Search Results (17)

Middle-income economies contribute significantly to global CO₂ emissions as they pursue economic development, creating an urgent need to understand emission drivers. This article investigates the impact of renewable energy use, financial development, and industrialization on CO₂ emissions in 71 middle-income countries (32 upper-middle income, 39 lower-middle income) between 2002 and 2020. We used the advanced Generalized Method of Moments Panel Vector Autoregression (GMM-PVAR) approach to address endogeneity and reveal complex relationships among the variables. Our findings revealed that renewable energy utilization had no substantial influence on emissions reduction in either upper- or lower-middle-income countries, challenging conventional policy assumptions. Financial development consistently reduces emissions across both income groups (−0.08% and −0.06%, respectively). Industrialization has heterogeneous effects, increasing emissions by 2.03 percent in upper-middle-income countries and with no effect in lower-middle-income countries. Granger causality tests illustrated a bidirectional relationship connecting CO₂ emissions and financial development, whereas no causal link was found between CO₂ emissions and renewable energy use. These findings prove the importance of coordinated policies that strengthen financial systems and sustainable industrial practices. Full article

This study examines the impact of Hofstede’s six cultural dimensions and institutional quality on financial development in the periods preceding and following the global financial crisis. The study analyzes data from 33 countries spanning 2001 to 2021 using a combination of OLS, two-stage GMM, and PVAR models and concludes that inflation and economic growth negatively, and exchange rate and institutional quality positively significantly enhance financial development. Countries characterized by low masculinity and uncertainty avoidance scores, alongside high individualism and indulgence scores, tend to exhibit greater financial development. The results also indicate that cultural factors ought to be regarded as dynamic modifiers of financial development. National culture and institutional quality have a consistent influence on financial development pre- as well as post-crisis periods. Policymakers must recognize the significance of both formal and informal institutions in fostering an environment that promotes financial development and growth. A strategic integration of diverse cultural identities and values will confer a competitive advantage to nations. The effective management of cultural diversity and openness is crucial for attracting new investment, fostering innovation, comprehending the needs and skills of the workforce, and promoting financial development. Full article

This study explores the intricate interconnections between greenwashing, environmental performance (ESG), firm-specific characteristics, board composition, firm age, size, leverage, carbon emissions (CO₂), and financial performance. By applying a combination of panel VAR/GMM estimation, robust least squares regression, and Granger causality tests, the research draws upon comprehensive data spanning from 2009 to 2022 sourced from the Chinese Research Data Services Platform (CNRDS), Bloomberg, and Refinitiv. The dataset comprises 312 listed Chinese firms, yielding a total of 5335 observations. The findings reveal that past return on equity acts as a reinforcing mechanism for both financial performance and ESG outcomes, as it positively affects subsequent returns and environmental engagement. However, its influence on firm size, board structure, and Tobin’s Q is statistically insignificant. Additionally, greenwashing demonstrates a dual character: while it reflects strong internal consistency, it also significantly shapes environmental outcomes and market perceptions. Firm size stands out as a pivotal determinant. It exhibits high persistence over time and plays a crucial role in shaping governance structures and capital allocation decisions. Moreover, board composition is positively associated with firm size. Leverage and return on assets show consistent temporal persistence and exert substantial influence on various firm attributes. Although leverage may contribute positively under favorable conditions, its overall impact on sustainability and governance practices appears limited. Higher carbon emissions are associated with increased ESG disclosures, whereas stronger ESG performance contributes to emission reduction and modestly enhances financial outcomes. Tobin’s Q also emerges as a critical factor, significantly influencing sustainability practices. This suggests that firms respond to investor expectations by improving their ESG performance. Results from the robust least squares regression underscore the dominant roles of firm size, Tobin’s Q, and leverage in driving financial performance. In contrast, ESG scores, CO₂ emissions, and greenwashing do not exhibit any statistically significant direct effects on financial performance. Granger causality tests confirm unidirectional relationships from financial performance to key structural variables such as size, leverage, firm age, and Tobin’s Q. A notable bidirectional causal link is observed between return on assets and return on equity. However, sustainability and governance-related variables show no causal impact on financial performance. Overall, the study acknowledges limitations and offers policy recommendations along with directions for future research. Full article

