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：
How to identify the spatial spillover effects and pollution risk transfer in cross-border tourism remains a research gap in the literature. This study embeds disembodied technology communications into the classical environmental Kuznets curve to develop a new tourism-induced environmental spatial hyperbolic model to differentiate these two opposite effects. This study finds that the disembodied technology communications of cross-border tourism reduce the pollution emissions of destinations in both local and adjacent regions. The relationships between pollution emissions and the economic growth of destinations in local and adjacent areas present an inverted U-shaped curve and a U-shaped curve, respectively. These results highlight that governments should upgrade the quality of cross-border tourism consumption to induce disembodied technology communications from developed countries.
摘要：
This study explored how self-control and eudaimonic orientation are associated with learning burnout and internet addiction risk (IAR). Our results demonstrate that learning burnout has a significant and positive impact on IAR. The impulse system and control system play parallel mediating roles in the relationship between learning burnout and IAR. The relationship between learning burnout and IAR is moderated by eudaimonic orientation. Finally, the mediating role of the impulse system on learning burnout and IAR is moderated by eudaimonic orientation. With these findings, our study clarifies the mediating roles of the impulse system and control system in learning burnout and IAR and the moderating effects of hedonic orientation and eudaimonic orientation. Our study not only offers a new perspective for IAR research but also has practical implications for intervening in middle school students’ IAR.
作者机构：
[Li, Zhisheng; Zeng, Xiongwang] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Zeng, Fusheng] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.;[Caputo, Francesco] Univ Naples Federico II, Complesso Univ Monte St Angelo, Dept Econ Management & Inst DEMI, I-80126 Naples, NA, Italy.;[Chin, Tachia] Honghe Univ, Coll Business, Yunnan 661100, Mengzi, Peoples R China.
通讯机构：
[Tachia Chin] C;College of Business, Honghe University, Mengzi 661100, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
production efficiency of rice;grain security;spatiotemporal evolution;influencing factors;spatial autocorrelation analysis model;geographic detector model
摘要：
In a response to the appeal for securing the rice production efficiency to achieve the United Nations Sustainable Development Goals, we adopted a geographic detector model to investigate the spatiotemporal evolution trajectory and driving forces of the rice production in the world’s largest rice-producing country, China. We have analyzed the spatiotemporal evolution features and aggregation patterns of county rice production efficiency based on panel data of 122 counties in Hunan Province, one of the main grain production provinces in China, from 2006 to 2018. Our findings indicate: (1) Hunan Province’s rice production in three counties (i.e., Taoyuan, Liling, and Anren) showed the highest efficiency; there were pronounced regional variances in rice productivity which results in a sharp and rapid shrink of the range of rice productivity, (2) financial investments in agriculture, forestry, and water resources, as well as per capita disposable income of farmers, were the main determinants of the spatiotemporal variation in rice production efficiency, (3) the spatiotemporal divergence of rice production efficiency at the province level was U-shapedly, influenced by the share of secondary industry in GDP; the southern Hunan region received the biggest contribution from farmers in terms of disposable income per person at the regional level. Overall, theoretically, this study offers fresh evidence for regional optimization of rice and other grain production from a novel integrative approach of the geospatial and the land resource preservation. Practically, it provides feasible guidance for the high-quality development of grain production in China, which may also help eradicate hunger and attain sustainable grain production all over the world.
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：
[He, ST ] S;Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China.
关键词：
Complex network evolutionary game;Individualized consumption;Digitalization;NW small world network;Digital diffusion
摘要：
This article uses a complex network evolution model to analyze the impact of the proportion of personalized demand population and willingness to pay on the diffusion of enterprise digital strategies through digital simulation. The research results show that (1) the proportion of the population and willingness to pay have a positive effect on promoting the diffusion of enterprise digitization, but the latter's effect has a marginal diminishing effect; (2) willingness to pay cannot guarantee 100% industrial digitization. When these two factors are low, the diffusion of enterprise digitization will fail, and the degree of failure is influenced by the concentration, degree, and distribution of competition; (3) in general, the overall average revenue of enterprises is positively correlated with the proportion of the population and willingness to pay, but the latter has a relatively small effect on digital diffusion. Therefore, the following two policy recommendations are proposed: to strengthen demand-side structural reform, to reasonably allocate consumer demand, and to promote the diffusion of industrial digitization and avoid excessive competition among enterprises. This article expands the theory of industrial digitization from the perspectives of market demand and innovation diffusion and from the demand side to provide references for constructing effective policies for the development of industrial digitization in the digital economy.
摘要：
Purpose
This paper aims to establish a systematic cognition to alleviate the supply–demand contradiction in rural financial markets from an integrated perspective of knowledge management and proposes the concept of rural financial knowledge ecosystem (RFKE) to encourage multifaceted solutions.
