Search Results (666)

Resource endowment serves as the foundational condition and strategic pillar for the sustainable improvement of rural project quality, determining the capacity for sustainable development. Clarifying the intrinsic mechanisms through which resource endowment influences the sustainable improvement of rural project quality not only demystifies the “black box” of resource conversion but also reshapes the project development paradigm centered on endowment matching. Based on panel data from 30 provinces in China spanning from 2015 to 2024, this paper empirically examines the impact of resource endowment on the sustainable improvement of rural project quality using a double machine learning model. The results indicate that resource endowment has significant promoting effect. Furthermore, the baseline regression results remain robust after various robustness checks, including adjustment to the research sample, reestablishment of machine learning model, and endogeneity tests involving the introduction of instrumental variable and lagged core variable. Mechanism analysis indicates that resource endowment primarily achieves promoting effect through government attention. Heterogeneity analysis indicates that the impact of resource endowment varies depending on geographic location and the type of project. The SHAP method is also employed to reveal the key factors driving the sustainable improvement of rural project quality in resource endowment. Full article

Against intensifying climate risks, a paradox persists in green finance: high corporate awareness yet low green bond issuance. This study examines the impact of climate risk on green bond issuance using a final sample of 5958 bond issuances, which were issued by 469 unique A-share non-financial listed companies in China between 2016 and 2023. By integrating the Fogg Behavior Model (FBM) into a Motivation–Capability–Triggers framework and employing Logit and Karlson–Holm–Breen (KHB) methods, we investigate the underlying mechanisms. The baseline results show a positive link between climate risk and issuance likelihood, confirming a motivation-incentive effect. Mechanism analyses reveal significant negative mediation through financing constraints, green innovation, and environmental reputation, highlighting a capability-constraint effect. Heterogeneity analysis finds a stronger effect in non-state-owned firms, non-heavily polluting industries, and firms in pilot zones or central/western China, indicating that policy signals and resource endowments act as key triggers to synergize motivation and capability. Our findings offer valuable insights for policymakers in designing motivation-stimulating and capability-compensating intervention strategies to help firms balance economic and environmental objectives. Full article

Driven by comparative returns, non-grain use of cultivated land (NGUCL) has intensified, posing risks to food security. This study approaches the problem by employing a risk transfer valuation framework, integrating a multi-regional input–output model with a synthetic risk index to establish China’s virtual cultivated land risk transfer network. Complex network analysis was utilized to explore its features while a temporal exponential random graph model was used to identify driving factors of its formation. Results indicate that fewer provinces took on additional pressures and risks. Despite differing motifs, transfer patterns showed little variation. Block analysis showed increasing net recipient relationships (from four to nine) and variable block divisions. Economic development and industrial structure are negatively associated with outgoing transfers, whereas population, production capacity and resource endowment are positively associated with them. The network exhibits time-dependent stability, with few new risk transfer paths forming. This study provides a theoretical basis and new ideas for optimizing land resource efficiency, re-shaping risk transfer patterns and maintaining food security. Full article

Natural products are and continue to be a remarkable resource, rich in structural diversity, and endowed with valuable chemical and biological properties that have advanced both science and society. Some natural products, especially those from marine organisms, are chemically reactive, and during extraction and handling can partially or totally transform into artifacts. All too often overlooked or mischaracterised as natural products, artifacts can be invaluable indicators of a uniquely evolved and primed chemical space, with enhanced chemical and biological properties highly prized for drug discovery. To demonstrate this potential, we review a wide selection of marine and microbial case studies, revealing the factors that initiate artifact formation (e.g., solvents, heat, pH, light and air oxidation) and commenting on the mechanisms behind artifact formation. We conclude with reflections on how to recognise and control artifact formation, and how to exploit knowledge of artifacts as a window into unique regions of natural product chemical space—to better inform the development of future marine bioproducts. Full article

This study investigates the drivers of green production practices among forest-cultivated ginseng growers in Jilin Province, China, by integrating the Theory of Planned Behavior (TPB) and the Technology–Organization–Environment (TOE) framework. Based on survey data from 369 households in the major production regions of Tonghua, Baishan, and Yanbian areas, an Ordered Probit model and a Light Gradient Boosting Machine (LGBM) algorithm are employed for cross-validation. The results indicate that growers’ cognitive traits (awareness of green production standards and ecological/quality safety) and willingness (acceptance of price premiums for green products) are the most stable and critical drivers. Policy incentives (e.g., certification subsidies and outreach) not only directly promote green practices but also exhibit synergistic effects through interactions with resource endowments and psychological cognition. Regional heterogeneity is evident: Tonghua shows policy–market co-drive, Baishan is dominated by ecological constraints and safeguard policies, while Yanbian relies more on education and individual resources. Accordingly, this study proposes a differentiated policy system based on diagnosis–intervention–evaluation to support the high-quality development of forest-cultivated ginseng industry and ecological-economic synergies. Full article

