期刊：
International Journal of High Speed Electronics and Systems,2025年 ISSN：0129-1564
通讯作者：
Lei Li
作者机构：
[Lei Li; Liu-Qing Yue] School of Business, Hunan Agricultural University, Changsha, Hunan, P. R. China
通讯机构：
[Lei Li] S;School of Business, Hunan Agricultural University, Changsha, Hunan, P. R. China
关键词：
Digital transformation;agribusiness;total factor productivity;China
摘要：
This study examines the impact of artificial intelligence (AI)-driven digital transformation on the total factor productivity (TFP) of agricultural enterprises listed on the Shanghai and Shenzhen A-share markets from 2013 to 2023. The results show that AI-driven digital transformation significantly boosts TFP by enhancing governance and optimizing human capital. The effect is more pronounced in enterprises facing high market competition, environmental uncertainty, and relevant diversification. Managers with IT expertise amplify this positive effect, while those with agricultural backgrounds tend to weaken it. AI technologies, such as precision agriculture, automation, and data-driven decision-making, play a crucial role in improving operational efficiency and sustainability in the agricultural sector.
作者机构：
[Gao, Hanxiao; Zhou, Ping; Zhou, P; Li, Hailing; Lan, Yong] Hunan Agr Univ, Business Sch, Changsha 410125, Peoples R China.;[Zhang, H; Zhang, Hua] Cent South Univ, Business Sch, Changsha 410083, Peoples R China.;[Zhang, Hua; Li, Hailing] Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R China.
通讯机构：
[Zhou, P; Li, HL ] H;[Zhang, H ] C;Hunan Agr Univ, Business Sch, Changsha 410125, Peoples R China.;Cent South Univ, Business Sch, Changsha 410083, Peoples R China.
关键词：
Climate risk;Energy production and consumption;Quantile-based causality;Frequency-domain-based causality
摘要：
This study investigates the causal effects of three dimensions of climate risks—Climate Physical Risk (CPR), Climate Concern Index (CCI), and Climate Policy Uncertainty (CPU)—on global energy production and consumption across diverse market environments from January 2013 to October 2022. Employing the Causality-in-Quantile approach, it examines how climate risks impact energy markets' volatility. Additionally, Wavelet Analysis is employed to analyze the heterogeneous impacts of climate risks on energy production and consumption at different time scales. Key findings include: (1) Crude oil production is subject to climate risk under all market conditions, while renewable energy production is subject to climate risk only in stable markets. (2) CCI exerts broader and more significant impacts on energy production and consumption compared to CPR and CPU. (3) The frequency domain analysis reveals that climate risk affects crude oil production in the short term and coal production in the long term. This study enhances understanding of climate risk interactions with energy markets and provides empirical insights crucial for policy formulation and investment decisions in addressing climate change challenges, offering practical guidance for stakeholders.
This study investigates the causal effects of three dimensions of climate risks—Climate Physical Risk (CPR), Climate Concern Index (CCI), and Climate Policy Uncertainty (CPU)—on global energy production and consumption across diverse market environments from January 2013 to October 2022. Employing the Causality-in-Quantile approach, it examines how climate risks impact energy markets' volatility. Additionally, Wavelet Analysis is employed to analyze the heterogeneous impacts of climate risks on energy production and consumption at different time scales. Key findings include: (1) Crude oil production is subject to climate risk under all market conditions, while renewable energy production is subject to climate risk only in stable markets. (2) CCI exerts broader and more significant impacts on energy production and consumption compared to CPR and CPU. (3) The frequency domain analysis reveals that climate risk affects crude oil production in the short term and coal production in the long term. This study enhances understanding of climate risk interactions with energy markets and provides empirical insights crucial for policy formulation and investment decisions in addressing climate change challenges, offering practical guidance for stakeholders.
