Quantity Calculation of the Land Unsuitable for Farming: A Case Study of Anze County in Shanxi Province
Kangkang Chang,
Longyi Xue and
Tao Xue
Asian Agricultural Research, 2016, vol. 08, issue 05, 4
Abstract:
Adhering to the "red line" of 1800 million mu of arable land is China's arable land protection guideline and policy, and the "red line" places emphasis on both quantity and quality of arable land. Taking Shanxi's Anze County as an example, based on ecological safety and natural suitability criteria, we select 10 evaluation indicators to evaluate the farming suitability of existing land in the county. Results show that Anze County needs to reuse 48.7% of the existing arable land for ecological purpose in order to ensure ecological safety. It still retains 51.3% of existing arable land after abandoning tillage, which can ensure 0.15 ha of arable land per capita, 743.12 kg of grain per capita and 170% of food self-sufficiency rate, thereby fully ensuring food safety. The farming suitability evaluation of land resources should not only consider the natural suitability of land, but also consider ecological safety. Faced with the new situation of arable land protection, it is necessary to explore new farmland protection theories and indicator systems based on actual conditions, to meet the requirements of sustainable development of population, resources and ecology.
Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/243168/files/17.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:243168
DOI: 10.22004/ag.econ.243168
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 ().