Search Results (341)

The electrification of transport is vital to achieving global climate targets, with electric vehicles (EVs) positioned as a sustainable alternative to fossil fuel–based mobility. However, the scalability of EV adoption hinges on the accessibility, reliability, and user experience of public charging infrastructure. As China leads the world in EV adoption, Shanghai represents a critical case for evaluating user satisfaction in a megacity context where infrastructure density, urban planning, and consumer behavior intersect. Despite significant investments in expanding charging facilities, limited empirical research has examined how users perceive and interact with Shanghai’s public EV charging network. This study addresses that gap through a quantitative, user-centered analysis of responses from 197 EV users using the QUESS-PAC framework (Quantitative User Experience Survey Strategy for Public EV Charging Analysis in Cities). A structured questionnaire assessed satisfaction across multiple dimensions: infrastructure layout, convenience, pricing, ease of use, safety, and lighting. Using SPSS (v28), descriptive analysis and multiple regression were conducted to identify key determinants of satisfaction. The findings indicate low overall user satisfaction, with critical weaknesses in location planning, cost transparency, and interface usability. Regression analysis highlights four significant predictors of satisfaction—layout, ease of use, pricing, and lighting—with charging price emerging as the most influential factor. This study’s unique contribution lies in the development and application of the QUESS-PAC framework, which integrates quantitative UX metrics with behavioral and spatial dimensions to provide a more systematic assessment than prior descriptive studies. It emphasizes the need for integrated planning that combines spatial equity, service design, and behavioral insights. Based on the analysis, policy recommendations are proposed to enhance satisfaction and encourage adoption. These findings offer transferable insights for global cities navigating the electrification of transport. Full article

Electromobility provides an effective solution for developing countries to reduce dependence on fossil fuels, enhance energy security, and increase environmental sustainability. The current study evaluates the feasibility of implementing electric vehicles (EVs) powered by renewable energy in developing countries. Based on qualitative methods, including expert interviews, it discusses existing transportation systems, the benefits of EVs, and significant constraints such as poor infrastructure, high initial investment, and ineffective policy structures. Evidence further suggests that EV adoption is likely to bring considerable benefits, particularly in cities with high population densities, adequate infrastructure, and supportive regulations that facilitate rapid adoption. Countries like India and Kenya have reduced their fuel import bills and created new jobs. At the same time, cities such as Bogota and Nairobi have seen improved air quality through the adoption of electric public transit. However, the transition requires investments in charging infrastructures and improvements in power grids. Central to this is government backing, whether through subsidy or partnership. Programs like India’s Faster Adoption and Manufacturing of Hybrid and Electric Vehicles (FAME) initiative and China’s subsidy program are prime examples of such support. The study draws on expert interviews to provide context-specific insights that are often absent in global EV discussions, while acknowledging the limitations of a small, regionally concentrated sample. These qualitative findings complement international data and offer grounded implications for electromobility planning in developing contexts. It concludes that while challenges remain, tailored interventions and multi-party public–private partnerships can make the economic and environmental promise of electromobility in emerging markets a reality. Full article

Digital economy has profoundly reshaped the global trade landscape, yet its implications for agricultural trade, particularly in major agricultural trading countries, remain relatively underexplored. Using provincial panel data from China covering the period from 2013 to 2023, this study investigates whether digital economy development in China’s agricultural trade generates a digital dividend or instead exacerbates a digital divide. We construct a unified analytical framework and employ two-way fixed-effects models to identify the effects and underlying mechanisms. The results indicate that digital economy development significantly enhances overall agricultural trade performance. Mechanism analyses further show that this effect operates primarily through improvements in agricultural total factor productivity and the upgrading of rural human capital. Notably, the trade-enhancing effects of the digital economy exhibit pronounced regional heterogeneity. These effects are concentrated mainly in eastern and northern regions and are substantially stronger in non-grain-producing areas, while remaining statistically insignificant in central and western regions. This study contributes to the literature by providing a regionally differentiated assessment of the relationship between the digital economy and agricultural trade. It also offers policy implications for narrowing the digital divide through coordinated investments in digital infrastructure, productivity enhancement, and human capital accumulation. Full article

