Font Size: a A A

Research On Calculating Non-agricutrual Conversion Of Agricultural Land Based On Input-output Model And District Difference

Posted on:2017-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:L Y QiFull Text:PDF
GTID:2309330485977587Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
China is experiencingthe rapid development of urbanization, and the contradiction between urban expansion and agriculturalland preservation becomes increasingly serious. The contradiction of food and development has been becoming the main problem. For protecting agricultural land resources, China has made a strict farmland protection system.Many academic scholars have proposed the use of agricultural areas to coordinate international compensation between agricultural land and construction land. However, the fading phenomenon of inter-regional agricultural compensate occurs in many areas.On the one hand, the compensation policy of current international agricultural area ignores the regional resource endowments and economic development of the heterogeneity. And on the other hand, because of the compensation mechanism is mainly based on the value of agriculture, neglected farmland conversion external role, ignoring the impact of conversion of agricultural land on the economy as a whole system, so scientific and reasonable estimates of agricultural land non-agricultural income is the premise of all.In this paper, the study area includes 30 provinces(except Tibet) of China.Firstly, we constructed Input-Output Model based on Input-Output table and land data. At the same time, according to farmland conversion revenue calculation results, we analyze the spatial pattern. And then we use Moran’I index to analyze spatial global autocorrelation,and use LISA index to analyze local spatial autocorrelation. Finally, we adopted Theil index to analyze regional differences. Research indicates based on economic criteria for the classification zone:(1)The eastern farmland conversion income was at a high level state, 3981.62 yuan / m2. The central and western regions were at a low level, the income of central region of farmland conversion was 1004.52 yuan / m2 and the income of western region farmland conversion was 1115.15 yuan / m2.(2) Using the traditional calculation method, the income of eastern farmland conversion was seriously underestimated. The multiplier effect of eastern region of non-agricultural was 6.71.The multiplier effect of central region of farmland conversion was 4.09.The multiplier effect of western region farmland conversion was 4.48.(3) Nationwide, the cultivated land conversion gain global spatial autocorrelation was significant, mainly as a positive correlation space, farmland conversion yield performance of high value and high value concentration, low and low agglomeration. According to the point of view of local spatial autocorrelation, Jiangsu Province was in the high value- high value agglomeration area and Shanxi and Yunnan was in the low- low agglomeration area. And Anhui and Fujian was at a low value- high values.(4) National Theil index was 0.3195, non-agricultural income of the difference was significant, Theil index between regions was 0.0807, Theil index in the region was 0.2388, China’s non-agricultural income differences mainly performed within the region. While Theil index of the western region was 0.3676, Theil index of the central region was 0.3636, Theil index of the eastern region was 0.1376, indicating that within the three region, the difference of eastern is small, central is Second, and western regions is the highest.
Keywords/Search Tags:Income of non-agriculture, Input-output model, Farmland, Spatial dependence, Regional inequality
PDF Full Text Request
Related items