City agglomeration economy environment efficiency assessment method

A technology of economic efficiency and urban agglomeration, applied in the field of data processing, can solve the problems of regional development endoplasmic inhomogeneity and so on

Inactive Publication Date: 2017-04-19
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

[0005] The present invention provides a method for assessing the economic and environmental efficiency of urban agglomerations to at least solve the problem that the inter-provincial (regional) scale is use...

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  • City agglomeration economy environment efficiency assessment method
  • City agglomeration economy environment efficiency assessment method
  • City agglomeration economy environment efficiency assessment method

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Embodiment Construction

[0015] Hereinafter, the present invention will be described in detail with reference to the drawings and examples.

[0016] In this embodiment, the four major urban agglomerations in eastern China, namely, the Beijing-Tianjin-Hebei urban agglomeration, the Shandong Peninsula urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration will be taken as examples to describe and summarize the technical solutions of the embodiments of the present invention. illustrate.

[0017] 1. Modeling and data sources

[0018] DEA Model for Measuring Economic and Environmental Efficiency of Urban Agglomeration

[0019] The DEA model in this embodiment includes: a constant returns to scale (CRS) model and a variable returns to scale (VRS) model for measuring the economic and environmental efficiency of urban agglomerations.

[0020] Assume that the economic efficiency of N urban agglomerations needs to be evaluated, and the evaluation index ...

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Abstract

The invention provides a city agglomeration economy environment efficiency assessment method comprising the following steps: using a DEA model to measure the city agglomeration economy environment efficiency; using a DEA-SBM model considering unexpected output to parse the city agglomeration economy environment efficiency differences by taking environment pollutant as unexpected output restrictions; further using a TOPSIS model supported by entropy technology to parse the superposition relationship between resource investment, economic benefit, alleviation influence and ecology efficiency; finally using degree of relaxation analysis to obtain the city agglomeration economy environment efficiency difference reasons, and proposing corresponding countermeasures. An existing method mostly uses inter-provincial (zone) as a research object, yet the region development endoplasmic inhomogeneities problems cannot be clearly displayed by using the scaled data as indexes; the city agglomeration economy environment efficiency assessment method can solve said problems, and is suitable for city agglomeration economy environment efficiency assessment.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for evaluating the economic and environmental efficiency of urban agglomerations. Background technique [0002] Eco-efficiency (that is, economic and environmental efficiency) was proposed by Schaltegger and Burritt in 1990. After more than 20 years of development, the evaluation of eco-efficiency has become an important tool for analyzing urban sustainable development. Eco-efficiency (eco-efficiency) is synthesized from the English words ecology (ecology), economy (economics) and efficiency (efficiency, effectiveness), which means that eco-efficiency not only refers to ecological efficiency but also takes into account economic efficiency. Since then, relevant large-scale international organizations have defined the concept of eco-efficiency from different perspectives: From the basic point of meeting the needs of human development, WBCSD defines eco-efficiency as meeting ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/0639G06Q50/26
Inventor 方创琳任宇飞
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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