Search Results (211)

Employment promotion and employment realization are the core and fundamental problems in the resettlement of land-expropriated farmers transferred to citizens. To solve this problem, it is necessary to clarify the key factors and mechanisms that affect the employment behavior of “farmers to citizens” workers. Taking the labor force from land-expropriated “farmers to citizens” in the construction of Beijing city sub-center as the research object, this paper utilizes Logistic ISM to determine the key factors affecting the employment behavior of the labor force when changing from rural to urban, as well as the internal logical relationship and hierarchical structure among the influencing factors. The results show that only 40% of the migrant workers in the sample have achieved employment, while 69% of the unemployed population have a willingness to work but are limited by age, skills, and family factors. The logistic regression model identifies that the employment behavior of land-expropriated farmers is significantly affected by 10 factors, including gender, age, work experience, hobbies, employment demand, expenditure change, employment difficulty cognition, government training, policy satisfaction and social security. Among them, ISM further reveals that these factors form a three-level hierarchical mechanism of “structure–cognition–behavior”; gender, social security and policy satisfaction are the deep-root factors, and the intermediate factors, such as hobbies and government training, affect employment demand, employment difficulty cognition and other surface factors, and ultimately affect the employment behavior of land-expropriated “farmers to citizens”. Based on this, it is proposed to start from four aspects: differentiated employment guidance, policy transmission optimization, service efficiency improvement, and industrial driving, to systematically promote the realization of more comprehensive and stable employment for the rural-to-residential population, and provide institutional guarantees and practical paths for their sustainable livelihoods. Full article

Digital Transformation (DTN) and Social Media Use (SMU) are reshaping how firms pursue competitiveness and sustainability. Yet, their combined effects on Sustainable Business Performance (SBP)—particularly in emerging-market retail contexts—remain insufficiently explored. This study contributes to closing this gap by exploring how DTN and SMU jointly enhance SBP through interrelated organizational capabilities: Collaboration Networks (CNS), Service Innovation (SIN), Customer Experience (CEX), Organizational Resilience (ORE), and Competitive Advantage (CAE). A dual-method design was adopted. In Phase 1, twenty-three experts participated in a three-round electronic Delphi (e-Delphi) process, during which Fuzzy C-Means (FCM) clustering was used to refine forty-seven indicators and validate expert consensus. The integration of e-Delphi and FCM clustering introduces a novel approach to consensus validation, enhancing methodological rigor. In Phase 2, survey data from 982 Thai retail executives were evaluated employing Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). The results revealed that DTN and SMU significantly improve SBP when mediated by SIN, CEX, and ORE. Specifically, SMU fosters CNS and SIN, whereas DTN strengthens CEX and CAE. Theoretically, this study integrates the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT); empirically, it provides rare large-scale evidence from Thailand’s retail industry; and practically, it positions DTN as a driving force behind innovation, resilience, and inclusive development consistent aligned with the United Nations Sustainable Development Goals (SDGs). Full article

Social media platforms are currently confronted with a substantial problem concerning the presence of fake accounts, which pose a threat by spreading harmful content, spam, and misinformation. This study aims to address the problem by differentiating between fake and real X accounts (formerly Twitter). The need to mitigate the negative impact of fake accounts on online communities serves as the driving force for this work, with the goal of developing an effective method for identifying fake accounts and their fraudulent activities, such as posting harmful links, engaging in spamming behaviors, and disrupting online communities. The scope of this work focuses specifically on fake Twitter account detection. A comprehensive approach is taken, leveraging user information and tweets to discern between genuine and fake accounts. Various deep learning architectures are proposed and implemented, utilizing different optimizers and evaluating performance metrics. The models are trained and tested using a collected dataset, augmented to cover diverse real-life scenarios. The results show promising progress in distinguishing between fake and real accounts, revealing that the inclusion of tweet content along with user metadata does not significantly improve the classification of fake accounts. It also highlights the importance of selecting appropriate optimizers. The implications of this study are relevant to social media platforms, users, and researchers. The findings provide insights into combating fake accounts and their fraudulent activities, contributing to the enhancement of online community safety. While the research is specific to Twitter, the methodology and insights gained may be potentially generalizable to other social media platforms. Full article

