Socio-economic Planning Sciences最新文献

{"title":"The drivers of forest carbon sink density changes in China under forest area heterogeneity: A production-theoretical decomposition analysis","authors":"Yan Huang ,&nbsp;Mengjiao Zhang ,&nbsp;Nan Wu ,&nbsp;Jinhuang Lin","doi":"10.1016/j.seps.2025.102162","DOIUrl":"10.1016/j.seps.2025.102162","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102162"},"PeriodicalIF":6.2,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134743","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":"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}

{"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}

{"title":"Mathematical programming in public bus transit design and operations: Emerging technologies and sustainability – A review","authors":"Reza Mahmoudi ,&nbsp;Saeid Saidi ,&nbsp;Ali Emrouznejad","doi":"10.1016/j.seps.2025.102155","DOIUrl":"10.1016/j.seps.2025.102155","url":null,"abstract":"<div><div>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&amp;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&amp;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&amp;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&amp;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&amp;OPP and inspire further research endeavors.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102155"},"PeriodicalIF":6.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid optimization approach for designing sustainable intermodal freight transport under mixed uncertainty","authors":"Shahab Rahiminia ,&nbsp;Amir Mehrabi ,&nbsp;Armin Jabbarzadeh ,&nbsp;Mohsen Pourseyed Aghaee","doi":"10.1016/j.seps.2024.102146","DOIUrl":"10.1016/j.seps.2024.102146","url":null,"abstract":"<div><div>Intermodal freight transport stands out as an innovative logistics solution for combating climate change. However, the intricacies of planning resilient and sustainable intermodal freight transport systems necessitate further investigation. Addressing this critical research gap, this paper introduces a pioneering hybrid optimization framework tailored for designing a robust rail-road intermodal network that prioritizes sustainability while navigating disruptions and operational uncertainties. This framework adopts a multi-period approach to model intricate intermodal operations, including mode-switching activities. It strategically determines optimal locations for intermodal terminals and makes tactical decisions regarding inventory management and transport planning. The goal is to enhance the sustainability performance of intermodal terminals while simultaneously minimizing the overall total cost and carbon emissions of the network. The sustainability assessment of intermodal terminals employs a variant of network data envelopment analysis, considering a range of conflicting measures. Furthermore, the proposed optimization approach integrates P-robust and possibilistic chance-constraint programming to effectively mitigate disruption risks and operational uncertainties inherent in intermodal networks. To validate the efficacy of the proposed approach, two datasets are utilized, including a real-world case study of rail-road intermodal freight transport. The numerical findings showcase the significant benefits of this approach, demonstrating a remarkable 24 % reduction in maximum regret with a negligible 1.4 % increase in expected cost, highlighting its potential for sustainable and resilient intermodal freight transport systems. This research provides valuable insights for freight transport companies to enhance resilience against disruptions and manage operational uncertainties, while also contributing to societal goals of sustainable development through reduced environmental impacts.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102146"},"PeriodicalIF":6.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134736","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":"Risk management of the vaccine supply chain: Interactions of risk factors and control strategies","authors":"Manyi Yang ,&nbsp;Shaojian Qu ,&nbsp;Ying Ji ,&nbsp;Zhisheng Peng","doi":"10.1016/j.seps.2025.102153","DOIUrl":"10.1016/j.seps.2025.102153","url":null,"abstract":"<div><div>Existing research on vaccine supply chain (VSC) risk management often focuses on transportation or production stages or simply lists risk factors, lacking comprehensive identification and exploration of their interrelationships. This paper aims to address this gap by identifying and systematically analyzing risk factors in the single-dose COVID-19 VSC, emphasizing their structural hierarchy, interrelationships, and relative importance. The study summarizes VSC risk factors using the Supply Chain Operations Reference (SCOR) model. It innovatively combines Total Interpretive Structural Modeling (TISM) with Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) and complex network theory. This yields the TISM hierarchical model, a driving power-dependence matrix, and comprehensive importance values for all risk factors. The TISM model reveals that risk awareness level, human resource level, and supplier selection capability are at the base level, functioning as fundamental factors with deep regulatory effects. The driving power-dependence matrix indicates that risk awareness level, human resource level, and supplier selection capability are independent factors characterized by high driving power and low dependence. The comprehensive importance calculations rank delivery integrity and product quality level at the top. Furthermore, sensitivity analysis is also performed to check the robustness of the proposed model. Understanding the relationships between risk factors, elucidating their logical explanations, and identifying key risk factors enable stakeholders to better manage risks and stabilize VSC operations.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102153"},"PeriodicalIF":6.2,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134733","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":"Tracks to tech equity: How high-speed rail bridges the digital divide within cities? Prefecture-level evidence from China","authors":"Hang Yuan,&nbsp;Wei Feng","doi":"10.1016/j.seps.2025.102152","DOIUrl":"10.1016/j.seps.2025.102152","url":null,"abstract":"<div><div>As a cross-regional infrastructure and major public project, high-speed rail (HSR) can significantly impact regional economic development, but few studies focus on its effects on intra-regional inequality. This study takes the opening of HSR stations as a quasi-natural experiment and employs a staggered difference-in-differences (DID) model to empirically examine the characteristics and mechanisms of HSR's impact on intra-city digital inequality. The results show that: (1) The opening of HSR stations reduces digital inequality within a city, mainly because it significantly enhances the digital development level of disadvantaged counties compared to advantaged ones. (2) Mechanism analysis indicates that HSR reduces the digital divide by stimulating innovation equilibrium, financial equilibrium, and local fiscal revenue equilibrium effects within a city. (3) Heterogeneity analysis shows that HSR significantly impacts internal digital inequality only in high-slope, economically underdeveloped, and peripheral areas. (4) Spatial tests reveal that HSR also helps reduce digital inequality within neighboring cities. This study not only enriches the theoretical understanding of the economic effects of HSR development but also provides policy insights on how regions can eliminate digital inequality and close intra-regional digital divides.