Socio-economic Planning Sciences最新文献

{"title":"An evolutionary multi-stage public-private cooperation framework for emergency supply reserves with corporate reputation considerations","authors":"Langyu Zhou ,&nbsp;Jing Zhang ,&nbsp;Jing Gong ,&nbsp;Chaoyong Zhang ,&nbsp;Huige Xing","doi":"10.1016/j.seps.2025.102325","DOIUrl":"10.1016/j.seps.2025.102325","url":null,"abstract":"<div><div>The timely supply of emergency supplies is a critical safeguard for disaster response and post-disaster recovery. With the increasing post-disaster demand for supplies, relying solely on government reserves has become insufficient to meet emergency needs, making collaboration with enterprises an essential solution. However, the specific mechanisms of government-enterprise collaboration in emergency supplies reserves require further investigation. This study employs evolutionary game theory (EGT), integrates corporate social responsibility (CSR), and incorporates reputational benefits into the analysis. A two-stage dynamic game model is constructed to systematically analyze the strategic evolution process and stabilization mechanisms between governments and enterprises during collaboration. The Collaboration Intention Formation (CIF) stage focuses on enterprise participation willingness and its determinants, while the Collaboration Deepening and Optimization (CDO) stage examines the dynamic evolution of government incentive strategies and enterprise cooperation patterns during sustained collaboration. The findings reveal that enterprise participation is directly driven by cost-benefit tradeoffs and indirectly influenced by internal and external factors. Stable and in-depth collaboration depends on the interaction of strategic choices and behavioral feedback mechanisms. Through model-based analysis and numerical simulations, this study identifies key variables influencing equilibrium stability and proposes policy recommendations to optimize emergency supply reserve systems. These results provide theoretical and practical guidance for enhancing the efficiency of government-enterprise collaboration in emergency management.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102325"},"PeriodicalIF":5.4,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two stages method-based on Africa smart irrigation system assessment for willingness to pay: A case of Ghana Northern Region","authors":"Tamimu Mohammed Gadafi ,&nbsp;Decui Liang ,&nbsp;Adjei Peter Darko","doi":"10.1016/j.seps.2025.102318","DOIUrl":"10.1016/j.seps.2025.102318","url":null,"abstract":"<div><div>In northern Ghana, irregular rainfall poses a significant challenge for farmers. This research aims to investigate the readiness and ability of farmers in this area to invest in a smart irrigation system to tackle this problem and improve agricultural output. The research is motivated by the adverse effects of unpredictable rainfall patterns and droughts on agricultural yields in the area. To identify the key factors influencing farmers’ willingness to pay (WTP) and their maximum WTP for the smart irrigation system, the study utilizes the contingent valuation method (CVM). An integrated Bonferroni mean (BM), best-worst method (BWM) and technique for order preference by similarity to the ideal solution (TOPSIS) have been developed to evaluate these factors and rank the smart irrigation system options. A two-stage approach was proposed to account for the interrelationships among the WTP factors by integrating the Bonferroni mean (BM). Primary data was collected through a thorough survey involving 375 respondents from 125 households and 5 agricultural experts. The findings reveal that the maximum WTP for the smart irrigation system in Zabzugu District was GHS 628. Among the key factors of WTP, income level is the most significant factor and market condition is the least important factor. The effectiveness of the proposed method is demonstrated by ranking various smart irrigation system options. Weathermatic smartline was identified as the preferred choice and Galcon smart irrigation controllers as the least option. This study contributes to Ghana’s existing irrigation system literature and provides valuable insights for policymakers concerning sustainable agriculture.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102318"},"PeriodicalIF":5.4,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agriculture-service integration and agricultural green total factor productivity: A case study of China","authors":"Yaoyao Song,&nbsp;Weiyin Zhu,&nbsp;Yuelin Yang,&nbsp;Erdou Su","doi":"10.1016/j.seps.2025.102326","DOIUrl":"10.1016/j.seps.2025.102326","url":null,"abstract":"<div><div>The integration of agriculture and service industries plays an important role in promoting the modernization and green transformation of agriculture industry. However, few literatures examined the impact of this industrial integration on the sustainable development in agriculture. This paper constructs an agriculture-service integration (ASI) index and estimates the agricultural green total factor productivity (AGTFP) to discuss the influence of ASI on AGTFP for 30 Chinese provinces. Empirical results indicate that ASI significantly contributes to the improvement of AGTFP, which still holds after controlling endogeneity and conducting robustness tests. Specifically, every 1% increase in the ASI leads to 0.1609% improvement of the AGTFP. Mechanism analysis illustrates that ASI can improve AGTFP through promoting the agricultural technical progress. Additionally, the effect of this integration varies regionally, and it is more pronounced in provinces with high proportion of land circulation, located in the main grain-producing areas, and with strong agro-environmental regulations. This paper verifies the stimulation of the ASI on agricultural green development and provides insights for the formulation and implementation of Chinese agricultural development policies.