Development of solar photovoltaic industry and market in China, Germany, Japan and the United States of America using incentive policies

Wen, Daoyuan; Gao, Weijun; Qian, Fanyue; Gu, Qing; Ren, Jianxing

doi:10.1177/0144598720979256

Cited by 38 publications

(14 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The practice of the countries like Germany, Japan and the USA shows that government incentive policies have significantly improved PV technology innovation. In these countries, the consumer market has fully recognized the SPVP project, and the market share of SPVP has reached a high proportion, which is relatively mature (Wen et al ., 2020).…”

Section: Discussionmentioning

confidence: 99%

Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects

Song

Zhao

2022

ECAM

View full text Add to dashboard Cite

PurposeThe development of China's solar photovoltaic (PV) industry is in a transition period from pursuing scale and speed to focusing on efficiency and quality. “Smart PV projects” (SPVPs) were proposed by the ministries of the Chinese government in 2018 to encourage intelligent upgrading and to fill the gaps in traditional PV projects. However, only a small number of PV enterprises are in progress, and only a few SPVPs have been built. The intelligence level of China's PV projects needs to be improved. The purpose of this study is to analyze the willingness of the main participants to be involved in the intelligent upgrading of PV projects by establishing an evolutionary game model that includes three parties.Design/methodology/approachA tripartite evolutionary game model is constructed that considers PV enterprises, project owners and the government. The evolutionary stability strategies of each party and the corresponding stable conditions are obtained. The parameters that affect the decision behaviors are also analyzed.FindingsThe four stages of the intelligent upgrade of PV projects and the effects of the government subsidy strategies are examined. At different stages, adopting different measures to promote cooperation among the three parties involved is necessary. Government subsidies should be provided to PV enterprises during the initial stage and should be biased toward project owners during the intermediate stage. During the peak stage, PV enterprises constantly need to decrease project costs and improve quality and service, thus helping project owners reduce their initial investments and obtain additional gains. The government's reputation drives it to continually adopt incentive strategies.Originality/valueThis research focuses on the interactions among the three parties. Based on evolutionary game analysis, several conditions that facilitate the intelligent upgrading of PV projects are illustrated. Implications for different developing stages are proposed from the perspectives of each party for the decision-makers of SPVPs.

show abstract

Section: Discussionmentioning

confidence: 99%

Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects

Song

Zhao

2022

ECAM

View full text Add to dashboard Cite

show abstract

“…Another barrier to installing such resources is the high investment cost of them since they are costly technologies. To overcome this problem, many countries have legalized incen-tive policies and offered investment plans to attract private investors' attention [3,4]. In such conditions, the benefit of private investors is assessed through economic indices such as payback period years (PBY), internal rate on return (IRR), and net cash flow.…”

Section: Motivationmentioning

confidence: 99%

A bi‐level multistage distribution network expansion planning framework with the cooperation of residential private investors (A case study in Iran)

Ashoornezhad

Falaghi

Hajizadeh

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

In recent years, supporting schemes have been legislated by several governments to encourage private investors in installing renewable energy resources (RER). In such cases, the supportive policies are mainly enacted based on the either investor or distribution companies’ standpoint. In this paper, a distribution network expansion planning (DNEP) framework with the cooperation of residential private investors (RPI) is proposed. Due to the presence of a couple of main participants, the proposed framework is arranged in a bi‐level framework, where the RPI participation is optimized at the upper level, and the system structure is determined at the lower level. In order to assess the profitability of the project from the investors’ attitude, payback period years (PBY) is utilized. Meanwhile, due to the presence of uncertainty resources, fuzzy clustering method (FCM) is developed to catch the intermittency of the problem. The proposed framework is implemented on a real 81 bus distribution test system in Iran. Moreover, the existing scheme in Iran and also a modified plan are investigated to make cost‐effective decisions. Finally, sensitivity analysis is performed to reach a more beneficial result. Obtained results demonstrated how distribution companies can utilize the potential of residential customers in long‐term planning.

show abstract

“…Japan also introduced an RPS scheme in 2003 to expand the development of other types of renewables such as wind power. But Japan surrendered the leading position because of the rise of German and European markets as well as the ascent of Chinese manufacturers (Wen et al, 2021).…”

Section: Reviewmentioning

confidence: 99%

Measuring policy analytical capacity in renewable energy policy: Germany‐Japan‐US comparison

Sugiyama

Muto

2022

Review of Policy Research

View full text Add to dashboard Cite

Policy makers in the modern age must confront complex and expanding knowledge on a daily basis. It has been put forth that policy making requires increasingly higher levels of policy analytical capacity at the individual, organizational, and system levels. Analytical capacity can enable better policy design and facilitate policy learning. Previous studies mostly operationalized the concept at the individual or organizational level with survey instruments, but the lack of widely and regularly conducted surveys limits the applicability of this method. Here, we propose new indicators of policy analytical capacity at the system level, using publicly available data. Our metrics are based on the outputs such as academic journal publications, government and stakeholder publications, and think‐tank rankings. As an illustration, we apply this approach to the case of renewable energy policies in three countries: Germany, Japan, and the United States. Though each of the underlying metrics is susceptible to uncertainties and biases, a totality of the indicators presents a useful, proxy measurement of policy analytical capacity. The proposed approach can supplement the survey method by enabling longitudinal and geographical investigation into policy analytical capacity.

show abstract

Development of solar photovoltaic industry and market in China, Germany, Japan and the United States of America using incentive policies

Cited by 38 publications

References 42 publications

Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects

Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects

A bi‐level multistage distribution network expansion planning framework with the cooperation of residential private investors (A case study in Iran)

Measuring policy analytical capacity in renewable energy policy: Germany‐Japan‐US comparison

Contact Info

Product

Resources

About