Rural revitalization constitutes a vital strategic initiative in advancing China’s socialist modernization. At the 2023 Central Economic Work Conference, the objective of building China into a financial powerhouse was formally articulated, thereby establishing higher benchmarks for financial support of rural revitalization. A critical question arising from this agenda is how to simultaneously advance agricultural technological innovation while effectively implementing green development principles. Accordingly, it is essential to investigate the role of the integrated development of sci-tech finance and green finance in promoting rural revitalization. Against this backdrop, this study employs provincial-level panel data from China spanning the period from 2011 to 2021. A two-way fixed effects model is adopted to examine the impact of the integrated development of sci-tech finance and green finance on rural revitalization. The analysis identifies three primary transmission mechanisms: financial supply, green agricultural development, and linkages between smallholder farmers and modern agriculture. Furthermore, the study explores heterogeneity across different financial environments from two dimensions: the level of digital inclusive finance development and the intensity of financial regulation. The empirical results indicate that (1) the integrated development of sci-tech finance and green finance significantly promotes rural revitalization, exhibiting a nonlinear effect whereby its catalytic impact intensifies markedly once the coupling coordination between the two surpasses a critical threshold; (2) such integration alleviates rural financing constraints, enhances agricultural green total factor productivity, and facilitates rural revitalization through the establishment of green agricultural cooperatives; and (3) the enhanced impact of this holistic progress is particularly noticeable in areas with advanced digital financial inclusion and robust financial oversight. In light of these results, this research puts forth three policy suggestions. First, institutional and policy preparations for integrating green finance and sci-tech finance should be accelerated through coordinated government policies, financial product innovation, and financial market reforms. Second, the channels through which sci-tech finance and green finance support rural revitalization should be strengthened by expanding agricultural credit, improving the coverage of rural financial institutions, and fostering specialized green agricultural cooperatives. Third, the financial ecosystem should be optimized by prioritizing investment in digital infrastructure and reinforcing financial supervision throughout the development of digital inclusive finance, particularly in rural regions. Full article

Industrial development is a fundamental driver of socio-economic progress, and industrial structure upgrading plays a vital role in advancing rural revitalization. Based on county-level panel data from Fujian Province from 2017 to 2022, this study employs Ordinary Least Squares (OLS) and spatial econometric models—including the Spatial Lag Model (SLM) and Spatial Error Model (SEM)—to empirically assess the impact of county-level industrial structure upgrading on rural revitalization, as well as its spatial transmission mechanisms. The findings reveal that: (1) an increase in the proportion of secondary and tertiary industries significantly enhances the rural revitalization development index at the 1% level of significance; (2) rural revitalization development exhibits strong spatial dependence and positive spatial spillover effects, indicating a “local club convergence” pattern among neighboring counties; and (3) the SEM outperforms OLS and SLM, suggesting that inter-county disparities in rural revitalization primarily result from spatial heterogeneities such as infrastructure and public service quality. Additionally, factors such as transportation accessibility, social public services, and per capita GDP have significant positive effects, while the impact of fiscal agricultural investment appears limited. This study provides empirical evidence to support coordinated development between industrial upgrading and rural revitalization strategies and offers policy insights for constructing an integrated and regionally synergistic framework for rural development in China. Full article

The social sustainability of Public–Private Partnerships (PPPs) emphasizes that PPP investment should meet local residents’ public service requirements. However, due to profit seeking, the private sectors in PPPs may ignore public requirements, which leads to the distribution of PPP investment in infrastructure sectors away from social sustainability. However, the evaluation of PPPs’ investment distribution with consideration for the public requirements has not received sufficient attention. Meanwhile, the underlying influencing factors also remain unexplored. Based on the priorities of public requirements, this study evaluated PPPs’ social sustainability effects (PPPSEs) to analyze whether the distribution of PPP investment in infrastructure sectors matches these priorities. Furthermore, this study empirically analyzed the factors that influence PPPSEs. This study used the data from China’s 28 provincial-level regions from 2017 to 2021. The results indicate that the PPPSEs vary across different regions in China. Regarding the influencing factors, the purchasing power of local residents, fiscal pressure, and PPP project experience significantly influenced the PPPSEs. This study supports decision making in choosing PPP projects and managing the PPP mode from the perspective of social sustainability. Full article

