Managerial and Decision Economics最新文献

{"title":"How to Improve the Efficiency of the New Energy Vehicle Industry: Multiple Paths From Configuration Perspective","authors":"Tian Zhang,&nbsp;Yaqin Fu,&nbsp;Jiang Hu","doi":"10.1002/mde.4490","DOIUrl":"https://doi.org/10.1002/mde.4490","url":null,"abstract":"<div>\u0000 \u0000 <p>This study examines regional new energy vehicle (NEV) industry efficiency across 26 Chinese provinces, addressing the need for deeper insights into the spatiotemporal efficiency patterns and configurational pathways influencing NEV development. By employing data envelopment analysis (DEA) to measure efficiency, exploratory spatial data analysis (ESDA) to explore spatial clustering, and fuzzy-set qualitative comparative analysis (fsQCA) to investigate configuration-based pathways, this research provides a nuanced understanding of how regional factors shape NEV efficiency. The analysis identifies four distinct configurational pathways: policy bolstering for technological innovation, organizational synergy, market dynamics and regulatory synergy, and structural deficiency type. These findings suggest that developed regions benefit from prioritizing organizational collaboration and technological support, while less-developed areas may improve efficiency through foundational policy enhancement and regulatory alignment. Furthermore, investing in human capital, technical innovation, and infrastructure can contribute to building a resilient NEV ecosystem. By integrating multiple analytical methods, this study sheds light on the complex interactions shaping NEV efficiency across regions and offers insights for policymakers to enhance the global competitiveness and sustainability of China's NEV industry.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 4","pages":"2643-2661"},"PeriodicalIF":2.5,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143945018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Release Strategy of Competing Retailers for Reserved Produce Under the Government's Emergency Reserves With Order Constraints","authors":"Ting Lei,&nbsp;Bin Dan,&nbsp;Yongqi Yuan,&nbsp;Yu Tian,&nbsp;Yu Ding","doi":"10.1002/mde.4479","DOIUrl":"https://doi.org/10.1002/mde.4479","url":null,"abstract":"<div>\u0000 \u0000 <p>The government establishes an emergency reserve system and releases reserved produce through competing retailers in a fresh produce supply chain. We study the release strategy of competing retailers for reserved produce under the government's emergency reserves with order constraints. Our results reveal that competing retailers are willing to release reserved produce despite intensifying market competition. The release of reserved produce does not necessarily cannibalize supplies of fresh produce; however, the order constraints on reserved produce may instead reduce fresh produce supplies. It can also simultaneously improve or reduce supply chain performance and consumer surplus, bringing a “win-win” or “lose-lose” situation.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 4","pages":"2524-2539"},"PeriodicalIF":2.5,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143945019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Recovery Mode for New Energy Vehicle Battery Recycling Under Government Policies","authors":"Wenqi Wu,&nbsp;Ming Li,&nbsp;George Q. Huang","doi":"10.1002/mde.4487","DOIUrl":"https://doi.org/10.1002/mde.4487","url":null,"abstract":"<p>The choice of spent new energy vehicle (NEV) battery recovery mode is crucial to improve recovery performance. This paper examines the decision-making rules for the closed-loop supply chain of NEV batteries under the intervention of government policies. It also compares the performance of the supply chain across various recovery modes and the effects of different policies. Results indicate that (1) in terms of total revenue and recovery rate, the battery producer recovery mode, mixed recovery mode involving automobile manufacturer and professional recycler, is more effective. (2) The optimal solution for the decision variable is influenced by government policies, and this influence remains consistent across different recovery modes. (3) The positive impact of the deposit-return system is linked to the relationship between the deposit amount and the reward scale. If the refund constitutes too small a proportion of the deposit, both total revenue and recovery rate will decline. Reducing recycling channel costs and enhancing purchasers' environmental awareness can increase the battery recycling ratio and higher total revenue.</p>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 4","pages":"2629-2642"},"PeriodicalIF":2.5,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mde.4487","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143945011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Productive and Unproductive Effort Choices in Groups and Sharing: An Experimental Study","authors":"Mürüvvet Büyükboyacı,&nbsp;Emin Karagözoğlu,&nbsp;Serkan Küçükşenel","doi":"10.1002/mde.4492","DOIUrl":"https://doi.org/10.1002/mde.4492","url":null,"abstract":"<p>Agents in collaborative relationships (e.g., business partnership and co-authorship) frequently need to decide on the allocation of limited resources (e.g., time and money) to productive activities that increase the size of the joint surplus and unproductive, promotional activities that do not affect the size of the surplus but increase their (individual) likelihood of capturing a greater control/share of the surplus. Using a laboratory experiment, we first analyze the effect of the opportunity cost of unproductive investment on subjects' resource allocation decisions in the first stage. Second, we study whether (i) the opportunity cost of unproductive investment and (ii) the identity of the decision-maker (human or computer) affect subjects' distributive decisions in the second stage. Three main insights emerge from our experiment: First, we find that subjects choose productive and unproductive investments equally likely both in low and high opportunity cost treatments. Second, subjects give less to their matched pairs if they choose unproductive investment in human treatment but not in computer treatment that suggests that subjects punish (by giving less) their matched pairs for allocating more resources to unproductive, promotional activities, a behavior that is not present when the allocation decision is made by a computer.