Shanxi University of Finance and Economics, Taiyuan, 030006, People's Republic of China.
Environ Sci Pollut Res Int. 2020 Oct;27(30):37199-37209. doi: 10.1007/s11356-019-07390-2. Epub 2019 Dec 21.
The aim of this study was to explore the enterprises in the mining area, in the face of environmental pollution, to use relationship embedding to acquire new key knowledge from the external network, and to improve environmental governance performance. In this paper, a model between relationship embedding and environmental governance performance was established, and five main hypotheses were proposed. Luliang Mountain Area is a typical mining area in China. And this study used 310 sample datum and regression analysis to empirically test the mechanism, taking Luliang Mountain Area as an example. First, SPSS statistical software was used for reliability and validity analysis of the questionnaire, and the results showed good. Then regression analysis was performed to test the hypothesis. The results showed that relationship embedding has a significant positive impact on environmental governance performance, and enterprises in the mining area use relationship embedding to obtain key knowledge, which can enhance environmental governance performance. Internal social capital has a positive adjustment effect on the relationship between relationship embedding and knowledge acquisition. In order to control environmental pollution in the mining area, enterprises should make full use of the relationship embedding, acquire new key knowledge, improve environmental governance capacity, and improve the environmental governance performance of enterprises.
本研究旨在探讨矿区企业在面临环境污染时，如何利用关系嵌入从外部网络获取新的关键知识，以提高环境治理绩效。本文构建了关系嵌入与环境治理绩效之间的模型，并提出了五个主要假设。吕梁山区是中国典型的矿区，本研究以吕梁山区为例，采用 310 份样本数据，通过回归分析对机制进行实证检验。首先，利用 SPSS 统计软件对问卷进行了可靠性和有效性分析，结果良好。然后进行回归分析以检验假设。结果表明，关系嵌入对环境治理绩效有显著的正向影响，矿区企业利用关系嵌入获取关键知识，可以提升环境治理绩效。内部社会资本对关系嵌入与知识获取之间的关系具有正向调节作用。为了控制矿区的环境污染，企业应充分利用关系嵌入，获取新的关键知识，提高环境治理能力，提升企业的环境治理绩效。
