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“Supply push” or “demand pull?”: Strategic recommendations for the responsible development of biofuel in China

handle: 2440/116669
This study investigates China׳s biofuel industry—the third largest in the world—by combining a strength, weakness, opportunity and threats (SWOT) analysis with a method known as fuzzy analytic hierarchy process (FAHP). More specifically, the study employs SWOT analysis to identify the influential factors affecting the development of the biofuel industry in China. It then prioritizes their importance using the FAHP method. The study finds that high production costs, competition with other renewable energy resources, inconsistent policy and legislation support, and poor technical standards are impeding the growth of the biofuel industry of China. The study concludes by proposing strategic recommendations for how the industry can be made both leaner, more efficient and effective, and greener, more socially and environmentally sustainable. Some of these options focuses on improving technical perform, adhering to a “supply push” mentality. Others focus on improving affordability and consumer awareness, adhering to a “demand pull” mentality.
- University of Adelaide Australia
- Chongqing University China (People's Republic of)
- University of Adelaide Australia
- Nanjing University of Information Science and Technology China (People's Republic of)
- National Institute for Environmental Studies Japan
fuzzy analytic hierarchy process, SWOT analysis; Fuzzy Analytic Hierarchy Process; China’s biofuel, factor prioritization, strategic recommendation, SWOT analysis, China׳s biofuel industry, 950
fuzzy analytic hierarchy process, SWOT analysis; Fuzzy Analytic Hierarchy Process; China’s biofuel, factor prioritization, strategic recommendation, SWOT analysis, China׳s biofuel industry, 950
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).25 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