In China’s rapidly urbanizing coastal areas, inclusive green development (IGD) has become an important way to achieve a reduction in economic development disparities, environmental sustainability, and social equity. This study investigates the spatiotemporal dynamics and structural drivers of IGD across 54 coastal cities within three marine economic zones (MEZs) using a hybrid analytical framework that integrates evaluation techniques, inequality decomposition, spatial factor detection, and spatial econometrics. The result shows that a distinctive “four-pillar” spatial structure has emerged, centered on the Shandong Peninsula, Yangtze River Delta (YRD), West Coast of the Taiwan Strait, and Pearl River Delta (PRD). Spatial autocorrelation has intensified since 2020, indicating the cumulative effect of China’s post-2020 regional integration policies and digital infrastructure investments, which accelerated resource flows between cities. Spatial econometric analysis further reveals that economic development and equitable public service provision are the most influential drivers, while public investment in R&D and digital transformation exhibit significant cross-city spillover effects. The findings highlight the importance of regionally adaptive and digitally integrated strategies to promote inclusive and sustainable urban development in coastal economies. Therefore, efforts should be intensified to strengthen the role of core cities as diffusion engines for neighboring areas, with a strategic focus on regional digital transformation and R&D investment, to advance inclusive and sustainable development in coastal economies. Full article

Conventional tourism planning in ecologically fragile regions often adopts a reductionist perspective, failing to address the synergistic spatial interactions between ecological conservation, resource utilization, and infrastructure. To bridge this gap, this study develops a multi-constraint synergistic assessment framework for the dry-hot valley of Lujiang Dam (LJD) in China. Grounded in the understanding of rural tourism as a complex adaptive system, the framework innovatively integrates the InVEST model, kernel density estimation, and cumulative cost-distance algorithms to identify Natural Spatial Suitability for Tourism Development (NSSTD). Key findings include (1) pronounced spatial heterogeneity in habitat quality, with high-quality zones in the west/southeast requiring strict conservation; (2) a “barbell-shaped” clustering of natural/cultural resources at the valley’s northern and southern extremities, highly congruent with ethnic settlements; and (3) a “concentric layered” accessibility pattern where 88.08% of resources are within a 90 min drive. Crucially, the spatial overlay analysis revealed that NSSTD (54.74 km²) emerges not from single high-value zones but from areas of synergy, such as those with medium habitat quality coupled with high resource endowment and accessibility. These results provide a scientifically robust, spatially explicit layer for China’s “Multi-plan Integration” territorial spatial planning. They enable differentiated strategies—channeling development to southern corridors, implementing niche tourism in northern “structural hole” villages, and enforcing conservation in western habitats—thereby offering a replicable methodology to balance ecological integrity with sustainable rural development. Full article

This study examines the spatiotemporal evolution of China’s grain supply chain resilience and regional disparities from 2012 to 2022, employing provincial data and a multidimensional framework encompassing resistance capacity, adaptive adjustment capacity, and innovation-driven transition capacity, and utilizing entropy weight method, kernel density estimation, convergence models and barrier factor analysis with GIS (v10.8,2) visualization. The results reveal a fluctuating upward trajectory in the composite resilience index. However, spatial heterogeneity persists as Major Grain-Producing Areas demonstrate high resistance capacity but lag in transformation due to path dependency, Major Grain-Consuming Areas excel in innovation yet face vulnerability from import dependence, and Grain Self-Sufficient Areas display rapid adaptive capacity growth but spatial polarization intensifies. Theil index decomposition confirmed that inter-regional disparities dominated, reflecting uneven technological diffusion and institutional priorities. Key drivers include natural endowments, infrastructure investments, and digitalization, though threshold effects in policy regulation and path dependency paradoxes constrain convergence. This study advances a dynamic governance framework to balance resilience trade-offs and align supply chain modernization with sustainable food security goals. Full article

