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.
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.
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;Seed companies;Two stage DEA model;Malmquist 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.
作者机构：
[Liu, Shun Jia] Hunan Agr Univ, Sch Business, Changsha, Peoples R China.;[Zhu, Xiaoqian; Li, Jianping] Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China.;[Zhu, Xiaoqian; Li, Jianping] UCAS, MOE Social Sci Lab Digital Econ Forecasts & Policy, Beijing, Peoples R China.;[Wu, Dengsheng] Chinese Acad Sci, Inst Sci & Dev, Beijing, Peoples R China.;[Xu, Xin Long] Hunan Normal Univ, Coll Tourism, Changsha, Peoples R China.
通讯机构：
[Xin Long Xu] C;College of Tourism, Hunan Normal University, Changsha, China<&wdkj&>Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China
摘要：
<jats:title>Abstract</jats:title><jats:p>Existing studies on the environmental Kuznets curve (EKC) neglect the inverse effect of pollution transfer from environmental regulation interactions on pollution reduction from a risk analysis perspective. Based on the regional differentiated attitudes on the environmental regulation reached in risk communication by the risk awareness biases of multiple interest groups, this article clarifies the causality between risk communication and risk transfer based on multistakeholder engagement processes; furthermore, the article incorporates the simultaneous action of the technological innovation effect and pollution risk transfer effect to construct a spatial environmental hyperbolic model with a bidirectional correlation between pollution emissions and economic growth in different regions. To verify our model, we select the pollution from agricultural watersheds in China as a sample to examine the two inverse effects. The results demonstrate that (1) agricultural watershed pollution and economic growth show an inverted U‐shaped relation and a U‐shaped relation in the local region and adjacent regions, respectively; (2) the pollution reduction assessment of the classical EKC model can be largely attributed to pollution risk transfer behavior; and (3) the turning point of the U‐shaped curve appears earlier than that of the inverted U‐shaped curve in the spatial hyperbola model. The findings suggest that stakeholders should consider the risk awareness bias caused by the imbalance of regional economic development and the scenarios that provide a “haven” for pollution risk transfer. Moreover, our study expands the theoretical connotation of the classical EKC hypothesis and is more suitable for pollution reduction scenarios in developing countries.</jats:p>
关键词：
green agricultural products;environmental information disclosure of origin;consumer trust;purchase intention
摘要：
Investigating the correlation between information disclosure and consumers' purchasing decisions is crucial for comprehending consumer behavior mechanisms and stimulating their buying behavior. Drawing upon signaling theory and the "stimulus-organism-response" (S-O-R) model, this research leverages questionnaire responses from 338 consumers. It utilizes Structural Equation Modeling (SEM) to investigate the influence and fundamental mechanisms of environmental information disclosure, consumer trust (competence, benevolence, and integrity), and online purchase intention of green agricultural products. The antecedents required for online purchase intention are identified through the Necessary Condition Analysis (NCA). This research shows that the disclosure of environmental information regarding the origins of green agricultural products positively impacts the purchase intention, with competence trust and benevolence trust being identified as playing intermediary roles in this relationship, while integrity trust does not play a significant mediating role. The disclosure of environmental information about a product's origin is a necessary condition influencing consumers' purchasing decisions. Merchants are encouraged to proactively disclose more environmental information regarding green agricultural products and advised to focus on maintaining competence trust and benevolence trust to enhance consumers' purchase intentions, thereby fostering the advancement of green consumption.
作者机构：
[Shufeng Qin] School of Business, Hunan Agricultural University, Changsha, People's Republic of China;[Yongqing Xiong] School of Business, Central South University, Changsha, People's Republic of China
通讯机构：
[Yongqing Xiong] S;School of Business, Central South University, Changsha, People's Republic of China
关键词：
innovative city pilot policy;new agricultural entrepreneurs;entrepreneurship level;policy effect assessment;double-difference
摘要：
Rural entrepreneurship has injected new vitality into the comprehensive realization of rural revitalization, and exploring the impact of urban innovation and development on rural entrepreneurship is of great significance in promoting the comprehensive revitalization of the countryside and achieving the coordinated development of urban and rural areas. This paper utilizes the panel data of 284 cities in China from 2005 to 2020 and adopts the multi-period double-difference method to test the effect of innovative city pilots on the entrepreneurial level of new agricultural management subjects, so as to reflect the impact of innovation policy on rural entrepreneurship. The study finds that innovative city construction significantly improves the entrepreneurship level of new agricultural business subjects and that the policy effect continues to increase over time, which is still robust after considering endogeneity issues. The above effects are mainly achieved through improving scientific and technological inputs, enhancing credit support effects, and promoting scientific and technological progress. In the heterogeneity test, innovative city construction significantly promotes the entrepreneurship level of new agricultural business subjects in both small and medium-sized cities and cities with a high level of science and education, but significantly inhibits the entrepreneurship level of new agricultural management subjects in large cities and cities with a high level of science and education. At the same time, innovative city development promotes higher levels of entrepreneurship only in agricultural cooperatives and agribusinesses, with no significant effect on family farms. This study has important policy references for accelerating innovative city construction and rural revitalization development in China in the new era.
