[1]HUA Jiqing,YE Changsheng.Urban Land Use Efficiency and Spatiotemporal Differentiation of Guangdong Province Based on DEA[J].Research of Soil and Water Conservation,2018,25(04):283-288.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 04
Page number:
283-288
Column:
Public date:
2018-06-13
- Title:
-
Urban Land Use Efficiency and Spatiotemporal Differentiation of Guangdong Province Based on DEA
- Author(s):
-
HUA Jiqing, YE Changsheng
-
College of Earth Sciences, East China University of Technology, Nanchang 330013, China
-
- Keywords:
-
CCR model; super-efficiency DEA model; Malmquist index; urban land use efficiency; Guangdong Province
- CLC:
-
F301.24
- DOI:
-
-
- Abstract:
-
In order to reveal the state of urban land use efficiency as well as the spatial and temporal differentiation characteristics in Guangdong Province, the evaluation index system of urban land use efficiency was constructed, the CCR model, super-efficiency DEA model, Malmquist index and other methods were used to analyze urban land use efficiency in Guangdong Province from 2006 to 2015. The results showed that the average value of urban land use efficiency in Guangdong Province from 2006 to 2015 was 0.943, the efficiency was at the high level. The average of Malmquist productivity change index was 0.982, the efficiency decreased slightly; the spatial difference of urban land use efficiency in Guangdong Province was significant, the urban land use efficiencies of Foshan, Dongguan, Shenzhen, Shanwei, Meizhou, Yunfu, Yangjiang, Maoming and Jieyang was the highest, efficiencies of Zhaoqing, Guangzhou, Zhuhai, Zhanjiang, Heyuan and Chaozhou ranked the second, while the efficiencies of Jiangmen, Zhongshan, Qingyuan, Huizhou, Shaoguan and Shantou were relatively low. In general, the change of urban land use efficiency of each city in Guangdong Province from 2006 to 2015 was not significant. Through the projection results of 7 non-DEA effective cities of Guangdong Province in 2015, it was found that, on the whole, fixed assets investment in municipal district was more redundant in terms of input, while insufficient output was differed. Striving to achieve the rational allocation of urban land resources, reducing the redundant factors, and increasing urban land use output are the paths of improving urban land use efficiency.