作者机构：
[Zhaojing Huang] College of Business, Hunan Agricultural University, Changsha, Hunan, China [email protected]
会议名称：
BDEIM '24: Proceedings of the 2024 5th International Conference on Big Data Economy and Information Management
摘要：
In the era of rapid development of information technology, all industries are embracing new opportunities for growth. In the area of marketing, artificial intelligence (AI) technology is widely used, and it is important for improving staff productivity and increasing the power of staffs. In the paper, we combine literature review, and empirical study to build a model of Digital Marketing Based on BP neural network, and study its application. Our experiment shows that digitalized marketing can offer audiences individualized services and products, on one hand, and the intelligent data analysis based can carry out the target audience aiming and personalized marketing strategies design on the other. At the last, this paper narrates the key importance and the contribution of the BP combining mode, and gives guidance for further promotion of the digital marketing industry.
通讯机构：
[Chen, SR ] H;[Zhang, LX ] S;Shanghai Acad Agr Sci, Shanghai, Peoples R China.;Hunan Agr Univ, Coll Business, Changsha, Peoples R China.
关键词：
educational expansion;health inequalities;healthy intergenerational transmission;higher education;individual health
摘要：
BACKGROUND: The relationship between higher education and individual health is important for improving regional human capital for health. Considering the differences in education system development and health infrastructure between China and developed countries, it is necessary to explore the specific impact of higher education expansion on individual health in China. METHODS: This study employs the cohort DID approach to examine how higher education expansion affects individual health, with a particular focus on its role in disrupting the intergenerational transmission of health, drawing data from the China Education Statistical Yearbook and the China Health and Retirement Longitudinal Study (CHARLS). RESULTS: Results show that higher education expansion promotes individual health improvements by enhancing academic qualifications and access to better employment opportunities, with urban dwellers, women and individuals from well-educated families receiving more benefits. Higher education expansion disrupts the intergenerational transmission of health, and younger individuals exposed to new academic and social environments tend to develop health-related beliefs and behaviors that differ from their family influences. CONCLUSION: This study provides insight into the social benefits of higher education, and furthermore offers a new perspective on addressing long-standing health inequalities.
摘要：
This study uses the implementation of the Environmental Fee-to-Tax Policies (EFTT) as a quasi-natural experiment to investigate its impact on green technology innovation (GTI) in the advanced manufacturing sector. Drawing on data from A-share listed firms in Shanghai and Shenzhen spanning 2011 to 2022, we apply a difference-in-differences (DID) method within this quasi-experimental setting. The results show the policy significantly boosts GTI. This effect is reinforced by local government subsidies, industry competition, media scrutiny, and executives' commitment to environmental goals. Crucially, we identify significant three-way interactions involving media attention: both the interactions of government subsidies with media attention, and industry competition with media attention, exhibit moderated moderating effects on the policy's impact. Heterogeneity analysis reveals that high-tech firms, companies in eastern regions, and those in resource-poor areas respond more strongly. These findings offer robust evidence from a quasi-natural experiment perspective. They provide valuable guidance for corporate green transformation strategies and inform the design of environmentally integrated tax reforms.
This study uses the implementation of the Environmental Fee-to-Tax Policies (EFTT) as a quasi-natural experiment to investigate its impact on green technology innovation (GTI) in the advanced manufacturing sector. Drawing on data from A-share listed firms in Shanghai and Shenzhen spanning 2011 to 2022, we apply a difference-in-differences (DID) method within this quasi-experimental setting. The results show the policy significantly boosts GTI. This effect is reinforced by local government subsidies, industry competition, media scrutiny, and executives' commitment to environmental goals. Crucially, we identify significant three-way interactions involving media attention: both the interactions of government subsidies with media attention, and industry competition with media attention, exhibit moderated moderating effects on the policy's impact. Heterogeneity analysis reveals that high-tech firms, companies in eastern regions, and those in resource-poor areas respond more strongly. These findings offer robust evidence from a quasi-natural experiment perspective. They provide valuable guidance for corporate green transformation strategies and inform the design of environmentally integrated tax reforms.
