How can rural digitalization improve agricultural green total factor productivity: Empirical evidence from counties in China DOI Creative Commons

Shen Lu,

Jincai Zhuang,

Zenan Sun

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35296 - e35296

Published: July 26, 2024

Against the backdrop of escalating environmental pollution and resource depletion induced by traditional agricultural industry development, imperative for efficiency ecologically friendly practices has become pivotal global sustainability. In digital era, rural digitalization substantially amplified production while notably reducing pollution. This study is based on panel data from 1602 counties in China spanning 2011 to 2020, measuring levels green total factor productivity (AGTFP) across these counties, empirically examining their dynamic correlation. The research findings reveal: (1) A significant enhancement AGTFP with elevation digitalization; every 1 % increase digitalization, increases 1.78 %. Robustness checks, including instrumental variables quasi-natural experiments, affirm validity conclusions. Furthermore, comparing regional differences China, it can be observed that impact varies different areas: eastern, central, western regions, 2.65 %, 1.53 0.82 respectively. (2) Rural fosters an stimulating entrepreneurial activity, mediation effect activity accounting 3.34 effect. (3) Utilizing a threshold model, observations indicate when surpasses first 0.3200, coefficient escalates 0.0462 0.7519. However, exceeds second 0.7118, this declines 0.2429, signifying nonlinear trend marginal AGTFP-initial followed attenuation. (4) spatial model analysis, confirms spillover effects AGTFP, indicating variations among matrices. indirect mainly influenced neighboring counties' levels, contribute more significantly than direct effects. Based conclusions, paper proposes augmenting investments implementing diversified schemes, invigorating harmonizing development as novel approaches enhance thereby fostering economic development.

Language: Английский

Green innovation and enterprise green total factor productivity at a micro level: A perspective of technical distance DOI
Jing Wu, Qiu Xia, Zhiying Li

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 344, P. 131070 - 131070

Published: Feb. 23, 2022

Language: Английский

Citations

195
Digital transition and green growth in Chinese agriculture DOI
Zhiyang Shen, Songkai Wang, Jean‐Philippe Boussemart

et al.

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 181, P. 121742 - 121742

Published: May 19, 2022

Language: Английский

Citations

182
Green Finance, Enterprise Energy Efficiency, and Green Total Factor Productivity: Evidence from China DOI Open Access

Hepei Li,

Chen Chen, Muhammad Umair

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 11065 - 11065

Published: July 14, 2023

Climate change has become a global issue that requires collective efforts, and green finance policies are an important way to address this problem promote enterprise development. This paper uses listed company data city panel investigate the utility mechanisms of influence development in different cities on Green Total Factor Productivity (GTFP) enterprises. The conclusion was can improve GTFP, which remained significant after conducting series robustness tests. mechanism analysis showed GTFP by promoting energy conservation emission reduction. heterogeneity indicated better effect non-state-owned enterprises, large-scale enterprises with weak financing constraints. enriches literature addresses impact influential factors among GTFP.

Language: Английский

Citations

96
The Impact of Digital Inclusive Finance on Agricultural Green Total Factor Productivity: Evidence From China DOI Creative Commons
Qiang Gao, Changming Cheng,

Guanglin Sun

et al.

Frontiers in Ecology and Evolution, Journal Year: 2022, Volume and Issue: 10

Published: April 28, 2022

This manuscript applies the GML model with unexpected output to measure agricultural green total factor productivity (GTFP) in 30 provinces China from 2011 2019. We explore effect and mechanism of digital inclusive finance (DIF) on productivity. Our empirical results show that during sample period, China’s has shown an increasing trend. Digital mainly promotes GTFP by improving technology level. The coverage rate, application rate digitalization all generate positive effects productivity, among which contributes most. Besides, eastern coastal areas is more significant than other areas. analysis shows can indirectly help improve through motivating innovation industrial structure optimization. research this are extremely meaningful for better implement DIF-related policies, promote development agriculture.

Language: Английский

Citations

88
The Impact of the Digital Economy on Agricultural Green Development: Evidence from China DOI Creative Commons
Qi Jiang,

Jizhi Li,

Hongyun Si

et al.

