Effect Evaluation of Ecological Compensation for Strategic Mineral Resources Exploitation Based on VIKOR-AISM Model

Abstract

Energy security and ecological and environmental security are some of the most basic and important preconditions for national development, and ecological compensation is an important institutional guarantee for construction of China’s ecological civilization. The Chinese government has always made it clear that it will “step up efforts to protect the ecosystem” and establish market-based and diversified ecological compensation mechanisms. However, the existing system and mechanism design of ecological environment protection has been unable to meet the needs of economic and social development in the new era. On the basis of the psychological account theory and prospect theory, this paper constructed an evaluation system of strategic mineral resources exploitation and ecological environmental protection effects in Western China using the VIKOR-AISM model. In this paper, the VIKOR-AISM model comprehensively considers the maximization of group utility and minimization of individual regrets, and conducts a cluster analysis based on the compromise value Q and its inflection k. The comprehensive ranking changes of evaluation subjects under different decision preferences and hesitation interval measures were studied according to the antagonist hierarchy topology. The research results provide decision-making support for China to formulate ecological compensation policies in line with regional characteristics.

DEMATEL, AISM, and MICMAC-Based Research on Causative Factors of Self-Build Housing Fire Accidents in Rural Areas of China

“…Its core is establishing a set of adversarial hierarchy diagrams by adding to ISM the opposing reason priority hierarchy extraction rules [22]. Compared with the single extraction rule of ISM, AISM can more comprehensively reflect the hierarchy of factors [23]. The analysis steps of AISM are shown in Figure 4.…”

“…Figure 7a indicates that the top three causes were HUB07 (frequency 23), UC01 (18), and HUB06 (18). UA01 (15) in unsafe actions, UC01 (18) in unsafe conditions, HUB07 (23) in habitual behaviors, SMS01 (7) in the safety management system, and SC05 (17) in safety culture have the highest frequency in corresponding categories. Figure 7b shows that the number of causative factors with low frequency was higher than those with high frequency.…”

“…Cont. ,3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,18,19,20,21,22,23,24,26,27,29,30,31,32,33,34,35, 38, 39 4, 7, 11, 29, 33, 34, 36, 38, 39, 40, 41, 42, 43, 44 33, 34, 4, 38, 7, 39, 11, HUB07 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 39 4, 7, 11, 29, 33, 34, 36, 38, 39, 40, 41, 42, , 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 31, , 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 39 4, 7, 11, 29, 33, 34, 36, 38, 39, 40, 41, 42, 43, 44 33,34, 4, 38, 7, 39, 11, SMS04 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 39 4, 7, 11, 29, 33, 34, 36, 38, 39, 40, 41, 42, , 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 38, 39, 44 44 44…”