In the context of the connotative development of higher education in the New Era, integrating ideological and political education into the curriculum is crucial for enhancing the quality of talent cultivation. This paper focuses on the cultivation of interdisciplinary and innovative talents in the land resource management major. It begins by analyzing the necessity and challenges of constructing a curriculum-based ideological and political education system for courses in this major. A four-wheel drive navigation system, centered on the concept of "sustainable human-land relationship" and structured by the "bottom line-baseline-ladder line-main line" framework, is proposed. On this basis, a theoretical framework that integrates value guidance with competency cultivation is constructed. Taking the "land information system" course as an example, this study identifies and integrates ideological and political elements, and establishes a dynamic case library. Furthermore, diverse teaching strategies are designed to facilitate the integration of ideological and political education into teaching practices. The synergy among the theoretical framework, case library, and teaching strategies has significantly enhanced students' comprehensive competencies and sense of social responsibility. This research provides a systematic approach and a practical pathway for the ideological and political construction of courses in land resource management and related disciplines. It not only enriches the teaching content and methods of land resource management courses but also helps students establish correct values and a sense of social responsibility during their acquisition of professional knowledge, thereby better meeting the demands of contemporary society for high-quality land resource management professionals.

Rural tourism represents a critical pathway for developing livable, workable, harmonious and beautiful countryside. However, it currently faces new structural dilemmas in practice, reflecting deep-seated contradictions such as lagging governance mechanisms, imbalanced human-land relationships, and weakened development momentum. To address these issues, this paper integrates theories of operational governance and human-land-industry synergy to construct a three-dimensional analytical framework of "governance-construction-operation". Through analyzing three typical cases of rural operation models in Lin'an district, Hangzhou, Zhejiang province, we identify implementation pathways and intrinsic mechanisms for developing livable, workable, harmonious and beautiful countryside in rural tourism destinations. The research indicates that: (1) The development of livable, workable, harmonious and beautiful countryside follows a tripartite synergistic logic of "governance-construction-operation", where governance serves as the prerequisite and safeguard, construction as the carrier and cornerstone, and operation as the kinetic force and engine. (2) Operational governance centered on "human" as the core driver, "land" as the spatial carrier, and "industry" as the economic linkage. By harmonizing relationships among the government, market, village communities, society, it revitalizes idle resources and optimizes the layout of "production-living-ecological" spaces. This approach promotes industrial integration and common prosperity while synergistically advancing the development of livable, workable, harmonious and beautiful countryside in rural tourism destinations. (3) Operational governance activates human-land-industry synergies, driving systematic restructuring of rural "social-material-economic" spaces. This facilitates element upgrading through value feedback that embodies "harmonious and beautiful-livable-workable" qualities, ultimately forming a closed-loop evolutionary mechanism of "element activation-spatial restructuring-value feedback". This study provides replicable pathways and theoretical insights for developing rural tourism destinations aligned with the goal of developing livable, workable, harmonious and beautiful countryside.

Common prosperity is a fundamental goal of Chinese-style modernization. Realizing ecological product value (EPV) is a pivotal mechanism for advancing this objective while fostering an ecological civilization. This approach synergistically advances the tripartite goals of economic development, social equity, and ecological conservation. It provides an endogenous pathway for ecologically rich yet economically underdeveloped regions to convert their ecological assets into economic advantages. However, leveraging EPV to achieve common prosperity is hindered by systemic challenges spanning actors, technology, industry, and institutions. Therefore, employing a synergistic actor-technology-industry-institution framework, this paper dissects the theoretical underpinnings and operational pathways linking EPV realization with common prosperity. Drawing upon this analysis, the paper proposes an integrated set of pathways to address these challenges. These include: (1) implementing people-centric strategies for capacity building and governance optimization; (2) leveraging technology for value discovery and inclusive sharing; (3) fostering industrial development focused on green growth and ecological resilience; and (4) establishing robust institutional support for property rights and social security. This study thus offers a systematic framework for converting ecological value into shared prosperity and sustainable development, contributing to a new paradigm of high-quality growth.