Against the backdrop of China’s “East-West Computing Resource Transfer” and “Digital-Real Integration” national strategies, computing power has emerged as a core engine driving the digital economy. However, existing research lacks in-depth exploration of the micro-level mechanisms through which computing power operates as a strategic digital resource at the firm level and transforms into competitive advantages. This study examines a sample of manufacturing firms listed on China’s A-share markets from 2011 to 2022, treating the establishment of intelligent computing centers by firms as a quasi-natural experiment. Employing a staggered difference-in-differences model combined with causal inference strategies such as double machine learning, we empirically test the impact of computing power investment on firms’ new quality productivity. The findings reveal that computing power investment significantly enhances new quality productivity, primarily through enabling dynamic capabilities: it strengthens risk perception capabilities by improving information environments, enabling intelligent risk monitoring, and enhancing decision-making resilience; it elevates innovation opportunity-capturing capabilities by expanding the scope of innovation search, accelerating innovation iteration, and facilitating cross-domain knowledge integration; and it achieves data element reconstruction through constructing data infrastructure capabilities, improving data operational efficiency, and optimizing data ecosystem collaboration. Further analysis demonstrates that this promotional effect is more pronounced in firms with strong executive digital cognition and intense market competition, and is more significant among non-heavily polluting, high-tech firms with high absorptive capacity, those located in eastern regions, and those with superior digital endowments. Extended analysis also reveals that the new quality productivity gains from computing power investment drive optimal allocation of human capital while potentially inducing strategic information concealment behaviors as firms seek to protect competitive advantages. By conceptualizing computing power as a contestable strategic resource at the micro level, this study unveils the micro-mechanisms of digital transformation through a dynamic capability framework, offering important implications for firms and governments in optimizing digital strategies. Full article

Enhancing farmers’ livelihood resilience is a cornerstone of sustainable rural development and poverty alleviation consolidation in developing countries. While tourism has emerged as a prominent rural revitalization strategy, the mediating role of tourism-induced land use transitions in building resilience—and the underlying spatial mechanisms through which these transformations operate—remains inadequately understood. This study integrates Henri Lefebvre’s spatial production theory with land systems analysis to examine how tourism-driven land use transitions influence farmers’ livelihood resilience in rural China. Using provincial panel data and three waves (2018, 2020, 2022) of nationally representative household survey data from the China Family Panel Studies (CFPS), we construct a comprehensive tourism development index emphasizing land transformation dimensions and employ panel regression models with instrumental variables and threshold analysis. The findings reveal that tourism-induced land use transitions significantly enhance farmers’ livelihood resilience through three distinct spatial mechanisms: land-based rural infrastructure investment, industrial land structure rationalization, and cultural facility land development. Importantly, this relationship exhibits a double-threshold effect with diminishing marginal returns, and the positive impact is substantially stronger in heritage-rich regions with comparative policy advantages. By establishing land use transitions as a critical spatial production pathway linking tourism to sustainable livelihood outcomes, this study advances land systems science, offering a novel theoretical framework for integrating people–nature interactions in heritage-rich rural areas and practical guidance for strategic land use planning in support of the Sustainable Development Goals (SDGs). Full article

