Ye Duan, Zenglin Han, Hao Zhang and Hongye Wang
Environmental problems such as CO2 (Carbon Dioxide) emissions have seriously affected the development of the steel industry, which has urged the industry to adopt a more effective…
Abstract
Purpose
Environmental problems such as CO2 (Carbon Dioxide) emissions have seriously affected the development of the steel industry, which has urged the industry to adopt a more effective emission reduction policy. This paper aims to analyze the impact of various CO2 emission reduction policies combinations on the economic benefits and environmental changes of the steel industry and to determine the scope of application.
Design/methodology/approach
To compare the impact and applicable implementation conditions, a production decision game model that incorporates these two policies has been constructed. Short-, medium- and long-term constraints are set on the emission reduction indicators and the indicators’ changes under various scenarios are compared.
Findings
In the case of a single emission reduction policy, the carbon trading (CT) mechanism is better than the carbon tax mechanism. The mixed carbon trading mechanism is superior to the mixed carbon tax mechanism in terms of total output and subsidies, but worse in terms of overall social welfare, producer surplus and macro losses.
Originality/value
This paper constructs multiple emission reduction and production backgrounds and discusses the impact of the comprehensive implementation of these policies, which is practically absent in previous studies. It is in line with the current industrial policy for stable production and environmental protection and also provides a reference for the formulation of detailed policies in the future.
Details
Keywords
Ye Duan, Zenglin Han and Hailin Mu
There are certain differences in the production products of enterprises. What are the impacts of product differentiation on the iron and steel industry? Based on the macro…
Abstract
Purpose
There are certain differences in the production products of enterprises. What are the impacts of product differentiation on the iron and steel industry? Based on the macro background of CO2 emission reduction, this paper aims to analyze the economic benefits and environmental changes of the iron and steel industry under the dual influence of CO2 emission reduction policy and product differentiation policy.
Design/methodology/approach
Taking the basic data of iron and steel industry in six regions of China as an example, this paper constructed an extended two-stage dynamic game model to analyze the impact of product differentiation and carbon tax policy on the production, economic indicators and CO2 emission levels for the overall industry and regional enterprises.
Findings
As the CO2 emission reduction target increased, the unit carbon tax and total tax increased, whereas the macro-environmental losses, social welfare, consumer surplus and outputs decrease. Emission reduction pressures and other economic indicators showed obvious regional differences. Differentiated products promoted various indicators of enterprises and industries; higher degrees of product differentiation resulted in greater promoting effects on economic indicators.
Originality/value
This paper constructed multiple emission reduction and production backgrounds, and discusses the impact of the comprehensive implementation of these policies, which has been practically absent in previous studies. The results of this study are consistent with the current industrial policy for stable production and environmental protection, and also provides a reference for the formulation of detailed policies in the future.
Details
Keywords
Orlando Telles Souza and João Vinícius França Carvalho
This study aims to analyze the efficient market hypothesis (EMH) of cryptocurrencies on multiple platforms by observing whether there is a discrepancy in the levels of efficiency…
Abstract
Purpose
This study aims to analyze the efficient market hypothesis (EMH) of cryptocurrencies on multiple platforms by observing whether there is a discrepancy in the levels of efficiency between different exchanges. Additionally, EMH is tested in a multivariate way: whether the prices of the same cryptocurrencies traded on different exchanges are temporally related to each other. ADF and KPSS tests, whereas the vector autoregression model of order p – VAR(p) – for multivariate system.
Findings
Both Bitcoin and Ethereum show efficiency in the weak form on the main platforms in each market alone. However, when estimating a VAR(p) between prices among exchanges, there was evidence of Granger causality between cryptocurrencies in all exchanges, suggesting that EMH is not adequate due to cross information.
Practical implications
It is essential to assess the cryptocurrency market in a multivariate way, not only to favor its maturation process, but also to promote a broad understanding of its inherent risks. Thus, it will be possible to develop financial products that are actively managed in a more sophisticated cryptocurrency market.
