This paper, based on China's resource industries data during 2000 to 2016, studies the temporal-spatial concentration of resource industries via Herfindahl-Hirschman Index (HHI), EG, Locality Entropy, and its changing trend from Theil Index, and analyzes its economic effect of geographic concentration by means of CES. China's resource industries show a remarkable geographic concentration with variances among each industry. Its temporal-spatial changing trend shows a different spatial distribution with leading industries varying with locations, and indicates a diminishing variance among entities within concentrating area, but increasing across areas. It also displays a geographic transfer. Their geographic concentration can promote regional economy, but some may be little even negatively. This paper presents suggestions for resource industries in different regions from boosting resource industries chain management, expanding industrial concentrating effect, intensifying network and coordinated development and materializing resource sharing.

As industrial clusters grow fast, they need to improve their competitiveness and to realize industrial upgrade, which can be reached by using social capitals and increasing organizational learning ability. This paper, based on cases, establishes a conceptual model of industrial cluster competitiveness influenced by social capital from three dimensions of social capital and organizational learning ability, and uses structural function model and Lisrel software to test the assumption. During effects of social capital and organizational learning ability, the three dimensions of social capital, structural, relation and recognition dimensions, promote the organizational learning ability directly and indirectly, and vice versa. This study offers a useful supplement to related theories.

As economy grows, resources industry is increasingly consuming natural resources, and also brings lots of pollution. Hence, the sustainable growth of resources industry is constrained by resources depletion and environmental pollution cost. This paper, based on environmental endogenous growth theory and sustainable growth theory, establishes a growth model of resource and environmental endogeneity through quantitative and qualitative analysis, whose dynamically optimal control solution is gained through Hamilton function and Pontryagin Maximum, the optimal mining pace of resources. In order to guarantee the sustainability of nonrenewable energy, it needs to boost development of alternative energy.Through “Open source, throttling, efficient” path to achieve resourcebased industries of sustainable growth objectives under energy and environmental constrains.

This paper uses dynamic planning to study China's rareearth metal strategic reserve in 2012—2020. Mining rareearth metal in Chinas market leads to an increased rareearth metal reserve, but at variable rate as time goes by. An interrupt of rareearth metal supply will cast impacts on rareearth metal reserve, which shall be raised at rate with a rising interrupt. A flexible demand of rareearth metal also is related to the optimal rareearth metal reserve. This paper proposes to set up laws on rareearth metal reserve, different rareearth metal with different reserve means, to provide a capital guarantee and to intensify technical research and development.

This paper, based on sustainable development theory and prairie features, sets up a matrix evaluation index system of triple capacities, and uses its variable weights to comprehensively evaluate the sustainability in Chinas Yili, Xilingol, Naqu and Qilianshan prairies. The results show the strongest sustainability in Yili, followed by Naqu, the weakest in Qilianshan. Prairie can acquire sustainability only with a coordinated relation of economy, resources and management. This paper presents approaches to prairies sustainable development from policy optimization and management.