Comprehensive evaluation of benefits from environmental investment: take China as an example
Creators
- 1. Nanjing University of Aeronautics and Astronautics. College of Economics and Management (China)
Description
With the rapid development of social economy and the increasing environmental pollution in China, the government's environmental investment has been gradually increasing, and an effective evaluation system is required to study the benefits from environmental investment. Based on the literature review and current situation analysis of the benefits from environmental investment, the selection of indicators was determined after the analysis of the economic, environmental, and social benefits of environmental investment. The gray relation analysis (GRA) method was adopted to test the correlation between each indicator and environmental investment, the combination of analytic hierarchy process (AHP) and Delphi method was used to determine the relative weight of each indicator, and a fuzzy comprehensive evaluation model was established for benefits from environmental investment. The study found that benefits from environmental investment in China had been improving over years but still not satisfying, and several suggestions had been proposed according to the analysis.
Additional details
Identifiers
Publishing Information
- Journal Title
- Environmental Science and Pollution Research International
- Journal Volume
- 27
- Journal Issue
- 13
- Journal Page Range
- p. 15292-15304
- ISSN
- 0944-1344
- CODEN
- ESPLEC
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55079463
- Subject category
- S54: ENVIRONMENTAL SCIENCES; S02: PETROLEUM;
- Descriptors DEI
- AIR POLLUTION; CHINA; CORRELATIONS; ECONOMETRICS; ECONOMIC ANALYSIS; ECONOMY; ENVIRONMENTAL EFFECTS; ENVIRONMENTAL IMPACTS; ENVIRONMENTAL POLICY; ENVIRONMENTAL PROTECTION; EVALUATION; FUZZY LOGIC; INDICATORS; INVESTMENT; RESOURCE CONSERVATION
- Descriptors DEC
- ASIA; ECONOMICS; GOVERNMENT POLICIES; MATHEMATICAL LOGIC; POLLUTION
Optional Information
- Copyright
- Copyright (c) 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020