摘要：
Combined the new metric Energy-Related Uncertainty Index (EUI) and novel Decomposed R2 Connectedness framework, with monthly dataset covers 19 G20 stock market returns from January 2004 to October 2022, this paper examines the dynamic overall, contemporaneous and lagged spillover effect between energy market and G20 stock markets. This paper has the following important and interesting conclusions: Firstly, the spillover effect of EUI and G20 stock markets are contemporaneous dominated. All the contemporaneous From and To connectedness indicators are higher than lagged connectedness except for EUI. Secondly, the spillover effect shows heterogeneity. The stock of France, the United Kingdom, and the United States are net transmitter, while China, Saudi Arabia, and EUI are the net recipient. Finally, the EUI plays a unique and subtle role in the transmission dynamics of market shocks. The multifaceted impact of EUI on the individual stock markets of the G20 has exacerbated the complexity of this interaction. Specifically, the spillover effects between the EUI and G20 stock markets are significantly affected by economic events such as global crises and technological changes. Our research is poised to offer valuable insights to investors, policymakers, and researchers alike. By delving into the specificities of the G20 context, we aim to contribute nuanced perspectives that can inform decision-making processes amidst the complexities of energy-related uncertainties in the financial landscape.
Combined the new metric Energy-Related Uncertainty Index (EUI) and novel Decomposed R2 Connectedness framework, with monthly dataset covers 19 G20 stock market returns from January 2004 to October 2022, this paper examines the dynamic overall, contemporaneous and lagged spillover effect between energy market and G20 stock markets. This paper has the following important and interesting conclusions: Firstly, the spillover effect of EUI and G20 stock markets are contemporaneous dominated. All the contemporaneous From and To connectedness indicators are higher than lagged connectedness except for EUI. Secondly, the spillover effect shows heterogeneity. The stock of France, the United Kingdom, and the United States are net transmitter, while China, Saudi Arabia, and EUI are the net recipient. Finally, the EUI plays a unique and subtle role in the transmission dynamics of market shocks. The multifaceted impact of EUI on the individual stock markets of the G20 has exacerbated the complexity of this interaction. Specifically, the spillover effects between the EUI and G20 stock markets are significantly affected by economic events such as global crises and technological changes. Our research is poised to offer valuable insights to investors, policymakers, and researchers alike. By delving into the specificities of the G20 context, we aim to contribute nuanced perspectives that can inform decision-making processes amidst the complexities of energy-related uncertainties in the financial landscape.
关键词：
environmental regulation;individual cognition;self-efficacy;heavy metal-contaminated farmland soil;stimulus–organism–response theory
摘要：
Regarding the large-scale heavy metal pollution in farmland, China has innovatively explored a farming measure governance approach of “production while repairing”. However, due to farmers’ difficulty breaking through conventional planting habits, the governance effects need to be more sustainable. Based on 447 survey data of farmers in 14 cadmium-polluted counties (cities) in Hunan Province, this paper uses the Bootstrap method to explore the impact of environmental regulation, technical cognition, and self-efficacy on farmers’ adoption of “variety–irrigation–pH” (VIP) technology. The results show the following: (1) Environmental regulation can effectively improve farmers’ adoption of VIP technology, and different types of regulation are classified as guidance regulation, constraint regulation, and incentive regulation according to the size of their impact. (2) Technical cognition mediates the environmental regulation process influencing farmers’ adoption. (3) In the process of environmental regulation influencing farmers’ adoption of irrigation and pH through technical cognition, the moderating effect of self-efficacy was positive. Enhance the strategic planning of environmental regulation, bolster technological research and development efforts, and nurture innovative agricultural entities that can promote the adoption of VIP technology. The results have practical significance for further guiding farmers to participate in treating heavy metal pollution.
作者：
Donghui Li;Guozheng Zhang;Fang Wang;Li Peng;Yongdong Shi
期刊：
International Journal of Computing Science and Mathematics,2024年19(3):232-243 ISSN：1752-5055
作者机构：
[Donghui Li] College of Information and Intelligence, Hunau Agricultural University, Changsha, 410128, China;[Yongdong Shi] Macau University of Science and Technology, Macau, 999078, China;[Guozheng Zhang; Fang Wang; Li Peng] Business School, Hunan Agricultural University, Changsha, 410128, China
摘要：
The customer perceived value (CPV) of agricultural products may differ dramatically from that of other items due to the superior quality and safety attributes of agricultural products. This research proposes a model of agricultural customer perceived value (ACPV) based on the quality and safety attributes of agricultural goods. The model consists of five dimensions: function value, economic value, result level, safety value, environmentally friendly value, and emotional value. This research uses a questionnaire survey and random sampling to investigate the influence that each of the five dimensions has on purchasing intention. After that, structural equation modelling is utilised in order to conduct an investigation into the relationship that exists between the various dimensions and purchase intent. Following the dimension of safety value as the factor that has the most significant positive influence on the purchase intent is the dimension of functional value, followed by the dimensions of economic value, social value, and emotional value.
