Intensive Variable and Its Application by Xinqi Zheng, Chunlu Xue, Zhiyuan Yuan (auth.)

By Xinqi Zheng, Chunlu Xue, Zhiyuan Yuan (auth.)

There are nonetheless inadequate common theories at the legislation of diminishing returns, regardless of a hundred years of improvement. beginning with extensive variables concept, and through the use of instruments of spatiotemporal correlation and extensive services, relocating directly to the built-in curve of diminishing returns and extensive idea, or even extra importantly, utilizing a mixture of static and dynamic GIS, and integrating numerical calculation and spatial optimization, this e-book not just creates a special theoretical framework and method for the overview of land use influence, but in addition addresses the long-standing loss of common theories and strategies at the legislation of diminishing returns. it's going to have far-reaching affects at the improvement of this zone and its sensible application.
The ebook covers a variety fields in geography, land technology, geographic details technology, administration technological know-how and comparable components. Novel theoretical views illustrated with many specified case experiences supply a neater method for readers to extend their study, making sure that either educational and company audiences will benefit.
Prof. Xinqi Zheng works on the China collage of Geosciences (Beijing), People’s Republic of China.

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Zhang, Xiangsun, and Binwei Gui. 2008. The analysis of total factor productivity in China: a review and application of Malmquist index approach. The Journal of Quantitative & Technical Economics 6: 111–122. 39. Zheng, Xinqi, and Meichen Fu. 2010. Landscape pattern spatial analysis technology and its application. Beijing: Science Press. 40. , Yecui Hu, Yansui Liu, et al. 2005. Spatial analysis and optimal allocation of land resources based on land suitability evaluation in shandong province. Transactions of the CSAE 21(2): 60–65.

The intensity of technological advancement is an integrated indicator that reflects technological developments within a given period. Typically, the DEA, GRA, and fuzzy models are used to evaluate the level or contribution of technologies. An indicator that has been extensively accepted in recent years is the Malmquist index (MI) developed by Malmquist in 1953. In 1982, Caves, Christensen, and Diewert used the index to estimate changes to production efficiency. In 1994, Rolf Färe et al. combined a linear, non-parameter planning method of this theory with the DEA theory, greatly expanding the application scope of the MI [7].

2. The University of Queensland. 2013. A data envelopment analysis (computer) program. php, 12 Dec 2013. Chapter 5 Intensive Evaluation of Regional Land Use Abstract On the basis of IV theory and computing tools discussed in previous chapters, this chapter studies intensive land use evaluation on region scale. A case study of Henan Province in China during 1999–2008 is operated for IV model fitting for the subordinate cities in line with the general land Gini coefficient of the city. After data collection and pre-processing, 18 subordinate areas of Henan were decided to be the evaluation units, and indicators including GDP, land area, resource condition suitability assessment, total fixed asset investment, population, and technological advance are selected for a simplified model.

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