Evaluation and improvement of agricultural green total factor energy efficiency: the perspective of the closest target DOI

Jiarong Zhang,

Meijuan Li,

Zijie Shen

et al.

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 102179 - 102179

Published: Feb. 1, 2025

Language: Английский

The United States and China on the paths and policies to carbon neutrality DOI
Zhen Wu, Xianjin Huang, Ruishan Chen

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 320, P. 115785 - 115785

Published: Aug. 16, 2022

Language: Английский

Citations

124

Carbon reduction effect of agricultural green production technology: A new evidence from China DOI

Zhangdong Guo,

Xiaoning Zhang

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 874, P. 162483 - 162483

Published: Feb. 27, 2023

Language: Английский

Citations

87

The impact of entrepreneurship of farmers on agriculture and rural economic growth: Innovation-driven perspective DOI Creative Commons
Yuxi Pan,

Siqian Zhang,

Meng-Yue Zhang

et al.

Innovation and Green Development, Journal Year: 2023, Volume and Issue: 3(1), P. 100093 - 100093

Published: Sept. 6, 2023

This research delves into the underlying impacts of farmers' innovative entrepreneurship on agricultural and rural economic development in China, adopting a dynamic spatio-temporal perspective. The study utilizes panel data encompassing 30 provinces (cities autonomous regions) from 2015 to 2020, with systematic consideration diversified spatial weight matrices. empirical findings reveal that distribution demonstrates characteristic low-low agglomeration, accompanied by evident positive spillover effects radiation-driving effects, especially regions similar urbanization levels. Additionally, identifies heterogeneous across different grain production patterns household income Ultimately, underscores significance deeply integrating innovation provides evidence support necessity differentiated specialized incentive measures for amid context new normal.

Language: Английский

Citations

51

Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China DOI
Jinkai Li, Ming Gao, Erga Luo

et al.

Energy Economics, Journal Year: 2023, Volume and Issue: 119, P. 106576 - 106576

Published: Feb. 14, 2023

Language: Английский

Citations

50

Marine fishery carbon emission reduction and changing factors behind marine fishery eco-efficiency growth in China DOI Creative Commons
Xiaolong Chen,

Zhimo Sun,

Qianbin Di

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102478 - 102478

Published: Jan. 14, 2024

The accurate assessment of marine fisheries' carbon emissions (MFCE) and the identification spatial temporal variation in fisheries eco-efficiency (MFEE) its drivers under emission reduction constraint can facilitate high-quality development achievement 'carbon neutrality' goal. Current assessments MFEE exclude focus on single-factor methodologies, which limit their utility guiding strategies. In this study, using provincial data from 2008 to 2021, we constructed a model undesired output efficiency through directional distance function determine potential each province. global Malmquist–Luenberger (GML) was also used explore trends MFCE China influencing growth. Different mechanisms underlying growth three major economic zones were investigated. results show that (1) is declining, with sources showing decline sinks rapid year 2015 an important turning point for fisheries. (2) level differed among Chinese coastal provinces cities during study period, circles belonged different types potential. Under constraint, values showed fluctuating upward trend significant differences rates power sources, while pure technical drove optimal eco-efficiency. (3) economy, resource use, industrial structure, environmental regulation, science technology improve MFEE, whereas degree openness outside world negatively impacts MFEE; positive.

Language: Английский

Citations

19

Does internet use promote agricultural green development?Evidence from China DOI
Jierong Wang, Gang Yang,

Chaojun Zhou

et al.

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 93, P. 98 - 111

Published: March 11, 2024

Language: Английский

Citations

18

Synergistic emission reduction effect of pollution and carbon in China's agricultural sector: Regional differences, dominant factors, and their spatial-temporal heterogeneity DOI
Mengyang Hou,

Xuehua Cui,

Yalin Xie

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107543 - 107543

Published: May 1, 2024

Language: Английский

Citations

18

Moving towards sustainable development in China's rural counties: Ecological efficiency evaluation based on DEA-Malmquist-Tobit model DOI
Yaqin Jiang, Xincong Liu, Liping Yang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 442, P. 141093 - 141093

Published: Feb. 1, 2024

Language: Английский

Citations

16

Social networks and farmers' low-carbon rice farming intention and behavioral discrepancies under the social embedding perspective DOI
Fuhua Yan, Chen Mei-qiu, Chen Mei-qiu

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144814 - 144814

Published: Jan. 1, 2025

Language: Английский

Citations

3

What Affects Agricultural Green Total Factor Productivity in China? A Configurational Perspective Based on Dynamic Fuzzy-Set Qualitative Comparative Analysis DOI Creative Commons
Danni Lu, Xinhuan Zhang, Degang Yang

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 136 - 136

Published: Jan. 9, 2025

Agricultural production faces the dual challenge of increasing output while ensuring efficient resource utilization and environmental sustainability amid escalating global climate change relentless increases in human demand. This study used provincial panel data from China 2001 to 2022 address these challenges. It systematically evaluated dynamic evolution agricultural green total factor productivity (AGTFP) by selecting “resources” “energy” as core input factors adopting a dual-output approach focused on “economic” “low-carbon” outcomes. thoroughly analyzed synergistic mechanisms such natural endowment, technology, economic development, regulation, exploring their impact AGTFP enhancement through innovative application fuzzy-set qualitative comparative analysis (fsQCA) method. There was significant upward trend across China, indicating notable progress development. Additionally, three pathways promoting improvement were identified: resource–economy-driven, technology–policy-guided, multifactor-synergy. Simultaneously, two modes constraining uncovered: economy–policy suppression capital–economy suppression, highlighting pivotal role regional development conditionality converting advantages. Moreover, contributions exhibited temporal dynamics. Major events, 2008 financial crisis policy shifts, including 2012 “Ecological Civilization” strategy, significantly altered effectiveness existing configurations. Our heterogeneity revealed distinct geographical patterns, with resource–economy-driven model predominantly observed central regions technology–policy-guided multi-factor-synergy models more prevalent eastern regions. These findings highlight importance formulating differentiated policies tailored specific needs stages different Specifically, enhancing synergy between management optimizing technology–policy integration, coordinated multisectoral are critical fostering sustainable practices. research provides crucial empirical evidence for shaping targeted that can drive diverse contexts.

Language: Английский

Citations

2