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Enhancing food security at the last-mile: A light-weight and scalable decision support system for the public distribution system in India
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-27 DOI: 10.1016/j.seps.2025.102166
S. Sivanandham , S. Srivatsa Srinivas
Emanating from the food shortages in the 1960s, the public distribution system (PDS) in India has undergone various transformations through the years to expand food security across different regions of the country. Food grains, procured from the farmers, are processed in mills and transported from the central warehouses to the district warehouses and then finally to the fair price shops in the district. Given the district administration's role in managing public distribution operations by contracting with cooperatives who provide logistics services at the last mile, we develop a light-weight and scalable operations research-based decision support system for food grain distribution from the district warehouses to the fair price shops. Our study focusses on the last-mile distribution in the Ramanathapuram district of Tamil Nadu, India wherein the food grains need to be transported from the eight district warehouses associated with different cooperatives to the fair price shops. Given the current mapping of the district warehouses to the fair price shops, we establish the baseline by running the vehicle routing problem for each district warehouse to arrive at the baseline distances for each district warehouse and the entire district. Subsequently, we perform a remapping of the district warehouses to the fair price shops by running a relaxed version of the assignment problem and then run the vehicle routing problem over these revised clusters. Results indicate that 9% savings in total transportation costs is generated with the remapping procedure. Our light-weight decision support system acts as a valuable policy tool to the district administrators in establishing contracts with the cooperatives for each district warehouse, with implications for scaling it across the country.
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引用次数: 0
Deprivation cost theory in humanitarian relief: A literature review and prospects
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-24 DOI: 10.1016/j.seps.2025.102168
Sheng Zhong, Longsheng Wang
The concept of deprivation cost, which directly quantifies human suffering, has been extensively applied in humanitarian relief operations across various disaster scenarios. The recent COVID-19 pandemic has introduced a novel context for the study of deprivation cost. The methodologies for applying deprivation cost may vary significantly across different scenarios, indicating a potential correspondence between the application methods and specific scenarios. To advance the development of deprivation cost theory and its application to biological disasters, this study systematically reviews 58 studies sourced from the Scopus and WoS databases, synthesizing diverse insights contributed by existing research on deprivation cost modeling methodologies. Drawing on various scenarios, the study examines the selections related to the characteristics of deprivation cost, functional forms, objective functions, assumptions, and calculation methods. Upon constructing the theoretical and applied framework, the study investigates the specific characteristics of deprivation cost research in biological disasters, concluding with suggestions for future research directions.
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引用次数: 0
Managing production capacity reserves for emergency supplies: A public-private option contract model with a loss-averse supplier
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-19 DOI: 10.1016/j.seps.2025.102164
Ning Yu , Jun Tian , Gengzhong Feng , Yang Liu , Mohammad Moshtari
The use of contracts to formalize public-private framework agreements (FAs) for emergency supplies reserves has attracted significant attention. Humanitarian decision-makers (HDMs) are increasingly focused on production capacity reserves besides physical emergency stockpiles. Yet, suppliers cooperating with the HDMs often exhibit diverse behavioral preferences, which may cause their decisions to deviate from perfect rational decision-making. To bridge this gap, this paper considers a loss-averse supplier and builds a model of production capacity reserves, wherein production capacity can be capable of being swiftly converted into tangible products to meet urgent demands. The authority's order quantity of emergency options is determined, as is the supplier's reserve amount of production capacity. A comparative analysis reveals that the loss-averse supplier may exhibit two reservation biases compared to a risk-neutral body, i.e., over- and under-stocking of production capacity. When the aspiration level of unit profit drops below zero, overstocking gradually transitions to understocking as the authority's regular inventory level of emergency supplies lowers. Moreover, we uncover the relationship between the unit cost of booking options and the price of emergency purchases such that the supplier's reserve amount of production capacity matches the authority's order decision. Meanwhile, two specific conditions under which the humanitarian supply chain could achieve coordination are presented. Finally, there exists an optimal reservation price that is agreed on by all humanitarian members and benefits them. Overall, exploring the effects of individual preferences on the stockpiling of emergency production capacity provides significant insights for effectively managing emergency production capacity reserves, maintaining the coordination of the humanitarian system, and screening qualified suppliers.
