Research on Niche Improvement Path of Photovoltaic Agriculture in China

Lingjun Wang and Yuanyuan Li ()
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Lingjun Wang: School of Economics and Management, Nanjing Institute of Technology, Nanjing 211167, China
Yuanyuan Li: School of Food Science, Nanjing Xiaozhuang University, Nanjing 211171, China

IJERPH, 2022, vol. 19, issue 20, 1-25

Abstract: To explore the niche improvement path of photovoltaic agriculture in China, a niche influencing factor system was constructed first. Then, this study innovatively combined the DEMATEL and analytic network process (DANP) method and the NK model, which can correct the defects of the traditional NK model. Based on the above method, the influence coefficients and index weight of each niche factor were calculated, and the niche fitness landscape of photovoltaic agriculture was constructed. Finally, according to the fitness landscape map of each combination state, the optimal configuration state of niche influencing factors of photovoltaic agriculture and the optimal niche improvement path of photovoltaic agriculture were explored. We found that the interaction between the six niche influencing factors determines the niche fitness of photovoltaic agriculture, and the changes in the niche fitness and the niche improvement of photovoltaic agriculture are coordinated. It was proposed that the optimal niche improvement path of photovoltaic agriculture in China is “technological innovation → policy formulation → resource allocation → economic improvement → social recognition → environmental protection”, and the research conclusions were further explained and discussed.

Keywords: photovoltaic agriculture; niche improvement path; niche influencing factors; DANP; NK model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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