Design/methodology/approach
The authors qualitatively describe the process that the knowledge management dilemmas cause the supply–demand contradiction in the rural finance and further summarize a systematic methodology from three dimensions: the knowledge subject, the knowledge environment and the knowledge ecology.
Findings
The authors list four types of knowledge management dilemmas leading to the supply–demand contradiction in the rural finance, i.e. the weak knowledge sharing, the poor knowledge flow, the slow knowledge updating and the imperfect knowledge environment. Meanwhile, the RFKE model consisting of the ecological subject, the ecological environment and the ecological regulation is also presented.
Research limitations/implications
The role of knowledge management in improving the allocation of financial resources to various rural financial market participants (government, rural financial institutions, farmers, agricultural enterprises, etc.).
Originality/value
The authors creatively give the RFKE model, which complements and enriches the theory of knowledge management. Meanwhile, relevant management practices are urgently needed under the macro circumstance of the COVID-19 pandemic and the rural revitalization in China.
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.
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：
Journal of Cleaner Production,2022年335:130288 ISSN：0959-6526
通讯作者：
Wei Li<&wdkj&>Fu Jia
作者机构：
[Liu, Kanying; Lan, Yong] Hunan Agr Univ, Sch Business, Changsha 410128, Hunan, Peoples R China.;[Liu, Kanying; Li, Wei] Hunan Univ, Sch Econ & Trade, Changsha 410079, Hunan, Peoples R China.;[Li, Wei] Hunan Key Lab Logist Informat & Simulat Technol, Changsha 410079, Hunan, Peoples R China.;[Jia, Fu] Univ York, York Management Sch, York YO10 5GD, N Yorkshire, England.
通讯机构：
[Wei Li] S;[Fu Jia] Y;School of Economics and Trade, Hunan University, Changsha, Hunan, 410079, PR China<&wdkj&>Hunan Key Laboratory of Logistics Information and Simulation Technology, Changsha, Hunan, 410079, PR China<&wdkj&>York Management School, University of York, YO10 5GD, UK
摘要：
Behaviour-based pricing (BBP) fully considers the willingness to pay, behavioural characteristics and rational expectations of new and old customers and can dynamically adjust pricing strategies based on purchase histories. Therefore, compared with uniform pricing, BBP can promote the development of green products in the market. Additionally, BBP gradually influences the pricing decisions of the supply chain. Therefore, this paper explores for the first time the pricing decisions and coordination mechanisms of the green product supply chain (GPSC) under a behavioural pricing model. BBP is implemented under two scenarios, centralisation and decentralisation, and the optimal pricing and supply chain decision-making are compared. Under the centralised scenario, the profit, greenness, market share and environmental friendliness are all higher than those under the decentralised scenario, and in most cases, consumers can better afford green products. Therefore, a revenue-sharing model is designed to realise GPSC coordination under BBP. The numerical experiments show that the proportion of revenue shared by green product retailers is positively correlated with the initial market share of green products; the proposed coordination mechanism can improve the greenness and profits of enterprises in a GPSC, the consumer surplus of green products and the overall environment performance.
作者机构：
[Zhou, Ping; Li, Hailing] Hunan Agr Univ, Business Sch, Changsha 410128, Peoples R China.
通讯机构：
[Hailing Li] B;Business School, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
Tapio decoupling;carbon emissions;low-carbon transformation;sustainable development;Jiangsu
摘要：
Based on the Tapio decoupling model, this paper discusses the decoupling relationship between the economic growth and carbon emissions of the manufacturing sector in southern Jiangsu, northern Jiangsu and middle Jiangsu during the 13th Five-Year-Plan period. By using the LMDI method, the carbon emissions and influencing factors of 31 subindustries of the manufacturing sector in Jiangsu Province from 2016 to 2020 were quantitatively analyzed by region and industry. The main findings are as follows: (1) during the 13th Five-Year-Plan period, the growth rate of the energy consumption and carbon emissions of the manufacturing sectors in southern Jiangsu, northern Jiangsu and middle Jiangsu slowed down, and the industrial structure was increasingly optimized; (2) economic growth is the primary driving force behind the manufacturing carbon emissions in the three regions of Jiangsu Province, while energy intensity is the main factor that affects the carbon-emission differences among the manufacturing subsectors in the different regions; (3) improving the energy efficiency of high-emission-intensity industries, such as the ferrous metal smelting and calendering industry, chemical industry and textile industry, is the key to reducing the carbon emissions of the manufacturing sector in the different regions of Jiangsu in the future. Jiangsu Province should promote the upgrading of the manufacturing-industry structure, and it should encourage the high-energy-consumption industry to reduce its energy intensity by technological innovation to achieve the goal of emission reduction and economic growth.