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引用次数: 0
Evaluation of Green Deal compliance performance with a hybrid comparative multi-attribute decision model
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-17 DOI: 10.1016/j.seps.2025.102163
Mehmet Karadag , Muhammet Gul , Melih Yucesan , Miguel Ortiz-Barrios , Alessio Ishizaka , Jehangir Khan
The environmental and economic transformation initiated by the European Green Deal is influencing not only EU member states, but also other countries engaged in trade with the EU. This transformation mandates a shift towards sustainable practices in sectors such as agriculture, industry, transportation, energy, and finance. Compliance with the Green Deal is increasingly crucial for countries, particularly those with significant commercial ties to the EU. However, differing levels of development lead to varying degrees of implementation. While studies on the Green Deal compliance of EU member states exist, an evaluation of Türkiye—a candidate EU member with substantial trade relations—would address a significant gap in the literature. This study introduces a novel hybrid comparative multi-attribute decision model that combines subjective (Best Worst Method and its derivatives) and objective (Entropy) weighting to determine the relative importance of 14 sub-criteria under three main criteria: “Reducing” the impacts of climate change, “Protecting” the planet and health, and “Enabling” a green and just transition. Using the Ratio Product Model (RPM), Türkiye's Green Deal compliance from 2017 to 2021 was evaluated. Sensitivity analysis was conducted to validate the robustness of the findings, and comparisons were made using various multi-attribute decision models, including SAW, TOPSIS, and VIKOR, as well as benchmarking against EU countries. The criteria weights, derived from a combination of subjective and objective methods, highlighted the dominant importance of the “Reducing” criterion across all methods. The “Enabling” and “Protecting” criteria showed slight variations in importance depending on the method. The RPM results indicated that 2021 was Türkiye's best-performing year in terms of Green Deal compliance, while 2017 showed the weakest performance. Despite some fluctuations between 2018 and 2019, Türkiye demonstrated significant progress overall. The study not only advances the methodology for evaluating Green Deal compliance but also provides actionable insights for policymakers and industry stakeholders, enabling more informed decision-making. By highlighting Türkiye's trajectory, the findings offer strategic guidance for non-EU countries aiming to align with Green Deal objectives, fostering sustainable development and strengthening economic ties with the EU.
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引用次数: 0
The PLS-PM approach to analyze the quality of health services over time
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-15 DOI: 10.1016/j.seps.2025.102159
Corrado Crocetta , Laura Antonucci , Rosanna Cataldo , Maria Gabriella Grassia , Marina Marino , Rocco Mazza
The study of the quality of services provided in the health sector plays a fundamental role in applied statistical studies. The work focuses on using Structural Equation Modeling Path Modeling as a valuable way to analyze longitudinal data relating to the level of the satisfaction expressed with respect to a selection of public and private operators. The aim of the study is to develop an experimental model to measure the level of satisfaction with the services provided by an external organization over time. In the work, the data used result from a survey on the services offered by Sanita’ Service s.r.l. at the ASL (local health organization) agencies in Foggia.
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引用次数: 0
ANP/GCR-based SWOT method for making group strategic decisions with consensus reaching
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-15 DOI: 10.1016/j.seps.2025.102160
Yuan-Wei Du , Ya-Lu Sun , Qun Chen
The Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis serves as an effective strategic tool for identifying both internal and external factors influencing an organization. However, traditional SWOT analysis tends to be highly subjective and often overlooks critical aspects such as the dynamics of decision-making groups, dependencies among influencing factors, uncertainties in the decision-making environment, and conflicting opinions within groups. To address these limitations, we propose a method that integrates the Analytic Network Process/Generalized Combination Rule (ANP/GCR)-based SWOT method for making group strategic decisions with consensus reaching. Initially, decision information is extracted based on the knowledge structure of expert group members. Subsequently, this group information is synthesized using the GCR; this synthesis considers the importance of each expert's input and the reliability of their respective decision information. Following this step, a consensusreaching model is employed to derive decision information that meets experts' satisfaction levels. Finally, we utilize the ANP method to identify optimal strategic alternatives. The effectiveness of our proposed approach is illustrated through a case study focused on strategic decision-making for enhancing ecological practices in marine ranching, and its validity is further supported by comparative analyses.