The clean energy transition of the power sector is essential for achieving sustainable development. However, an important question is how, and to what extent, government subsidy policies contribute to this transition. Using county-level data on wind and photovoltaic capacity and power generation in China, we demonstrate that Feed-in Tariff (FIT) subsidies have substantially increased both the installed capacity and power generation of wind and PV energy. Specifically, for every 10% increase in FIT subsidies, wind power installed capacity increases by 24.33%, and power generation increases by 19.33%. Similarly, PV power installed capacity increases by 19.80%, and power generation increases by 15.50%. Further analysis reveals that FIT incentivizes market participants to invest in wind and PV power generation by increasing the likelihood of profitability for renewable energy enterprises. However, fixed FIT subsidies, probably due to over-incentivization, transmission constraints, and the intermittent nature of renewable energy, cause a decline in the capacity utilization rate of wind and PV power. Additionally, our findings highlight that tailoring FIT policies to local resource endowments and improving transmission infrastructure can enhance policy effectiveness and support the clean energy transition. Full article

Cities need emergency-shelter systems that are computationally efficient, socially fair, and consistent with long-term goals for sustainable urban development. This paper proposes a GIS-integrated, two-stage location–allocation framework for urban earthquakes that jointly optimizes shelter siting and evacuee assignment under time-varying demand. The model incorporates equity constraints that cap extreme travel burdens for vulnerable groups and robust capacity safeguards against demand uncertainty, helping prevent over- or under-investment in shelter infrastructure and promoting efficient use of land and public resources. A customized Phased Nested Local Search (PNLS) heuristic enables city-scale application and is benchmarked against a mixed-integer programming baseline solved by CPLEX. In a district-level case study of Chengdu, China, the framework reduces total assignment distance by 12.3% and the 95th-percentile travel burden by 15.8% while maintaining feasibility during the peak demand window. The results show that integrating equity, robustness, and spatial efficiency in shelter planning can strengthen urban resilience and directly support SDG 11 on sustainable cities and communities. Full article

Ecological resilience serves as a critical foundation for regional ecological management. As a fundamental unit of ecological governance, a watershed integrates natural, economic, and social subsystems into a complex composite system. However, the mechanisms linking human activities, management behaviors, and natural processes to ecological resilience at the watershed scale remain poorly understood. To address this gap, this study takes China’s Erhai watershed as a representative case and develops an integrated evaluation framework for assessing the resilience of a watershed-scale natural–economic–social composite system. The framework combines resilience measurement, coupling coordination analysis, and scenario simulation using the Ordered Weighted Averaging (OWA) method. The results indicate that the overall resilience of the Erhai watershed increased steadily from 2005 to 2020, with the average value rising from 0.23 to 0.42. However, spatial disparities in resilience widened, reflecting challenges of uncoordinated regional development. Fiscal revenue was identified as a key driver of resilience enhancement, as higher fiscal capacity promotes greater investment in ecological protection and environmental governance. Scenario simulations further revealed that the conservation-priority policy scenario achieved the highest resilience, characterized by stronger infrastructure development, improved environmental management, and increased investment in social security and health, supported by sustainable tourism. These findings provide theoretical and practical insights for promoting coordinated and resilient watershed governance in China and similar regions worldwide. Full article

Drawing on panel data from 279 prefecture-level cities in China from 2011 to 2022, this study employs the National Pilot Policy of Information Benefiting the People (NPIB) as a quasi-natural experiment to examine how government-led digital governance shapes the digital divide among cities. Using a difference-in-differences (DID) design combined with mediation and spatial analyses, the results demonstrate that the NPIB policy significantly narrowed inter-city digital disparities, with findings robust across alternative model specifications and placebo tests. Mechanism analysis shows that digital governance promotes inclusion primarily through three pathways: strengthening strategic policy orientation, enhancing technological innovation capacity, and stimulating digital market vitality. Heterogeneity analysis indicates that policy effects vary by regional development, urbanization level, and fiscal autonomy, being most pronounced in eastern cities and those with moderate urbanization and fiscal self-sufficiency. Spatial analysis reveals that while digital governance improves local inclusion, it can generate negative spillovers among neighboring cities with similar economic structures, partially offsetting aggregate gains. Overall, the findings highlight the importance of regionally differentiated strategies, cross-regional coordination, and sustained investment in digital infrastructure to promote balanced, inclusive, and sustainable digital transformation—providing practical insights for developing countries aiming to bridge structural divides and advance digital sustainability. Full article