In order to break the bottleneck of the human capital stock restricting local economic growth in the typical western regions with backward national economic development, a research on the analysis of the impact of human resources on the economic development of ethnic regions based on data mining is proposed. On the basis of systematically reviewing the current situation and the theoretical basis of the relationship between human capital and economic growth, the method of combining normative research and empirical research is adopted, and the theories of macroeconomics, development economics, and regional economics are synthesized. In the research, the human capital and economic development in a certain western region are analyzed by establishing an econometric model. The results show that the average value of each year is taken as the inspection index, and the contribution rate is 0.0012, which shows that the contribution of human capital stock in economic growth is very small, indicating that physical capital stock is still the main driving force for local economic development. It is concluded that the research provides some relevant recommendations for human capital development to achieve sustainable local economic development.

In order to maintain the sustainable development of resource-based industrial clusters, research on the coupling relationship between resource-based industrial clusters and regional innovation networks is proposed. Combined with the historical data of 11 typical resource-based cities from 2013 to 2021, the grey relational model is used to measure the correlation between resource-based clusters and regional innovation networks. And the concept of capacity coupling and the capacity coupling coefficient model in physics is used as a reference to obtain the coupling degree model of resource-based industrial clusters and regional innovation networks. The coupling degree model is used to measure the coupling degree of the two, and a reasonable analysis is carried out on the result of the measurement. The results show that there is a correlation between resource-based industrial clusters and regional innovation networks. And the correlation between the two is above 0.65, indicating a strong correlation. The coupling between resource-based industrial clusters and regional innovation networks has entered the subsequent high-level coupling stage from the run-in coupling stage that began in 2013 and continues to maintain a high-level coupling. It is pointed out that cluster governance plans should be formulated according to regional differences and local conditions, so as to guide the transformation and upgrading of resource-based industrial clusters and to avoid the negative impact on the regional economy due to resource exhaustion.