通讯机构：
[Tong, X ] S;Shanghai Univ Finance & Econ, 777 Guoding Rd, Shanghai 200433, Peoples R China.
关键词：
New farmer entrepreneurship;Entrepreneurial capability;Entrepreneurial learning;Configuration path;China
摘要：
With the comprehensive promotion of rural revitalization strategy, new farmers play an increasingly critical role in Chinese farmers' entrepreneurship. Taking 438 Chinese new farmers' entrepreneurship cases as samples, this study uses fsQCA method based on entrepreneurial learning and entrepreneurial capability theories to investigate the influences of exploratory learning, exploitative learning, opportunity capability, and resource capability on new farmers' entrepreneurial performance. Findings show that entrepreneurial learning and capability jointly affect new farmers' entrepreneurial performance. There are three configuration paths towards high entrepreneurial performance: resource capability path, exploratory learning and opportunity capability path, and the exploitative learning and opportunity capability path. The findings reveal the synergistic effects of entrepreneurial learning and capability on performance, and deepen the research on influencing mechanism and path of new farmers’ entrepreneurial performance.
With the comprehensive promotion of rural revitalization strategy, new farmers play an increasingly critical role in Chinese farmers' entrepreneurship. Taking 438 Chinese new farmers' entrepreneurship cases as samples, this study uses fsQCA method based on entrepreneurial learning and entrepreneurial capability theories to investigate the influences of exploratory learning, exploitative learning, opportunity capability, and resource capability on new farmers' entrepreneurial performance. Findings show that entrepreneurial learning and capability jointly affect new farmers' entrepreneurial performance. There are three configuration paths towards high entrepreneurial performance: resource capability path, exploratory learning and opportunity capability path, and the exploitative learning and opportunity capability path. The findings reveal the synergistic effects of entrepreneurial learning and capability on performance, and deepen the research on influencing mechanism and path of new farmers’ entrepreneurial performance.
期刊：
Environment, Development and Sustainability,2025年27(4):9357-9377 ISSN：1387-585X
通讯作者：
Chen, JY
作者机构：
[Dong, Xuesong] Hunan Agr Univ, Sch Business, Changsha 410083, Peoples R China.;[Chen, Jinyu; Huang, Jianbai] Cent South Univ, Sch Business, Changsha 410083, Peoples R China.;[Chen, Jinyu; Dong, Xuesong; Huang, Jianbai] Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R China.
通讯机构：
[Chen, JY ] C;Cent South Univ, Sch Business, Changsha 410083, Peoples R China.;Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R China.
关键词：
Metal consumption;Input-output analysis;Structural path analysis;Structural decomposition analysis
摘要：
The dependence of economic development on the metal resource is one of the challenges for developing countries. Given the enormous pressure of resource shortage in China, exploring the flow of metals between sectors is critical to achieve the Sustainable Development Goals. Based on the Chinese environmentally extended input–output (CEEIO) database from 1997 to 2017, the structural decomposition analysis (SDA) and the structural path analysis (SPA) models were combined to analyze the main driving factors and key paths of metal consumption in China. The results show that from 1997 to 2017, China’s economic development and metal consumption presented states of weak decoupling and expansion coupling. Capital formation, consumption expansion, and export expansion were main drivers of metal consumption. Sectors such as metal smelting, construction, and other manufacturing products consumed a large amount of metal directly or provide intermediate products for other sectors. In the future, the upstream and downstream links of the industrial chain should be managed according to the key path, so as to optimize the structure of intermediate products and final demand and realize metal resources conservation from production to consumption.