This study focused on the dynamic relationships among industrial development, energy consumption, economic growth, and carbon emissions in China, with the goal of achieving long-term ecological sustainability. Using the Panel Vector Autoregressive (PVAR) model and Generalized Method of Moments (GMM) estimation, panel data from 30 Chinese provinces between 2017 and 2021 were analyzed. The impulse response analysis and variance decomposition demonstrated that industrial and economic subsystems significantly influenced carbon emissions, while the energy subsystem had a moderating effect. These results highlight a shift in China’s energy consumption structure, with industrial and economic activities driving carbon emissions, while energy consumption patterns slowed the increase in emissions. These findings have critical implications for understanding the interactions among industry, economy, energy, and carbon emissions. Full article

This paper aims to clarify the intricate relationships between technological innovation, transportation industry development, and CO₂ emissions to facilitate a positive synergy among technology, the economy, and climate, advancing the fulfillment of the ‘double carbon’ goal. Utilizing panel data from 30 provinces in China from 2005 to 2020, we employ the panel vector autoregressive model using a generalized method of moments to empirically examine the dynamic interactive effects between these participants. The findings reveal that the transportation industry significantly promoted the inhibitory impact of technological innovation on CO₂ emissions. However, such reductions cannot counterbalance the rise in emissions from the transportation industry. Moreover, its effects varied significantly across regions. Specifically, transportation industry development within eastern China contributed to a shift in the local carbon emission effects from positive to negative under the positive influence of technological innovation. In the northeast, the transportation industry enhanced the inhibitory effect of technological innovation on CO₂ emissions. In contrast, across the western region, industrial development in transportation intensified the role of technological innovation in promoting CO₂ emissions. Furthermore, this work found that CO₂ emissions notably diminished the CO₂ reduction performance of technological innovation in the eastern part and enhanced this performance in the northeastern region. These findings further revealed the complex interplay between technological innovation, the transportation industry, and CO₂ emissions. They offer insights for policymakers to tailor region-specific technologies to bolster the ‘dual carbon’ goal and sustainable transportation development strategies, thereby achieving CO₂ reduction. Full article

This study used the panel data from 15 emerging markets to examine the impact of restrictive macroprudential policies on income inequality from 2000–2019 using Bayesian panel vector autoregression and Bayesian panel dynamics generalised method of moments models. The chosen models are suitable for addressing multiple entity dynamics, accommodating a wide range of variables, handling dense parameterisation, and optimising formativeness and heterogeneous individual-specific factors. The empirical analysis utilised various macroprudential policy proxies and income inequality measures. The results show that when the central banks tighten systems using macroprudential policy instruments to sticker debt-to-income and financial instruments for lower-income borrowers (the bottom 40% of the income distribution), they promote income inequality in these countries while reducing income inequality for high-income borrowers (the high 1 percent of the income distribution). The impact of loan-to-value ratios was found to be insignificant in these countries. Fiscal policy through government expenditure and economic development reduces income inequality, while money supply and oil-price shocks exacerbate it. The study suggests implementing a progressive debt-to-income (DTI) ratio system in emerging markets to address income inequality among lower-income borrowers. This would adjust DTI thresholds based on income brackets, allowing lenient credit access for lower-income borrowers while maintaining stricter limits for higher-income borrowers. This would improve financial stability and reduce income disparities. Additionally, targeted financial literacy programs and a petroleum-linked basic income program could be implemented to distribute oil revenue to lower-income households. A monetary supply stabilisation fund could also be established to maintain financial stability and prevent excessive inflation. Full article