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引用次数: 0
The drivers of forest carbon sink density changes in China under forest area heterogeneity: A production-theoretical decomposition analysis
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-13 DOI: 10.1016/j.seps.2025.102162
Yan Huang , Mengjiao Zhang , Nan Wu , Jinhuang Lin
Global temperatures continue to rise, and mitigating climate change has become a common global challenge. As a nature-based solution, forest carbon sink has received high recognition from the international community for its role in mitigating climate change. However, traditional production theory decomposition analysis (PDA) fails to consider regional heterogeneity when exploring the drivers of forest carbon sink. To better formulate strategies for enhancing forest carbon sink based on the specific conditions of each region, this study proposes a PDA method integrated with the meta-frontier model. The new model applied to the forest carbon sink density (FCSD) of 30 provinces in China in 2018. It analyses the driving mechanisms of forest land area inputs, forest pests and diseases infestations, and heterogeneity on the FCSD in state-owned forest areas, southern collective forest areas, and mixed forest areas. The model decomposes them into three primary factors and three substitute factors. The study results indicate the following: (1) After considering heterogeneity, the FCSD shifted from state-owned forest areas toward southern collective forest areas, further indicating that state-owned forest areas still have significant potential for improving forest carbon sink; (2) Further analysis of the two-stage factor substitution effects unrelated to heterogeneity reveals that the varying degrees of substitution among forest land, labor, and capital have different impacts on FCSD; (3) The primary driving factors differ among different forest areas. Results from multiple factors indicate that mixed forest areas perform poorly, further widening forest carbon sink distribution gaps nationwide.
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引用次数: 0
Does public satisfaction with government environmental performance promote their participation in environmental protection?
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-10 DOI: 10.1016/j.seps.2025.102161
Huanyu Jia, Boqiang Lin
Effective public participation is a key element of sustainable environmental governance. Despite high levels of concern about pollution among Chinese citizens, their actual participation in governance activities remains suboptimal. Local governments, as socio-economic planning policy makers, may significantly shape individuals’ behavior, yet this influence has not been fully explored. This study investigates how public satisfaction with government environmental performance affects their willingness and actual participation in environmental protection efforts, drawing on the latest data from the Chinese Social Survey. The results show that individuals who express higher satisfaction with government environmental performance are more likely to exhibit greater willingness and active involvement in voluntary environmental initiatives. Mechanism analysis reveals that greater public recognition enhances environmental awareness and government credibility. This research provides critical insights for public sector decision-making, emphasizing that improving government performance in environmental governance can foster sustainable public engagement.
{"title":"Does public satisfaction with government environmental performance promote their participation in environmental protection?","authors":"Huanyu Jia,&nbsp;Boqiang Lin","doi":"10.1016/j.seps.2025.102161","DOIUrl":"10.1016/j.seps.2025.102161","url":null,"abstract":"<div><div>Effective public participation is a key element of sustainable environmental governance. Despite high levels of concern about pollution among Chinese citizens, their actual participation in governance activities remains suboptimal. Local governments, as socio-economic planning policy makers, may significantly shape individuals’ behavior, yet this influence has not been fully explored. This study investigates how public satisfaction with government environmental performance affects their willingness and actual participation in environmental protection efforts, drawing on the latest data from the Chinese Social Survey. The results show that individuals who express higher satisfaction with government environmental performance are more likely to exhibit greater willingness and active involvement in voluntary environmental initiatives. Mechanism analysis reveals that greater public recognition enhances environmental awareness and government credibility. This research provides critical insights for public sector decision-making, emphasizing that improving government performance in environmental governance can foster sustainable public engagement.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102161"},"PeriodicalIF":6.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134804","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}
引用次数: 0
Promoting safe and pro-environmental behaviors for sustainable forest management: Integrating technology acceptance model and the norm activation model
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-07 DOI: 10.1016/j.seps.2025.102158
Moslem Savari , Bagher Khaleghi
In recent decades, Iran's forest resources have faced severe threats due to overexploitation. This study aims to identify key factors influencing stakeholders' intentions to adopt forest conservation behaviors, utilizing a hybrid framework that combines the Technology Acceptance Model (TAM) and the Norm Activation Model (NAM). A survey-based methodology, supported by a questionnaire and analyzed using Structural Equation Modeling (SEM), was employed. The study focused on rural households living in or near the Arasbaran forests of northwestern Iran. Results indicate that the integration of TAM and NAM provides valuable insights into sustainable forest management by addressing both functional and normative motivations. The proposed framework explained 66.4 % of the variance in rural households' intentions to engage in conservation behaviors. Notably, awareness of the consequences of forest conservation emerged as the most significant predictor. These findings suggest that policymakers should prioritize raising awareness about the impacts of forest preservation to foster environmentally responsible behavior and mitigate resource depletion.
