Based on the perspective of multidimensional proximity, this paper examined the relationships between cognitive and social proximities with key customers and green product innovation performance via the mediation of green value co-creation by using data from 211 fine chemical small and medium-sized enterprises in clusters in China. Moderating effects of geographical distance and green project duration were assessed to further explore the relationship. The results revealed that social and cognitive proximities can promote green co-production and enhance green product innovation performance. Moreover, the relationship between social proximity and green co-production is hindered when customers are geographically distant or short duration partners of green projects. Eventually, this study was quite different from previous research by relating proximities to green value co-creation and green innovation performance in the context of small and medium-sized enterprises in emerging markets. The study provides a research framework for related research on green innovation.
Based on the theory of ecological organization, this paper analyzes the operation mechanism of chemical industry park (CIP) ecosystem by means of dynamic simulation. The research shows that the CIP ecosystem is a complex ecological system whose operation mechanism includes two levels, namely individual enterprises and ecosystem. At the level of individual enterprise, there are competition, symbiosis, invasion and other interactions between enterprises in the CIP ecosystem. Through the pre-determined judgment of the competition effect coefficient and the symbiosis effect coefficient, we calculate how the enterprises influence each other, and then generate their respective operation paths, and finally realize the long-term balance of the system. At the level of ecosystem, the CIP ecosystem makes self-organizing and self-adaptive adjustments and changes due to the changes of the external environment in policy, manpower, technology, capital, market, etc., thus reaching the equilibrium state of coordinated operation and stable symbiosis with the external environment.
Logistics had become an important source of growth in China. Some part of this rapid logistics industrial development could be attributed to the industrial agglomeration in the country. This paper analyzed the developing environment and the current situation of the logistics industry, and calculated the location quotient of 21 national logistics nodes cities of China. The results show that regional logistics agglomeration level is rising. Then chose six factors as independent variable, the location quotient in terms of logistics industry as dependent variable, and did an analysis with Panel Data model for the purpose of determining the influencing factors. The GDP is negatively related to agglomeration degree, while the others such as the output value of secondary industry, the output value of Tertiary industry, Total Investment in Fixed Assets in Transport, Storage and Post, Number of Employed Persons in Transport, Storage and Post and Freight Ton-Kilometers are contrary.
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