This study aims to investigate the dynamic correlations among carbon emission reduction, total cost savings, and asset investments in the industrial sector in China. This study uses the panel vector autoregressive (PVAR) model and the generalized method of moments (GMM) model to obtain three conclusions based on Chinese industrial industry data from 2005–2019. (1) The interaction between carbon emission reduction and cost reduction is bidirectional. A carbon emission decrease can result in persistent cost cutting, while measures in shrinking costs lead to reducing carbon emissions with lasting effects. Moreover, carbon emission decline has strong inertia, while cost reduction is softer. (2) Green investment promotes reducing carbon emissions and is efficient and sustainable. Conversely, completing carbon reduction milestones will inhibit asset expansion in the subsequent period. (3) China’s industrial sector has already achieved the “synergy of emission reduction and cost decrease” development model. The transmission chain “asset investment–carbon emission decline–cost decrease–carbon emission abatement” has been established. Nonetheless, a gap remains between the mature cycle of decarbonization, cost saving, and effectiveness. Finally, it is recommended that the government focuses on the synergistic effect of carbon and cost reduction, encourages continuous green investment, and systematically organizes decarbonization actions. This study provides a basis for increasing the interest of companies in transitioning to a low-carbon economy, contributing to the simultaneous realization of green development and economic benefits. Full article

The growth of farmers’ income is one of the most critical issues in China’s “Three Rural Issues,” and optimizing fiscal policy support and improving credit supply are crucial to improving farmers’ income. Based on the panel data of 30 Chinese provinces from 2003 to 2020, this paper develops a PVAR model in order to explore the relationship between agricultural credit, fiscal support for agriculture, and farmers’ income from a dynamic perspective, considering regional heterogeneity. The empirical results show the following factors for farmers’ income growth: (1) From the GMM estimation, the positive correlation between fiscal support for agriculture is stronger than that of agricultural credit. (2) From the impulse-response function, in the eastern region, the positive shock of agricultural credit is positively correlated in the short run, but it will be negatively correlated as that of fiscal support for agriculture in the long run; in the central region, the positive shocks of agricultural credit and fiscal support for agriculture are persistently positively correlated; in the western region, the positive shocks of agricultural credit are persistently negatively correlated, while fiscal support for agriculture will be positively correlated in contrast. (3) From the variance decomposition, agricultural credit contributes more to famer’s income growth in the short run, while fiscal support for agriculture contributes more in the long run. The policy implications for promoting farmers’ income growth include implementing regionally differentiated agricultural credit development strategies, reasonably enhancing fiscal support for agriculture, and optimizing the structure of fiscal support for agriculture. Full article

This study analyses the dynamic impact of income inequality and unemployment on crime in a panel of 15 African countries during the period 1994–2019 using four models: the panel vector autoregression model, the generalized method of moments model, the fixed-effect model, and machine learning. These models were chosen due to their ability to address the dynamics of several entities. The variables employed for empirical investigation include income inequality, unemployment, and crime. Machine learning was adopted to find which socioeconomic issues contribute to crime between the two issues at hand. The results show that income inequality accounts for 64% of crime, making it the biggest contributor to crime. The findings further show that an unexpected shock in inequality and unemployment has a significant positive impact on crime in these countries. Even when pre-tax income held by the top 10% and male unemployment is adopted, the study yields similar results. Educational entertainment through secondary enrolment was found to increase crime, while it was found to decrease crime through tertiary enrolment at the tertiary level. Finally, economic development was found to decrease crime. From a policy perspective, the current study suggests to the government that some policies are more appropriate for addressing concerns about income inequality and unemployment (income policy or fiscal policy). Therefore, more policies targeting the distribution of income are crucial, as that might decrease income inequality while at the same time decreasing crime. In addition, policymakers should focus on addressing structural challenges through the implementation of sound structural reform policies that aim to attract investment consistent with job creation, human development, and growth in African economies. Full article

