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.

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.

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.

This paper investigates the impact of new quality productivity on corporate innovation, and empirically analyzes it using A-share data from 2012-2022. New quality productivity, which includes emerging industries, future industries and digital transformation of traditional industries, has a significant positive effect on corporate innovation. The study shows that new quality productivity promotes innovation by enhancing innovation incentives and improving ESG performance. Improvements in the institutional environment can enhance its role in promoting innovation. It is recommended to enhance new quality productivity, stimulate innovation in SMEs, focus on ESG performance and develop differentiated strategies to support sustained innovation in corporate technology.

The digital economy exerts both positive and negative influences on urban sustainable development, yet there is a notable gap in the existing research concerning its impact on energy intensity and the underlying mechanisms. this study pioneers the investigation of a nonlinear relationship between the digital economy and energy intensity, revealing a significant inverted U-shaped relationship. Specifically, we observe a noteworthy reduction in energy intensity when the digital economy index surpasses 0.286. Our empirical findings indicate that the digital economy not only directly influences energy intensity but also exerts an indirect impact through initiatives such as the promotion of green innovation and the agglomeration of high-tech industries. Importantly, the promotional effects of the digital economy exhibit heterogeneity with respect to geographical location, resource endowment, and urban scale. This paper contributes to the theoretical understanding of information technology in urban green development by analyzing the mechanisms of the digital economy at the urban level and its intricate impact on energy intensity.

This study examined whether enterprise digital transformation impacts the relationship between managerial overconfidence and cash holdings. As its quantitative analysis approaches, it employed the fixed effect method and the generalized method of moments. Firstly, a positive relationship can be found between managerial overconfidence and cash holdings. This study uses behavioural finance to explain why overconfident managers always hold more cash. Secondly, this study aims to contribute further to the field of investigation, providing additional insight into this matter. This study highlights the significance of digital transformation in mitigating the cognitive bias of overconfident managers and ensuring the organization’s successful development in a highly competitive market. This study finds that enterprise digital transformation effectively mitigates overconfident managers holding excess cash during operations. This research not only enhances the understanding of enterprise digital transformation in relation to economic repercussions but also contributes to the affection of digital economic transformation on the corporate governance of Chinese listed companies.

This study investigated the response of currency outside the banking system to the rise in the use of the e-payment outlets in Nigeria. The study is motivated by the recent rise in the use of e-payment systems and their likely tendency to reduce the currency outside the banking system. Using monthly series over the period from 2012M12 to 2022M12, the study applied the VAR model. The study found that currency outside the banking system responded negatively to shocks in the three e-payment channels included in the study, even though such responses were short-lived. The study equally revealed that while bank reserves responded positively to shocks in e-bills payment only in period one, its response to shocks in both NIP and POS was positive up to periods six and eight, respectively. These outcomes found support in the results of the variance decomposition. On grounds of the findings, the study concludes that the e-payment system led to a reduction in the currency outside the banking system with the likely implication of causing much liquidity in the banking system. It is the view of the study that the monetary authorities should encourage the use of the e-payment systems in order to reduce the currency outside the banking system, but should monitor the various e-payment channels to avoid financial instability.

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.

Based on the behavioral theory of the firm, we investigate the impact of performance negative feedback on R&D efficiency. The results show that when performance falls below aspirations, firms pay more attention to R&D projects with high R&D efficiency to get rid of the operating pressure, reputation pressure and resource constraints caused by the decline in performance. This effect may be influenced by institutional differences. In the case of negative feedback, a good regional institutional environment is conducive to the improvement of R&D efficiency, while a weak regional institutional environment weakens this effect. Specifically, the higher the degree of IPR enforcement and financial market development, as well as the lower the degree of local government intervention, the more inclined firms are to increase R&D efficiency. The findings provide insights into understanding R&D efficiency improvement in the context of emerging markets.

