The impact of environmental corruption on green consumption: A quantitative analysis based on China's Judicial Document Network and Baidu Index

Juan Lu and He Li

Socio-Economic Planning Sciences, 2023, vol. 86, issue C

Abstract: In developing countries, green consumption is still in its infancy, and the institutional environment is very important for it. In the implementation of environmental policies to stimulate green consumption, environmental corruption may affect production cost or residents' environmental responsibility. This paper aims to reveal the impact of environmental corruption on green consumption, quantify environmental corruption by collecting the cases of China's Judicial Document Network, and quantify green consumption by constructing an evaluation index system based on Baidu Index. First, baseline results show that environmental corruption is negatively correlated with green consumption. Second, impact path test is carried out from production side, sales side and consumption side. In the production side, environmental corruption inhibits green consumption by weakening green products quality and environmental investment. In the sales side, environmental corruption suppresses green consumption by weakening sales expenses and market share of green products. In the consumption side, environmental corruption inhibits green consumption by reducing government information disclosure and environmental responsibility. Third, threshold effect test is carried out from the perspective of economic basis and human capital basis. The impact of environmental corruption on green consumption is not significant as per capita GDP is lower than 9600 yuan. As the per capita GDP is higher than 13000 yuan, the inhibition of environmental corruption on green consumption is weakened. As the average education is more than 8.14 years, the inhibition effect is significantly weakened. Fourth, this paper compares the spatial impact of different types of environmental corruption on surrounding green consumption by building a spatial Durbin model. Environmental bribery has a higher inhibition on local green consumption, and environmental malfeasance has a higher negative impact on surrounding green consumption.

Keywords: Environmental corruption (ECOR); Green consumption (GCS); Baidu index; Spatial spillover; Threshold effect (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:86:y:2023:i:c:s003801212200252x

DOI: 10.1016/j.seps.2022.101451

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