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：
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.
摘要：
Decarbonizing innovation plays a significant role in curbing carbon emissions, allowing a firm to meet governmental environmental regulations and gain a competitive edge. However, innovation uncertainty and technology spillovers deter a firm from doing so. This paper studies the issue of firms' decarbonizing innovation investment in a competing market under carbon emission regulation. We construct game-theoretic models of two competing supply chains, each consisting of a manufacturer and a retailer. Either manufacturer has the opportunity to invest in decarbonizing innovation, but she may fail in the end. According to the manufacturers' innovation investment decisions, several subcases with no investment, unilateral decarbonizing investment, and bilateral decarbonizing investment are explored. The results show that when both manufacturers have a strong absorbing capacity, neither invests in decarbonizing innovation; when they are weak in absorbing external technology, bilateral decarbonizing investment exists. The findings also reveal that unilateral decarboning investment dominates when the probability of innovation success is moderate. There is a case in which both manufacturers do not conduct decarbonizing investment, although the probability of innovation success is high. In addition, we also find that a retailer can make more profit if his upstream manufacturer invests in decarbonizing innovation than in the no-investment scenario. However, he is harmed by bilateral decarbonizing investment if his upstream manufacturer is weak in absorbing external knowledge relative to the case of unilateral decarbonizing investment. Our results elucidated how technology spillovers and the stochastic nature of innovation affect a manufacturer's decarbonizing innovation investment strategy in a competitive environment.
期刊：
Environment, Development and Sustainability,2024年 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：
The search for cost-effective, high-performance catalysts is crucial in catalytic co -pyrolysis. Different Fe-Mo@X catalysts (X = Al2O3, MgO) and reaction temperatures (600 degrees C, 700 degrees C, 800 degrees C, 900 degrees C) were tested to optimize hydrogen production and carbon quality while also exploring CNTs degradation performance. The results indicate that both catalyst type and operating parameters are highly dependent on the growth of carbon nanotubes and hydrogen. The FeMo@Al2O3 catalyst exhibits superior catalytic activity attributed to its more abundant mesoporous structure and higher specific surface area. Specifically, FeMo@Al2O3 achieved the highest yield of carbon nanotubes (84.42%) at 700 degrees C, and attained the maximum hydrogen yield (49.57%) at 900 degrees C. However, the CNTs synthesized from FeMo@MgO exhibited fewer defects, higher graphitization degree and purity (Raman and TPO). CNTs/MgO significantly enhanced the degradation efficiency of Clothianidin by virtue of their superior electron transport properties and chemical bonding between MgO and CNTs.
通讯机构：
[Wei Hou; Wei Hou Wei Hou Wei Hou] C;College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, P.R. China
摘要：
I was invited to make a brief commentary on a recent article titled “Determining Spatially Varying Profit-Maximizing Management Practices for Miscanthus and Switchgrass Production in the Rainfed United States” published in GCBB by Zhang et al. (2022). In the work, they propose management practices to maximize profitability through economically optimal N fertilizer application, temporal and spatial variation, and optimal age rotation of two energy crops. This interesting and thoroughly investigated result would be instructive for the applications of perennial energy crops.
关键词：
E -commerce platforms;Supply chains;Green capability;Information asymmetry;Signaling;Green certification
摘要：
With the rise of environmentally conscious consumers in the digital age, e-commerce platforms have a significant potential to promote green products through marketing. However, these platforms may face information asymmetry regarding the green production and operational capabilities of their manufacturing suppliers, which could hinder optimal marketing efforts. This study explores how manufacturers with high green capabilities can signal their private information to platforms to receive more green marketing support. We first analyze the traditional signaling mechanism using wholesale prices and then examine how the addition of green certification can facilitate the signaling process. We derive the supply chain equilibria under both signaling mechanisms. Our results show that a single wholesale price signal can substantially distort the manufacturer's wholesale price upward, leading to a significant deviation of the retail platform's pricing and marketing decisions from the optimal levels in a symmetric information scenario. However, adding green certification signals can mitigate this undesirable distortion and reduce the efficiency lost due to information asymmetry. Both signaling mechanisms can exacerbate the double marginalization effect, which can be mitigated to a smaller extent by adding green certification in the signaling contract. Our study highlights the signaling role of green certification in the supply chain and sheds light on the practical value of adopting green certifications.