摘要：
Integration with rural tourism is an important way to achieve the sustainable development of ecological farms. Existing literature on the integration of agriculture and tourism lacks discussion from the microscopic farm level, making it difficult to capture the complex mechanisms of the integration of ecological farms and rural tourism. This paper attempts to address this problem by exploring the driving factors of the integration of ecological farms and rural tourism. The research aim of this paper is to construct a theoretical framework for driving the integration of ecological farms and rural tourism. We first conducted research on farms in four ecological agriculture demonstration zones: Ziquejie in Loudi, Hunan Province; Heshi in Shilin, Yunnan Province; Rongjiang in Dali, Yunnan Province; and Youxiqiao Village in Hunan Province. We interviewed 64 stakeholders in ecotourism and used grounded theory methods to construct a model and propose hypotheses. On this basis, a measurement scale was designed, and data was collected from 1041 Chinese ecological farms (ecological farm operators) using a structured questionnaire. The partial least squares structural equation model (PLS-SEM) was used to model and analyze the data to test the constructed model. The study found that higher market demand, regional economic level, intrinsic development needs, intrinsic resource endowments, technical support, and resource integration can promote the integration of ecological farms and rural tourism. Market demand and intrinsic development needs constitute the generative force of agritourism integration, while resource integration and intrinsic resource endowments constitute the development force of agritourism integration, and technical support and the regional economic level constitute the supporting force of agritourism integration.
关键词：
agricultural insurance;agricultural agglomeration;industrial integration;agricultural resilience;sustainable agricultural systems
摘要：
Agricultural insurance has achieved rapid development in China, but its role in enhancing agricultural resilience remains unclear. This article aims to fill this research gap by investigating the impact and mechanism of agricultural insurance on agricultural resilience from the perspectives of agricultural agglomeration and industrial integration. The empirical results demonstrate that agricultural insurance exerts a significant and positive influence on the resilience of agriculture, which remains valid even after accounting for endogenous factors through the application of two IV sets. Further mechanism analysis reveals that agricultural insurance primarily boosts agricultural resilience by encouraging horizontal agricultural agglomeration rather than vertical industrial integration. Nevertheless, the influence of agricultural insurance on agricultural resilience differs among regions. Specifically, its effect on agricultural resilience is markedly more pronounced in the eastern and central regions compared to the less-developed western regions. Moreover, its effect on the agricultural resilience in the main grain-producing areas is obviously stronger than that in the main grain-selling area and those with a balance between production and marketing.
摘要：
Examining the relationship between organic farming adoption (OFA) and subjective well-being (SW) is crucial for understanding farmers' adoption behavior regarding organic farming and the factors facilitating its dissemination. This paper utilizes a sample of 450 farmers from four counties in the Xiangxi Tujia and Miao Autonomous Prefecture of Hunan Province, China, to compare the SW of conventional and organic farmers. Based on the Millennium Ecosystem Assessment well-being framework, using the ordered probit model, we analyzed the mechanisms of OFA on the SW of organic farmers, including the subgroups of conversion farmers and certified farmers. The results indicated that organic farmers reported higher SW than conventional farmers. The positive effect of OFA on SW of organic farmers was not present in the conversion period but was statistically significant in the certification period. Farm profitability, health, environmental quality, and food safety were mediators of OFA on SW, although the mediating effects of health and food safety didn't apply to conversion farmers. Findings from this study provide information on how OFA affects SW, which can be useful for governments to develop supportive policies to attract conventional farmers and stabilize organic farmers to adopt organic farming.
摘要：
This study investigates the issues of manufacturers’ low-carbon technology investment strategies and their impacts while considering innovation uncertainty in a competitive market. We build game theoretical models to analyze various low-carbon technology investment formats. The findings reveal that manufacturers’ investment decisions are heavily influenced by the success probability of research and development (R&D), the intensity of competition, and consumers’ low-carbon awareness. It also shows that, under certain circumstances, a manufacturer’s R&D behavior can benefit its rival supply chain. Then, we derive the conditions under which low-carbon technology R&D or technology purchases will be selected. Surprisingly, both manufacturers adopt the same type of investment method. This implies that uncertainty in innovation is not a barrier to investing in low-carbon technology R&D. However, bilateral R&D on low-carbon technology may harm competitive supply chains. This study sheds light on how enterprises can make best decisions regarding low-carbon technology investments while considering green development.
