Research on Coupling Coordination Development for Photovoltaic Agriculture System in China

Chen, Jian; Liu, Yiping; Wang, Lingjun

doi:10.3390/su11041065

Cited by 25 publications

(15 citation statements)

References 37 publications

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“…As a measure of the ambiguity of the concept of state level, the size of cloud entropy E n reflects the acceptable numerical range of the concept of state level, which affects the accuracy of the evaluation results. ere are mainly two kinds of cloud entropy calculation methods based on scholars' understanding of different angles of classification [42].…”

Section: Cloud Entropy Optimizationmentioning

confidence: 99%

Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

Cao

Bian

Wang

et al. 2021

Mathematical Problems in Engineering

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The development of the new energy vehicle industry is necessary for its advantages of saving energy and reducing greenhouse-gas emissions. However, the industry is currently facing risks with regard to, for example, technology, market, and the policy. Most existing studies of industry risk focused on analyzing and evaluating risk factors and summarizing and interpreting risk phenomena. In this study, systematic classification and quantitative analysis for the risk of the new energy vehicle industry were investigated, in which the entropy weight method and cloud model were combined to evaluate and quantify the industry risk. The formation mechanism of the industry risk from endogenous and exogenous perspectives was analyzed to screen out risk-evaluation factors. Combining the expert-investigation and fuzzy-statistics methods, a risk-evaluation index system with six primary indicators and twenty-four secondary indicators was constructed. On the basis of the entropy weight-cloud model, the risk of the new energy automobile industry of Jiangsu province in July 2019 was evaluated. Results indicated that the impact of exogenous risk on the industry was greater than that of endogenous risk, and industry risk was higher than medium risk, which was close to a higher medium level. A series of suggestions are given for preventing industry risk, such as improving the industry’s own ability to resist risk and building the industry’s soft environment.

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Section: Cloud Entropy Optimizationmentioning

confidence: 99%

Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

Cao

Bian

Wang

et al. 2021

Mathematical Problems in Engineering

Self Cite

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show abstract

“…Small and medium-sized grid-connected projects are prevalent in central areas such as Hebei and Shandong. In coastal provinces of Zhejiang and Jiangsu, the integration of fishery or agriculture to solar PV power is a terrific choice [79,80]. In the remote mountainous areas of Yunnan and Sichuan, self-consumption off-grid solar PV power systems are a perfect alternative [81].…”

Section: Technological Opportunities (To) Analysis 441 Tremendous Technical Potential For All-round Deployment (To1)mentioning

confidence: 99%

“…Solar PV power is exceptionally active in innovative activities. New applications and business modes have emerged such as solar PV power integrated with agricultural greenhouse rooftops [36,79], solar PV power constructed on fishery ponds [80], or solar PV power generation combined with desertification prevention or forestry cultivation. However, technical standards and supervision specification rules for solar PV power are consummated.…”

Section: Unavailability Of Technical Standard For Emerging Modes and Recyclingmentioning

confidence: 99%

Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis

Wang

Yang

et al. 2021

Energies

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China has experienced rapid social and economic development in the past 40 years. However, excessive consumption of fossil fuel energy has caused an energy shortage and led to severe environmental pollution. To achieve sustainable development, China is striving to transform its growth mode. Adopting renewable energy (RE) including solar photovoltaic (PV) power is an effective measure. How to promote the further development of solar PV power under the scenario of China’s aspirational target of carbon peak by 2030 and 20% RE ratio in the energy mix remains a theme that need to be addressed. This paper analyzes the potential opportunities and challenges confronting solar PV power in China. The analysis covers the dimensions of political, economic, social, and technological (PEST). The results revealed a significant prospect for the further deployment of solar PV power in the coming decades. The aggressive estimated installed capacity of solar PV power is expected to reach 80+ GW annually. To successfully achieve the goal of 80+ GW, barriers that hinder the further development of solar PV power have to be eliminated. Suggestions for policymakers include maintaining enforceability and continuity of policies, favorable financial supports, mandatory RE quotas for all parties, and supporting fundamental R&D. Suggestions for the solar PV industry include full utilization of integrated applications, set up an after-sales service network, collaborative innovation among the industry chain, and engaging in storage and hydrogen technology. The findings are greatly beneficial for policymakers and the solar PV industry.

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“…is causes excessive short-term prosperity, which leads to excessive speculative demand for investment, while the supply lags, causing short-term supply shortages and rising housing prices. Deviating from its own value creates a real estate bubble, so it is necessary to limit the overdevelopment of the real estate industry (in addition to policy housing such as affordable housing), reduce its virtual component, and prevent the bubble from bursting into crisis [41].…”

Section: 2mentioning

confidence: 99%

Does Financial Development Hamper or Improve the Resource Curse? Analysis Based on the Panel Threshold Effect Model

Sun

Cai

2020

Mathematical Problems in Engineering

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This paper analyzes the “resource curse” and “financial threshold effect” that may exist in China and then uses the data from 30 provinces from 2004 to 2018 as research samples. We used linear regression and nondynamic panel threshold models to analyze the financial threshold effects of the “resource curse” hypothesis and the “resource curse” phenomenon. At the same time, we divided the level of financial development to verify the robustness of the research conclusions in this paper. The study found the following: (1) There is a certain correlation between the abundance of resources and economic growth. Whether this can be seen as a “curse” or a “blessing” of resources is significantly related to the degree of financial development. (2) Whether financial development can alleviate the “resource curse” depends on the degree of financial development. In the extremely scarce stage of financial resources, the resource endowment effect is obvious, and the level of economic development in resource-based regions will be higher than in other regions; when the level of financial development is low (financial resources are not scarce and have not reached a reasonable level), the phenomenon of the “resource curse” appears; when the level of financial development is highly developed, economic development benefits more from financial development, and the effects of resource endowment decline. Only when financial development is at a reasonable level can resource endowments effectively raise the level of economic development.

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Research on Coupling Coordination Development for Photovoltaic Agriculture System in China

Cited by 25 publications

References 37 publications

Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis

Does Financial Development Hamper or Improve the Resource Curse? Analysis Based on the Panel Threshold Effect Model

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