作者机构：
[Liu, Zhicheng; Cui, Gang] Hunan Agr Univ, Coll Business, Changsha 410128, Peoples R China.;[Cui, Gang] Hunan Agr Univ, Coll Water Resources & Civil Engn, Changsha 410128, Peoples R China.
通讯机构：
[Zhicheng Liu] C;College of Business, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
Abstract: Rice is the staple food for 2.5 billion people worldwide and most farmers depend solely on rice for their livelihood. This study estimates how paddy ecosystem elasticity and external human activity affect paddy ecosystem sustainable food supply. In particular, we analyzed how sustainable food supply is affected by three key domains of external factors—ecological factors, including the proportion of paddy Area (Are), per capita cultivated land area (Lan), and annual wastewater discharge per capita (Was); economic factors, including the agricultural economy level (Inv) and urbanization rate (Urb); and social factors, including the education of farmers (Edu) and rural medical level (Med). We use ANEV, or net paddy ecosystem services value per unit area, to assess the sustainable food supply, which not only represents the food supply quantity and quality, but also the sustainability of the food supply. Results from our panel and threshold regressions suggest that Lan and Urb have a threshold effect on paddy ANEV; Are, Was, Inv, and Edu have a linear negative correlation with ANEV; and Med has a positive linear correlation with ANEV. Based on our findings, we lay out a series of recommendations that may guide future formulation of policies on paddy ecosystem protection and sustainable food supply. Keywords: sustainable food supply; policy; paddy ecosystem elasticity; threshold effect; ANEV
关键词：
Investment;Renewable energy sources;Decision making;Fuzzy sets;Bibliographies;Licenses;Companies;Renewable energy investments;incomplete preferences;consensus group decision making;Pythagorean fuzzy sets;balanced scorecard;DEMATEL
摘要：
The aim of this study is to generate appropriate strategies to improve renewable energy investments. Within this framework, a novel model has also been proposed which includes three different stages. Firstly, incomplete preferences of the relation matrixes are calculated. For this purpose, 4 different decision makers evaluate the balanced scorecard-based criteria. In this stage, missing values are estimated by incomplete preferences to complete the relation matrixes. Additionally, the second stage includes the computing the fuzzy preferences by considering the consensus-based group decision-making (CGDM). The final stage is related to the calculation of the weights of the criteria by considering Pythagorean fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology. Hence, the main motivation of this study is to identify innovative strategies for the renewable energy investments with a novel multi-criteria decision-making (MCDM) model based on incomplete preferences, CGDM and Pythagorean fuzzy sets. The findings indicate that learning and growth is the most important balanced scorecard-based perspective to improve the performance of renewable energy investments. Additionally, the perspective of internal process is identified as another significant factor for this situation. The biggest problem in renewable energy projects is their high initial costs. Hence, technological developments reduce the production costs of renewable energy sources. Additionally, it is also possible to increase the amount of electricity from renewable energy sources owing to the innovative technologies. Thus, renewable energy investors should follow up-to-date technological developments so that it will be possible to reduce the cost of renewable energy investments.
摘要：
Comprehensive evaluation of the sustainability of paddy ecosystems is key to success in paddy ecosystem management. In this research, we propose a novel quantitative method for sustainability evaluation based on the net value of ecosystem services, which consists of a new elasticity-based sustainability evaluation framework for agricultural ecosystems. The sustainability of ecosystems, evaluated through ecosystem elasticity, is reflected in seven measurable indicators within three domains: ecological, which includes the proportion of paddy area, per capita cultivated land area, and annual waste water discharge per capita; economic, which includes the agricultural economy level and urbanization rate; and social, which includes education of farmers and rural medical level. The evaluation approach we propose constitutes an important contribution to sustainability evaluation methodology. We apply the proposed approach to evaluate the sustainability of China?s paddy ecosystems. The results suggest that the overall paddy ecosystem elasticity in China was on the rise in 2009e2017, indicating the weakening of anti interference ability and stability of the paddy ecosystem and the deterioration of paddy ecosystem sustainability. Our results also reveal obvious sustainability imbalance in paddy ecosystems across different regions of China. These findings offer empirical evidence substantiating the urgent need for Chinese governmental initiatives to improve the sustainability of paddy ecosystems, particularly those in the Northeastern region. The findings also necessitate inter-regional collaborations, especially collaborations between adjacent paddy ecosystems, to institute cross-regional standards and policies pertaining to the sustainability of paddy ecosystems. The results from the evaluations of China?s paddy ecosystems may serve as a wake-up call for other countries to assess the sustainability of their own ecosystems using the approach we propose. The findings are also likely to raise the awareness of ecosystem sustainability and its evaluation, and promote global ecosystem sustainability research. ? 2021 Elsevier Ltd. All rights reserved.
