to analyse the impact of these three macroeconomic variables together. [ABSTRACT FROM AUTHOR]

Considering the potential role of education in enhancing the socioeconomic prosperity of countries, this study examines the effect of education on economic growth and household welfare in Asian countries. Static and dynamic panel data estimation techniques were employed for analysis. The findings of the study reveal a significant positive effect of education on economic growth and household welfare, with the growth effect of male education being marginally higher than female education. Interestingly, the household welfare effect of female education is revealed to be higher than male education. These findings imply that for economic growth and household welfare enhancement in the region, female education is as important as male education. Consequent to these findings, the study emphasises the need for policy measures aimed at enhancing both access and quality of education for people of all genders in the region. [ABSTRACT FROM AUTHOR]

International tourism and foreign direct investment (FDI) constitute the bedrock of economic vitality, propelling growth and progress in the economies. This study delves into the intricate relationships among international tourism, FDI, and economic growth within the context of Thailand. Nevertheless, a tourism development index is created by pooling distinct components of global tourism to evaluate the aggregate effect on economic growth. Using data from 1991 to 2021 and the ARDL bound testing approach to cointegration, this study indicates that international tourism and FDI have long-term positive impacts on Thailand's economic growth. The sensitivity and stability tests were used to assess the robustness of these results. The study's results promise to influence policy choices and shape industry approaches while enriching discussions on the economic impacts of the factors investigated. [ABSTRACT FROM AUTHOR]

This study explores the complex relationship between economic growth and environmental sustainability through a multifaceted analytical approach. Utilizing a robust dataset that includes key economic and sustainability metrics from various countries, the research employs exploratory data analysis, regression analysis, time-series analysis, and clustering techniques to unveil these relationships. The findings of the research illustrate a significant correlation between gross domestic product and carbon dioxide emissions, supporting the Environmental Kuznets Curve hypothesis, which proposes that initial economic growth worsens environmental degradation until a certain level of wealth is reached. Furthermore, the research emphasizes that while renewable energy consumption and electricity access are crucial, their current impact is insufficient to offset the environmental costs of economic growth. Through clustering analysis, the study identifies diverse national profiles, highlighting the necessity of tailored strategies to effectively address sustainability challenges. These insights emphasize the importance of integrated policies that promote both economic and environmental goals, supporting energy efficiency, cleaner technologies, and stringent environmental regulations. This comprehensive study lays the groundwork for informed policymaking aimed at achieving sustainable development. [ABSTRACT FROM AUTHOR]

Corruption and informality are issues which have attracted a great amount of empirical research, since they are variables that can affect economic development in various and complex ways, with direct and indirect effects on economic growth. In this context, the objective of this investigation is to assess the impacts of corruption and informality on economic growth and productivity in countries from Latin America and the OECD (Organisation for Economic Co-operation and Development). To achieve this, a 3SLS-GMM estimation is proposed to manage the endogeneity of the variables in the system of equations. Subsequently, a simulation analysis is conducted to quantify the impacts of increases in corruption and informality on growth and productivity, as well as the influence of human capital in counteracting these impacts. The main findings of the research are as follows: (i) corruption decreases economic growth and productivity in both groups of countries; (ii) informality negatively affects economic growth and productivity; (iii) increases in corruption and informality reduce economic growth and productivity; and (iv) human capital has a positive impact on economic growth and reduces the negative impacts of corruption and informality. [ABSTRACT FROM AUTHOR]

This paper examines the effect of information and communication technology (ICT) usage on economic growth in the Middle East and North Africa (MENA) region, with a focus on how education levels modulate this relationship. Covering data from 2000 to 2020 and employing a panel ARDL model for analysis, this research finds that, while ICT is prevalent across MENA, its impact on economic growth is negative. Furthermore, it reveals that education plays a crucial role in determining ICT's effectiveness on economic growth. However, the positive impact of education is overshadowed by the adverse effects of brain drain, which negates the potential benefits ICT could have on the economy. This study highlights the importance for MENA policymakers to address the brain drain issue to enhance the positive impact of ICT on economic growth, suggesting the need for strategies that leverage both ICT and education to effectively foster economic development. [ABSTRACT FROM AUTHOR]