The tourism industry is considered a smokeless industry or green economy. Under the circumstances of carbon peaking and carbon neutrality, it is essential and urgent to explore whether the tourism industry and technological progress can promote ecological economy development. Based on the panel data of 30 provinces in mainland China from 2007–2019, this paper, for the first time, incorporates the tourism industry, technological progress, and ecological economy development into the analytical framework by constructing a PVAR model. In addition, this paper calculates the indicator weights of each variable using the entropy weighting method. This paper utilizes GMM tests, impulse response analysis, Monte Carlo simulation, and variance decomposition to empirically investigate the dynamic impact mechanism of variables interacting with each other. The conclusions are as follows. First, the tourism industry always contributes positively to ecological economy development, while technological progress can facilitate ecological economy development in the long run rather than in the short term. Second, the tourism industry also positively contributes to technological progress. Third, ecological economy development has a “crowding out effect” on the tourism industry. Fourth, the tourism industry in developed eastern regions has a more powerful impact on ecological economy development than in underdeveloped middle and western regions. Based on the empirical results, we provide practical implications: first, the assessment system of the regional economy should include ecological development indicators; second, the tourism industry should accelerate the use of clean energy and the transformation of green technological innovation. Full article

China is embarking on a new journey to build a comprehensive socialist modern state in the new era. Modernization of agriculture and forestry is the basis of agricultural modernization, but China’s traditional agriculture and forestry industry are facing a more serious crisis of independent research and innovation. As the listed agroforestry companies are directly facing the demands of the market, it becomes essential to study the technological innovation of listed agroforestry companies. Therefore, this paper investigates the relationship between R&D innovation, corporate management, supply chain management, growth capacity, debt servicing capacity, and corporate performance of listed agroforestry companies. Based on the annual panel data of agroforestry listed companies in the CSMAR database from 2010–2021, the empirical study was conducted using panel PVAR models, OLS, 2SLS, LIML, and GMM estimation. The findings show that: (1) Granger causes affecting the supply chain management of listed companies in agroforestry are corporate management, debt servicing capacity, and growth capacity. Granger causes affecting the debt servicing capacity of listed companies in the agroforestry industry are R&D innovation, growth capacity, and corporate performance. Among them, there is a causal influence relationship between debt servicing capacity and corporate performance. (2) R&D innovation, corporate management, supply chain management, growth capacity, debt servicing capacity, and corporate performance contribute the most to its own impulse response, with an average contribution of 87.4%, 81.8%, 86.9%, 96.9%, 86.5%, and 94.7%, respectively. Compared to the other variables, the impulse response contribution of debt servicing capacity to corporate performance was the largest. (3) When supply chain management and growth capability play a fully mediating role, there is a significant positive effect of R&D innovation on corporate performance. Finally, we offer some policy recommendations and suggestions to the Chinese government, as well as some suggestions on how Chinese-listed companies in the agroforestry industry can improve their corporate performance. This paper provides a Chinese case study on the corporate performance of listed companies in the global agroforestry industry. Full article

Environmental expenditures (EX) are made by the government and industries which are either long-term or short-term investments. The principal target of EX is to eliminate environmental hazards, promote sustainable natural resources, and improve environmental quality (EQ). Thus, this study looks at the impact of economic growth (EG), and government finance expenditure (GEX) on EQ in Northern Africa and Southern Africa (NASA) republics from 2000–2016. The panel quantile regression (PQR) and panel vector autoregressive (PVAR) model in a generalized method of moment framework (GMM) were employed as a framework. The PQR results show that; (i) In Northern republics, GEX had a significant positive effect on EQ at 25%, 50%, and 75% quantiles levels. (ii) In the Southern republics, GEX had a significant negative impact on EQ at 25%. Moreover, the PVAR through the GMM established that EG and GEX are significantly positive while the parameter for CO₂ is insignificant and negative in the North. However, in the South, GEX and CO₂ were statistically significant, while EG positively impacts EQ. Lastly, the granger causality report in North indicates uni-directional causation running from LNGEX → LNGDPpc, LNCO₂ → LNGDPpc, LNFF → LNGEX, and LNFDI → LNGEX. Similarly, there is uni-directional causation in South republics from LNGEX → LNGDPpc, LNCO₂ → LNGEX, and LNFDI → LNGEX. Full article