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102326"},"PeriodicalIF":5.4,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Institutional variables and power firms’ productivity: Micro panel estimation with time-invariant variables","authors":"Simona Bigerna,&nbsp;Maria Chiara D’Errico,&nbsp;Paolo Polinori","doi":"10.1016/j.seps.2025.102323","DOIUrl":"10.1016/j.seps.2025.102323","url":null,"abstract":"<div><div>Enhancing the productivity of power firms is essential for reducing energy resource consumption while improving sectoral performance. This objective aligns with circular economy (CE) principles, which emphasize not only reducing raw material use and minimizing waste, but also promoting systemic efficiency through infrastructure sharing, resource recovery, and cross-sectoral integration, particularly crucial in network-based sectors like electricity. Nonetheless, the productivity of electricity firms is influenced by multiple factors, some of which fall beyond their direct control. Among these, institutional frameworks play a significant role. Indeed, internal and external institutions define the environment in which companies operate, conditioning firms’ decision-making processes and productivity. This study investigates the role of institutional determinants in driving productivity changes in electricity companies across 15 European countries between 2010 and 2016, with a particular focus on environmental and market regulatory policies. In sectors like electricity, where long asset lifecycles, infrastructure interdependencies, and resource intensity prevail, CE goals cannot be achieved without institutional conditions that enable long-term investment, coordination, and adaptive capacity. Using the firm-level ORBIS dataset, we estimate productivity changes over time using the bootstrap Malmquist index, then a dynamic panel linear model is applied to investigate how internal and external institutional variables affect the dynamics of the Malmquist index. The internal institutional variables are time-invariant; therefore, we employ the procedure proposed by Kripfganz and Schwarz (2019) to consistently identify the effects of time-invariant variables. This novel approach provides valuable robustness to false assumptions about the exogeneity of instruments. Interaction variables capture the interplay between external and internal institutional variables. The results highlight the importance of matching environmental regulations with firm-specific internal characteristics in order to avoid detrimental effects on firm performance in the power generation sector.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102323"},"PeriodicalIF":5.4,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does horizontal ecological compensation promote the coupled development of ecological environment protection and high-quality economy growth? Evidence from China's circular economy practices","authors":"Qingyuan Shen ,&nbsp;Jintao Lu ,&nbsp;Ilaria Tutore ,&nbsp;Nicola Cucari ,&nbsp;Qingbin Guo","doi":"10.1016/j.seps.2025.102320","DOIUrl":"10.1016/j.seps.2025.102320","url":null,"abstract":"<div><div>The horizontal ecological compensation system is a concrete practical arrangement for the development of a circular economy and an important driving force for promoting the win-win situation of protection and development. We used the Yellow River Basin (Henan–Shandong section) horizontal ecological protection compensation pilot project as a quasi-natural experiment and employed the difference-in-differences method to empirically test the direct impact and mediating effects of horizontal ecological compensation on ecological and environmental protection and high-quality economic development. Results reveal that the implementation of the pilot policy for horizontal ecological compensation can promote the coupled development of ecological environment protection and high-quality economy growth, with a greater impact on ecological environment protection (0.0326) than on high-quality economic growth (0.0171). The three variables of building digital infrastructure, adjusting industrial structure, and improving land resource utilization have a significant positive mediating effect, while the mediating effect of improving water resource utilization has not yet become apparent. The effect of the pilot policy is mainly reflected in the upstream Henan section (0.0291) and has an insignificant negative impact on the downstream Shandong section (−0.0060). The conclusion provides theoretical support for exploring the path to green and high-quality development from the perspective of horizontal ecological compensation and offers an important practical approach for governments worldwide to develop a circular economy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102320"},"PeriodicalIF":5.