Occupying a preeminent position as the globe’s most extensive economic corridor, the Yangtze River Economic Belt (YREB) serves as a crucial aquifer for 800 million individuals and harbors almost 50% of the country's paramount water-intensive contaminant producers. The ecological efficiency of these producers within the belt has increasingly come under scholarly scrutiny. Leveraging data from 2004-2012 encompassing 725 such manufacturers and employing the DEA-Malmquist index methodology, this research delineates the eco-efficiency trajectories of these water-centric pollutant producers, shedding light on their spatial-temporal dynamics across the expansive Yangtze Economic Belt. The results are as follows: (1) there’s a discernible enhancement in the eco-efficiency (ML) of these manufacturers situated within the YREB, predominantly propelled by technological change (TC) and shifts in technical efficiency change (TEC); (2) From a spatial perspective, notable disparities emerge in both technological change (TC) and technical efficiency change (TEC) among the belt’s upper, middle, and lower tiers. Intriguingly, the hierarchy for TC and TEC descends as follows: Lower > Upper > Middle; (3) Examining the spatial evolution nuances, 2004 witnessed eco-efficiency distributions ranking from Upper > Middle > Lower. Fast forward to 2012, a marked reconfiguration appears with a distribution pattern of Middle > Lower > Upper.

Increasingly huge executive-employee pay gap has attracted wide attention, hence it is therefore crucial to control it at a reasonable level. Using a sample of 23,563 firm-year observations in China covering 2010-2021, we examine the U-shape relationship between the political connection, an informal institution, and the executive-employee pay gap. The U-curve reveals that political connections are beneficial whereas excessive can be harmful, and the best measure controlling the executive-employee pay gap is to keep political connections between the district level and the city level. Under different institutional environments, on the one hand, firms with higher percentages of overseas experienced CEOs are more motivated to narrow the pay gap and promote equity, on the other hand, media attention could also help reduce the pay gap, especially for traditional newspaper media. Our findings have important implications for the local government that rational political connection helps reduce excessive executive-employee pay inequity, as well as the significant role of media by creating an open and permissive environment.

Industrial policy is the government’s guidance and intervention in industrial development to achieve economic and social goals, and it seeks to steer the direction of industrial development, facilitate industrial structure upgrades, and improve social welfare. Based on panel data on 31 provinces in China from 2011 to 2022, this study examines the effects of industrial promotion from China’s Five-Year Plans on corporate innovation performance using a difference-in-differences (DID) model. The study findings indicate that industrial promotion from China’s Five-Year Plans promotes corporate innovation performance, and the basic conclusion remains robust when changing how firms’ innovation is measured, removing provincial policy interference, excluding the four municipalities in China, and utilizing the PSM-DID model. Moreover, this paper explores how industrial promotion influences firms’ innovation performance. The mechanism analysis reveals that industrial promotion from China’s Five-Year Plans encourages firms’ innovation through tax incentives, government subsidies, and credit support. In addition, heterogeneity tests find that industrial promotion has a more significant effect on corporate innovation among small-scale firms and firms operating in highly competitive industries and regions characterized by high marketization. The empirical findings presented provide evidence for enhancing corporate innovation performance through industry promotion in China’s Five-Year Plans and offer insights that can refine the formulation of Five-Year Plans.

This study examines the effects of artificial intelligence on oil shocks (supply, demand, and risk shocks) across different time scales and market conditions, using the wavelet-based quantile-on-quantile approach. The empirical results have discovered that in the short term, artificial intelligence exerts significant negative impacts on supply and risk shocks, with these adverse effects gradually diminishing over time. Notably, artificial intelligence begins to positively influence supply shock in the medium to long term. In contrast, demand shock is initially positively affected, but these benefits diminish over time. The outcomes gained from this study not only give policymakers valuable insights for developing more precise energy policies, but also provide investors with nuanced market perspectives and risk assessments.

In this paper, we study the impact of digital finance on technological innovation in China's national high-tech development zones. We find that digital finance improves technological innovation in high-tech zones. Regarding digital financial coverage, usage, and support, the results still exist. Additional analysis suggests that when a high-tech zone faces severe financing constraints (in terms of higher local governmental debt and better development of credit markets), the impact of digital finance on technological innovation is more salient.

The use of All-Terrain Vehicles (ATVs) has gained considerable attention within the recreation industry. The incorporation of ATVs into tourism and recreational activities has demonstrated substantial economic potential for local economies. However, there is a lack of comprehensive knowledge regarding the economic impact of ATV recreation. This paper conducts an extensive review of existing literature from 2004 to 2022, evaluating the economic impact of ATVs on local economies in the United States. The review aims to identify commonalities and disparities among existing economic impact studies and assess whether these studies have included costs associated with ATV-induced environmental, societal, and public health damages in their economic assessments. To this end, there is a scarcity of scientific peer reviewed journal articles that exclusively focus on the economic impact of ATVs. As such, we reviewed a total of seven publications comprising reports. The results of our analysis shed light on similarities and differences in aspects of resident and non-resident ATV spending, type of ATV expenditures, and the approaches used to evaluate economic impact assessment. The findings indicate that existing studies have assessed the economic impact of ATVs solely based on gross expenditures, lacking comprehensive inclusion of the costs associated with ATV damages to the environment, society, and human health. This study advocates for the need for a more comprehensive consideration of both benefits and costs in the economic impact of ATVs to assist ATV business managers, policymakers, and researchers in making informed decisions and planning future programs.