This paper investigates the presence of a causal relationship between energy poverty and income poverty in the EU Member States through a Panel Vector Autoregressive specification, and controlled with a set of explanatory variables collected from the Eurostat energy database and the OECD environment database for 2007–2018. Deepening the nexus between energy poverty and income poverty is a relevant issue for tailoring policies to tackle poverty and improve the well-being of citizens, supporting the policy makers in the allocation of planned funds provided by the Recovery plan, “Next Generation EU”. The results of the panel VAR model estimation and Dumitrescu and Hurlin test suggest that there will be no change in the long-run equilibrium when income poverty remains constant. Moreover, the reduction in energy poverty is expected to have a positive effect in terms of overall economic poverty reduction. Finally, there is evidence that substituting fossil fuels with renewables helps to reduce energy poverty and widespread poverty due to the leverage effect on economic development as well as to support the achievement of some of the 17 Sustainable Development Goals addressed by United Nations. Full article

Under China’s “Dual Carbon” strategic goal, electric energy substitution on the energy consumption side and clean substitution on the energy supply side have become an important path to achieve peak CO₂ emissions and carbon neutrality. Adjusting the energy structure and encouraging new energy to replace traditional energy is an important manifestation of China’s energy supply revolution. Therefore, China’s new energy companies have grown rapidly over the past decade. The development and growth of this industry is inseparable from government policy support. The profitability and economy are essential for the new energy industry to support its sustainable development., especially the choice of business models such as operation model and financing structures. Therefore, we build extended panel vector autoregression (PVAR) models with two-step system GMM(SYS-GMM) estimator which introduced predetermined and strictly exogenous variables to explore the dynamic correlation between financing structure and economic performance of China’s new energy public companies. The number of patent approvals and financial leverage are introduced as exogenous control variables. The results show that although the increase in costs caused by financing behavior will have a negative impact on the company’s return on equity in the short term, with the rational investment and utilization of funds, the negative impact will gradually weaken. Listed new energy companies can effectively use financing funds, and the use of different financing tools has different effects on company performance. Although debt financing can help promote the company’s profitability, it is detrimental to its future growth capacity. Full article

This paper examines the relationship between fiscal and external balances in MENA oil versus non-oil countries in the context of the twin deficits hypothesis (TDH) using Panel Vector Autoregression- Generalized Methods of Moments PVAR GMM estimation, Granger Causality and IRFs. The essence of this analysis is to assess the vulnerability of fiscal and external balances to oil price dynamics and regional geopolitics in the region. Results show that a twin-deficit problem exists in MENA oil-rich countries only while the problem does not exist in non-oil ones. This affirms the hypothesis that oil dependence results in high fiscal vulnerability to geopolitical shocks that automatically transmits to external balances. While a TDH isn’t proven to exist in non-oil countries, fiscal and external balances problems result from longstanding structural factors. A high reliance on tourism revenues and remittances as main sources of foreign currency receipts (together with poor tax administration and enlarged current spending bills) makes those countries more vulnerable to domestic and external shocks; reflected in both growing fiscal and current account deficits. A large imports sector and relatively poor exporting capacity also contribute to weakening external accounts. The main policy recommendations for MENA oil-rich countries rely in the importance of strengthening the non-oil sector in order to diversify domestic sources of revenues. Adopting flexible exchange rates is recommended to decrease the vulnerability of the external shocks to oil price dynamics. For non-oil MENA regions, fiscal consolidation, reforming current spending and strengthening tax administrations are crucial to improve fiscal performance. Export-led growth strategies and inclusive growth policies would also contribute to improving external accounts in the examined economies. Full article