Urban pedestrian-only spaces face challenges like inadequate leisure experiences and user discomfort. To enhance spatial conditions, it is crucial to evaluate various influencing factors. Many studies focus on individual elements, missing the benefits of a comprehensive approach. This study aims to propose a pedestrian behavior prediction model that establishes the relationship between multiple spatial factors and pedestrian distribution. We introduce a two-layer simulation framework for pedestrian dynamics, comprising a tactic layer responsible for path planning and an operational layer for velocity prediction based on the social force model. This framework enhances prediction accuracy, achieving a 46.3% improvement over the conventional model. Moreover, it underscores the importance of a holistic approach, emphasizing the need to consider group dynamics and random behaviors in pedestrian modeling. Full article

Traditional rural settlements face challenges such as external disaster disturbances and increasing morphological vulnerability during the modernization process. Analyzing the morphological resilience of settlements and their external disturbances is crucial for enhancing the sustainable development of traditional villages. This study constructs a “cell–chain–form” framework for evaluating the morphological resilience of rural settlements, based on three biological models. It systematically analyzes the static morphological resilience performance of several typical villages in southern Shaanxi and identifies disturbance factors within the dynamic real-world context. The research methodology includes the use of GIS spatial analysis to calculate resilience indices, hierarchical analysis (AHP) for calculating disturbance indices, and GIS natural break methods for initial classification of resilience. Furthermore, structured questionnaires and SPSS27.0 statistical software were used to assess disturbance factors, followed by the proposal of classification strategies. The results show the following: (1) The construction of the “cell–chain–form” research framework from a bionic perspective provides strong explanatory power for morphological resilience assessment, validating the potential of this research paradigm; (2) Significant differences in morphological resilience were found across sample villages in terms of building layout (“cell”), road network systems (“chain”), and boundary morphology (“form”), with disturbance impacts varying by village; (3) Combining index calculations and questionnaire analysis, it was found that, overall, policy, ecological, and economic disturbance factors have a significantly greater impact than social and cultural factors, with the former serving as the main driving forces and the latter playing an auxiliary role. This study provides a new bionic perspective and theoretical support for strategies aimed at improving the morphological resilience of rural settlements, and offers new insights and methodologies for future research on sustainable rural development. Full article

Global warming has been altering the East Asian climate at an unprecedented rate since the 20th century. In order to evaluate the changes in the East Asian winter climate (EAWC) and support policy-making for climate mitigation and adaptation strategies, this paper utilizes the multimodel ensemble from the Couple Model Intercomparison Project 6 and a temperature threshold method to investigate the EAWC changes during the period 1979–2100. The results show that the EAWC has been undergoing widespread and robust changes in response to global warming. The winter length in East Asia has shortened and will continue shortening owing to later onsets and earlier withdrawals, leading to a drastic contraction in length from 100 days in 1979 to 43 days (27 days) in 2100 under SSP2-4.5 (SSP5-8.5). While most regions of the East Asian continent are projected to become warmer in winter, the Japan and marginal seas of northeastern Asia will face the risks from colder winters with more frequent extreme cold events, accompanied by less precipitation. Meanwhile, the Tibetan Plateau is very likely to have colder winters in the future, though its surface snow amounts will significantly decline. Greenhouse gas (GHG) emissions are found to be responsible for the EAWC changes. GHG traps heat inside the Earth’s atmosphere and notably increases the air temperature; moreover, its force modulates large-scale atmospheric circulation, facilitating an enhanced and northward-positioned Aleutian low together with a weakened Siberian high, East Asian trough, and East Asian jet stream. These two effects work together, resulting in a contracted winter with robust and uneven regional changes in the EAWC. This finding highlights the urgency of curbing GHG emissions and improving forecasts of the EAWC, which are crucial for mitigating their major ecological and social impacts. Full article

