Industrial Pollution Governance Efficiency and Big Data Environmental Controlling Measures: A Case Study on Jiangsu Province, China

Industrial economic development, which is characterized by high input, high pollution, high consumption, and low benefits, causes environmental pollution problems to be prominent due to the increase of industrial pollutants every year. Blind expansion of investment scale regardless of governance efficiency of industrial pollution can lead to a certain amount of resource wastage. Thus, improving the governance efficiency of industrial pollution is an important method to solve industrial pollution. In particular, applying big data on environmental protection for environmental pollution management can improve the efficiency and quality of pollution control, and ensure comprehensive examination and governance of environmental pollution. In this study, research on industrial pollution governance efficiency in foreign developed countries was reviewed. Furthermore, industrial pollution governance efficiency in Jiangsu Province, China was calculated and certain measures were proposed to prevent and control industrial pollution by applying big data on environmental protection. Results demonstrate that the trend in which industrial pollution governance of emerging technologies, such as big data, penetrate into environmental protection and human capital input can significantly decrease industrial wastewater and industrial solid wastes. Technological innovation makes remarkable contributions to industrial waste gas control. To increase industrial pollution governance efficiency, this study proposes certain measures, such as establishing a scientific and highly efficient big-data monitoring network system for ecological environment, fully utilizing block-chain technological advantages in industrial pollution control, constructing a perfect big-data sharing and processing platform for environmental protection, and increasing sharing and application values of big data on environmental protection. Research conclusions can provide important references to reduce industrial pollutant emissions, increase the efficiency of industrial pollution governance, increase applications of big-data on environmental protection, and construct and perfect a big-data sharing platform for environmental protection.