As the main way of international capital flow and an important carrier of international technology spillover, have inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI) improved the green development quality of the logistics industry? Based on the panel data of 27 provinces in China from 2006 to 2015, this paper uses the panel model to empirically test the impact of two-way FDI on the green development quality of the logistics industry. This paper mainly draws the following research conclusions: (1) Two-way FDI had significantly improved the green development quality of the logistics industry, and the promotion effect of IFDI was stronger than that of OFDI, indicating that two-way FDI is a key approach of enhancing the quality of the green development.(2) The impact of two-way FDI on the green development quality has spatial-temporal heterogeneity. Specifically, only in the eastern region, IFDI and OFDI have played a significant role in promoting the green development of the logistics industry at the same time; the role of IFDI in improving the green development quality of the logistics industry has weakened over time, while OFDI has strengthened.(3) The effect of two-way FDI on the green development quality of the logistics industry was affected by the environmental regulation intensity. With the improvement of environmental regulations intensity, the impact of IFDI on the green development quality of the logistics industry presents an "inverted U" trend that first rises and then decreases. The impact of OFDI on the green development quality of the logistics industry presents a gradually increasing characteristic.
The problem of the evaluation of environmental governance capacity is an important issue in evaluating the improvement of ecological environment and the quality of economic development, but there are few evaluation models about environmental governance capacity. Considering the expression habits, the association and the psychological changes of experts, and the ambiguity of the decisionmaking environment, a consensus model for group decision making of 2-dimension 2-tuple linguistic information to express decision-making information in an empathy network environment is proposed in this paper. Firstly, confidence index is built by using the 2-dimension 2-tuple linguistic information. Secondly, the empathetic centrality incorporating the confidence index is used as induced value to gather expert decision information. The group consensus level is calculated by measuring the distance between individuals and groups, and a consensus adjustment method is established by using the confidence index. Next, the 2-dimension 2-tuple linguistic weighted averaging operator is used to process the group decision information that reaches consensus and obtain the evaluation results. Finally, an example of the evaluation of environmental governance capacity is used to prove the feasibility of the model, which can provide theoretical and method support for the problem of the evaluation of environmental governance capacity.
The great changes in the external environment of the manufacturing supply chain make its demand more complex and difficult to control. This paper takes China as an example. According to questionnaire survey and principal component analysis, the risk indicators caused by uncertain demand are screened and classified to construct evaluation system and complete risk identification. The Bayesian network integrating fuzzy set theory and left and right fuzzy ranking is used to explore the relationship between risk indicators and supply chain to achieve risk evaluation. In view of the highest risk factors, an incentive mechanism model based on information sharing is put forward to prove theoretically that information sharing is an important strategy to reduce risk. The results are as follows: The uncertain demand will lead to a high level of risk in China’s manufacturing supply chain, in which the level of information technology is the biggest cause. Only when manufacturing enterprises are willing to share information and other node enterprises join the information sharing team, can demand uncertainty be fundamentally reduced. The proposed risk assessment model realizes the method innovation and theoretical innovation. It can practical and effectively help relevant enterprises to determine and control risks.
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