Under the strategic goal of agricultural modernization, agricultural socialization services have become an important means of enhancing agricultural efficiency and guaranteeing food security. Based on microdata from 3811 farm households in seven provinces, this paper integrates labor force structural characteristics with digital literacy to construct a comprehensive analytical framework and empirically examines their effects on the degree of access to agricultural socialized services (DASS) through ordered logit model and moderated effects models. The results show that labor force characteristics significantly affect DASS, and the higher the degree of feminization, aging, and part-time employment, the higher the degree of access to services; digital literacy as a whole significantly improves DASS for farm households and shows heterogeneous moderating effects under different labor force characteristics. Therefore, this paper suggests formulating differentiated socialized service promotion strategies, deepening the digitalization of agricultural services, strengthening the digital technology training of rural laborers in various ways, enhancing DASS, effectively improving the efficiency of agricultural production, and supporting the dual goals of food security and rural revitalization. Full article

Examples from urban infrastructure in the United States show that high-level policy reports focused on investment neglect performance improvement, as well as changes in society and technology. A study methodology using systems approaches, institutional analysis, and examples from US situations was used to probe causes and remedies of this policy shortcoming. A conceptual systems model of services and the Maslow hierarchy of needs identified essential services spanning water, energy, transit, and streets management. Drinking water services have greater clarity and were selected to assess actor roles, responsibilities, and actions. The institutional analysis and development framework was used to organize the actors, settings, norms, incentives, rules, and action arenas. Data from the drinking water sector indicated that infrastructure policy reports mix issues and obscure significant impacts on specific sectors. They assume a static view and do not consider transformations in social contracts, alternative technologies, and service delivery methods. Without policy reform, public trust in government services will diminish, but political and administrative realities constrain rational and comprehensive approaches. The drinking water social contract is unlikely to change, but partnerships can incentivize reforms like performance assessment and agency accreditation. Development of a road map for urban infrastructure policy reform will require research by task forces of leading-edge practitioners within categorical arenas like drinking water, electric power, transit, and public works. Full article

One of the greatest benefits of inclusion in general physical education (PE) is the opportunity for social interactions between students with and without disabilities. Unfortunately, interviews with students with disabilities who have participated in PE often find that social interactions with students without disabilities were limited. A model that promotes interaction between students with and without disabilities in PE is Special Olympics Unified Physical Education (UPE). In UPE, students with and without disabilities participate in activities together rather than the one-way focus on traditional peer tutoring. There have been anecdotal reports on the positive benefits of UPE for both students with and without disabilities. To date, there has been no published research on UPE. Additionally, some question how UPE has been implemented in schools, specifically questioning if UPE provided quality PE and whether students with disabilities were forced into UPE and denied opportunities to participate in general PE. The purpose of this qualitative study was to better understand how UPE was developed and implemented in select U.S. schools and the impact on social interactions between students with and without disabilities. Interviews with twelve teachers who were directly involved in their UPE programs revealed the following four major themes: (1) our students were not being served appropriately, (2) a mix of PE standards and Special Olympics programming, (3) UPE is a choice, and (4) our students improved in many ways. The discussion examined the results in relation to the criticisms of UPE and how UPE proved to be a positive alternative to limited social interactions in general PE. Full article