While there is very limited information on the cost of production (COP) for the emerging 100% grass-fed organic dairy sector, this study (1) estimates the COP using primary data collected from on-farm surveys, (2) assesses the correlation between COP and key production and management factors, (3) examines how land, feed and labor efficiency, and production scale affect the COP, and (4) derives recommendations for enhancing the economic efficiency of grass-fed organic dairy farms. Data collected via annual surveys in the Northeastern United States from 2019 to 2022 were analyzed through descriptive statistics, correlation analysis, hypothesis tests, and regression analysis. At an average cost of USD 45.91 per hundredweight equivalent of milk, the marginal impacts of the cows managed per full time equivalent labor and milk sold per cow on the COP were −USD 0.166 and −USD 0.003, respectively. Conversely, the COP increased by USD 1.44 when the crop acres per cow increased by one unit, and the COP of small farms with less than 45 cows was USD 6.20 higher than other farms. As farms are significantly different in resource endowment and other factors, the strategies for reducing the COP and improving the economic returns should be identified for individual farms. However, our analyses highlight the importance of enhancing labor efficiency in forage production, land management, milking and feeding, improving herd management and optimizing nutrition and dry matter intake to support high milk productivity. This study may help existing grass-fed dairy farms improve their farm management and reduce COP and help prospective farms assess their suitability for transitioning to grass-fed operation. Full article

This paper examines whether financial development affects economic growth across different levels of carbon emissions in 30 Chinese provinces from 1990 to 2022. We employ a novel partially linear functional-coefficient model with latent factor structure. This approach relaxes the traditional assumptions of linearity and cross-sectional independence, allowing us to capture more flexible growth patterns. Our empirical findings reveal three key insights: (i) the positive effect of financial development on economic growth follows a nonlinear pattern—it initially strengthens as carbon emissions increase but declines rapidly after emissions reach a threshold; (ii) innovation and openness show limited impacts on economic growth; (iii) regional variations exist based on resource endowment. These findings offer important policy implications. Promoting green financial products could extend the beneficial range of carbon emissions for economic growth. Optimizing innovation structures and supervising foreign enterprises may help unlock growth potential while preventing pollution transfer. Regional strategies would benefit from accounting for resource disparities. Full article

Public spaces in peri-urban towns are becoming key focal points of urban regeneration in China due to their geographic advantages, resource endowments, and diverse populations. Substantial investments have been made to improve residents’ living environments and well-being. As over-commercialized urban centers increasingly face congestion and homogenization, the distinctive landscapes and authentic everyday life of peri-urban towns are attracting growing attention from tourists. Understanding both residents’ and visitors’ perceptions of these public spaces is therefore essential for successful regeneration. This study examines Nanquan Street, which lies ina peri-urban heritage town in Wuxi, Jiangnan region, China. Drawing on user-generated content from major Chinese social media platforms (Xiaohongshu and Dianping) and field observations guided by the AEIOU framework, a three-stage grounded theory approach was employed to identify the key factors influencing user satisfaction. The analysis identified twelve sub-dimensions grouped into three overarching categories: foundational preconditions, social developmental factors, and spatial-operational factors, which collectively shape sustained satisfaction in Peri-urban heritage towns. By translating the satisfaction model into sustainable design strategies, this study proposes a set of renewal pathways applicable not only to Nanquan Street but also to similar peri-urban towns facing comparable challenges. Emphasizing multi-user experience, low-intervention strategies, and contextual adaptability, this research contributes to theoretical understandings of sustainable renewal in peri-urban towns. It provides actionable guidance for balancing everyday life, cultural heritage, and sustainable tourism development. Full article