Social implications
There is a possibility of performing arbitrage on different exchanges and market assets through cross-exchanges. Thus, emphasizing the need for regulation of exchanges in the digital asset market, as an eventual price manipulation on a single platform can impact others, which generates various distortions.
Originality/value
This study is the first to find evidence of cross-information for the same (and other) cryptocurrencies among different exchanges.
Details
Keywords
Abstract
Purpose
This research aims to investigate the impact of the collaborative governance mechanism on the implementation of rural governance information systems in developing countries. By integrating institutional logic theory, affordance theory and social identity theory, the authors propose modeling grassroots officials' affordance perception process and exploring the importance of multi-identities’ information technology (IT) goals in affordance perception.
Design/methodology/approach
Through an exploratory case study, the authors identified three affordances of rural governance information systems and investigated the mechanisms influencing the perception of these affordances among grassroots officials. Next, the authors established a research model and collected 490 valid questionnaires from grassroots officials in China and analyzed the data using structural equation modeling (SEM).
Findings
The authors' study challenges previous assumptions by integrating institutional logic, affordance and social identity theories. The authors establish a perceived affordance path for rural governance information systems, recognize substitute effects among technological affordances and extend the theory to explain social factors influencing IT perception. The authors' findings suggest providing technical training for grassroots officials to enhance IT capabilities, and governments should prioritize essential functionalities in rural governance information systems to optimize resources. Training on collaborative governance mechanisms can improve IT affordance perception, enhancing digital platform utilization in governance processes.
Research limitations/implications
The study was conducted mainly in China, and therefore, the findings may not be universal to other developing countries. Researchers are therefore encouraged to test the proposal in locations with different rural cultures.
Practical implications
The paper includes implications for the development of IT perception in rural governance, the development of affordance perception theory and studying the relationship between IT goals and affordance perception.
Originality/value
Overall, this paper addresses the need to understand how grassroots officials perceive IT affordances in rural governance and study the relationship between multi-identities’ goals and affordance perception.
Details
Keywords
Yupeng Mou, Tianjie Xu and Yanghong Hu
Artificial intelligence (AI) has a large number of applications at the industry and user levels. However, AI's uniqueness neglect is becoming an obstacle in the further…
Abstract
Purpose
Artificial intelligence (AI) has a large number of applications at the industry and user levels. However, AI's uniqueness neglect is becoming an obstacle in the further application of AI. Based on the theory of innovation resistance, this paper aims to explore the effect of AI's uniqueness neglect on consumer resistance to AI.
Design/methodology/approach
The authors tested four hypothesis across four studies by conducting lab experiments. Study 1 used a questionnaire to verify the hypothesis that AI's uniqueness neglect leads to consumer resistance to AI; Studies 2 focused on the role of human–AI interaction trust as an underlying driver of resistance to medical AI. Study 3–4 provided process evidence by way of a measured moderator, testing whether participants with a greater sense of non-verbal human–AI communication are more reluctant to have consumer resistance to AI.
Findings
The authors found that AI's uniqueness neglect increased users' resistance to AI. This occurs because the uniqueness neglect of AI hinders the formation of interaction trust between users and AI. The study also found that increasing the gaze behavior of AI and increasing the physical distance in the interaction can alleviate the effect of AI's uniqueness neglect on consumer resistance to AI.
Originality/value
This paper explored the effect of AI's uniqueness neglect on consumer resistance to AI and uncovered human–AI interaction trust as a mediator for this effect and gaze behavior and physical distance as moderators for this effect.
Details
Keywords
Brenda Nansubuga and Christian Kowalkowski
Following the recent surge in research on carsharing, the paper synthesizes this growing literature to provide a comprehensive understanding of the current state of research and…
Abstract
Purpose
Following the recent surge in research on carsharing, the paper synthesizes this growing literature to provide a comprehensive understanding of the current state of research and to identify directions for future work. Specifically, this study details implications for service theory and practice.
Design/methodology/approach
Systematic selection and analysis of 279 papers from the existing literature, published between 1996 and 2020.