Investments form the basis for high-quality economic growth by ensuring renewal of production capacities and improvement of technologies and processes, thereby increasing labor productivity. Investment research is key to understanding its impact on the country's economic advancement and more effective government policymaking to stimulate investment activity. The purpose of this paper is to study the relationship between fixed capital and R&D investments and labor productivity growth, as well as to determine the optimal level of these investments in determining the greatest effect on labor productivity growth. We use a regression model and the least squares method to empirically analyze data for seven countries for the period between 1997 and 2022. We calculate estimated values using SPSS and Python. The results show a certain impact of fixed assets and R&D investments on labor productivity growth. However, the payoff varies across the countries under study. Furthermore, despite its relatively small volumes, investment in R&D brings a greater effect on productivity growth than investment in fixed capital. With other factors remaining constant, the calculated optimums for investments in fixed assets and R&D show maximum points of growth in labor productivity. [ABSTRACT FROM AUTHOR]

This study provides a novel perspective for examining the relationship between economic growth, energy consumption, and carbon dioxide (CO2) emissions by comparing developing countries, particularly those in the South Asian region, with developed regions represented by the G-7 countries. The analysis is based on datasets spanning from 1996 to 2021. We use various analytical methodologies, including panel regression models, simultaneous regression models, and panel autoregressive distributed lag (ARDL) models to provide a comprehensive understanding of these complex relationships. The findings indicate that energy consumption strongly drives economic growth in both G-7 and South Asian countries. Furthermore, CO2 emissions are found to have a positive impact on economic growth in both regions. It is also observed that higher per capita gross domestic product (GDP) encourages greater energy consumption in both regions. Additionally, CO2 emissions positively influence energy consumption in both groups. The findings also highlight that financial development and population growth positively affect energy consumption in South Asian countries. As for CO2 emissions, the results indicate that per capita GDP positively contributes to increased pollution in both regions, coupled with the fact that higher energy consumption aligns with higher CO2 emissions. In G-7 countries, renewable electricity is linked with reduced CO2 emissions. In light of these findings, policymakers are advised to prioritize sustainable economic growth by promoting energy-efficient technologies and renewable energy sources. Furthermore, promoting the use of renewable energy sources can contribute to reducing CO2 emissions and supporting environmental preservation. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study aims to analyse how financial ratios such as the independence ratio, effectiveness ratio, efficiency ratio, fiscal decentralisation ratio, dependency ratio, and compatibility ratio affect economic growth, directly or indirectly, through capital expenditure as a mediating factor. This research used a quantitative approach; purposive sampling was conducted, and path analysis was applied to explore the relationships between variables. The results show that self-reliance, effectiveness, efficiency, fiscal decentralisation, dependency, and capital expenditure significantly affect economic growth. The independence and effectiveness ratios have a positive impact, indicating that improvements in these variables directly foster economic growth. However, the efficiency and fiscal decentralisation ratios have a negative effect, suggesting that increases in these variables may reduce economic growth. Indirectly, through capital expenditure, the independence, effectiveness, dependency, and compatibility ratios significantly affect economic growth, with the independence ratio being the most dominant. Conversely, the fiscal decentralisation and efficiency ratios did not show significant indirect effects, indicating that capital expenditure is not an effective mediator for these variables. These findings provide insights into how local financial management strategies can influence regional development, offering key policy recommendations for Banten's local government. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Land use change (LUC), including deforestation, agriculture, and urbanization, is a major contributor to climate change (CC). This change in land use has impacts on food, water, and energy systems, creating a complex interconnected web of issues. This study aimed to investigate the global link between LUC and CC from 1990 to 2012. Using time‐series data from the World Bank, LUC was represented by irrigated land, arable lands, and forest areas, while CC was represented by CO2 emissions. Moreover, the relationship between economic growth in high‐income and low‐income countries and LUC and CC was examined in this study. Based on the findings of this study, in low‐income countries, the intensity of LUC is higher in comparison with high‐income countries. Meanwhile, CO2 emissions are increasing in middle‐income and high‐income countries. Economic growth is closely related to CO2 emissions in countries with different levels of income. The study indicated that managing land use is of high importance to mitigate CO2 emissions globally. According to the findings, recent LUC has shown more obvious effects on ecological variables than CC. Although LUC is not inherently directly related to CC, humans change land use, especially in terms of land management, to adapt to CC, and these changes will inevitably bring many environmental impacts. This study contributes significantly to advancing the understanding of the complex relationship between CC and LUC, emphasizing the need for integrated approaches in policy development. These measures are crucial to achieving resilience and meeting global CC reduction targets. [ABSTRACT FROM AUTHOR]

