Literature DB >> 35290580

Does agricultural mechanization improve agricultural environment efficiency? Evidence from China's planting industry.

Yingyu Zhu1, Yan Zhang2,3, Huilan Piao1.   

Abstract

Environmental problems caused by energy consumption in the rapid popularization of China's agricultural mechanization (AM) have caused increasing concern. Using the panel data of China's 30 provinces from 2001 to 2019, this article adopts a stochastic frontier analysis method with output-oriented distance function to measure agricultural environment efficiency (AEE) based on net carbon sinks and empirically analyzes the impact of AM on AEE. The main findings are as follows: Firstly, the AEE of the nation and all provinces shows an upward trend over time and has significant spatial positive autocorrelation characteristics. Secondly, there is an inverted U-shaped relationship between AM and AEE. Meanwhile, AM has spatial spillover effect and time cumulative effect on AEE. These basic conclusions are still robust after using instrumental variables, spatial autoregressive model, sub-sample regression, changing spatial weight matrix, and independent variable. Thirdly, the effect of AM on AEE depends on the input effect and output effect caused by AM. The mechanism is mainly reflected in agricultural technology progress, expansion of the scale of farming operation, optimization of resource allocation, and spatial spillover. Given these findings, the paper adds considerable value to the empirical literature and provides various policy and practical implications.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Agricultural environment efficiency; Agricultural mechanization; Net carbon sinks; Output-oriented distance function; Spatial spillover effect; Stochastic frontier analysis; Temporal cumulative effect

Mesh:

Year:  2022        PMID: 35290580     DOI: 10.1007/s11356-022-19642-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   5.190


  3 in total

1.  Does Digital Inclusive Finance Effectively Promote Agricultural Green Development?-A Case Study of China.

Authors:  Hua Guo; Fan Gu; Yanling Peng; Xin Deng; Lili Guo
Journal:  Int J Environ Res Public Health       Date:  2022-06-07       Impact factor: 4.614

2.  Can Agricultural Productive Services Promote Agricultural Environmental Efficiency in China?

Authors:  Yingyu Zhu; Junmiao Deng; Menghan Wang; Yuanchang Tan; Wei Yao; Yan Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-07-30       Impact factor: 4.614

3.  Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China.

Authors:  Haisheng Chen; Dingqing Ni; Shuiping Zhu; Ying Ying; Manhong Shen
Journal:  Int J Environ Res Public Health       Date:  2022-08-11       Impact factor: 4.614

  3 in total

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