Agricultural total factor productivity and influencing factors in Guangdong Province: Based on triple perspectives of carbon source, carbon sink and surface pollution

YANG Lin; LI Hangfei

doi:10.7671/j.issn.1001-411X.202407004

Journal of South China Agricultural University > 2024 > 45(6): 975-981. > DOI: 10.7671/j.issn.1001-411X.202407004

YANG Lin, LI Hangfei. Agricultural total factor productivity and influencing factors in Guangdong Province: Based on triple perspectives of carbon source, carbon sink and surface pollution[J]. Journal of South China Agricultural University, 2024, 45(6): 975-981. DOI: 10.7671/j.issn.1001-411X.202407004

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Agricultural total factor productivity and influencing factors in Guangdong Province: Based on triple perspectives of carbon source, carbon sink and surface pollution

YANG Lin,
LI Hangfei^,

College of Tourism and Geography, Shaoguan University, Shaoguan 512005, China

More Information

Received Date: July 01, 2024
Revised Date: July 28, 2024
Accepted Date: August 01, 2024
Available Online: September 22, 2024
Published Date: September 24, 2024

Graphical Abstract

Abstract

Abstract

Objective
Based on the triple perspectives of carbon source, carbon sink and non-point source pollution in the process of agricultural production, to measure the agricultural total factor productivity of Guangdong Province, scientifically grasp the basis of high-quality development of agriculture in Guangdong Province, and promote rural revitalization.
Method
The DEA-Malmquist model was used to effectively measure agricultural total factor productivity in Guangdong Province from 2006 to 2021 and analyze its spatio-temporal differences, meanwhile the panel regression model was used to explore the influencing factors.
Result
From 2006 to 2021, the agricultural total factor productivity of Guangdong Province was in an overall growth trend, with an average annual growth rate of 1.7%, although there were some inter-year fluctuations. The difference of agricultural total factor productivity in 21 prefecture-level cities in Guangdong Province was obvious, among which the highest was 1.070 in Zhuhai and the lowest was only 0.988 in Chaozhou. The region difference was presented in “Pearl River Delta region > Western Guangdong region > East Guangdong region > Northern Guangdong mountainous region” pattern. Technological progress was the key to the growth of agricultural total factor productivity in Guangdong Province. The urbanization level and agricultural industrial structure were the main factors affecting the agricultural total factor productivity in Guangdong Province.
Conclusion
In order to improve the agricultural total factor productivity in Guangdong Province, it is suggested to increase the investment in agricultural science and technology, strengthen the popularization and application of green agricultural science and technology, optimize the financial support mechanism, vigorously cultivate and develop efficient three-dimensional ecological agriculture, and take the road of green agricultural development.
- Agricultural total factor productivity,
- DEA-Malmquist model,
- Panel regression model,
- Guangdong Province

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References (36)

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