This study investigates the issues of manufacturers’ low-carbon technology investment strategies and their impacts while considering innovation uncertainty in a competitive market. We build game theoretical models to analyze various low-carbon technology investment formats. The findings reveal that manufacturers’ investment decisions are heavily influenced by the success probability of research and development (R&D), the intensity of competition, and consumers’ low-carbon awareness. It also shows that, under certain circumstances, a manufacturer’s R&D behavior can benefit its rival supply chain. Then, we derive the conditions under which low-carbon technology R&D or technology purchases will be selected. Surprisingly, both manufacturers adopt the same type of investment method. This implies that uncertainty in innovation is not a barrier to investing in low-carbon technology R&D. However, bilateral R&D on low-carbon technology may harm competitive supply chains. This study sheds light on how enterprises can make best decisions regarding low-carbon technology investments while considering green development.
关键词：
livestock publicly listed company;green total factor productivity;dynamic QCA;configuration analysis
摘要：
Improving the green total factor productivity (GTFP) of publicly listed companies in the livestock sector is essential for achieving sustainable and high-quality development in China's agricultural industry. This study proposes an integrated analysis framework for the advancement of GTFP, focusing on internal resource allocation and external business environment configurations. Using panel data from 32 publicly listed companies in China's livestock sector covering the period 2016 to 2021, we apply the dynamic qualitative comparative analysis (QCA) and necessary condition analysis (NCA) methodologies to explore the configuration pathways for multiple factors that influence GTFP, aiming to identify the mechanisms that drive these pathways in publicly listed livestock companies. The findings reveal that individual antecedent conditions are not essential for achieving high green total factor productivity (GTFP) in firms. Rather, internal and external factors jointly facilitate GTFP enhancement, resulting in three distinct configurational pathways that share the equivalence of "diverse configuration pathways leading to the same objective". Over time, the consistency level of each configuration pathway fluctuates above 0.94, demonstrating their stability over the study period. In terms of individual companies, the explanatory power of each configuration remains uniform across enterprises, exhibiting no significant differences. This study expands the scope of GTFP-related research and advances the application of the dynamic QCA method. It also provides enlightenment for policymakers to refine sectoral regulations and for companies seeking strategies to improve GTFP.
期刊：
ENTREPRENEURSHIP RESEARCH JOURNAL,2025年 ISSN：2194-6175
通讯作者：
Zhou, YF
作者机构：
[He, Duojia; Zhou, Yufei] Hunan Agr Univ, Business Sch, Changsha 410128, Hunan, Peoples R China.
通讯机构：
[Zhou, YF ] H;Hunan Agr Univ, Business Sch, Changsha 410128, Hunan, Peoples R China.
关键词：
tea farmers;tea farmer entrepreneurship;entrepreneurial performance of tea farmers;fuzzy set qualitative comparative analysis (fsQCA)
摘要：
In recent years, the entrepreneurial activities of tea farmers have experienced rapid development, driven by the rural revitalization strategy. In this study, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to analyze the key factors and configurations influencing the entrepreneurial performance of tea farmers in the central and western regions of Hunan Province. The findings reveal that no single variable is necessary for either high or non-high entrepreneurial performance. High entrepreneurial performance is achieved through three distinct pathways: willingness-opportunity-driven, willingness-team-opportunity-driven, and team-opportunity-driven. Conversely, non-high entrepreneurial performance is associated with two unfavorable pathways: willingness-opportunity-resource inhibition and opportunity-resource inhibition. It is recommended that tea farmer entrepreneurs proactively enhance their opportunity identification abilities and actively align with national policies. Additionally, the government should formulate and implement talent attraction policies, ensure effective policy execution, create a supportive entrepreneurial environment for tea farmers, and establish relevant institutions to improve their knowledge and skills.
