农业经济水平对广东农业可持续发展的影响
[毕业论文关键词]：数据包络分析；主成分分析；生产效率【4】；综合评价
Abstract
Along with economic development, but also in the overall development of agriculture in Guangdong period, you need a good grasp of the direction and mode of agricultural development. Guangdong city to understand the economic situation of the status and value added of agricultural production are related, and are generally the higher the GDP of the city, its industry was also higher; then, with data envelopment analysis 2006-2013 Guangdong Agricultural present on the development efficiency, on the whole, agricultural efficiency is improved, and at a relatively stable level, the main drawback is the low efficiency of scale, which requires authorities at the time to expand the industrial scale, to coordinate inputs for each economic variable, to avoid industrial waste, in order to increase the output of the industry and improve returns to scale; and finally, I used principal component analysis to reduce the original five economic variables to the two main components to facilitate future research at the same time, the principal component basis, we have established a comprehensive evaluation model and found that the trend is upward curve, sustainable development of agriculture has experienced difficulties in 2006-2009 period and the 2010-2013 period of development, economic investment very difficult period low unsatisfactory result was the development in recent years, is still the development of agriculture. Authorities should seize the opportunity to understand the performance of the overall output of agricultural inputs and trends to follow the development of agriculture during the development of models and methods, the development of an enabling policy measures.
[Key Words]：Data Envelopment Analysis；Principal component analysis；Production efficiency；Comprehensive Evaluation
目 录
摘 要 I
ABSTRACT II
一、 广东省各市农业总体发展状况 - 1 -
1 研究背景 - 1 -
2数据及来源 - 2 -
二、 模型的简历和求解。 - 3 -
1用数据包络分析（DEA）作分析 - 4 -
1.1数据包络分析的定义 - 4 -
1.2数据的选取 - 5 -
1.3结果分析 - 6 -
2 农业可持续发展评价模型 - 6 -
2.1主成分分析的数学模型 - 6 -
2.2数据标准化处理 - 8 -
2.3结果分析 - 8 -
三、 结论 - 10 -
参考文献 - 12 -
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