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This article revisits the relationship between economic growth and exchange rate misalignments. We aim to test whether undervaluation's impact on growth depends on institutional quality, as suggested in the previous literature. In our analysis, we focus on recent decades characterized by globalization. We use the framework of cross-country growth regressions estimated using the recently developed two-stage instrumental variable method, which allows accounting for cross sectional dependence. In addition, we use external instruments to address the potential endogeneity between economic growth and undervaluation. Our results confirm the positive relationship between undervaluation and growth across all income groups from low-income to high-income countries. The role of institutions in the transmission of undervaluation on growth appears consistently only among lower-middle-income countries. Therefore, while our results point to the positive effects of undervaluation, the support for the hope that countries can successfully compensate for poor institutional quality via the undervaluation of currencies is weaker and limited to specific stages of economic development. [ABSTRACT FROM AUTHOR]

We study the relationship between finance and growth using a sample of 275 Chinese cities from 2009 to 2018. We exclude bank loans to local governments through the local government financing vehicles (LGFVs) and construct a better financial development index which measures the level of loans extended by banks to enterprises and households. We find that financial development in the form of a higher loan‐to‐GDP ratio leads to lower economic growth. This negative relationship between finance and growth may be attributed to various mechanisms, including discrimination in bank lending, housing market bubbles, and an imbalance in growth between real and financial sectors. [ABSTRACT FROM AUTHOR]

Although there has been a growing interest in identifying the key drivers of renewable energy over the last few decades, theoretical connections and empirical evidence on the impact of freedom of expression still need to be made. Within the framework of this gap in the literature, this study tries to solve the mystery by focusing on the impact of freedom of expression on renewable energy in 20 high-income countries from 1990 to 2022. The effects of economic growth, carbon dioxide emissions, trade openness, and foreign direct investment were also examined. The evidence-based on second-generation econometric estimators such as AMG and CCEMG are consistent. Findings show that freedom of expression indicates increased renewable energy consumption. In addition, while economic growth and foreign direct investments increase renewable energy, CO2 emissions reduce renewable energy. Trade has no significant impact. The positive link between freedom of expression and renewable energy is promising for the countries involved and presents a significant win–win opportunity. Therefore, countries need to establish democratic principles. [ABSTRACT FROM AUTHOR]

This study examines the spatial spillover effects of transportation infrastructure on regional economic growth, utilizing panel data from 31 provincial-level administrative divisions in China from 2003 to 2022. Using the spatial Durbin model (SDM) and three distinct spatial weight matrices—0–1 adjacency, spatial economic–geographical nested, and GDP-based economic distance matrices—this study comprehensively analyzes the multifaceted impacts of transportation infrastructure. The results show that transportation infrastructure significantly promotes economic growth in both local and neighboring regions across all spatial weight matrices. The total effect is most pronounced in geographically proximate regions, with a coefficient of 7.845 (p < 0.01). Regions with similar economic development levels also show strong collaborative effects, with a coefficient of 2.074 (p < 0.01), although the marginal effect of transportation infrastructure diminishes. Furthermore, adjustments in industrial structure and innovation inputs demonstrate a short-term inhibitory effect on economic growth, highlighting the need for synchronized development of transportation infrastructure alongside industrial and innovation policies. This study incorporates multi-dimensional spatial weight matrices to systematically reveal the direct and indirect impacts of transportation infrastructure on regional economies, providing essential empirical support for regional coordination and infrastructure investment policies. The findings offer valuable insights for infrastructure planning in other regions, particularly in formulating policies that promote cross-regional economic cooperation and optimize resource allocation. [ABSTRACT FROM AUTHOR]