Findings
The literature review identified four key themes: business models, drivers and barriers, customer behavior, and vehicle balancing.
Practical implications
For managers, the study illuminates the importance of collaboration among stakeholders within the automotive sector for purposes of widening their customer base and maximizing utilization and profits. For policy makers, their important role in supporting carsharing take-off is highlighted with emphasis on balancing support rendered to different mobility services to promote mutual success.
Originality/value
This is the first systematic multi-disciplinary literature review of carsharing. It integrates insights from transportation, environmental, and business studies, identifying gaps in the existing research and specifically suggesting implications for service research.
Details
Keywords
Jiafeng Lai, Yuhan Wang, Yuwei Wei, Jinlu Liang and Xintian Liu
The purpose of the paper is to predict the residual life of liquid-storage tank to ensure safety and long-term service life of the structure.
Abstract
Purpose
The purpose of the paper is to predict the residual life of liquid-storage tank to ensure safety and long-term service life of the structure.
Design/methodology/approach
The paper carried out the stress analysis of the wall plate and bottom plate of the liquid-storage tank, and the influence of circumferential stress on the tank is considered. On the other hand, considering the influence of the tank wall surface on the tank life, based on the Paris law, the surface processing coefficient and surface roughness coefficient are introduced to improve the Paris law.
Findings
The effectiveness of the improved model is verified by comparing with theoretical and experimental data, which provide a new method for the prediction of the remaining service life of the tank. Combined with the fatigue crack data in the test report and the calculated circumferential stress, the residual life of the storage tank is predicted.
Originality/value
The improved model provides a new method for the prediction of the remaining service life of the tank.
Details
Keywords
Zijun Lin, Chaoqun Ma, Olaf Weber and Yi-Shuai Ren
The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams…
Abstract
Purpose
The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams and future research directions in SFA.
Design/methodology/approach
The results are obtained using bibliometric citation analysis and content analysis to conduct a bibliometric review of the intersection of sustainable finance and sustainable accounting using a sample of 795 articles published between 1991 and November 2023.
Findings
The most influential factors in the SFA literature are identified, highlighting three primary areas of research: corporate social responsibility and environmental disclosure; financial and economic performance; and regulations and standards.
Practical implications
SFA has experienced rapid development in recent years. The results identify the current research domain, guide potential future research directions, serve as a reference for SFA and provide inspiration to policymakers.
Social implications
SFA typically encompasses sustainable corporate business practices and investments. This study contributes to broader social impacts by promoting improved corporate practices and sustainability.
Originality/value
This study expands on previous research on SFA. The authors identify significant aspects of the SFA literature, such as the most studied nations, leading journals, authors and trending publications. In addition, the authors provide an overview of the three major streams of the SFA literature and propose various potential future research directions, inspiring both academic research and policymaking.
Details
Keywords
Matteo Cristofaro, Nicola Cucari, Anastassia Zannoni, Francesco Laviola, Antonella Monda, Davide Liberato Lo Conte, Pinalba Schilleci, Leul Girma Haylemariam and Simona Margareta Mare
Micro-municipalities are a widespread form of local government worldwide. However, research into micro-municipalities is often fragmented across various disciplines (e.g. public…
Abstract
Purpose
Micro-municipalities are a widespread form of local government worldwide. However, research into micro-municipalities is often fragmented across various disciplines (e.g. public management, urban studies, etc.), limiting our understanding of the diverse influences impacting micro-municipal administration. Here, we review the literature on micro-municipalities and investigate the network relationships affecting their administration.
Design/methodology/approach
We performed a systematic literature review on micro-municipal administration. We adopted a network perspective for analysing the sample articles, which helps identify the multiple nodes that influence micro-municipalities’ administration, the drivers of relationships between the nodes, and the direction and flow of authority between these nodes.
Findings
We propose a network-based framework of micro-municipal administration that incorporates tailored interventions and support from higher government levels, adaptive stakeholder engagement, residents’ active participation, and responsive leadership.
Originality/value
This is the first systematic literature review of micro-municipalities and the first to propose a network-based framework for their effective governance.