Urban networks are a key force in reshaping regional resilience patterns. However, existing research has not yet systematically elucidated, from a physical–virtual integration perspective, the underlying mechanisms through which composite urban networks shape multidimensional urban resilience in regions confronted with severe environmental and infrastructural challenges. Northwest China, characterized by its extreme arid climate, pronounced core–periphery structure, and heavy reliance on overland transportation, provides an important empirical context for examining the unique relationship between network centrality and the mechanisms of resilience formation. Based on the panel data of 33 prefecture-level cities in northwest China from 2011 to 2023, this article empirically examines the impact of the composite urban network constructed by traffic and information flows on urban resilience from the perspective of network node centrality using a two-way fixed-effects model. It is found that (1) the spatial evolution of urban resilience in northwest China is characterized by “core leadership—gradient agglomeration”: provincial capitals demonstrate significantly the highest resilience levels, while non-provincial cities are predominantly characterized by medium resilience and contiguous distribution, and the growth rate of low-resilience cities is faster, which pushes down the relative gap in the region, but the absolute gap persists; (2) the urban network in this region is characterized by a highly centralized topology, which improves the efficiency of resource allocation yet simultaneously introduces systemic vulnerability due to its over-reliance on a limited number of core hubs; (3) urban network centrality exerts a significant positive impact on resilience enhancement (β = 0.002, p < 0.01) and the core nodes of the city through the control of resources to strengthen the economic, ecological, social, and infrastructural resilience; (4) multi-dimensional factors synergistically drive the resilience, with the financial development level, economic density, and informationization level as a positive pillar. The population size and rough water utilization significantly inhibit the resilience of the region. Accordingly, the optimization path of “multi-center resilience network reconstruction, classified measures to break resource constraints, regional wisdom, and collaborative governance” is proposed to provide theoretical support and a practical paradigm for the construction of resilient cities in northwest China. Full article

This study explores the psychological and social impacts of the forced use of self-service technologies (SSTs) in South Korea’s hospitality and tourism sectors, focusing on perceptions of service dehumanization among different age groups. Grounded in symbolic interactionism theory, the research aims to uncover how reduced interpersonal interaction affects perceived service quality and emotional response. A quantitative approach was employed using data collected from 300 Korean adults (150 older adults and 150 young adults). The study utilized the PROCESS Macro to test mediation effects of reduced human contact, empathy, and authenticity, as well as the moderating role of employee presence in shaping dehumanization perceptions. The results indicate that the mandatory use of SSTs significantly diminishes the perceived social value of service encounters, thereby increasing feelings of dehumanization. This effect is mediated by a reduction in human contact, empathy, and authenticity. Moreover, the presence of employees moderates this relationship, particularly intensifying dehumanization perceptions among older adult participants. Gender was not a significant factor in these perceptions. These findings suggest that while SSTs may improve operational efficiency, their forced implementation can negatively impact customer experience, especially for older adults. Hospitality and tourism providers should consider hybrid service models that maintain optional human interaction to mitigate adverse psychological effects. This study contributes to the limited research on SSTs and service dehumanization by integrating symbolic interactionism theory and highlighting the moderating role of employee presence. It offers novel insights into age-related differences in SST acceptance and the socio-emotional costs of automation in service contexts. Full article

Global policy narratives on livestock development increasingly emphasize environmental concerns, often overlooking the social dimensions of the sector. In the case of dairy, the world’s most valuable agricultural commodity, its role in social and economic development remains poorly quantified. Our study contributes to a more balanced vision of the UN SDGs thanks to the inclusion of a socio-economic dimension. Here we present a novel empirical approach to assess the socio-economic impacts of dairy development using a new global dataset and non-parametric modelling techniques (local polynomial regressions), with yield as a proxy for sectoral performance. We find that as dairy systems intensify, the number of farm households engaged in production declines, yet household incomes rise. On-farm labour productivity also increases, accompanied by a reduction in employment but higher wages. In dairy processing, employment initially grows, peaks, and then contracts, again with rising wages. The most substantial impact is observed among consumers: an increased milk supply leads to lower prices and improved affordability, expanding the access to dairy products. Additionally, dairy development is associated with greater agricultural value added, an expanding tax base, and the increased formalization of the economy. These findings suggest that dairy development, beyond its environmental footprint, plays a significant and largely positive role in social transformation, yet is having to adapt sustainably while tackling labour force relocation, and that dairy development’s social impacts mimic the general agricultural sector. These results might be of interest for the assessment of policies regarding dairy development. Full article

