A Non-Linear Exploration of the Digital Economy’s Impact on Agricultural Carbon Emission Efficiency in China DOI Creative Commons

Shiying Zhu,

Jiawen Huang, Yansong Li

и другие.

Agriculture, Год журнала: 2024, Номер 14(12), С. 2245 - 2245

Опубликована: Дек. 7, 2024

As the global climate crisis intensifies, improving agricultural carbon emission efficiency has become crucial for achieving sustainable development goals (SDGs). This study investigates complex, non-linear relationship between China’s digital economy and efficiency, utilizing panel data from Chinese provinces spanning 2012–2022. We employ a multi-method approach, including Super-SBM model measurement, two-way fixed effects models, quantile regression, Generalized Additive Models (GAMs) empirical analysis. Our findings reveal: (1) The significantly enhances but with distinct characteristics across different dimensions. (2) impact varies among aspects: foundation shows most substantial influence, followed by rural industry level, while infrastructure relatively minor effect. (3) A threshold effect is observed, economy’s more pronounced in regions higher efficiency. (4) GAM analysis unveils complex patterns: industry’s initially decreases before increasing, an overall increasing trend plateaus, exhibits near-linear relationship. (5) Sensitivity indicates that responsive to changes foundation, level. These provide nuanced insights into role enhancing sustainability. propose targeted policy recommendations, accelerating development, optimizing structure, implementing context-specific facility construction. strategies aim fully leverage potential contributing “dual carbon” development.

Язык: Английский

Unveiling the Spatial Coupling Dynamics and Coordination Mechanisms Between Digital Inclusive Finance and Rural Industrial Integration Development DOI Creative Commons
Yun Shen,

Yanxi Jing,

Y. Liu

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 499 - 499

Опубликована: Фев. 27, 2025

This study examines the coupling coordination between digital inclusive finance (DIF) and rural industrial integration development (RIID) in China from 2011 to 2021, using panel data 282 prefecture-level cities. By employing model entropy method, research analyzes spatiotemporal evolution regional disparities of DIF RIID. Key findings include following: (1) The degree RIID shows a consistent upward trend, transitioning mild imbalance primary coordination, though lags behind DIF. (2) Significant exist, with an “N-shaped” spatial distribution pattern south north, where eastern northeastern regions exhibit higher levels compared central western regions. (3) Regional differences are narrowing, driven primarily by inter-regional disparities, strong spillover effects observed “high–high” “low–low” agglomerations. (4) overall network tightness stability have improved, playing role network, while remain relatively marginal. Policy recommendations expanding applications industries, reducing through resource allocation, promoting underdeveloped areas, strengthening facilitate flow.

Язык: Английский

Процитировано

0
Financial Market Depth, Access, and Efficiency and Environment Nexus in MENA Region: Cross-Sectional Dependence Analysis DOI Open Access

Tariq Qaysi

Sustainability, Год журнала: 2025, Номер 17(5), С. 2160 - 2160

Опубликована: Март 2, 2025

Financial markets have great potential to reduce environmental issues and promote sustainability in line with the Sustainable Development Goals (SDGs). The research aims examine impact of financial market access, depth, efficiency on CO2 emissions 17 MENA countries from 1980 2021. Gross domestic product (GDP) per capita has a positive effect emissions. However, its square term does not Moreover, access (FMA) depth (FMD) contribute increased emissions, whereas (FME) mitigating findings suggest that policymakers regulators region should enhance FME further FMA FMD require policy intervention limit financing for pollution-intensive activities funding renewable projects support cleaner environment region.

Язык: Английский

Процитировано

0
A Non-Linear Exploration of the Digital Economy’s Impact on Agricultural Carbon Emission Efficiency in China DOI Creative Commons

Shiying Zhu,

Jiawen Huang, Yansong Li

и другие.

Agriculture, Год журнала: 2024, Номер 14(12), С. 2245 - 2245

Опубликована: Дек. 7, 2024

As the global climate crisis intensifies, improving agricultural carbon emission efficiency has become crucial for achieving sustainable development goals (SDGs). This study investigates complex, non-linear relationship between China’s digital economy and efficiency, utilizing panel data from Chinese provinces spanning 2012–2022. We employ a multi-method approach, including Super-SBM model measurement, two-way fixed effects models, quantile regression, Generalized Additive Models (GAMs) empirical analysis. Our findings reveal: (1) The significantly enhances but with distinct characteristics across different dimensions. (2) impact varies among aspects: foundation shows most substantial influence, followed by rural industry level, while infrastructure relatively minor effect. (3) A threshold effect is observed, economy’s more pronounced in regions higher efficiency. (4) GAM analysis unveils complex patterns: industry’s initially decreases before increasing, an overall increasing trend plateaus, exhibits near-linear relationship. (5) Sensitivity indicates that responsive to changes foundation, level. These provide nuanced insights into role enhancing sustainability. propose targeted policy recommendations, accelerating development, optimizing structure, implementing context-specific facility construction. strategies aim fully leverage potential contributing “dual carbon” development.

Язык: Английский

Процитировано

0