Policy Impacts of High-Standard Farmland Construction on Agricultural Sustainability: Total Factor Productivity-Based Analysis DOI Creative Commons
Feng Ye, Lang Wang, Amar Razzaq

и другие.

Land, Год журнала: 2023, Номер 12(2), С. 283 - 283

Опубликована: Янв. 18, 2023

High-standard farmland construction is an important initiative in China that promotes sustainable agricultural development and ensures food security through land consolidation. This study measures the growth of total factor productivity (ATFP) China, which used to characterize agriculture. Using provincial panel data from a continuous difference-in-difference (DID) model, examines impact high-standard policy on ATFP growth. Results show has increasing trend with average annual rate 3.6%. The enhancement effect 1.0%, remains significant after various robustness tests. positive becomes apparent third year implementation shows gradually trend. also finds more pronounced central regions main grain-producing regions, higher ATFP. enhances by promoting technology change technical efficiency. To promote achieve development, should continue explore suitable models for different regions.

Язык: Английский

Does green innovation induce green total factor productivity? Novel findings from Chinese city level data DOI
Xin Zhao, Joanna Nakonieczny, Fauzia Jabeen

и другие.

Technological Forecasting and Social Change, Год журнала: 2022, Номер 185, С. 122021 - 122021

Опубликована: Сен. 26, 2022

Язык: Английский

Процитировано

211

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

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 344, С. 131070 - 131070

Опубликована: Фев. 23, 2022

Язык: Английский

Процитировано

201

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

и другие.

Technological Forecasting and Social Change, Год журнала: 2022, Номер 181, С. 121742 - 121742

Опубликована: Май 19, 2022

Язык: Английский

Процитировано

192

The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China DOI
Siyu Ren, Yu Hao, Haitao Wu

и другие.

Resources Policy, Год журнала: 2022, Номер 76, С. 102587 - 102587

Опубликована: Фев. 9, 2022

Язык: Английский

Процитировано

186

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

YU Dai-song,

Linxin Liu, Shanhong Gao

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 367, С. 132789 - 132789

Опубликована: Июль 6, 2022

Язык: Английский

Процитировано

75

Does smart city pilot improve urban green economic efficiency: Accelerator or inhibitor DOI
Yufeng Chen, Sheng‐Hui Chen,

Jiafeng Miao

и другие.

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107328 - 107328

Опубликована: Окт. 20, 2023

Язык: Английский

Процитировано

62

A comparative study of green growth efficiency in Yangtze River Economic Belt and Yellow River Basin between 2010 and 2020 DOI Creative Commons
Liang Liu,

Yirui Yang,

Shu Liu

и другие.

Ecological Indicators, Год журнала: 2023, Номер 150, С. 110214 - 110214

Опубликована: Апрель 8, 2023

The Yangtze River Economic Belt and the Yellow Basin are important economic regions ecological barriers in China. Promoting development of promoting protection high-quality major regional strategies implemented by Chinese government, green growth two is for sustainable whole To investigate differences efficiency same type geographical units, this paper measures decomposition indicators from 2010 to 2020 using a three-stage DEA model Malmquist index method establishes panel Tobit identify influencing factors efficiency. results show that: ①After remove influence external environment stochastic factors, mean values Zone 0.996 1.089, respectively. change slightly higher than that Basin. ②The indexes have generally increased, with Technological Progress Index, which characterizes technological innovation, being main endogenous driver Basin, while technical index, factor mix management level, more significant Belt. ③The regression also different regions. Among them, urbanization rate has significantly positive effect on regions, effects environmental regulation research intensity not significant. External openness suppressive Belt, level financial human capital negatively affect Therefore, new era should pay attention between make appropriate policies according local conditions status

Язык: Английский

Процитировано

57

The spatial spillover effect and impact paths of agricultural industry agglomeration on agricultural non-point source pollution: A case study in Yangtze River Delta, China DOI
Hao Wang, Cong Liu, Lichun Xiong

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 401, С. 136600 - 136600

Опубликована: Март 6, 2023

Язык: Английский

Процитировано

49

Improving carbon emission efficiency in Chinese manufacturing: A study considering technological heterogeneity and noise DOI
Shuo Hu, Zheng Yuan, Ailun Wang

и другие.

Energy, Год журнала: 2024, Номер 291, С. 130392 - 130392

Опубликована: Янв. 18, 2024

Язык: Английский

Процитировано

22

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

Chaojun Zhou

и другие.

International Review of Economics & Finance, Год журнала: 2024, Номер 93, С. 98 - 111

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

22