We investigate the impact of strategic alliances on corporate green innovation by collecting and collating announcements of Chinese A-share listed enterprises related to their participation in strategic alliances from 2007 to 2022, and yields three main findings: Strategic alliances significantly improve corporate green innovation, and it contributes more to symbolic green innovation than to substantive green innovation, using the proportion of other enterprises in the same industry and same province that participated in strategic alliances in the previous year as an instrumental variable, we find that this positive impact is likely to be causal. Mechanism analysis indicates that public attention and productivity play an important moderating role in this process. The research results also show that the impact of strategic alliances on corporate green innovation is heterogeneous in terms of industry competitiveness, enterprise categories and strategic alliances types. Our research sheds mechanisms of strategic alliances on corporate green innovation, and provides a theoretical reference for enterprises to improve their green innovation level and enhance their core competitiveness.

Grain trade plays a critical role in global grain security and the balance of grain supply and demand across countries. As globalization progresses, the complexity and diversity of grain trade have become increasingly prominent. Its significance extends beyond the economic sphere, directly impacting social stability and international relations. The dynamic development of grain trade is influenced by a variety of factors, including climate change, international economic policies, technological advancements, and geopolitics. At the same time, the complexity of global grain supply chains, the uncertainty of international trade policies, and the frequent occurrence of extreme climate events pose significant challenges to the smooth operation of grain trade. In recent years, there has been growing attention in the international community on how to achieve the sustainable development of grain trade by optimizing policies, strengthening international cooperation, and promoting technological innovation. This study systematically reviews the existing literature on grain trade, providing a comprehensive summary of the research landscape, covering factors influencing grain trade, development trends, supply chain management, and risk management. The goal is to provide a systematic analysis and insights for both academics and policymakers, as well as directions and references for future research. Additionally, the study explores how grain trade has maintained resilience amid global crises such as the COVID-19 pandemic and climate change, and offers strategic recommendations for achieving global grain security. This research aims to further promote the sustainable development of grain trade systems and provide strong support for global grain security and socioeconomic stability.

Strategic entrepreneurship (SE) emphasizes synchronous advantage-seeking and opportunity development, an important mode for enhancing the core competitive advantage of scientific and technological innovation in enterprises and realizes sustainable innovation in a dynamic and uncertain environment. Through a questionnaire survey of 308 small- and medium-sized science and technology innovation enterprises in the Chinese Pearl River Delta region, this study explores how managers’ cross-border capability (MCC) affects the SE of science and technology innovation enterprises. Research shows an inverted U-shaped relationship between the MCC and SE of scientific and technological innovation enterprises. Organizational learning (OL) plays an intermediary role in the relationship between MCC and SE, while attention to policy positively adjusts the inverted U-shaped relationship between the MCC and SE of science and technology innovation enterprises. The regulatory effect of cross-border efforts on the relationship between MCC and SE of scientific and technological innovation enterprises is insignificant; however, they positively regulate the role of MCC in OL, which can positively impact the SE of scientific and technological innovation enterprises through OL. This study has implications for optimizing the internal and external resources of the organization, promoting the capture of innovation opportunities, and constructing competitive advantages for scientific and technological innovation enterprises.

This research delves into the temporal dynamics of a nation's pursuit of a targeted GDP per capita level, employing five different survival machine learning models, remarkably Deep Learning algorithm (DeepSurv) and Survival Random Forest. This nuanced perspective moves beyond static evaluations, providing a comprehensive understanding of the developmental processes shaping economic trajectories over time. The economic implications underscore the intricate balance required between calculated risk-taking and strategic vulnerability mitigation. These findings guide policymakers in formulating resilient economic strategies for sustained development and growth amid the complexities inherent in contemporary economic landscapes.

Risk management strategies protect the company as a whole as well as employees from unexpected financial impacts. As is the case in personal finance, preparing for certain scenarios helps confront any difficulties the company may face and allows it to get out of this predicament. For any project to be successful, it must be determined how the agency implementing the project will deal with potential risks so that it can identify, mitigate or avoid problems when it needs to do so. Successful project managers realize the importance of risk management, because achieving project objectives depends on planning, preparation, results and evaluation that contribute to achieving strategic objectives, especially sustainable development of communities. To ensure the success of your project, determine how you will handle potential risks so that you can identify, mitigate, or avoid problems when you need to do so.

The Public Welfare Foundation of a listed company is a non-profit organization with independent legal personality. It is established and funded by a listed company. The purpose of establishing a foundation for a listed company is generally to carry out charitable activities and make important contributions to charitable causes. However, due to the special power separation model, the autonomy of the foundation is poor, and there may be serious agency conflicts, ultimately leading to listed companies becoming beneficiaries of the foundation's charitable activities. We have found from the perspectives of commercial credit, sales, and cooperative relationships that social responsibility initiating organizations (listed companies) can obtain potential benefits from social responsibility fulfilling organizations (listed company public welfare foundations) in supply chain commercial relationships, that is, listed companies that establish public welfare foundations have good supply chain commercial relationships. When a listed company and a public welfare foundation have a close relationship in terms of fund donation, decision-making, business, and naming, the public welfare foundation has a strategic preference in selecting project names, project service areas, project beneficiaries, and project service areas. It prioritizes the interests of the listed company, enabling the listed company to obtain better supply chain business relationships.

The enactment of policies that bolster new research and development (R&D) institutions stands as a pivotal strategy to catalyze urban innovation and development. Adopting a strategic lens of innovation chain management and employing the Differences-in-Differences (DID) method to scrutinize panel data from 43 Chinese cities spanning 2008 to 2019, this study probes the efficacy and underlying mechanisms of policies designed to support nascent R&D institutions in facilitating urban innovation. Empirical findings reveal that policies in support of new R&D institutions have markedly enhanced the three integral stages of the urban innovation chain: research and development, transfer, and application. Furthermore, the innovation ambiance within cities and the innovative activities of enterprises emerge as significant mediators between support policies and the output of urban innovation across these stages. A regional heterogeneity analysis unveils that the impact of support policies on the output of urban innovation diverges across regions, with a notably more pronounced effect observed in the eastern region compared to central and western regions. An objective appraisal of the policy's impact on urban innovation not only aids in delving into the profound implementation effects of policy instruments but also furnishes policy-makers with decision-making references for optimizing the utilization of support policies for new R&D institutions to advance the edification of the national innovation system.