摘要：
Taking advantage of a 2005-2018 sample of 86 Chinese steel enterprises (CSEs) and the difference-in-differences method, this paper utilizes the carbon emissions trading scheme (ETS) - as a quasi-natural experiment to investigate the impact of the carbon ETS on the total factor pollution control efficiency (TFPCE) of CSEs to test the green development effect of the carbon ETS. Then, the green development effect of the carbon ETS is empirically tested by a variety of robustness tests, such as DDD and PSM-DID. The results show that the carbon ETS policy significantly improves the TFPCE of CSEs located in the pilot area, generating the green development effect, and that this the annual effect lags by one year. Additionally, the channel analysis from the perspective of enterprise internal management and the external environment shows that strategic innovation, substantive innovation and institutional quality play a positive role in enhancing pollution control performance respectively. The heterogeneity test shows that the green development effect is better for state-owned CSEs and CSEs located in the eastern and central China. The conclusion has significant implications for green and low-carbon development in heavy pollution industries and has implications for further promoting the implementation of market-oriented environmental regulations.
通讯机构：
[Wenli Liu] S;School of Business, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
As an effective talent selection and performance management method in enterprises, can the competency model also play an essential role in farm cooperatives? Limited research currently focuses on improving farm cooperatives' performance through agricultural managers' competency. Our study takes the initiative to create the "agricultural manager competency model," which includes five competency dimensions: knowledge and technology, personal capabilities, career orientation, personality traits, and intrinsic drive. On this basis, the multiple competencies are analyzed by the fuzzy set qualitative comparative analysis(fsQCA). We found that agricultural managers improve the performance of farm cooperatives. There are four paths to generate high performance, which summarize three types of agricultural managers: technical career, managerial career, and integrated entrepreneurial.
关键词：
organic farming;drivers;farmers;Theory of Planned Behavior;China
摘要：
Adoption decision is an important topic in organic farming research. In order to understand farmers' decision-making, it is necessary to delve into the factors influencing their behavior. Some studies have used social psychology models to explore the adoption intention of farmers in specific locations regarding organic farming, but there is a lack of investigation into the differences in driving factors for adoption intention among farmers in the pre-organic conversion (conventional), mid-conversion (conversion), and post-conversion (certified) stages, as well as the examination of the relationship between intention and behavior. This study aims to address this issue by examining the driving factors of Chinese farmers' adoption of organic farming practices. We established a theoretical framework based on the Theory of Planned Behavior (TPB) and applied Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze intention data collected from 432 farmers and behavior data collected one year later. The study found that attitude, perceived behavioral control, subjective norms, and descriptive norms positively drive the intention to adopt organic farming. In addition to intention being a determinant of behavior, farm size also positively influences behavior. The strength of the impacts of subjective norms on intention and farm size on behavior differs between conventional farmers and conversion farmers. The common driving chain of "attitude -> intention -> behavior" exists in the organic adoption decision of conventional, conversion, and certified farmers. Our findings suggest that the public sector can attract conventional farmers to transition to organic and stabilize existing practitioners of organic agriculture practices by considering the differences in driving factors when formulating intervention policies.