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102152"},"PeriodicalIF":6.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134732","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":"Convergence of sustainable development goals evolution and Five-Year Plans reform: Lessons from China","authors":"Zhibin Hu,&nbsp;Guangdong Wu,&nbsp;Tao Wang,&nbsp;Haixia Yuan","doi":"10.1016/j.seps.2025.102156","DOIUrl":"10.1016/j.seps.2025.102156","url":null,"abstract":"<div><div>Although the Sustainable Development Goals (SDGs) offer a comprehensive and interconnected framework for evaluating sustainable development worldwide, few studies have integrated the influence of national policy formulation and implementation on the interdependencies between SDGs. Accordingly, this study adopts the social network analysis (SNA) approach to construct indicators networks at different stages, and extracts related keywords from China's Five-Year Plans (FYPs) through text analysis. Moreover, the keywords from the FYPs across four periods are aligned with the SDG networks to assess their convergence. The findings indicate that the SDGs networks show distinct characteristics over four stages, shifting from high aggregation to more dispersed structures. As the FYPs progress, China's SDGs evolve from a focus on poverty reduction (G1) and economic growth (G8) to prioritizing climate change (G13) and global partnerships (G17), reflecting the socio-economic reforms of the times in China. Additionally, the stability of the SDGs network increases throughout the four-stage progression as the FYPs are refined. The findings strengthen understanding of sustainable development in China and may provide key insights to help prioritize actions to achieve as many SDGs as possible by 2030.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102156"},"PeriodicalIF":6.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134729","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":"Publicness in highway projects: A multi-criteria decision-making approach to public-private partnerships","authors":"Eun Hak Lee ,&nbsp;Ho-Chul Park","doi":"10.1016/j.seps.2025.102154","DOIUrl":"10.1016/j.seps.2025.102154","url":null,"abstract":"<div><div>The public-private partnership has emerged as a solution for efficiently implementing highway construction projects. However, PPP tends to focus on profitability, which raises concerns about compromising publicness. This study evaluated the publicness of highway projects by comparing two types, i.e., government-funded and privately-invested. Various performance indicators related to highways were reviewed, and the analytic hierarchy process was employed to estimate publicness scores. Based on expert surveys, five key indicators were selected, i.e., benefit-cost ratio, equity, consistency, toll ratio, and road functional classification. The weights assigned to these indicators were 0.580, 0.121, 0.088, 0.078, and 0.134, respectively. The proposed framework was applied to eight highway projects from the national transport plan in South Korea. Each indicator for the projects was evaluated on a 9-point scale, and the weighted scores were calculated by multiplying each indicator score by the respective weight. The overall publicness score for each project was then determined by summing the weighted scores of the five indicators. The results showed that six projects were estimated to be more beneficial with government funding. Conversely, two projects were estimated to be more beneficial with private investment. The publicness score for each project type was significantly impacted by two indicators, i.e., toll ratio and road functional classification. This framework supports decision-making regarding publicness by incorporating the perspectives of operators, private investors, and users.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102154"},"PeriodicalIF":6.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134731","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":"Beyond the land quantity: Rethinking the role of land quality in agriculture from the efficiency perspective","authors":"Baishu Guo,&nbsp;Gui Jin","doi":"10.1016/j.seps.2024.102151","DOIUrl":"10.1016/j.seps.2024.102151","url":null,"abstract":"<div><div>With the development of production frontier theory, the technical efficiency analysis framework integrating quantitative and quality indicators has become a new trend. Few studies have tried to embed land quality as an input into the technical efficiency analysis, but the discussion on the scientificity and necessity of the selected indicators is still insufficient. This study selected soil organic carbon (SOC) as the characteristic index of land quality and embedded it into the parametric directional distance function to discuss the difference between the unconstraint model and constraint model. The results show that regarding the econometric test, the model with SOC has better realistic interpretation ability. Regarding technical efficiency, the model without SOC cannot reflect the actual characteristics of agricultural production. Regarding shadow price, the ideal market value of SOC is much higher than that for land quantity. Regarding substitution elasticity, the SOC cannot be substituted by land quantity in arable land use. We propose to select key indicators from the soil that participate in the crop growth process, serve as components of crop nutrients, and have a positive correlation with crop yield as representative indicators of land quality to be incorporated into the production function after the necessary and scientific systematic evaluation of the indicators to promote the sustainable use of land resources.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102151"},"PeriodicalIF":6.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134505","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}