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Prediction on the Farmland Demand of Yunnan Province in 2020 Based on Food Security AgEcon
Yang, Long-fei; Zhao, Qiao-gui; Yang, Zi-sheng.
According to the cultivated area and grain yield during 1996- 2008 and adopting the prediction method of farmland demand based on food security, five indexes, including the cultivated area, grain sown area, yearly food yield per unit area, total population and per capita grain yield, are selected to analyze and predict the farmland demand in Yunnan Province in 2020. As the prediction results of each index show, the total population of Yunnan Province in 2020 will reach 51 464 000, significantly higher than the upper bound (50 million); the per capita food demand of Yunnan Province in 2020 will be 400kg below the bottom line of the well-off type; food self-sufficient ratio will be respectively given the value of 100%, 95% and 90% in three schemes; the...
Tipo: Journal Article Palavras-chave: Food security Farmland demand Prediction Yunnan Province; China Agribusiness.
Ano: 2010 URL: http://purl.umn.edu/93651
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Study on Farmland Use Change and Driving Force in the High and Cold Areas in Northwest Yunnan-A Case Study of Ninglang Yi Autonomous County AgEcon
Luo, Li; Yang, Zi-sheng; Kang, Yun-hai.
On the basis of overview of the study area, by analyzing the dynamic change of farmland in Ninglang County, we can find that the farmland area in this county tended to decrease from 1996 to 2008. According to the investigation data concerning land change provided by Bureau of Land and Resources in Ninglang County and socio-economic data provided by Bureau of Statistics in Ninglang County, we select 11 indices, such as total population, GDP, total output value of county and so on, coupled with SPSS statistical method, we adopt principal component analysis method to analyze driving force factors of farmland use change in the high and cold areas in Northwest Yunnan. The results show that the two factors of economic development and population growth are the...
Tipo: Journal Article Palavras-chave: Changes of farmland; Driving force; Principal component analysis; Ninglang County; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/113427
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