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.
通讯作者：
Xin Long Xu<&wdkj&>Xin Long Xu Xin Long Xu Xin Long Xu
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; Xin Long Xu Xin Long Xu 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
