No abstract

Since the reform and opening up in 1978, the economic development in China has experienced a rapid growth stage. Statistics show that annual GDP has grown at an average rate of nearly 10%, and the annual per capita GDP growth rate has also approached 9%. With the rapid economic growth, the problem of environmental pollution across the country has become increasingly serious, and the environmental quality has been deteriorating, which has attracted the attention of many parties in the whole society. The relationship between economic growth and environmental quality has become a hot issue in various fields. First of all, this article introduces basic concepts such as economic development, environmental quality, environmental Kuznets curve, and the relationship between economic development and environmental quality. Afterwards, it analyzes the current situation of Jiangxi Province’s economy and environment from the aspects of Jiangxi Province’s economic aggregate, industrial structure, development mode, overall law of environmental quality, and industrial waste release. Secondly, this study constructs the evaluation index system of the economic and environmental relationship in Jiangxi Province and uses the principal component analysis method to screen the primary economic and environmental indicators, providing evaluation criteria for the establishment of the economic development and environmental quality relationship model of Jiangxi Province. Third, the relationship between the main economic environment indicators after the principal component analysis is simulated, and the EKC model of Jiangxi Province is established. The research results show that the environmental Kuznets curve in Jiangxi Province is not all the typical inverted U shape in developed countries, that is, environmental pollution does not necessarily show a trend of first rising and then falling with the increase of per capita income, but it appears as N-shaped, half of the inverted U shape, and even repeated fluctuations.

Regional development disparities, especially in developing countries, have traditionally been one of the central issues of empirical research in regional economics. However, this rapid change is accompanied by profound changes in the spatial distribution of economic activities in China, the formation of regional economic “blocks,” the widening of regional disparities, and the geographical concentration of economic growth efficiency are important issues highlighted in this change. Therefore, it is important to explore the spatial clustering characteristics and patterns of regional economic growth to provide a scientific basis for relevant government departments to formulate reasonable regional development strategies and promote the balanced and stable development of economic growth. Clustering analysis is an important research topic in the field of data mining, which is used to discover unknown object classes in large-scale data sets. This paper proposes a density-clustering algorithm based on the regional economic competitiveness of China and analyzes its spatial aggregation characteristics. From the perspective of spatial structure theory, economic development is a dynamic process, and to optimize the spatial pattern of China’s regional economic development and improve the efficiency of economic interaction between regions, it is necessary to fully exploit the diffusion and trickle-down effects of important growth poles in the region to the surrounding areas. The experimental results show that the error rate of KSNN is very small, and the error rate of K-means and PSO has increased to a certain extent. Therefore, it can be obtained that the density-clustering algorithm based on the regional economic competitiveness zoning method in China can find out the correct clustering results without the given clustering individual cases. Thus, it is important to grasp the current situation of regional economic agglomeration and reveal the driving factors of agglomeration formation to promote the coordinated development of regional economy and guide the spatial layout of economic development.

In the context of the information economy era, China’s economy has entered a new normal. Underdeveloped regions are facing industrial undertakings and industrial upgrading. Enterprise innovation capabilities are the key factors for industrial upgrading. In view of this, this article first have analyzed the problem of information technology to improve the efficiency of technological innovation in underdeveloped areas, used Eviews8.0 to empirically analyze the influencing factors of information technology to improve the efficiency of technological innovation in enterprises, and finally used Deap2.1 software to analyze the information technology improve the efficiency of technological innovation in enterprises. The two empirical results unanimously show that in China’s underdeveloped regions, information technology has not been closely integrated with local human capital, and information technology has generally been inefficient or inefficient in improving enterprise innovation efficiency. It is necessary to strengthen the construction of information technology infrastructure in underdeveloped regions, andmake some measures to improve local information technology level and communication capacity. Strengthening education investment and training is to enhance the level of human capital accumulation, and with policy guidance to enable the majority of workers to use information technology, it can improve work skills and actively engage in technological innovation activities.