作者：
Guozheng Zhang;Li Peng;Donghui Li;Fang Wang;Yongdong Shi
期刊：
International Journal of Autonomous and Adaptive Communications Systems,2024年17(6):545-558 ISSN：1754-8632
作者机构：
[Donghui Li] College of Information and Intelligence, Hunan Agricultural University, Changsha, 410128, China;[Yongdong Shi] Business School of Macau University of Science and Technology, Macau, China;[Guozheng Zhang; Li Peng; Fang Wang] Business School, Hunan Agricultural University, Changsha, 410128, China
摘要：
We proposed a theoretical framework to identify key factors influencing e-procurement adoption. The framework combines the theory of planned behaviour and the model of technological acceptance, commonly used in B2B analyses. Through a literature review, we developed the model, drawing insights from a leading B2B e-commerce company in China. Data from 518 completed questionnaires were analysed using structural equation modelling. The study found that behavioural attitudes, subjective norms, and behavioural control are crucial for predicting e-procurement technology usage. Internal and information barriers are important for corporate clients integrating new procurement platforms. The study provides suggestions to solution providers to overcome barriers and promote electronic procurement. The paper concludes by discussing the study's limitations and future research directions.
摘要：
Numerous studies have confirmed the existence of two types of spillover effects (i.e., negative or positive spillover) from online sales to offline sales. The manufacturer’s chosen strategy for sales mode can be challenging and complex when considering online sales efforts and spillover effects. With positive spillover, enhancing online sales efforts not only increases online demand but also stimulates offline demand. Conversely, with negative spillover, an increase in online sales efforts boosts online sales while simultaneously cannibalizing offline sales. This paper analyzes the manufacturer’s choice between reselling and agency selling modes and investigates how both positive and negative spillover effects influence the manufacturer’s choice when considering online sales efforts. We demonstrate that, with a significant positive spillover, agency selling is the manufacturer’s optimal strategy. Counterintuitively, we show that the larger the negative spillover, the more the manufacturer prefers reselling. Furthermore, when the negative or positive spillover is relatively low, the manufacturer’s decision regarding the sales mode depends on the commission rate. Moreover, our study highlights that the optimal selling strategy for the manufacturer is affected by consumers’ sensitivity to online sales efforts. We also find that when considering online sales efforts, in scenarios where there is a significant positive spillover, the manufacturer is better off adopting agency selling. Meanwhile, the manufacturer may obtain negative profits from the online channel but can be compensated by the profits made from the offline channel. We extend the model to consider online sales efforts provided by the online platform in two selling modes, demonstrating the robustness of our main outcomes.
Numerous studies have confirmed the existence of two types of spillover effects (i.e., negative or positive spillover) from online sales to offline sales. The manufacturer’s chosen strategy for sales mode can be challenging and complex when considering online sales efforts and spillover effects. With positive spillover, enhancing online sales efforts not only increases online demand but also stimulates offline demand. Conversely, with negative spillover, an increase in online sales efforts boosts online sales while simultaneously cannibalizing offline sales. This paper analyzes the manufacturer’s choice between reselling and agency selling modes and investigates how both positive and negative spillover effects influence the manufacturer’s choice when considering online sales efforts. We demonstrate that, with a significant positive spillover, agency selling is the manufacturer’s optimal strategy. Counterintuitively, we show that the larger the negative spillover, the more the manufacturer prefers reselling. Furthermore, when the negative or positive spillover is relatively low, the manufacturer’s decision regarding the sales mode depends on the commission rate. Moreover, our study highlights that the optimal selling strategy for the manufacturer is affected by consumers’ sensitivity to online sales efforts. We also find that when considering online sales efforts, in scenarios where there is a significant positive spillover, the manufacturer is better off adopting agency selling. Meanwhile, the manufacturer may obtain negative profits from the online channel but can be compensated by the profits made from the offline channel. We extend the model to consider online sales efforts provided by the online platform in two selling modes, demonstrating the robustness of our main outcomes.
摘要：
Green finance (GF) has emerged as a promising tool to promote low-carbon development, while knowledge is rather limited regarding the underlying mechanism. This article aims to address this void by constructing a city-level GF index covering seven dimensions and identifying the main pathways through which GF can facilitate the low-carbon development of cities. Using a balanced panel data covering 277 Chinese cities from 2010 to 2020, the results show that: (1) China's GF development exhibits an overall spatial differentiation of 'high in the east and low in the west', while the distribution of carbon intensity (CI) displays an overall spatial differentiation of 'high in the north and low in the south'; (2) GF significantly decreases CI of cities, which is robust to employing DID strategies and IV estimations; (3) The role of GF on CI varies with the level of CI whereas not with the level of GF. Specifically, the mitigating effect of GF on CI is significant in both high GF and low GF groups, but only in high CI group; and (4) GF promotes low-carbon transition of cities through mainly on adjusting industrial structure rather than stimulating technological innovation. Despite we also demonstrate green finance enhances green innovation, due to multi-factors, such technology progress it brings may not always translate into a tangible improvement in green productivity. For most developing countries including China, the future policy objective of green finance should focus on enhancing sustainable technological progress.
摘要：
Quantifying the importance of nodes in complex networks is known as the problem of identifying influential nodes and is considered a critical aspect in interacting with these networks. This problem has many applications such as controlling rumors, sickness spreading, and viral marketing, where its importance has been understood by the research society in the last decade. This paper proposes a new semi-local centrality to identify influential nodes in complex networks based on the theory of Local Average Shortest Path with extended Neighborhood concept (LASPN). LASPN focuses on a distributed technique to extract the subgraph associated with each node and apply the average shortest path theory to it. We use the extended neighborhood concept to find the nearest neighbors of each node with low complexity, where this can lead to high efficiency in dealing with large-scale networks. In addition to applying relative changes in the average shortest path, the proposed metric considers the importance of the node itself as well as its nearest neighbors in ranking the nodes. Evaluation of the proposed centrality metric has been done through numerical simulations on several real-world networks. The results based on Kendall's tau \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\tau$$\end{document} coefficient under the SIR infection spreading model show that LASPN improves the performance by 2.7% compared to the best available equivalent method.