</p>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 4","pages":"2678-2687"},"PeriodicalIF":2.5,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mde.4492","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Green Finance on Enterprise Environmental Strategies: Source Prevention or End-Of-Pipe Treatment?","authors":"Lin Wang,&nbsp;Yuning Li,&nbsp;Huixiang Zeng","doi":"10.1002/mde.4483","DOIUrl":"https://doi.org/10.1002/mde.4483","url":null,"abstract":"<div>\u0000 \u0000 <p>Based on the quasinatural experiment of China's green finance reform and innovation pilot zones (GFRIs), the impact of GFRIs on the environmental strategies of heavy-polluting enterprises is discussed. The results show that after the implementation of GFRIs, heavy-polluting enterprises are more inclined to end-of-pipe treatment than source prevention. Alleviating financing restrictions and enhancing external attention are potential channels for GFRIs to induce enterprises to adopt end-of-pipe treatment. Additionally, we explore the governance boundaries of GFRIs for heterogeneous characteristics of enterprises and the market environment. The findings enrich the research related to the economic consequences of GFRIs and provide empirical evidence to formulate the next step of pilot expansion.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 4","pages":"2583-2602"},"PeriodicalIF":2.5,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply Chain Investment, Financing Schemes With the Uncertainty of Low-Carbon Technology Innovation: Carbon Asset Pledge vs. Sell–Buyback?","authors":"Jiawen Li,&nbsp;Xiaomin Xu,&nbsp;Shengzhong Huang,&nbsp;Hongyong Fu","doi":"10.1002/mde.4481","DOIUrl":"https://doi.org/10.1002/mde.4481","url":null,"abstract":"<div>\u0000 \u0000 <p>Carbon emissions are recognized as major contributors to the greenhouse effect, accelerating global warming. Meanwhile, technology innovation is acknowledged as a key determinant influencing carbon emissions. Therefore, implementing low-carbon technology innovation (LCTI) becomes a critical approach to mitigating global warming. However, the uncertainty of LCTI and capital constraints hinder enterprises from adopting such innovations. Additionally, the constraints imposed by traditional financing channels exacerbate the predicament faced by enterprises. In this paper, we build a two-echelon supply chain model in the context of LCTI uncertainty, consisting of a retailer with sufficient capital and a manufacturer facing capital constraints, where traditional financing channels are restricted, to explore the strategies of LCTI investments, carbon asset financing, and product pricing. The research findings are as follows: Firstly, LCTI does not consistently result in higher expected profits for the manufacturer. This means that the manufacturer may lack the willingness to invest in such endeavors unless the probability coefficient of success in LCTI surpasses a certain threshold. Conversely, the retailer always benefits as a free rider from the manufacturer's investment in low-carbon technology. Secondly, both carbon asset pledge and sell–buyback financing can continuously increase the manufacturer's LCTI investments, but their impacts on the manufacturer's profits differ. Under pledge financing, higher LCTI investments imply greater profits for the manufacturer. In contrast, under sell–buyback financing, the impact may be either positive or negative, which depends on the fluctuation of carbon price. If carbon price escalates beyond a certain degree, sell–buyback financing may backfire. Yet, it also provides the opportunities for the manufacturer to maximize profits. Thirdly, improving LCTI investments can either benefit or harm the environment. This is contingent upon the relationship between the carbon emission ratio and the demand ratio. Win–win economic benefits and environmental performance can be achieved only when the carbon emission ratio is lower than the demand ratio. Finally, in the context of LCTI uncertainty, although carbon asset financing can enhance the manufacturer's LCTI investments and has the potential to improve the manufacturer's profits, it fails to prevent the retailer's free-riding behavior. An LCTI cost-sharing mechanism can limit such behavior and help the manufacturer and retailer reach a win–win outcome.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 3","pages":"1888-1912"},"PeriodicalIF":2.5,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pricing and Procurement Strategies for Substitute Products in Extreme Weather","authors":"Haonan Xu,&nbsp;Jiaguo Liu","doi":"10.1002/mde.4489","DOIUrl":"https://doi.org/10.1002/mde.4489","url":null,"abstract":"<div>\u0000 \u0000 <p>Climate change is causing frequent extreme weather events, posing disruption risks to supply chains. A two-echelon supply chain comprising two suppliers and one retailer is constructed from a risk perspective. A game theory model is utilized to analyze all parties' optimal decisions and risk management measures under climate disturbances. The reactions of the retailer and suppliers, who sell vertically differentiated substitute products, are examined, and the changes in social welfare are observed. Our analysis exhibits that (1) the retailer mitigated the negative impact of risk disturbance through product differentiation and pricing strategies and even achieved higher profits than without extreme weather events; (2) there is a possibility that the sales volume will be higher in extreme weather, which is related to the antidisturbance ability of the supply chain; and (3) although extreme weather disturbs the supply, it may lead to a win–win relationship between retailer's profit and social welfare. The operational decisions derived from this study exhibit robustness in mitigating the adverse effects of extreme weather, enabling maximization of both retailers' profits and social welfare, thus contributing to the theoretical foundation for sustainable socioeconomic systems.