Climate change is significantly and enduringly impacting global agricultural supply chains (ASCs), underscoring the urgent need to enhance their climate resilience. This study aims to identify key strategies for building agricultural supply chain resilience (ASCRes) in the context of climate change and their interrelationships. Through a comprehensive literature review and expert consultations, a framework of 12 strategies was developed. Using survey data from 312 Chinese ASC companies, BP-DEMATEL-ISM and PLS-SEM methods were employed to conduct causal analysis and factor level evaluation. The results indicate that “diversification of agricultural products and supply chain (SC) networks,” “Agriculture 4.0 and digital transformation,” and “taking proactive climate action” are critical strategies to enhance ASCRes in the context of climate change. These findings can provide theoretical basis for farmers, ASC companies, and governments to cope with the impact of climate change, so as to build more robust ASC systems.
Facing the increasingly complex and uncertain external environment, the reasonable control of investment risk is the key to realizing the sound operation and high-quality development of enterprises. Based on the innovation perspective, this paper takes A-share non-financial listed companies from 2007 to 2021 as the research sample to explore the impact of the corporate risk-taking level on the high-quality development of enterprises and examines the transmission mechanism of the relationship between the two from the perspectives of innovation efficiency, innovation input, and innovation output. It is found that enterprise risk-taking significantly inhibits the high-quality development of enterprises, by reducing innovation efficiency; innovation efficiency plays a mediating role in the influence of the relationship between the two, which is mainly due to the fact that enterprise risk-taking increases the innovation inputs of enterprises but reduces the innovation outputs of enterprises, and then reduces the innovation efficiency of enterprises and inhibits the high-quality development of enterprises. This heterogeneity study finds that the inhibitory effect of corporate risk-taking on the high-quality development of firms is more pronounced among manufacturing firms, small-scale firms, and firms with higher capital intensity. The findings of this study provide both guidance to help enterprises to reduce risky investment decision-making behaviors and experience for regulators to effectively promote the formulation of policies related to the high-quality development of the real economy.
To advance breakthroughs in core technologies and foster the growth of technology-based enterprises, China has introduced the Sci-Tech Finance Pilot Policy with the aim of promoting sci-tech enterprise development through optimized financial resource allocation. Based on a sample of technology-based firms listed on China’s SME Board and ChiNext Board from 2009 to 2023, this study empirically examines the relationships between the Sci-Tech Finance Pilot Policy, scale expansion, and technological innovation using a multi-period Difference-in-Differences (DID) model. The key findings reveal that, first, the Sci-Tech Finance Pilot Policy simultaneously promotes corporate scale expansion and technological innovation, generating both scale and innovation effects; second, it generates scale and innovation effects by optimizing financial resource allocation, while scale expansion further induces additional innovation effects. Third, heterogeneity analysis reveals that the innovation effect of the Sci-Tech Finance Pilot Policy is stronger, and the scale effect is weaker when the technology-based enterprise is privately owned, possesses a solid R&D foundation, or operates in a favorable external innovation environment. The findings of this study demonstrate that technology finance policy promotes high-quality development through the synergy between scale and innovation, providing policy implications for developing countries in implementing the United Nations Sustainable Development Goals.
1 January 2025 in Journal of Industrial and Management Optimization
In recent years, there have been frequent online public opinion events against the quality of new energy vehicles. Enterprises in the supply chain must adopt effective information prediction and sharing strategies for consumers' perceived quality to optimize their decisions and profits. In this paper, we construct and solve the Stackelberg game model for a supply chain structure composed of new energy vehicle manufacturers, battery manufacturers, and fuel vehicle manufacturers, respectively, under the scenarios of sharing or not sharing perceived quality information of new energy vehicles under the dual credit policy. Based on the analysis of the model solving results, this paper further uses the numerical example method to analyze the influence trend of the credit price and information prediction accuracy on the decisions and profits of enterprises, and finally puts forward management enlightenment for enterprises. The results show that: When the credit price and information prediction accuracy change, enterprises should adopt different decision-making optimization schemes under different information sharing scenarios; new energy vehicle manufacturers should actively seek cooperation with battery manufacturers in information sharing, which will not only optimize the profits of battery manufacturers, but also benefit the profits of new energy vehicle manufacturers, fuel vehicle manufacturers and the entire channel; if new energy vehicle manufacturers insist on not sharing information, it will lead to a "lose-lose" situation.