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I-Shin Chang

Researcher at Inner Mongolia University

Publications -  14
Citations -  193

I-Shin Chang is an academic researcher from Inner Mongolia University. The author has contributed to research in topics: Computer science & China. The author has an hindex of 4, co-authored 4 publications receiving 116 citations.

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Comprehensive utilizations of biogas in Inner Mongolia, China

TL;DR: In this article, the authors investigated the potential of biogas power generation and comprehensive utilizations on large-scale farms in Inner Mongolia Autonomous Region (IMAR), China and the experience on bioenergy development from developed countries.
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Study on the practice of public participation in environmental impact assessment by environmental non-governmental organizations in China

TL;DR: Wang et al. as discussed by the authors analyzed the political reasons of environmental non-governmental organizations' reluctance to participate in environmental impact assessment (EIA) in China, through political opportunity structure (POS), an analytical framework usually applied to scrutinize the initiation and development of social movements.
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A time-geographical approach to biogas potential analysis of China

TL;DR: Wang et al. as mentioned in this paper evaluated the biogas potential of crop straw and livestock manure through time-series analysis and geographical approach to learn the geographical characteristics and regional differences of different crops and animals in various regions.
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The spatio-temporal approach to regional analysis on cleaner production in China

TL;DR: Wang et al. as discussed by the authors analyzed the progress, problems and prospects of Cleaner production (CP) development in China through literature review and statistical analysis, and proposed some suggestions to promote the regionalized CP management system for future CP development.
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A novel dynamic business model to quantify the effects of policy intervention on solid waste resourcelization industry: A case study on phosphogypsum resourcelization in Yichang, China

TL;DR: In this paper , a dynamic business model (DBM) is constructed to thoroughly diagnose the causal connections among the blocks of business model canvas, and systematically and numerically value the output of comprehensive performance, which is especially suitable for evaluating the impacts of policy intervention on industry development.