The economy is significantly impacted by environmental, social, and governance (ESG) risks. The growth of the economy can be sped up by the effective management of ESG risks through sustainable business practices. To promote sustainable development and to secure the long-term welfare of employees, customers, and all other stakeholders in the economy, companies must adapt and reposition their business strategies and organizational cultures. The goal of this paper is to determine how a set of common ESG elements, chosen from the viewpoints of sustainability and well-being, influence economic growth in the Western Balkan countries. For each ESG component, we used different variables. The information pertains to the five Western Balkan countries of North Macedonia, Albania, Montenegro, Bosnia and Herzegovina, and Serbia. Because of a lack of data, Kosovo is excluded from the study. Then, we compared results from the analysis of the Western Balkan countries with a set of countries in Southeast Europe, which are members of the European Union and essentially coincide with the Western Europe countries. We performed multiple regression analysis with applied fixed effects to the data model. According to the study's findings, each of the independent variables had no significant impact on the GDP's annual growth of the Western Balkan countries, but two of the variables, life expectancy at birth and labor force participation, have certain impact on the GDP growth of Southeast Europe countries, which are members of the European Union. The green transition has gained significant importance in the Western Balkan countries as a crucial pathway toward sustainable economic growth, though it introduces a range of new social and economic challenges. Economically, these nations are confronted with considerable funding requirements for development. To build sustainable societies, it would be beneficial for these countries to explore more creative financing strategies. It is advised to establish financing frameworks that not only increase the transparency in policymaking but also ensure greater accountability in their execution. [ABSTRACT FROM AUTHOR]

Utilizing a dataset covering four Portuguese NUTS II regions from 2009 to 2022 and employing multiple regression analyses, this research challenges traditional tourism theories by providing empirical evidence on how various factors—average stay, overnight stays, and foreign guests—affect regional revenue in tourist accommodations. In the context of sustainable tourism development, these findings have revealed a significant negative relationship between average stay duration and revenue, indicating that longer stays may be associated with lower daily revenues. This necessitates a re-evaluation of tourist spending behavior and accommodation of pricing strategies to promote economic sustainability. This study underscores the consistently positive impact of overnight stays on revenue, reinforcing the importance of maximizing overnight stays as a strategy for sustainable economic growth within the tourism sector. Additionally, the mixed results regarding the proportion of foreign guests reveal varying regional impacts, suggesting that region-specific strategies are essential for optimizing revenue from international tourists in a sustainable manner. This research integrates these factors to offer practical insights for refining revenue strategies in tourism management, emphasizing the need for multifaceted theoretical models that account for the complexity of sustainable tourism dynamics. Future research should focus on these nuanced approaches to better understand and manage the interplay between tourism dynamics and sustainable development. [ABSTRACT FROM AUTHOR]

This study investigates the effect of financial development on inequality in Bangladesh. We run a vector autoregressive (VAR) model for the economy of Bangladesh from 1980 to 2020. Using the impulse response functions (IRFs), we find that the disposable income and market income Gini coefficients respond positively to private credit. It suggests that financial development contributes to raising inequality in Bangladesh. We also find that growth has an adverse impact on inequality whereas income inequality has a positive effect on economic growth. However, economic growth has a greater and more pronounced negative effect on inequality than inequality itself, even though these two variables exhibit opposite interaction responses. It indicates that growth lowers inequality in Bangladesh. The forecast error variance decomposition function shows that private credit can explain the variations of disposable income Gini by 8.65 percent; on the other hand, disposable income Gini can explain the variation of private credit by 8.90 percent. [ABSTRACT FROM AUTHOR]

The global economic landscape has recently undergone significant changes, marked by the rise of neo‐protectionist policies and the emergence of a new techno‐economic paradigm driven by smart automation technologies such as artificial intelligence and robots. Advanced nations have increasingly used neo‐protectionism and smart automation technologies to address their structural problems. These policies will inevitably trigger changes in global supply chains and trade networks. This could undermine the competitive advantages of catch‐up nations, and an economic growth strategy centred on foreign direct investments. While these changes in the global economy may have negative impacts on the economic progress of some catch‐up countries, they may open new windows of opportunity for others. This article examines the challenges and opportunities for catch‐up nations in an era of neo‐protectionism and smart automation technologies. [ABSTRACT FROM AUTHOR]

In the literature on financialized growth, two models are often presented as complementary but opposing: some countries drive their domestic demand through debt, while others grow on the basis of exports. In this research, we identify Sweden as a country that in the midst of the financial euphoria preceding 2008 combined these two models simultaneously. By identifying this "debt&export-led" growth model, we add richness and taxonomic complexity to the literature on financialized growth models. That said, this research contributes especially to the debate on the Swedish growth model, revealing a "hybrid" model that resulted from the interaction of two sets of factors: i) the presence of a successful exports sector, driven by a commensurate regulatory framework in a context of strong international demand; and ii) the manner in which financialization operated in Sweden, through a historic increase in private debt levels simultaneous with a partial dismantling of the welfare state. [ABSTRACT FROM AUTHOR]