摘要：
Using a novel Chinese gambler conviction database to proxy the local gambling preference, we examine the impact of gambling preference on the disclosure of key audit matters (KAMs). Our findings suggest that the number of KAMs is significantly greater for firms in cities with a strong gambling preference than for firms in cities with a weak gambling preference. Our results are consistent with the view that firms located in areas with a sin culture may improve the quality of their financial reports to overcome their stigmatized image. Additional analysis suggests that large audit firms, shorter audit terms, and closer audit-client distance strengthen the positive relationship between the gambling preference and the disclosure of KAMs. Namely, audit firms with a good reputation, strong independence, and information advantages play a more significant role in “destigmatization”. Finally, we show that auditors charge more audit fee and exert more audit effort towards clients located in areas with a strong gambling preference. This finding suggests that attempts by firms that are affected by a sin culture to achieve “destigmatization” by improving the quality of their financial reports are also costly.
摘要：
In recent years, "black swan" events have increasingly occurred across climate, epidemics, geopolitics, and economics, leading to a gradual coupling of different types of risk. Different from isolated shocks as a single type of risk affecting a specific industry, a nexus of risks allows one risk area to quickly relate to others, resulting in more catastrophic impacts. Utilizing an integrated framework, we investigate the contagion effects among climate policy uncertainty, the infectious disease equity market volatility tracker, geopolitical risk, and economic policy uncertainty using volatility, skewness, and kurtosis as risk measures. The results indicate that: (1) The contagion effect of different types of risk increases with higher order risk measures, suggesting that more extreme events are more likely to be contagious across domains. (2) Approximately two-thirds of risk contagion occurs contemporaneously, while about one-third occurs with a lag, indicating that risk contagion combines both immediacy and continuity. (3) Risk contagion exhibits significant time-varying and heterogeneous characteristics. Our study elucidates the inherent contagion characteristics between different types of risk, transforming the understanding of risk from a one-dimensional to a multidimensional perspective. This underscores that risk management should not be confined to a single domain; it is crucial to consider the potential impacts of risks from other industries on one's own.
作者机构：
[Zhang, Xian; Wang, Zongjun; Song, Xiying] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China.;[Huang, Jinrong] Hunan Agr Univ, Business Sch, Changsha 410128, Peoples R China.
通讯机构：
[Huang, JR ] H;Hunan Agr Univ, Business Sch, Changsha 410128, Peoples R China.
关键词：
AI adoption;radical innovation;digital foundation;government subsidy;TOE framework
摘要：
Over the past decade, artificial intelligence (AI) has been increasingly used in firm innovation. While AI has contributed to innovation improvement, direct evidence of its effectiveness in radical innovation is limited. This study fills this gap by empirically investigating the impact of AI on radical innovation and how this relationship is shaped by digital foundation and government subsidy from the perspectives of technological synergy and the external institutional environment. Using panel data from Chinese A-share listed firms from 2007 to 2023, this study empirically tests hypotheses through regression analyses. The findings reveal that AI adoption significantly promotes radical innovation, and this relationship is moderated by the characteristics of a firm's digital foundation (i.e., degree and rate) as well as government subsidy. Specifically, a high degree of digital foundation hinders AI-driven radical innovation, while a fast rate enhances it. In addition, government subsidy strengthens the positive impact of AI adoption on radical innovation. A heterogeneity analysis further shows that both the timing (early vs. late) and pace (fast vs. slow) of AI adoption exert nuanced impacts: firms that adopt AI later and at a slower pace tend to achieve greater gains in radical innovation. This study advances research on radical innovation in the era of intelligence and provides managerial implications regarding the interplay of AI with internal digital foundation and external government subsidy.