The issue of food security has become a global challenge, and it is therefore crucial to seek measures to ensure food security. As an emerging economic model, the digital economy is regarded as the most effective tool for the modernization of agricultural development. As a large food-producing country, China faces serious problems of agricultural non-point source pollution and food loss and waste. The purpose of this study is to explore the impact of digital village construction on food security. We measure the level of digital village construction and food security by entropy method and use the spatial Durbin model to analyze them. In this paper, we found that digital village construction facilitates food security not only in the region but also in neighboring regions. In addition, we found that the promotion effect is significant in main grain producing regions, while the opposite result is found in non-main grain producing regions. We hold that the application of the digital economy in the countryside has played an obvious role in promoting food security in main grain producing provinces, and provides important experimental evidence for reference to ensure food security in the future.

The manufacturing sector must incorporate digitalization and greening as crucial strategies to attain high level of development in the context of the digital economy, given its significant role in quality of environment. Most of existing studies explore net effect of a single or several factors on the digitalization or greening in the manufacturing industry. Limited investigation has been done to integrate various factors impacting the connection and synchronized advancement of digitalization and greening within the manufacturing. Factors affecting the synergy of digitalization and green change within manufacturing are recognized in this article, and a theoretical framework is established to analyze. FsQCA tool is also put into use to survey configurational cases, which contains synergy degree of green digitalization from 30 provinces’ manufacturing in China. Results show that: (1) Between 2007 and 2020, the development level of digital-green integration in the manufacturing industry shows an upward trend. There are three types of collaborative modes, namely, "industrial robot driven" "market development driven" and "market development driven - industrial robot driven", with each mode consisting of at least one to four equivalent pathways. (2) The marketization level and application of industrial robots are the important external and internal pulling forces that drive the synergy degree of digitalization and green change within manufacturing industry, respectively.(3) The influencing factors of the collaborative mode choice of digital-green development within manufacturing industry are complementary, among which, the degree of marketization is similar to the role of industrial robots in the configuration, which are capable to weaken the negative impact from insufficient government R&D investment support under specific conditions; (4) The non-high collaborative state of digital green in manufacturing industry is mainly due to the low level of marketization, openness, and economic development, as well as the low application rate of industrial robots and software products. This study enriches the theoretical understanding on digitalization and green change of manufacturing industry. Meanwhile, it also provides insights to advance the integrated and synergistic advancement of digital green transformation in manufacturing practice.

Under the background of digital economy, global tax governance has become one of the important topics in today's world development and change. In recent years, new challenges, such as tax base erosion and profit transfer, and the imbalance of cross-border tax source division, have become prominent, forcing the reform of international tax rules and the reshaping of international tax order. Based on this, the article first deeply digs into the scale and cross-border characteristics of the spatial-temporal aggregation of the digital economy, and comprehensively evaluates its impact on the global tax governance pattern. After that, the article combs out the realistic picture and challenges of the current digital tax reform from the aspects of theoretical basis, basic principles and governance mechanism. Finally, based on China's basic national conditions, the article puts forward some institutional ideas and policy suggestions, with a view to improving China's participation, voice and influence in global tax governance, and also enabling governments, enterprises and residents of various countries to enjoy the fruits of world economic development fairly and promote the construction of Community of Shared Future for Mankind.

Non-labor income is a crucial factor influencing time allocation, and prior studies have primarily concentrated on the linear association between non-labor income and labor hours. Utilizing micro-survey data from the CFPS in 2018 and 2020 and employing the panel threshold model, this paper empirically identifies a double threshold with the wage rate as the threshold variable. This finding reveals a non-linear relationship between non-labor income and labor hours. The two thresholds categorize the relationship into three intervals. In the first interval, non-labor income significantly promotes labor hours, while in the second and third intervals, non-labor income significantly decreases labor hours, exhibiting slightly varying degrees of influence. In general, the relationship between non-labor income and labor hours demonstrates an irregular inverted U-shaped pattern. Upon dividing the workers in the sample into three groups based on the two thresholds, it is observed that wage rates exhibit a positive correlation with non-labor income.

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.