Global fishery resources are under increasing pressure from environmental change and institutional constraints. China’s seasonal fishing moratorium has contributed to resource recovery but has also created income and employment challenges for small-scale fishers. This study examines how livelihood capital structures shape annual livelihood portfolios under predictable closure constraints, using three representative fishing communities in Guangdong Province as case studies. A combination of data augmentation, regression analysis, and agent-based simulation was applied to analyze the relationships between capital endowments and behavioral responses. Results show that environmental and financial capital significantly increase the likelihood of maintaining capture as the primary livelihood, while psychological capital stabilizes decisions under uncertainty. Physical capital and social networks exhibit more variable effects, reflecting differentiated adaptive capacities. Simulations further reveal threshold effects and diminishing marginal returns in capital accumulation, with heterogeneous temporal impacts across capital types. Theoretically, the study extends the Sustainable Livelihoods Approach by incorporating environmental and psychological capital, thereby enriching the understanding of capital mechanisms in fisheries. Overall, the findings advance knowledge of how small-scale fishers adapt under institutional constraints and provide practical insights for policies aimed at aligning livelihood security with the sustainable use of marine resources. Full article

With the frequent introduction of climate policies in China, the uncertainty surrounding these policies has gradually increased. However, the relationship between climate policy uncertainty and total factor carbon productivity remains unclear. To address this gap, the total factor carbon productivity of 277 Chinese cities from 2007 to 2022 is assessed using the EBM-GML model. Subsequently, a panel smooth transition model is employed to investigate the nonlinear relationship between climate policy uncertainty and total factor carbon productivity, incorporating economic growth, energy consumption structure, green finance, green innovation, and extreme climate as transition variables. Empirical analysis reveals that the impact of climate policy uncertainty on total factor carbon productivity is not uniformly positive or negative. When influenced by the five transition variables, higher levels of economic growth, the development of green finance, and advancements in green technology can shift the impact of climate policy uncertainty on total factor carbon productivity into a positive direction. Conversely, a higher reliance on coal consumption and frequent extreme weather events impede this positive influence. The heterogeneity analysis confirms significant regional and resource endowment heterogeneity in the observed nonlinear effects among cities. Furthermore, in most regions, the values of the transition variables do not exceed the threshold. Notably, under the influence of economic growth and green technology innovation, the potential for an increase in the impact coefficient of climate policy uncertainty on carbon productivity is substantial. Therefore, it is imperative to further enhance economic growth and green technology innovation. Additionally, specific climate policy targets must be established to address energy consumption structure and extreme weather, thereby improving carbon productivity. 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

Implementing natural resource protection systems and improving regional water resource utilization efficiency are effective ways to resolve the contradiction between economic development and water resource poverty. To this end, this paper establishes a Difference-in-Difference (DID) model to analyze the impact of water rights trading pilot policies (WET) in 271 prefecture-level cities in China from 2006 to 2023 on water resource utilization efficiency (WEE). The research results indicate that (1) WET significantly improved WEE, while confirming the robustness of this effect; (2) WET exhibit significant heterogeneity in their policy effects on WEE, reflecting pronounced differences between northern and southern cities in terms of geographical location and water resource endowment. In cities with abundant water resources, this promotional effect is even more pronounced; (3) market vitality and water conservation benefits can positively promote the impact of WET through regulatory mechanisms. Based on this, expanding the pilot cities for water rights trading policies and enhancing market vitality can effectively improve WEE and alleviate the current situation of water resource poverty in the region. 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

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

While extensive research has explored the determinants of foreign direct investment (FDI) and foreign portfolio investment (FPI) in BRICS nations, there remains a notable gap in understanding the influence of intangible factors, particularly soft power and nation branding. Historically, academic discourse has underemphasized the role of nation branding as a crucial emotional and perceptual component in investment decision-making processes. Consequently, governments in BRICS countries must enhance their national branding efforts to attract both capital and portfolio investment flows. The principal aim of this study was to jointly analyse the tangible and intangible determinants influencing FDI and FPI in BRICS from 1994 to 2024. Employing advanced econometric techniques, specifically the Autoregressive Distributed Lag (ARDL) bounds testing approach for cointegration and Vector Error Correction Models (VECM) for estimation. This study makes a unique contribution to existing literature by examining the nexus between nation branding, FDI and FPI, thereby introducing a novel perspective on the factors driving investment in the BRICS context with an emphasis on non-tangible determinants. The findings indicate that nation branding, along with exchange rate stability, property rights, and financial market development, are significant positive determinants of FPI in these countries. Conversely, capital openness demonstrated a negative relationship with FPI. Moreover, the positive impact of nation branding on FDI within BRICS nations was reaffirmed. This study substantiates the critical role of nation branding as a pivotal driver for both FDI and FPI, emphasising its strategic importance in the economic landscape of BRICS countries. Full article