作者机构：
[Mo, Ming; Wen, Zheng; Mo, M] Hunan Agr Univ, Coll Business, Changsha 410128, Peoples R China.;[Wen, Zheng] Hunan Post & Telecommun Coll, Modern Post Coll, Changsha 410015, Peoples R China.;[Xu, Jin] Hunan Agr Univ, Coll Econ, Changsha 410128, Peoples R China.
通讯机构：
[Mo, M ] H;Hunan Agr Univ, Coll Business, Changsha 410128, Peoples R China.
关键词：
digital transformation;rural elderly services;smart senior care;evolutionary game;simulation analysis
摘要：
Amid accelerating population aging and the rapid evolution of digital technologies, the digital transformation of rural elderly care services has become a pivotal strategy for restructuring the rural elderly care system. This study identified the local government, rural elderly care service centers, and the elderly population as the principal stakeholders, and developed a tripartite evolutionary game-theory model to examine the dynamic strategic interactions among these actors under the influence of digital technologies. The model further investigated the evolutionary trajectories and equilibrium conditions of their behavioral strategies. Numerical simulations conducted via MATLAB were employed to validate and visualize the model outcomes. The findings revealed the following. (1) The evolutionary equilibrium of digital elderly care service development in rural areas is jointly determined by the strategic choices of the three parties, with its stability shaped by a complex interplay of cost structures, incentive mechanisms, and utility outcomes. (2) Cost factors exhibit heterogeneous effects across stakeholders. Specifically, excessive regulatory costs diminish the performance incentives of local governments, digital infrastructure and operational expenditures influence service centers' capacity for precision-oriented service delivery, and the participation of the elderly is constrained by affordability thresholds. (3) Local government behavior demonstrates a pronounced sensitivity to incentives. In particular, rewards and social reputation conferred by higher-level governmental bodies exert a significantly stronger influence than punitive measures. (4) Government subsidies for digital transformation enhance cross-stakeholder synergy through dual transmission channels. Nonetheless, excessive subsidies may escalate fiscal risk, while moderately calibrated penalty mechanisms effectively curb moral hazard within service centers. This study advances theoretical understanding of multi-stakeholder coordination in the context of digitally enabled rural elderly care and provides actionable insights for policymakers aiming to formulate interest-aligned strategies and construct resilient, intelligent governance systems for elderly care.
作者机构：
[Ming Mo; Lidanting Zeng] School of Business, Hunan Agricultural University, Changsha, 410128, China
通讯机构：
[Ming Mo] S;School of Business, Hunan Agricultural University ,Changsha 410128, China
关键词：
Innovation efficiency;Malmquist model;Seed companies;Two stage DEA model;fsQCA
摘要：
Seed industry plays a pivotal role in the advancement of national agricultural growth, with seed companies serving as the primary drivers of seed production. The existence of seed companies with the ability to integrate innovation and adapt to market demand plays a crucial role in a nation's capacity to ensure food security over time. This study utilizes micro-data from listed seed companies in China spanning the years 2019 to 2023 to conduct a comprehensive analysis of enterprise innovation efficiency. The research aims to identify strategies for enhancing innovation efficiency and ultimately fostering development within these seed companies. The findings indicate that: (1) The general level of innovation efficiency among listed seed companies in China exhibits significant potential for enhancement, with technology research and development stage demonstrating higher efficiency levels compared to stage of achievement transformation; (2) The enhancement of innovation efficiency in listed seed companies does not rely solely on any individual factor, but rather necessitates the combined influence of two or more antecedent variables; (3) Listed seed companies in China can enhance their innovation capability through five key approaches: employee-centric, talent and management-focused, talent and scale diversity-driven, talent and government collaboration, and talent and diversity enhancement strategies. The findings presented in this paper are expected to enhance the innovation efficiency of seed companies and offer both policy recommendations and practical guidance for fostering seed industry.
