Total Factor Evaluation and Influencing Factor Analysis about Arable Land Productivity In Kaifeng City

Yongying Huang and Liutao Liang

Asian Agricultural Research, 2016, vol. 08, issue 06, 5

Abstract: This paper uses DEA and Malmquist index to analyze the changes in arable land productivity in Kaifeng City during 2003-2012. The results show that during 2003-2011, Kaifeng's arable land productivity was inefficient in DEA-terms, indicating that the production resources were not rationally used; in 2012, Kaifeng's arable land productivity was efficient in DEA-terms, indicating that the ratio of input to output in 2012 was optimal; with the lapse of time, the Malmquist total factor productivity showed a trend of "increase-decrease-increase-decrease-increase", and the average technical efficiency was greater than 1, indicating that the agricultural production technology continues to advance. Using Tobit model, we analyze the factors that affect arable land productivity, and results show that the number of large and medium tractors and policy dummy variable have a significantly positive impact, while grain sown area has a significantly negative impact. Therefore, in order to improve arable land productivity in Kaifeng City, it is necessary to adhere to long-term stable agricultural support policy, improve the technological level of new agricultural modernization, increase investment in agricultural science and technology, and expand the sown area of cash crops.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/244369/files/3.PDF (application/pdf)

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:ags:asagre:244369

DOI: 10.22004/ag.econ.244369

Access Statistics for this article

More articles in Asian Agricultural Research from USA-China Science and Culture Media Corporation
Bibliographic data for series maintained by AgEcon Search ().