摘要：
This paper focuses on optimizing the long- and short-term planning of the perishable product supply chain network (PPSCN). It addresses the integration of strategic location, tactical inventory, and operational routing decisions. Additionally, it takes into consideration the specific characteristics of perishable products, including their shelf life, inventory management, and transportation damages. The main objective is to minimize the overall supply chain cost. To achieve this, a nonlinear mixed integer programming model is developed for the multi-echelon, multi-product, and multi-period location-inventory-routing problem (LIRP) in the PPSCN. Two hybrid metaheuristic algorithms, namely genetic algorithm (GA) and multiple population genetic algorithm (MPGA), are hybridized with variable neighborhood search (VNS) and proposed to solve this NP-hard problem. Moreover, a novel coding method is devised to represent the complex structure of the LIRP problem. The input parameters are tuned using the Taguchi experimental design method, considering the sensitivity of meta-heuristic algorithms to these parameters. Through experiments of various scales, the hybrid MPGA with VNS indicates superior performance, as evidenced by the experimental results. Sensitivity analysis is conducted to examine the influence of key model parameters on the optimal objective, providing valuable management implications. The results clearly validate the efficacy of the proposed model and solution method as a reliable tool for optimizing the design problem of the PPSCN.
通讯机构：
[Zhenggang Xu; Yunlin Zhao] A;Authors to whom correspondence should be addressed.<&wdkj&>Hunan Research Center of Engineering Technology for Utilization of Environmental and Resources Plant, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Key Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry, Northwest A&F University, Yangling 712100, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>Hunan Research Center of Engineering Technology for Utilization of Environmental and Resources Plant, Central South University of Forestry and Technology, Changsha 410004, China
关键词：
Penicillium;heavy metal pollution;Cd;Sb;biosorption
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.
关键词：
family farm;financing willingness and behavior;Internet of Things;SEM model;water resource financing
摘要：
At present, China's rural water resources are in short supply and the water pollution situation is severe. Family farms are an important part of China's agricultural modernization, and their development level is an important indicator to measure the degree of modernization of a country and a region. The application of agricultural Internet of Things technology in the field of agriculture is helpful to solve the problem of water shortage in family farms in water shortage areas. Based on the questionnaire data, this paper used structural equation modeling (SEM) to study the relationship between family farm water financing willingness and behavior. The results showed that the standardization coefficients of Assumption 1, Assumption 2 and Assumption 3 were 0.332, 0.267 and 0.311, respectively. It can be seen that the water resource financing willingness of family farms was greatly affected by their water-saving technology ability, water management ability and government policy support. However, the standardization coefficient of Assumption 5 was 0.087. It can be seen that the water management capacity had no significant impact on the water resource financing behavior, and the water resource financing behavior of family farms was mainly affected by their water-saving technical capacity and government policy support.
作者机构：
[Xiong, Xiaoling; Li, Jizhi] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Lin, Zejian; Xiong, Xiaoling] Inst Subtrop Agr, Chinese Acad Sci, Changsha 410125, Peoples R China.
通讯机构：
[Jizhi Li] S;School of Business, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
heavy metal-contaminated cultivated land remediation;conflict of interest;evolutionary game;ladder multiple supervision
摘要：
The heavy metal pollution of cultivated land in China is severe, requiring remediation. Introducing third-party governance subjects representing market resources is inevitable to realize the specialization and socialization of cultivated land remediation. However, due to the public nature of cultivated land, the confusion about participating parties’ responsibilities and difficulty coordinating interests restrict the expected effect of cultivated land remediation. To this end, a three-party evolutionary game model among the grassroots government, governance enterprises, and supervisory enterprises is constructed and virtually simulated, taking into account the influence of random checks by the higher-level government. We found that the reward and punishment mechanism of the grassroots government, the frequency of random inspection by the higher-level government, and the amount of deduction will influence the strategy selection of the participating parties. Strengthening the awareness of the responsibility of the grassroots government, optimizing the incentive system, establishing a regular spot-check system, and improving the cost of non-compliance by enterprises can effectively resolve conflicts of interest among the participants. The study results have practical significance for further enhancing the remediation efficiency of heavy metal-contaminated cultivated land.
