Sun, S.; Elahi, E.; Khalid, Z.; Wang, W.; Liu, X.; Zhao, P. Exploring the Factors Affecting Agricultural Carbon Emissions: An Empirical Analysis Using Spatial-Temporal Data. Preprints2023, 2023060169. https://doi.org/10.20944/preprints202306.0169.v1
APA Style
Sun, S., Elahi, E., Khalid, Z., Wang, W., Liu, X., & Zhao, P. (2023). Exploring the Factors Affecting Agricultural Carbon Emissions: An Empirical Analysis Using Spatial-Temporal Data. Preprints. https://doi.org/10.20944/preprints202306.0169.v1
Chicago/Turabian Style
Sun, S., Xinru Liu and Peng Zhao. 2023 "Exploring the Factors Affecting Agricultural Carbon Emissions: An Empirical Analysis Using Spatial-Temporal Data" Preprints. https://doi.org/10.20944/preprints202306.0169.v1
Abstract
This study evaluates the agricultural carbon emission efficiency of Shandong Province from 2011 to 2020 using the DEA-SBM model. The nexus between endogenous and exogenous variables is estimated using the Tobit model. The findings reveal an overall increasing trend in agricultural carbon emissions, with significant variations in efficiency values among different cities, leading to a severe polarization. Spatial evaluation shows a high distribution trend in the central region and low in the eastern and western regions of Shandong Province. The empirical tests conducted for Shandong Province and its three regions indicate that urbanization plays a major role in sup-porting the growth of agricultural carbon emission efficiency, while the education level of the la-bor force has a suppressive impact. Economic development and crop cultivation structure, how-ever, have no significant influence. The impact of these variables varies across the eastern, central, and western regions. The proposed countermeasures include improving planting structure and reducing brain drain in the eastern region, strengthening agricultural and rural inputs and in-creasing the added value of agricultural products in the central region, and intensifying the link-age between urbanization and industrial layout in the western region to reduce agricultural car-bon emissions efficiency in Shandong Province.
Keywords
Agricultural carbon emissions; Low-level trap; DEA-SBM model; Tobit model; China
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
