Investigating the Technical Efficiency and Balanced Development of Climate-Smart Agriculture in Northeast China

Climate warming poses a significant threat to China’s national food security as grain production encounters the daunting challenge of climate change. Thus, promoting the shift of agriculture toward climate-smart practices has become an inevitable choice. This study investigated climate-smart agriculture (CSA) practices using agricultural and environmental indicators that affect the technical efficiency of grain farming in Northeast China. The study employs the stochastic frontier analysis approach to estimate the efficiency of the production function and highlight the significant factors that affect efficiency. The entropy weight method was also used to analyze the climate-smart agricultural development index (CSA-DI) and climate-smart balanced development index (CSA-BDI) in Northeast China. The provincial panel data from 1980 to 2017 revealed an increasing trend for the CSA-DI and CSA-BDI. Although the region has achieved initial results in systematicity and coordination, there is still room for improvement in food security and climate change adaptation. Based on these results, this study proposes policy recommendations for CSA technologies and the promotion of comprehensive projects to endorse climate-smart agriculture for regional shared benefits and responsibilities.

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Publication Details

Journal
Land
Published
2025-03-05
DOI
https://doi.org/10.3390/land14030547
Citations
1
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
3.03
Controls
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article

Investigating the Technical Efficiency and Balanced Development of Climate-Smart Agriculture in Northeast China

Viet Ha Trinh Thi, Wenqi Zhou
1 citations
Land
Climate change impacts on agriculture
3.03
article

Investigating the Technical Efficiency and Balanced Development of Climate-Smart Agriculture in Northeast China

Viet Ha Trinh Thi, Wenqi Zhou
article en
1 citations

Abstract

Climate warming poses a significant threat to China’s national food security as grain production encounters the daunting challenge of climate change. Thus, promoting the shift of agriculture toward climate-smart practices has become an inevitable choice. This study investigated climate-smart agriculture (CSA) practices using agricultural and environmental indicators that affect the technical efficiency of grain farming in Northeast China. The study employs the stochastic frontier analysis approach to estimate the efficiency of the production function and highlight the significant factors that affect efficiency. The entropy weight method was also used to analyze the climate-smart agricultural development index (CSA-DI) and climate-smart balanced development index (CSA-BDI) in Northeast China. The provincial panel data from 1980 to 2017 revealed an increasing trend for the CSA-DI and CSA-BDI. Although the region has achieved initial results in systematicity and coordination, there is still room for improvement in food security and climate change adaptation. Based on these results, this study proposes policy recommendations for CSA technologies and the promotion of comprehensive projects to endorse climate-smart agriculture for regional shared benefits and responsibilities.

LandVol. 14(3)
Northeast Agricultural University (CN)
Openalex Percentile: Top 12%
Climate change impacts on agriculture
3.03
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