Seed industry plays a pivotal role in the advancement of national agricultural growth, with seed companies serving as the primary drivers of seed production. The existence of seed companies with the ability to integrate innovation and adapt to market demand plays a crucial role in a nation's capacity to ensure food security over time. This study utilizes micro-data from listed seed companies in China spanning the years 2019 to 2023 to conduct a comprehensive analysis of enterprise innovation efficiency. The research aims to identify strategies for enhancing innovation efficiency and ultimately fostering development within these seed companies. The findings indicate that: (1) The general level of innovation efficiency among listed seed companies in China exhibits significant potential for enhancement, with technology research and development stage demonstrating higher efficiency levels compared to stage of achievement transformation; (2) The enhancement of innovation efficiency in listed seed companies does not rely solely on any individual factor, but rather necessitates the combined influence of two or more antecedent variables; (3) Listed seed companies in China can enhance their innovation capability through five key approaches: employee-centric, talent and management-focused, talent and scale diversity-driven, talent and government collaboration, and talent and diversity enhancement strategies. The findings presented in this paper are expected to enhance the innovation efficiency of seed companies and offer both policy recommendations and practical guidance for fostering seed industry.
期刊：
Technological Forecasting and Social Change,2025年217:124169 ISSN：0040-1625
通讯作者：
Yi, CQ
作者机构：
[Yang, Lulu; Yang, Yimin; Dong, Xuesong; Li, Hailing; Yi, Chaoqun] Hunan Agr Univ, Business Sch, Changsha 410128, Hunan, Peoples R China.;[Wang, Zilong] Chinese Acad Social Sci, Inst Ind Econ, Beijing 100006, Peoples R China.
通讯机构：
[Yi, CQ ] H;Hunan Agr Univ, Business Sch, Changsha 410128, Hunan, Peoples R China.
关键词：
Green supply chain;Artificial intelligence (AI);Technology adoption;Social welfare
摘要：
This paper investigates the retailer’s artificial intelligence (AI) adoption strategies in the green supply chain involving a manufacturer and a retailer. We demonstrate that the decision to introduce AI is influenced by the retailer’s estimation of the consumers’ green preference (CGP) without AI as well as the unit adoption cost of AI. Specifically, irrespective of whether the retailer underestimates or overestimates the CGP without AI, as the estimation bias increases, the retailer becomes more inclined to adopt AI; however, an increase in the unit adoption cost will discourage adoption. Furthermore, we find that if the retailer underestimates the CGP without AI, adopting AI may negatively impact the profits of both the manufacturer and the supply chain, as well as the greenness level, while simultaneously enhancing social welfare. Conversely, if the CGP is overestimated, adopting AI can improve the manufacturer’s profit and the supply chain’s profit but decrease the greenness level and potentially harm social welfare. We extend the model by considering the prediction accuracy of AI, demonstrating that as the prediction accuracy increases, the retailer who underestimates the CGP without AI becomes more inclined to adopt AI; however, this may not hold under certain conditions if the CGP is overestimated.
This paper investigates the retailer’s artificial intelligence (AI) adoption strategies in the green supply chain involving a manufacturer and a retailer. We demonstrate that the decision to introduce AI is influenced by the retailer’s estimation of the consumers’ green preference (CGP) without AI as well as the unit adoption cost of AI. Specifically, irrespective of whether the retailer underestimates or overestimates the CGP without AI, as the estimation bias increases, the retailer becomes more inclined to adopt AI; however, an increase in the unit adoption cost will discourage adoption. Furthermore, we find that if the retailer underestimates the CGP without AI, adopting AI may negatively impact the profits of both the manufacturer and the supply chain, as well as the greenness level, while simultaneously enhancing social welfare. Conversely, if the CGP is overestimated, adopting AI can improve the manufacturer’s profit and the supply chain’s profit but decrease the greenness level and potentially harm social welfare. We extend the model by considering the prediction accuracy of AI, demonstrating that as the prediction accuracy increases, the retailer who underestimates the CGP without AI becomes more inclined to adopt AI; however, this may not hold under certain conditions if the CGP is overestimated.
