Despite the fact that China’s economy has grown swiftly since reform and opening up, problem of environmental degradation in China become increasingly significant. Therefore, this paper uses as an example to examine dynamic relationship between highlighted variables (renewable energy consumption, economic growth, oil rent, natural resources) greenhouse gas emissions (a proxy for sustainability). Using annual data over period 1971–2018 employing auto-regressive distributed lag bounds approach...

This study delves into the intricate interplay between digitization, economic uncertainty, and environmental sustainability, aiming to shed light on their multifaceted roles. Using an approach, analysis spans 28 Chinese provinces over period from 2000 2020, employing linear nonlinear autoregressive distributed lag techniques unveil symmetric asymmetric impacts. The findings reveal urgent need address challenges posed by uncertainty for effective sustainability. Notably, a negative...

This study examines the relationship between economic factors and environmental sustainability in OECD (Organisation for Economic Co-operation Development) countries from 1990 to 2022, with a particular focus on impact of renewable energy consumption technologies CO2 emissions. The research utilizes empirical data establish clear negative correlation adoption sources level emissions, highlighting effectiveness reducing activities. finding supports theoretical perspective that transitioning...

Rural tourism has been developing vigorously, and rural community functions are becoming diversified in China. Therefore, this paper takes China as an example to explore how sustainable affects development the long short run over period 1994–2020. Sustainable can be measured using two indicators: total revenue number of tourists. is by service institutions. Then, incorporating other variables autoregressive distributed lag bounds co-integration technique perform empirical analysis, we found...

This paper presents an empirical investigation into the effects of energy transition and digitization on carbon dioxide emissions, serving as a proxy for environmental sustainability, across 28 Chinese provinces from 2000 to 2021. Utilizing both static dynamic regression analyses, study reveals significant driving effect primarily through reduction in emissions. Notably, this influence is more pronounced eastern region China, followed by central western regions, indicating regional...

Unlike previous papers on international logistics and cross-border e-commerce trade, this paper sets Organization for Economic Co-operation Development (OECD) countries as an example to explore the dynamic interaction between trade. The panel data period 2000–2018 will be employed perform empirical analysis via a host of econometric techniques, such unit root tests, cointegration causality tests vector error correction model. Incorporating with other control variables, we find that there is...

With the continuous promotion of China’s new rural construction, tourism is considered to be an important driving force promote sustainable development economy. Sustainable farmers’ income a major part Therefore, this paper attempts explore effect on income. Using provincial panel data over period 2003 2020 and employing mediation model perform empirical analysis, four results are obtained: (1) positively significantly affects However, among five kinds income, coefficients in magnitude...

Korea’s economy has suffered greatly as a result of the COVID-19 pandemic. Based on such background, this paper investigates macroeconomic effects Via impulse response function analysis, results reveal that pandemic considerable short-term influence key variables, while its long-term are not significant. As consequence pandemic, total demand in Korea decreased. It is mostly reflected lower consumption and investment demand. Simultaneously, put increased pressure inflation unemployment....

Energy transformation and environmental quality are now fundamental components of China’s economic development plans, which being reorganized to ensure the dependability energy supply protect quality. Nonetheless, technical inefficiency is one most significant obstacles achieving these overall objectives. Therefore, utilizing yearly data from 2000 2021 autoregressive distributed lag model, this article examines implications information communication technology trade openness on The findings...

This research delves into the effects of carbon dioxide emissions and energy consumption on economic growth in Korea from 1980 to 2022, employing a sophisticated nonlinear autoregressive distributed lag model. The study unveils pivotal findings, most notably positive association between growth, suggesting that periods expansion have been accompanied by surges emissions. Furthermore, investigation highlights significant, albeit asymmetrical, impact primary illuminating critical role nation’s...

The original reference 162 has been retracted and its contents are no longer of value [...]

The original reference 78 has been retracted and its contents are no longer of value [...]

This article investigates the interplay between renewable energy utilization and implementation of circular economy frameworks its role in shaping environmental sustainability across 30 provinces China from 2000 to 2023. When employing panel data methodologies, including fixed effects, dynamic ordinary least squares, fully modified results reveal that both strategy play significant roles reducing CO2 emissions. Renewable has a strong negative association with emissions, highlighting...

The pervasive effects of the COVID-19 pandemic in Korea on daily lives Korean citizens, as well nation’s economic and industrial landscape, cannot be understated. In this article, we explore ramifications energy price fluctuations, changes efficiency, shifts monetary policy dynamic macroeconomic framework economy during unprecedented global crisis. Utilizing Bayesian estimation impulse response functions, study’s findings reveal that a surge prices triggered cascade detrimental effects,...

The principal aim of this study is to discern the implications technology shocks in sphere cross-border e-commerce on macroeconomic indices South Korea. Leveraging Bayesian estimation techniques, we scrutinized quarterly data from inaugural quarter 2000 through first 2022 perform an empirical exploration. Deductions drawn impulse response function indicate that a positive perturbation sustainable production instigated swell output and investment for both non-tradable goods producers....

Despite the growing awareness and interest in impact of energy poverty on depression, studies developing economies are relative limited, there is a gap knowledge such among rural individuals China. In this study, we investigate depression Chinese aged 16 above, our sample includes 13,784 from 6103 households. With data 2018 China Family Panel Studies, apply instrumental variable (IV) quantile regression approach to address potential endogeneity allow for heterogeneous effects across with...

In the extant literature, there are numerous discussions on China’s environmental sustainability. However, few scholars have considered renewable energy consumption and trade policy simultaneously to debate Therefore, this paper attempts examine how non-renewable consumption, bio-capacity, economic growth, dynamically affect ecological footprint (a proxy for sustainability). Using data from 1971 2017 employing auto-regressive distributed lag model perform an empirical analysis, results...

Renewable energy’s economic effects have been hotly debated, as it is a promising energy source. However, scholars not achieved an agreement on this hot topic. Therefore, article re-examines the direct and indirect of renewable consumption in China from 1990 to 2020. Using Granger causality test conduct empirical analysis, result suggests there bidirectional between growth. Then, mediation model used for further analysis. The results suggest that growth positively affected by consumption....

Utilizing Fourier autoregressive distributed lag and Toda–Yamamoto causality methodologies, this research assesses the effects that renewable energy consumption environmental policy had on economic sustainability of China from 1991 to 2022. Our findings highlight positive impacts use stringent policies China’s growth, while also pinpointing supportive roles played by foreign direct investment, trade openness, financial sector evolution in fostering a sustainable environment. Conversely,...

Abstract This study explores the dynamic interplay between foreign direct investment, e-commerce, and China’s export growth from 2005 to 2022 against backdrop of rapidly evolving global economy. Utilizing advanced analytical models that combine province- year-fixed effects with fully modified ordinary least squares least-squares methodologies, we delve into how investment e-commerce collectively boost capabilities. Our findings highlight a significant alignment expansion sustainable...

Abstract This research examines the influences of artificial intelligence and socioeconomic factors on religious freedom across 20 countries from 2000 to 2022. Employing a detailed model that integrates both specific effects related individual annual changes, our study offers an extensive empirical analysis how relates freedom. The results indicate notable negative impact Furthermore, sheds light key affect freedom, uncovering positive correlation with elements such as economic growth,...

Abstract Many scholars have examined the importance of money supply to macroeconomics in developed countries. However, few studies explored this proposition developing So, paper, annual series data from 2000 2016 is applied analyze relationship between (M2) and macroeconomic variables (the real GDP, inflation rate & interest rate) under vector auto regression (VAR) model China. The purpose paper verify impact these on After performing an empirical analysis, conclusions can be obtained...