Climate change mitigation is a pressing global challenge that requires reducing CO2 emissions without hindering economic growth. Using an extended Kaya identity, Logarithmic Mean Divisia Index (LMDI), and Tapio decoupling indicator, this paper investigates the spatio-temporal variations, drivers, and decoupling of CO2 emissions from economic growth in 150 countries from 1990 to 2019, considering regional disparities and income-based inequalities. The findings reveal increasing CO2 emissions between 1990 and 2019, with notable fluctuations in certain 5-year intervals. CO2 emission growth varied significantly by region, with countries like China, the USA, India, and Japan experiencing rapid increases. Economic growth emerged as the primary driver of CO2 emission growth, and its impact strengthened over time. Population growth also contributed significantly to CO2 emissions, particularly in middle- and low-income countries. The study identifies energy and carbon intensity as crucial mitigating factors that weaken CO2 emissions, offering hope for effective climate change mitigation. Furthermore, the degree of decoupling between economic growth and CO2 emissions varied among countries in the same region, with high-income countries demonstrating stronger decoupling compared to upper-middle-income countries, which accounted for 71% of global CO2 emission increase. These findings underline the imperative of accounting for income levels and regional differences in formulating CO2 emission mitigation strategies. Also, the study emphasizes the pressing necessity for cohesive global coordination to facilitate the transition toward a low-carbon economy. Such collaborative endeavors are paramount in our collective pursuit to combat climate change effectively, safeguarding the well-being and sustenance of our planet for future generations. As policymakers, it is imperative to integrate these insights into decision-making processes to chart a sustainable and resilient course forward. [ABSTRACT FROM AUTHOR]

This study investigates the intricate nexus between low‐income countries, Sustainable Development Goals (SDGs), and the multifaceted phenomenon of unemployment. Amid the global endeavour to achieve SDGs, these marginalised nations assume a pivotal role, confronting distinctive challenges and opportunities. We employ meticulous analysis and structural equation modelling techniques to unveil a complex network of relationships among diverse socio‐economic indicators and unemployment across 27 low‐income countries, encompassing nations such as Afghanistan, Zambia, and others. Our empirical findings underscore the paramount importance of economic advancement, as epitomised by GDP per capita, in fostering employment prospects. Concurrently, environmental endeavours, epitomised by CO2 emissions, underscore the potential of green employment in mitigating unemployment. Investments in education and healthcare, as indicated by primary completion rates and life expectancy, emerge as pivotal determinants of employability. Moreover, access to clean energy sources and mobile cellular subscriptions indirectly influence unemployment rates, underscoring the multifaceted nature of the issue. Furthermore, our analysis reveals the intricate interplay between economic progress and social well‐being. These insights give policymakers invaluable direction, stressing the significance of tailored strategies that harness education, healthcare, technology, and environmental initiatives to alleviate unemployment, cultivate inclusive growth, and advance the overarching aspirations of sustainable development in low‐income countries. [ABSTRACT FROM AUTHOR]

The Association of Southeast Asian Nations (ASEAN) heavily relies on fossil fuels to drive economic growth, making it one of the world's largest greenhouse gas emitters. Promoting energy efficiency has been proposed as a solution to mitigate this issue. However, the potential negative impact of energy efficiency on economic growth remains unclear. Therefore, this study aims to re‐evaluate the dynamic impact of overall energy efficiency on economic growth in ASEAN countries, considering climate change factors. Unlike prior studies, this research measures overall efficiency based on both persistent and transient components of energy efficiency. This study employs two key techniques: stochastic frontier analysis (SFA) to estimate the overall energy efficiency and panel vector autoregression (PVAR) to analyze the dynamic causal effects of determinants' shocks. The findings suggest that enhancing ASEAN's overall energy efficiency could result in an 85.9% reduction in total energy consumption, indicating high levels of inefficiency in the region. While extensive energy efficiency measures might induce a temporary economic contraction in ASEAN countries, the rate of decline seems to abate over the long term. This implies that the impact of the energy efficiency shock will be most prominent during initial growth stages, progressively waning over time. Additionally, this study confirms the presence of the Environmental Kuznets Curve (EKC) for climate change and economic growth. [ABSTRACT FROM AUTHOR]