Agriculture, Journal Year: 2022, Volume and Issue: 12(8), P. 1107 - 1107

Published: July 27, 2022

Whether the digital economy can effectively promote agricultural green development is crucial to realization of rural modernization. This study empirically analyzes impact on and mechanism action based panel data 30 Chinese provinces from 2011 2020. The results reveal that (1) significantly improve level China’s agriculture; dividends in eastern region central are higher than western region, there regional heterogeneity. (2) role promoting has a nonlinear characteristic increasing “marginal effect.” (3) significant spatial spillover effect, which have positive surrounding areas. (4) construction “Broadband Countryside” indirectly development. deepens our understanding internal effect interval relationship how enables provides theoretical basis practical suggestions for optimizing facility high-quality

Language: Английский

Citations

88
Does internet infrastructure improve or reduce carbon emission performance? --A dual perspective based on local government intervention and market segmentation DOI

Jiali Kou,

Xiaoguang Xu

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 379, P. 134789 - 134789

Published: Oct. 22, 2022

Language: Английский

Citations

75
Impact of carbon trading on agricultural green total factor productivity in China DOI

YU Dai-song,

Linxin Liu, Shanhong Gao

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 367, P. 132789 - 132789

Published: July 6, 2022

Language: Английский

Citations

73
Digital Financial Inclusion, Land Transfer, and Agricultural Green Total Factor Productivity DOI Open Access
Yang Shen, Xiaoyang Guo, Xiuwu Zhang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(8), P. 6436 - 6436

Published: April 10, 2023

Improving agricultural green total factor productivity is important for achieving high-quality economic development and the SDGs. Digital inclusive finance, which combines advantages of digital technology represents a new scheme that can ease credit constraints information ambiguity in production. First, this study focused on agro-ecological functions; we incorporated carbon sequestration emissions extraction into evaluation system used mixed-direction-distance function to calculate productivity. Then, based panel data from 31 provinces China collected 2011 2021, two-way fixed effect model, interactive effect, plausibly exogenous variable method test impact financial inclusion productivity, its mechanism action. The panel-corrected standard error Driscoll–Kraay methods were account unobserved heterogeneity cross-section dependence data. results showed significantly improve This conclusion remained valid following robustness tests using spatial econometric model changing explanatory variables. by facilitating transfer land. Sound infrastructure strict policies enhance role finance promoting agriculture. These conclusions could help sector formulate flexible, accurate, reasonable, appropriate products would support agriculture, sustainable development.

Language: Английский

Citations

51
Research on the Impact of Digital Agriculture Development on Agricultural Green Total Factor Productivity DOI Creative Commons
Xinxin Zhou, Tong Chen, Bangbang Zhang

et al.

Land, Journal Year: 2023, Volume and Issue: 12(1), P. 195 - 195

Published: Jan. 7, 2023

In this study, to discover how the growth of digital agriculture has impacted agricultural green total factor productivity (AGTFP), we take panel data from 2011 2019 for 30 Chinese provinces as research object, measure AGTFP and development using SBM-ML entropy method, use a fixed effect model analyze effects on AGTFP. The results demonstrate that (1) time-series characteristics, presented steady state 2019; (2) during study period, technical efficiency index was slightly lower than technological progress in index, meaning there is room further development; (3) relationship between presents an inverted U-shaped curve, with human capital playing moderating role. Finally, corresponding countermeasures are proposed four aspects: strengthening construction organizational mechanisms, building standardized base output, enhancing traceability certification products, improving social services industry.

Language: Английский

Citations

50
Urban climate adaptability and green total-factor productivity: Evidence from double dual machine learning and differences-in-differences techniques DOI Creative Commons
Huwei Wen,

Keyu Hu,

Xuan‐Hoa Nghiem

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 350, P. 119588 - 119588

Published: Nov. 24, 2023

Climate change has increasingly become a significant challenge to sustainable socio-economic development, and climate adaptation is key issue that relevant research focuses on regional development models. By employing panel data between 2007 2020 from 284 Chinese prefecture-level cities, this study adopts quasi-experimental methods, including difference-in-differences design double dual machine learning model, the impact of adaptability green development. Empirical results confirm pilot policy building climate-resilient cities significantly improves urban total-factor productivity. Difference-in-difference models (derived entropy-weight propensity score matching) also support improving effect productivity after intervention. The digital economy strengthened policies for climate-adaptive cities. In addition, interventions build promote by optimizing industrial structures enhancing economic growth resilience. can attract highly skilled talent high-quality enterprises, facilitate science technological progress in areas, thus promoting China. This objectively evaluates effects provides insights global optimization public policies.

Language: Английский

Citations

49