关键词：
behavior intention;Theory of Planned Behavior (TPB);Technology Acceptance Model (TAM);Innovation Diffusion Theory (IDT);Motivational Model (MM)
摘要：
Green control techniques (GCT) are an important supporting technology to ensure sustainable agricultural development. To advance the adoption of GCT, it is crucial to understand the intention of farmers to adopt GCT and its related determinants. However, current research is mostly limited to using a single theoretical model to explore farmers' intentions to adopt GCT, which is not conducive to revealing the determinants of farmers' intentions to adopt GCT. To address this gap, this study integrates the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM), the Innovation Diffusion Theory (IDT), and the Motivational Model (MM) based on research data from 362 rice farmers in Heshan District, Yiyang City, Hunan Province, and uses partial least squares structural equation modeling (PLS-SEM) to empirically test and compare the above models. The model comparison results prove that the TPB (R-2 = 0.818, Q(2) = 0.705), TAM (R-2 = 0.649, Q(2) = 0.559), IDT (R-2 = 0.782, Q(2) = 0.674), and MM (R-2 = 0.678, Q(2) = 0.584) models all have explanatory power and predictive validity in the context of green control techniques. However, the integrated model (R-2 = 0.843, Q(2) = 0.725) is found to be superior to these individual theoretical models because it has larger values of R-2, Q(2), and smaller values of Asymptotically Efficient, Asymptotically Consistent, and provides a multifaceted understanding for identifying the factors influencing adoption intentions. The results of the path analysis show that attitude, perceived behavioral control, perceived usefulness, subjective norm, and visibility significantly and positively influence adoption intentions in both the single and integrated models and are determinants of farmers' intentions to adopt GCT.
通讯机构：
[Kuangyuan Pei] S;School of Business, Hunan Agriculture University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
期刊：
Water Resources Research,2022年58(7):e2021WR030746- ISSN：0043-1397
通讯作者：
Xin Long Xu
作者机构：
[Liu, Shun Jia] Hunan Agr Univ, Sch Business, Changsha, Peoples R China.;[Li, Jianping] Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China.;[Xu, Xin Long] Hunan Normal Univ, Coll Tourism, Changsha, Peoples R China.;[Xu, Xin Long] Jishou Univ, Business Sch, Jishou, Peoples R China.;[Xu, Xin Long] Chinese Acad Sci, Inst Sci & Dev, Beijing, Peoples R China.
通讯机构：
[Xin Long Xu] C;College of Tourism, Hunan Normal University, Changsha, China<&wdkj&>Business School, Jishou University, Jishou, China<&wdkj&>Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
摘要：
The turning point in the classic environmental Kuznets curve (EKC) fails to identify the pollution risk transfer effect. Based on the interactions of environmental regulations among local governments, this paper decomposes the relationship between sewage emissions and the economic growth depicted by the pollution risk transfer effect and proposes a spatial hyperbolic model to illustrate this relationship in local and other regions. The results show that the relationship between industrial sewage emissions and economic growth presents an inverted U-shaped curve in the local region and a U-shaped curve in other regions. The turning point of the inverted U-shaped curve in the hyperbola lags behind that in the EKC, indicating that the turning point in the EKC is influenced by the pollution risk transfer effect. The turning point of the inverted U-shaped curve lags behind that of the U-shaped curve in the hyperbola, indicating that pollution transfer behavior has become the main choice under environmental regulation. Based on this conclusion, this paper suggests that the central government should optimize the assessment standards of local government achievements and should encourage enterprises to engage in technological innovation using market incentive environmental regulation.
Expounding on the dual effects of sewage emissions and economic growth driven by technological innovation and pollution risk transfer
Extending the classical model with a single curve into a hyperbolic model in the spatial dimension
Clarifying the internal causality between sewage emissions and economic growth under environmental regulation