Enhancing market integration levels is crucial for advancing sustainable regional collaborative development and achieving ecological protection and high-quality development goals within the Yellow River Basin, fostering a balance between economic efficiency, social equity, and environmental resilience. This study analyzed the retail price data of goods from prefecture-level cities in the Yellow River Basin from 2010 to 2022, employing the relative price method to measure the market integration index. Additionally, it examined the temporal and spatial evolution patterns and driving factors using the Dagum Gini coefficient and panel regression models. The results indicate the following. (1) The market integration index of the Yellow River Basin shows a fluctuating upward trend, with an average annual growth rate of 9.8%. The spatial pattern generally reflects a situation where the east is relatively high and the west is relatively low, as well as the south being higher than the north. (2) Regional disparities are gradually diminishing, with the overall Gini coefficient decreasing from 0.153 to 0.104. However, internal differences within the downstream and midstream areas have become prominent, and contribution rate analysis reveals that super-variable density has replaced between-group disparities as the primary source. (3) Upgrading the industrial structure and enhancing the level of economic development are the core driving forces, while financial support and digital infrastructure significantly accelerate the integration process. Conversely, the level of openness exhibits a phase-specific negative impact. We propose policy emphasizing the need to strengthen development in the upper reach of the Yellow River Basin, further improve interregional collaborative innovation mechanisms, and enhance cross-regional coordination among multicenter network nodes. Full article

Promoting social equity is a global issue, and common prosperity is an important goal for human society’s sustainable development. This study is the first to examine climate risks’ impacts on common prosperity from the perspective of corporate employees, providing micro-level evidence for the coordinated development of climate governance and social equity. Employing data from companies listed on the Shanghai and Shenzhen stock exchanges from 2016 to 2023, a fixed-effects model analysis was conducted, and the results showed the following: (1) Climate risks are positively associated with the common prosperity of corporate employees in a significant way, and this effect is mainly achieved through employee guarantees, rather than employee remuneration or employment. (2) Climate risk will increase corporate financing constraints, but it will also force companies to improve their ESG performance. (3) The mechanism tests show that climate risks indirectly promote improvements in employee rights and interests by forcing companies to improve the quality of internal controls and audits. (4) The results of the moderating effect analysis show that corporate size and performance have a positive moderating effect on the relationship between climate risk and the common prosperity of corporate employees. This finding may indicate the transmission path of “climate pressure—governance upgrade—social equity” and suggest that climate governance may be transformed into social value through institutional changes in enterprises. This study breaks through the limitations of traditional research on the financial perspective of the economic consequences of climate risks, incorporates employee welfare into the climate governance assessment framework for the first time, expands the micro research dimension of common prosperity, provides a new paradigm for cross-research on ESG and social equity, and offers recommendations and references for different stakeholders. Full article

With accelerated population aging, the importance of older adults’ self-rated health is constantly increasing. Self-rated health is influenced by complex relationships between the built environment and psychosocial factors. Therefore, this study constructs a pathway framework of “material (housing quality and environmental pollution)–psychological (depression and social capital)–self-rated health” elements to explore the influencing mechanism of older adults’ self-rated health. This study utilized the 2018 China Labor Force Dynamics Survey Database to explore the relationship between built environment factors (housing quality and environmental pollution), depression, social capital, and older adults’ self-rated health, using structural equation modeling. The heterogeneity between urban and rural areas is also analyzed. Better housing quality and less environmental pollution were found to be related to higher levels of self-rated health. Depression and social capital were important mediators in the relationship between housing quality, environmental pollution, and self-rated health. Regarding urban–rural heterogeneity, the direct impact of environmental pollution on self-rated health was only significant among urban older adults. Secondly, the multiple mediating roles of social capital were only reflected among rural older adults. The government and relevant entities should promote improvements in housing quality and reduce environmental pollution to achieve a healthy and livable environment. Full article