The impact of climate change and production technology heterogeneity on China's agricultural total factor productivity and production efficiency

被引:41
作者
Shah, Wasi Ul Hassan [1 ]
Lu, Yuting [1 ]
Liu, Jianhua [2 ]
Rehman, Abdul [3 ]
Yasmeen, Rizwana [4 ,5 ]
机构
[1] Zhejiang Shuren Univ, Sch Management, Hangzhou 310015, Peoples R China
[2] Zhengzhou Univ, Sch Management, Zhengzhou, Peoples R China
[3] Henan Agr Univ, Coll Econ & Management, Zhengzhou 450002, Peoples R China
[4] Panzhihua Univ, Sch Econ & Management, Panzhihua 617000, Sichuan, Peoples R China
[5] Univ Relig & Denominat, Dept Econ, Qom 3749113357, Iran
关键词
Agricultural productivity; Climate change; DEA; Technological gaps; Agriculture production efficiency; TECHNICAL EFFICIENCY; GROWTH; PROGRESS; OUTPUT;
D O I
10.1016/j.scitotenv.2023.168027
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable agricultural production efficiency is important for global food security, environmental conservation, economic development, human Health, and social equity. However, Climate change has had a significant impact on global agricultural productivity. To this end, investigating climate change's effect on agricultural production efficiency is critical for the food security of any particular country or region, and China is not distinct. Further, the influencing factor of agricultural total factor productivity (technology or technical efficiency) and regional heterogeneity in agricultural production technologies of China are worth exploring for sustainable agricultural growth. To this end, this study employed the DEA-Malmquist Productivity Index to gauge the total factor productivity change (TFPC) in 31 provinces and administrative units of China from 2000 to 2021. Additional inputs of climate factors were added to the estimation process to explore the impact of climate change on TFPC for different periods and regions. The meta-frontier analysis estimates the agriculture production technology gap among nine regions of China. Results revealed that climate factors could overestimate China's average total factor agricultural productivity over the study period. Among 8 out of 9 regions in China witnessed the diverse effects of climate factors; however, it positively impacted agricultural TFPC in the Qinghai Tibet Plateau. Sichuan Basin and surrounding regions performed best, ranked top in China with an average growth rate of 22.3 % in TFPC. Decomposing the TFPC into efficiency and technological change, the study found that the influence of climate on technological change is greater than compared to efficiency change. Northeast China Plain and Sichuan Basin and surrounding regions have superior agriculture production technology with a TGR score 1. Mann-Whitney U and Kruskal-Wallis test proved the statistically significant difference among agricultural productivity scores estimated with and without climate factors and production technology gaps among nine regions of China.
引用
收藏
页数:17
相关论文
共 102 条
[1]   Does cooperative membership impact the yield and efficiency of smallholder farmers? Evidence from potato farmers in Mongolia [J].
Ahado, Samuel ;
Hejkrlik, Jiri ;
Enkhtur, Anudari ;
Tseren, Tserendavaa ;
Ratinger, Tomas .
CHINA AGRICULTURAL ECONOMIC REVIEW, 2021, 13 (04) :736-755
[2]   Causal Linkage among Agricultural Insurance, Air Pollution, and Agricultural Green Total Factor Productivity in United States: Pairwise Granger Causality Approach [J].
Ahmed, Nihal ;
Hamid, Zeeshan ;
Mahboob, Farhan ;
Rehman, Khalil Ur ;
Ali, Muhammad Sibt e ;
Senkus, Piotr ;
Wysokinska-Senkus, Aneta ;
Sieminski, Pawel ;
Skrzypek, Adam .
AGRICULTURE-BASEL, 2022, 12 (09)
[3]   The effect of agricultural total factor productivity on environmental degradation in sub-Saharan Africa [J].
Alhassan, Hamdiyah .
SCIENTIFIC AFRICAN, 2021, 12
[4]   The impact of agriculture trade and exchange rate on economic growth of Pakistan: an NARDL and asymmetric analysis approach [J].
Ali, Imad ;
Khan, Imran ;
Ali, Hashmat ;
Baz, Khan ;
Zhang, Qiangqiang ;
Khan, Ajab ;
Huo, Xuexi .
CIENCIA RURAL, 2020, 50 (04)
[5]   Climate variability and agricultural production efficiency: evidence from Ethiopian farmers [J].
Auci S. ;
Coromaldi M. .
International Journal of Environmental Studies, 2021, 78 (01) :57-76
[6]   RETRACTED: Impact of climate change on agricultural productivity: a combination of spatial Durbin model and entropy approaches (Retracted article. See DEC, 2024) [J].
Bai, Dongbei ;
Ye, Lei ;
Yang, ZhengYuan ;
Wang, Gang .
INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT, 2024, 16 (04) :26-48
[7]   Steering restoration of coal mining degraded ecosystem to achieve sustainable development goal-13 (climate action): United Nations decade of ecosystem restoration (2021-2030) [J].
Bandyopadhyay, Sneha ;
Maiti, Subodh Kumar .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (59) :88383-88409
[8]   The Evolution and Influencing Factors of Total Factor Productivity of Grain Production Environment: Evidence from Poyang Lake Basin, China [J].
Bao, Bingfei ;
Jiang, Anli ;
Jin, Shengtian ;
Zhang, Rui .
LAND, 2021, 10 (06)
[9]   Heterogeneous technology, scale of land use and technical efficiency: The case of Hungarian crop farms [J].
Barath, Lajos ;
Ferto, Imre .
LAND USE POLICY, 2015, 42 :141-150
[10]   A nonparametric analysis of climate change nexus on agricultural productivity in Africa: implications on food security [J].
Bernard Jr, Boima M. ;
Song, Yanping ;
Narcisse, Mulinga ;
Hena, Sehresh ;
Wang, Xin .
RENEWABLE AGRICULTURE AND FOOD SYSTEMS, 2023, 38