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The half is more than the whole: How China's economic growth target affects forest eco-efficiency","authors":"Bohao Jin ,&nbsp;Heming Wang","doi":"10.1016/j.seps.2025.102324","DOIUrl":"10.1016/j.seps.2025.102324","url":null,"abstract":"<div><div>With its command economy legacy, China's economic growth target (EGT) can interfere with the health of forest eco-efficiency (FEE). From the ecosystem services perspective, which categorizes outputs into supply, cultural, and regulating services, this study measures FEE of 30 provinces in China from 2006 to 2019. On this basis, this study empirically analyzes the effect of EGT on FEE using fixed effect and threshold regression models. The relevant results are fourfold. (i) FEE initially exhibits volatility before stabilizing, with Fujian leading in average FEE and Hubei recording the peak value in 2016–2017. (ii) EGT shows inverted U-shaped causality on FEE. (iii) Regulatory, normative, and cognitive mechanisms mediate the impact of EGT on FEE, as posited by institutional force theory, and normative and cognitive forces have the 6.5 % threshold value. (iv) Forests that are under community ownership and in regions with higher marketization demonstrate reduced sensitivity to EGT. The study concludes with strategic recommendations for policymakers to bolster sustainable FEE through targeted reforms to advance promotional objectives, refine property rights structure, and enhance ecosystem service compensation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102324"},"PeriodicalIF":5.4,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decision-making in sustainable dual-channel supply chain under carbon trading, risk aversion, and government subsidy policy","authors":"Abhijit Barman ,&nbsp;Shib Sankar Sana","doi":"10.1016/j.seps.2025.102321","DOIUrl":"10.1016/j.seps.2025.102321","url":null,"abstract":"<div><div>In the context of global warming, emissions of greenhouse gases, and growing environmental awareness, decision-making in sustainable supply chains becomes critical, focusing on incorporating re-manufacturing for ecological protection and resource utilization. This paper focuses on a multi-layer sustainable closed-loop supply chain model (SCLSC) under demand uncertainty and govt. subsidy in green manufacturing. Firstly, we formulate a closed-loop framework comprising a green supplier, risk-averse upstream manufacturer, risk-averse downstream retailer, and environmentally conscious collector. Secondly, we incorporate measures aimed at reducing carbon emissions within the supply chain that align with broader sustainability objectives. Thirdly, the influence of government subsidy in green manufacturing activities have been studied. Market demand is sensitive to price, cross-price, green degree, carbon emission levels, and the level of collector’s effort. To achieve the pricing, greening, and effort decision, we analyzed the CLSC model under i)consistency ii)inconsistency pricing strategy. Furthermore, to achieve the best profitability, we demonstrated the supply chain under manufacturer-retailer(MR), manufacturer-collector(MC), and retailer-collector(RC), including decentralized scenarios. The analytical results reveal that the manufacturer-collector coalition can optimize the utilization of resources such as transportation, storage, and processing facilities with higher green levels and supply chain profitability. The numerical illustration also reveals that the inconsistent pricing strategy enables businesses to respond to changes in demand and supply, maximizing revenue potential. In addition, risk-averse behavior reduces uncertainty but negatively impacts the overall performance of the supply chain. Finally, some managerial insights into effective parameters have been discussed to illustrate the sustainability initiatives.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102321"},"PeriodicalIF":5.4,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing a bi-level waste disposal network by integrating environmental protection and sustainable development","authors":"Yuanzhe Liu ,&nbsp;Huili Pei ,&nbsp;Yaxi Zhang ,&nbsp;Naiqi Liu","doi":"10.1016/j.seps.2025.102315","DOIUrl":"10.1016/j.seps.2025.102315","url":null,"abstract":"<div><div>Effective management of construction waste (CW) is not only essential for the rational utilization of resources, but also plays a crucial role in environmental protection and sustainable development. This study proposes a novel bi-level distributionally robust optimization (DRO) model with probabilistic guarantees to address the uncertain construction and treatment costs in the waste disposal network design. Methodologically, we construct an