2017
DOI: 10.1016/j.wasman.2017.06.009
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The policy effects of feed-in tariff and renewable portfolio standard: A case study of China’s waste incineration power industry

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Cited by 36 publications
(6 citation statements)
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References 30 publications
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“…Secondly, improving the technological progress level of the waste power generation industry could reduce the investment costs for investors. Xin-gang et al [16] constructed a system dynamics model to study the impact of feed-in tariff subsidy policy and a renewable energy quota system on the waste power generation industry, and the results show that market-based tools are sustainable in the long run. Subsidy policy plays an important guiding role for biogas power generation technology [17].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Secondly, improving the technological progress level of the waste power generation industry could reduce the investment costs for investors. Xin-gang et al [16] constructed a system dynamics model to study the impact of feed-in tariff subsidy policy and a renewable energy quota system on the waste power generation industry, and the results show that market-based tools are sustainable in the long run. Subsidy policy plays an important guiding role for biogas power generation technology [17].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The adoption of biogas power generation technology refers to the process of biogas power generation projects being adopted by investors over time. According Energies 2023, 16, 1622 2 of 11 to public data, the installed capacity of biogas power generation will be 1,110,000 kW by 2021, https://www.sohu.com/a/600117257_120113054 (accessed on 27 October 2022). Alternatively, the raw materials of biogas power generation projects are all kinds of wastes containing organic matter, so the waste resources that can be used for biogas have great potential.…”
Section: Introduction 1background and Motivationmentioning
confidence: 99%
“…The socioeconomic and climate data used in the prediction model comes from National Bureau of Statistics of China 1,2 . The power data comes from the Wind database 3 .…”
Section: Data Resourcementioning
confidence: 99%
“…In order to promote the development of renewable energy, the Chinese government has adopted feed-in tariff (FIT) and RPS policy [1,2]. FIT has greatly promoted the growth of RE installed capacity.…”
Section: Introductionmentioning
confidence: 99%
“…They concluded public policy has a key role in the path of transition to RE patterns and consequently it has to be cautiously employed. Zhang et al [19][20][21][22] developed an SD model to evaluate the effect of FiT and renewable portfolio standards (RPS) on the development of China's biomass, wind, and PV power industries. The results showed that in the purely competitive market, RPS could promote PV, waste incineration, and biomass development better than the FiT; however, the integrated implementation of FiT and RPS can result in better outcomes for the wind power industry.…”
Section: Literature Reviewmentioning
confidence: 99%