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 3","pages":"1871-1887"},"PeriodicalIF":2.5,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Firm Performance on Artificial Intelligence Implementation","authors":"Cheng-Kui Huang,&nbsp;Jheng-Siang Lin","doi":"10.1002/mde.4486","DOIUrl":"https://doi.org/10.1002/mde.4486","url":null,"abstract":"<div>\u0000 \u0000 <p>In recent years, artificial intelligence (AI) has become a focal point in academic and business research. With breakthroughs in learning algorithms, AI applications in business operations are increasingly practical and impactful. AI offers tools for market analysis, decision-making support, and innovations in business models and processes, presenting a significant turning point for firms. Despite this, questions remain about whether AI implementation yields measurable business value or is merely a trend, challenging enterprises and managers. This study provides a significant contribution by empirically examining AI impact on firm-level performance through three key indicators: financial performance, productivity, and market value. Drawing on internal financial perspectives, this research reveals that while AI adoption enhances financial performance and market value, the advantages for AI first movers and better performers are not uniformly positive across all indicators. This nuanced analysis offers managers and stakeholders a deeper understanding of the tangible value of AI, guiding more informed implementation strategies.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 3","pages":"1856-1870"},"PeriodicalIF":2.5,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Financial Superiority of Cooperation in Household Entrepreneurship: Insights From the Chinese Household Financial Survey","authors":"Yixiao Nai,&nbsp;Di Hu,&nbsp;Fei Jin,&nbsp;Beichen Liu","doi":"10.1002/mde.4484","DOIUrl":"https://doi.org/10.1002/mde.4484","url":null,"abstract":"<div>\u0000 \u0000 <p>Teamwork is common in entrepreneurship, yet its impact on households remains underexplored. This study investigates the differences in household entrepreneurship outcomes between cooperative and solo ventures. The findings reveal that cooperative entrepreneurship significantly outperforms solo entrepreneurship in financial terms. Cooperative households, by substituting entrepreneurial resources, boost performance through resource sharing. Furthermore, cooperation enhances productivity in small-scale ventures and in regions with strong legal frameworks, driving greater entrepreneurial success. Importantly, the primary motivation for household cooperation often lies in overcoming resource constraints. This paper offers innovative insights and practical strategies to address the resource limitations faced by household enterprises.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 4","pages":"2603-2628"},"PeriodicalIF":2.5,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Land Misallocation and Urban Green Innovation: From the Perspective of Asymmetrical Innovation Theory","authors":"Hengzhou Xu,&nbsp;Fenghui Sun,&nbsp;Shuangliang Liu","doi":"10.1002/mde.4485","DOIUrl":"https://doi.org/10.1002/mde.4485","url":null,"abstract":"<div>\u0000 \u0000 <p>As the conflict between economic growth and environmental pollution intensifies, green innovation is gradually recognized as a pivotal strategy for promoting sustainable urban development. The unique institution is an important asymmetric resource for innovation activities, so delving into China's land institutional context represents a significant direction for both the theoretical understanding and practical application research of innovation in China. The existing framework inadequately explores the nexus between land misallocation (LM) and urban green innovation (UGI) and fails to reveal the underlying transmission mechanism fully. To bridge this gap, this paper utilizes city-level data from China spanning 2007 to 2020, takes an asymmetric innovation perspective, and empirically tests the impact of two types of land misallocation, industrial LM and sectoral LM, on the relationship between UGI. The results reveal that LM has a significantly direct negative impact on UGI in China. The results are still robust after changing the sample size, substituting explanatory variables, replacing regression models, and running endogeneity tests. Additionally, the negative impact of LM exhibits heterogeneity within sectors and cities of different economic levels, administrative ranks, and dominant industries. The mechanism testing results indicate that LM affects UGI through structural, scale, and agglomeration effects. These conclusions enrich the literature on the impact of institutions on urban green innovation and provide valuable insights into the sustainable development of cities.</p>\u0000 </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 3","pages":"1835-1855"},"PeriodicalIF":2.5,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}