{"title":"Promoting safe and pro-environmental behaviors for sustainable forest management: Integrating technology acceptance model and the norm activation model","authors":"Moslem Savari ,&nbsp;Bagher Khaleghi","doi":"10.1016/j.seps.2025.102158","DOIUrl":"10.1016/j.seps.2025.102158","url":null,"abstract":"<div><div>In recent decades, Iran's forest resources have faced severe threats due to overexploitation. This study aims to identify key factors influencing stakeholders' intentions to adopt forest conservation behaviors, utilizing a hybrid framework that combines the Technology Acceptance Model (TAM) and the Norm Activation Model (NAM). A survey-based methodology, supported by a questionnaire and analyzed using Structural Equation Modeling (SEM), was employed. The study focused on rural households living in or near the Arasbaran forests of northwestern Iran. Results indicate that the integration of TAM and NAM provides valuable insights into sustainable forest management by addressing both functional and normative motivations. The proposed framework explained 66.4 % of the variance in rural households' intentions to engage in conservation behaviors. Notably, awareness of the consequences of forest conservation emerged as the most significant predictor. These findings suggest that policymakers should prioritize raising awareness about the impacts of forest preservation to foster environmentally responsible behavior and mitigate resource depletion.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102158"},"PeriodicalIF":6.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134734","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}
引用次数: 0
Mathematical programming in public bus transit design and operations: Emerging technologies and sustainability – A review
IF 6.2 2区 经济学 Q1 ECONOMICS Pub Date : 2025-01-07 DOI: 10.1016/j.seps.2025.102155
Reza Mahmoudi , Saeid Saidi , Ali Emrouznejad
Public bus transit service (PBTS) is recognized as a highly effective mode of transportation, offering accessibility, affordability, and adaptability that contribute to its critical role in transportation networks. The extensive literature on PBTS encompasses various aspects, with mathematical programming emerging as a widely employed methodology to tackle the public bus transit network design and operations planning problem (PBTNDP&OPP). In this paper, first, we employ the critical path method (CPM) to visually map the development of existing literature on the application of mathematical programming in PBTND&OPP by focusing on manuscripts published in top-tier journals. The objective is to identify key sub-problems extensively studied in the literature and recently emerging topics. Then, we conduct a comprehensive review of recent applications of mathematical programming in PBTND&OPP, encompassing sustainable and green practices, as well as emerging transportation technologies and modes within PBTS. These two sub-problems have been identified as recently emerged and hot topics in the literature of mathematical programming and PBTND&OPP, based on the provided CPM in the first step. Selected papers for each sub-problem are examined, providing insights into problem formulation, objective functions, decision variables, demand patterns, network structures, and key findings. Based on the literature review, we systematically identify research gaps in each sub-problem and offer directions and suggestions for future studies. While there is a considerable body of literature that has applied mathematical programming to investigate these two emerging topics, our review highlights that the existing literature is still in the early stages of development. Hence, numerous problems relating to these topics remain ripe for exploration through mathematical programming. Examining the effects of sustainable development policies or the introduction of emerging technologies on the reliability and long-term performance of PBTSs represents a significant gap in current research. On the methodological side, the main gap in the literature is the absence of efficient hybrid approaches, where mathematical programming is integrated with other approaches to provide more robust results and to capture the dynamics of PBTSs. Our work aims to advance knowledge in the field of PBTND&OPP and inspire further research endeavors.
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Socio-economic Planning Sciences
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