Spatial Distribution of Agricultural Eco-Efficiency and Agriculture High-Quality Development in China

Mingjia Chi, Qinyang Guo, Lincheng Mi, Guofeng Wang and Weiming Song
Additional contact information
Mingjia Chi: School of Economics & Management, Beijing Forestry University, Beijing 100083, China
Qinyang Guo: Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan 030012, China
Lincheng Mi: Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan 030012, China
Guofeng Wang: Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan 030012, China
Weiming Song: School of Economics & Management, Beijing Forestry University, Beijing 100083, China

Land, 2022, vol. 11, issue 5, 1-15

Abstract: Agricultural ecological efficiency is not only the key link between green development and high-quality development of agriculture, but also an important regulatory indicator for China’s rural revitalization. Based on provincial panel data of China from 2000 to 2019, using land, mechanical, labor, fertilizer, pesticide, and agricultural film as input variables and economic output and agricultural carbon emissions as output variables, the inter-provincial agricultural ecological efficiency is calculated by a super-efficient SBM model, and the traditional spatial Markov probability transfer matrices are constructed based on time series and spatial correlation analyses. By exploring the spatial and temporal dynamic evolution characteristics of agricultural ecological efficiency, it is found that the agricultural ecological efficiency of China increased steadily with fluctuations. In addition, the provincial gap has been narrowing, but the overall level is still at a low level; thus, there is still a large space for improvement in agricultural ecological efficiency. The overall trend of agricultural ecological efficiency shifting to a high level in China is significant, but its evolution has the stability to maintain the original state, and achieving leapfrog transfer is relatively hard. The geospatial pattern plays an important role in the spatial-temporal evolution of agricultural ecological efficiency, with significant spatial agglomeration characteristics. Provinces with high agricultural ecological efficiency enjoy positive spillover effects, while provinces with low agricultural ecological efficiency have negative spillover effects; thus, gradually forming a “club convergence” phenomenon of “high agglomeration, low agglomeration, high radiation, and low suppression” in the spatial pattern. In addition, support for the improvement of agricultural ecological efficiency will be provided in this study.

Keywords: agricultural ecological efficiency; spatial-temporal evolution; SBM model; spatial Markov chain (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2073-445X/11/5/722/pdf (application/pdf)
https://www.mdpi.com/2073-445X/11/5/722/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:5:p:722-:d:813168

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().