Social fairness and economic recovery stimulation constitute crucial challenges in countries all around the world, and tourism development has enormous potential for balancing efficiency and fairness. Based on the panel data at city level in Yangtze River Delta Region, China, this study uncovered the role that tourism development plays in economic growth and urban–rural income gap by adopting the dynamic SYS‐GMM model. In addition, the moderating effect model was employed to concentrate on the moderating role of urbanization on the relationship between tourism development and economic growth as well as urban–rural income gap. The main conclusions are as follows. First, tourism development does not only promote economic growth, but it also narrows the urban–rural income gap. Second, when it comes to the dynamic effect generated by tourism development, the economic growth‐promotion effect is stronger than the urban–rural income gap‐inhibiting effect. Third, urbanization can enhance the impact of tourism development on economic growth and the reduction of urban–rural income gap. [ABSTRACT FROM AUTHOR]

Services provided by nature and ecosystem capital are unpriced and their contributions cannot be observed through factor payments. Estimates of nature's gross domestic product contribution are thus based on bottom‐up extrapolations of local ecological valuations or various sectoral dependency assumptions. These estimates are hence partial and wide‐ranging. On the other hand, omission of nature and ecosystem capital in standard growth regressions potentially biases estimated returns to other factors of production. This paper incorporates various categories of natural capital and biodiversity into growth regressions, with annual data covering more than 100 economies over more than two decades. A range of econometric specifications are used, including fixed effect panel regressions, Arellano and Bond, and Pseudo Poisson Maximum Likelihood. The estimates point to natural capital, especially the narrower and specific ecosystem capital, having a sizeable positive elasticity of around one‐third of total gross fixed capital. Ecosystem capital is thus estimated to contribute around USD6–12 trillion (or 10–20 trillion in purchasing power parity terms) annually for the global economy. This estimated contribution is significantly higher than what is implied by existing stock valuations, underscoring the importance of ecosystem capital to sustainable growth. [ABSTRACT FROM AUTHOR]

This paper highlights the significance of nurturing and safeguarding minor crops as a means of achieving regional sustainable development, preserving biodiversity, and ensuring food security. Minor crops play a critical role in addressing various environmental challenges like climate change, biodiversity loss, desertification, and soil salinity. Simultaneously, they offer local farmers economic opportunities by providing income stability and resilience. To demonstrate the potential of minor crops in promoting sustainable development, a case study from Greece is presented, focusing on three crops: blackcurrant, rice, and sunflower, which bring substantial economic and environmental benefits to the region. The study assesses the economic and environmental impact of these crops across three different rural territories in Greece. Despite covering less than 4% of total agricultural land, these crops are predominantly grown in marginal, mountainous, and insular regions. By analyzing the farm‐level and broader economic effects, the study determines their potential for agricultural and regional development. The results indicate that these crops are more profitable and environmentally friendly compared to their counterparts in all three cases. Additionally, they make significant contributions to the regional economies relative to their cultivated land area, supporting economic growth while conserving and enhancing agricultural land. In conclusion, this article emphasizes the crucial need to promote the cultivation and preservation of minor crops to support sustainable development, biodiversity conservation, and regional economic growth. Policymakers and agricultural practitioners should prioritize the cultivation and preservation of regional minor crops to safeguard biodiversity at the regional level and at the same time sustainable regional development. [ABSTRACT FROM AUTHOR]

Intelligent industrial transformation and technological innovation fuel China's sustainable development. We examine whether industrial intelligence and technological innovation improve economic growth and environmental quality using provincial data from China from 2006 to 2020. We used panel co‐integration techniques (fully modified OLS and dynamic OLS) for analysis. The results showed that industrial intelligence drives economic growth and environmental quality, whereas technological innovation primarily promotes economic growth. We also found that green technological innovation improves economic growth and environmental quality. The Granger causality technique based on the vector error‐correction model showed a strong interrelationship among industrial intelligence, technological innovation, economic growth, and environmental quality. Furthermore, a heterogeneity analysis shows that the effects and interrelationships of the variables of interest vary significantly by region in China. To achieve sustainable development, the government should accelerate the transformation of industrial intelligence, invest in environment‐friendly technological innovation activities, and focus on the co‐development of industrial intelligence, technological innovation, economic growth, and environmental quality. [ABSTRACT FROM AUTHOR]