ambiguity set with a sub-Gaussian structure to describe the uncertain parameters. Leveraging the problem’s structural properties and the robust counterpart approximation (RCA) method, our proposed model can be transformed into a computationally tractable mixed integer linear programming (MILP) model. A tailored Benders decomposition (BD) algorithm with two acceleration strategies is designed to solve the resulting MILP model. Our proposed method is validated through a real CW disposal case in Hong Kong. The computational results demonstrate that (i) our model can effectively mitigate the impact of uncertain construction and treatment costs, while incurring a robustness price of approximately 10.75%; (ii) under extremely negative cost fluctuations, our DRO model achieves a 2.29%–9.61% cost advantage over the nominal model; (iii) the accelerated BD algorithm reduces the solution time by 26%–35% compared to the standard BD approach. Besides, this study offers valuable managerial insights for decision-makers in CW management, supporting the development of the optimal waste management strategies that promote sustainable growth in the construction industry.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102315"},"PeriodicalIF":5.4,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-objective optimization for risk mitigation of medical waste disposal reverse logistics network","authors":"Yi Shi,&nbsp;Xingli Wu","doi":"10.1016/j.seps.2025.102322","DOIUrl":"10.1016/j.seps.2025.102322","url":null,"abstract":"<div><div>Given the serious risks medical waste poses to the environment and public health, this paper proposes a multi-objective optimization model to address the location-allocation problem within its reverse logistics network. We design an efficient reverse logistics network for medical waste disposal, featuring treatment centers equipped with incineration-melting technology, and develop a multi-objective optimization model that considers infectious risk, environmental risk, social risk, and total costs to solve the location-allocation problem within the proposed network. To support risk mitigation and cost reduction for the decision maker without prior preference information, we use Monte Carlo simulation to examine the impact of weighting factors on the model's outcomes. The proposed methodology is then applied to a real-world case study in Chongqing, China, to evaluate its applicability and effectiveness. The simulation results demonstrate that the centers in the proposed network are effectively located and medical waste is appropriately allocated across various scenarios, achieving minimum values of 3120.5 for infectious risk, 8.6 for environmental risk, 198.5 for social risk, and 210,617.9 CNY for total costs. Furthermore, the proposed model strikes a balance between risk mitigation and cost reduction, minimizing medical waste management risks without incurring excessive costs and achieving cost savings without compromising risk control efforts.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102322"},"PeriodicalIF":5.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Carbon-economic equilibrium strategy towards a green electric coal supply chain integrated with coalbed methane under low carbon policies and hydropower volatilities","authors":"Siwei Zhao ,&nbsp;Xuewu Chen ,&nbsp;Lu Gan","doi":"10.1016/j.seps.2025.102277","DOIUrl":"10.1016/j.seps.2025.102277","url":null,"abstract":"<div><div>China’s increasingly strict environmental protection policy is posing a major challenge to the energy saving and emission reduction efforts in the electric-coal supply chain. Against the backdrop, the equilibrium between economic cost and carbon emissions in the electric-coal supply chain, based on coalbed methane power-generation application and green supply chain theory, has attracted more and more attention. This paper, with an aim to achieve the equilibrium between the total economic cost and carbon emission reduction, constructs a equilibrium strategy for green electric-coal supply chain (GECSC) integrated with coalbed methane (CBM) under low carbon policies, and then applies the equilibrium strategy to a quantitative simulation based on a practical case. Taking full account of scenarios with different carbon cap and CBM utilization under carbon cap, and carbon cap-and-trading and carbon offset policies, proposition and management insights for carbon-economic equilibrium of green electric-coal supply chain are worked out, which indicates the utility and validity of the equilibrium strategy. In addition, the sensitivities analysis was made on impact of varying carbon prices on the GECSC. Eventually, the GECSC is extended to a resilient GECSC which is able to solve inherent volatilities of hydropower allocated to eastern or coastal areas. The results demonstrate the proposed equilibrium strategy can effectively realize trade-off between economic development, pollutants emission reduction of the green electric-coal supply chain, and ensure the stabilities of its power supply.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102277"},"PeriodicalIF":5.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}