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Subsidies, loans, and companies' performance: evidence from China's photovoltaic industry

Abstract China’s Photovoltaic (PV) industry plays a critical role in the global PV industry. Between 2013 and 2015, Chinese PV companies were restricted in their access to debt financing. However, to date there has been a lack of studies investigating this “Credit Restriction Policy“. This paper innovatively builds a dynamic game model to analyze the behavior of governments, banks and the PV companies in the process of financing PV companies and is the first attempt to use the quasi-natural experiment in the PV industry to investigate the impact of loan restriction on firm performance. The game analysis shows that both the governments' support behavior and companies' loan decisions have nothing to do with the cost of governments' support to companies. Using the panel data for China's listed PV companies from 2007 to 2017, the empirical results reveal that restricting access to bank loan undermines PV companies’ performance, but government subsidies have little impact on the operating performance of PV companies. The results suggest that while restriction of financial access has negative impact on PV companies, government’s administrative intervention is not desirable and instead government should improve the institutions for bank lending.
- University of Technology Sydney Australia
- Hubei University China (People's Republic of)
- Center of Hubei Cooperative Innovation for Emissions Trading System China (People's Republic of)
- Nanjing University of Aeronautics and Astronautics China (People's Republic of)
- Hubei University China (People's Republic of)
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).53 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 1% 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 1%
