Evaluation of green TFP in Henan Province based on SBM-GML
DOI: 10.23977/agrfem.2025.080102 | Downloads: 7 | Views: 212
Author(s)
Shen Xin 1
Affiliation(s)
1 Chongqing Normal University, Chongqing, 401331, China
Corresponding Author
Shen XinABSTRACT
First, based on panel data from 17 prefecture-level cities in Henan Province from 2009 to 2021, the SBM-GML method was used to measure the agricultural green TFP and its decomposition indicators, analyzing the distribution and regional differences of the agricultural green TFP in Henan Province. The following conclusions were drawn: (1) During the sample period, the agricultural green TFP levels among the 17 prefecture-level cities in Henan Province were not significantly different, showing a relatively even distribution. In terms of annual average growth rates, although seven prefecture-level cities had an annual average growth rate exceeding 3%, ten prefecture-level cities had an annual average growth rate of only 1%, indicating a low annual growth rate that needs further improvement. (2) Agricultural green development is uneven across regions in Henan Province, with stable growth trends observed in the southern and eastern regions, while the northern region saw its agricultural green TFP consistently below 1 from 2009 to 2019. (3) According to the index decomposition values, in terms of technical efficiency, the increases in technical efficiency were all less than 0 in the northern, eastern, and central regions of Henan. In terms of technological progress, all regions—eastern, western, and central—showed growth in technological progress, indicating that technological progress is the primary driver of green agricultural development in various regions of Henan Province. Finally, recommendations for promoting agricultural green development in Henan Province are proposed based on the results.
KEYWORDS
Agricultural Green Tfp; Technical Efficiency: Technological ProgressCITE THIS PAPER
Shen Xin, Evaluation of green TFP in Henan Province based on SBM-GML. Agricultural & Forestry Economics and Management (2025) Vol. 8: 9-15. DOI: http://dx.doi.org/10.23977/agrfem.2025.080102.
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