National key ecological function areas are crucial for ensuring national ecological security. A deep understanding of their influence on county-level ecological efficiency is crucial for informing policy assessment, advancing the high-quality development of national key ecological function zones, and reinforcing national ecological security barriers. Employing Chinese county-level panel data from 2005 to 2022, this study constructs a measurement system for ecological efficiency and applies a multi-period difference-in-differences method to examine how the designation of national key ecological function areas affects county-level ecological efficiency. This helps reveal the internal implementation paths of ecological function areas and ensures national ecological security. Key findings of this study are as follows: (1) Following a series of robustness checks, including parallel trend tests, placebo tests, PSM-DID, sample truncation, and controls for policy interference, the results confirmed that the implementation of the national key ecological function areas policy significantly improved ecological efficiency in the designated regions. Under fixed time and individual effects, the policy increased the ecological efficiency of the treatment group by an average of 3% compared to the control group. Industrial structure upgrading and fiscal structure adjustment are two effective paths for enhancing county-level ecological efficiency. Mediation effect analysis shows they partially mediate between national key ecological function areas and ecological efficiency. (2) Heterogeneity analysis by geographical location shows that national key ecological function areas in the eastern and central regions have a significant positive impact on local ecological efficiency, while those in the western region have a significant negative effect. Analysis by ecological function area type indicates that the establishment of areas for biodiversity maintenance, water conservation, and soil and water conservation significantly improve county-level ecological efficiency. In contrast, windbreak and sand-fixation areas exert no significant negative impact. (3) The spatial spillover effects are examined by employing a geographical distance matrix and a spatial Durbin model with both spatial and temporal fixed effects. The analysis reveals that the national key ecological function areas policy generates positive spatial spillover effects, significantly enhancing ecological efficiency in both local and neighboring counties. These effects remain robust after employing economic geography nested matrices and economic distance matrices.

Urban renewal in the New Era must center on residents' needs. Drawing on Maslow's hierarchy, this study develops a spatial complexity framework identifying three core features: multi-scale nature, spatial correlation, and urban heterogeneity. An urban health examination system bridges needs and strategies through a multi-scale diagnostic framework and large-sample data, enabling precise prioritization. Empirical case studies validate the framework: (1) multi-scale spatial analysis reveals hierarchical distributions of needs, from residential safety and comfort to citywide quality improvements; (2) bivariate local spatial autocorrelation uncovers cross-scale interactions between community barrier-free facility demand and residential elderly-adaptation needs; and (3) revealed preference analysis shows differentiated priorities across city types: megacities emphasize environmental quality and cultural preservation, medium-sized cities focus on infrastructure and security, and small cities prioritize equitable public services. Based on these insights, the study proposes a precision renewal strategy system featuring multi-scale interventions, cross-scale coordination, differentiated evaluation for heterogeneous cities, and dynamic feedback via smart technologies. This systematic framework and practical toolkit advance people-centered urban development, support the transition from large-scale demolition and reconstruction to precision micro-renewal, and promote high-quality urban development that responds to residents' diverse spatial needs.

Based on the Williamson's four-level analysis framework and utilizing residual rights theory as an analytical tool, this paper explores the formation mechanism of dynamic property rights allocation in the renewal of stock industrial land under the industrial real estate model. The research findings are as follows: (1) From the perspective of property rights allocation, the essence of stock industrial land renewal under the industrial real estate model is a process in which local governments, industrial real estate developers, and settled enterprises engage in property rights reconstruction and interest restructuring around specific rights and residual rights of stock industrial land after changes in the institutional environment. (2) The formation mechanism of dynamic property rights allocation manifests as changes in the institutional environment driving behavioral agents to respond, thereby affecting the dynamic adjustment of property rights. Specifically, in market-driven renewal parks facing uncertainties such as land rent differences and target improvements, market entities will explore and adjust land use behaviors to achieve the restructuring of rights of stock industrial land; in government-driven renewal parks, local governments will reallocate the rights of stock industrial land through a parallel mechanism of contract optimization and incentive constraints. (3) Institutional provisions such as mixed land use policies, dual-agreement supply policies, and divided transfer policies can fully delineate specific rights and narrow the scope of residual rights. Meanwhile, a parallel mechanism based on composite incentives and constraints involving taxation, reputation, subsidies, and equity can reasonably align residual control rights with residual claim rights. Therefore, based on top-down policy supply and contract optimization, supplemented by the parallel mechanism of composite incentive and constraint, it is conducive to achieve dynamic equilibrium of property rights in the sustainable renewal of stock industrial land.

The digital ecosystem is an advanced form of digital economy evolution and a driving force for reducing carbon emissions and increasing economic efficiency in society and the economy. Based on the digital ecology view and complexity theory, this paper uses a hybrid dynamic QCA and regression analysis method to construct a complex mediation model and explore how the digital ecosystem affects urban carbon emissions from a configuration perspective. The results indicate that the interconnection and coordination of various elements within the digital ecosystem form five equivalent configuration paths that drive green technological innovation. The digital ecosystem models represented by different configurations can all empower carbon emission reduction by enhancing the level of green technology innovation in cities, but there are significant differences in the overall impact of different digital ecosystem models on the carbon emission intensity of cities. Among them, market-led network-based and dual-integrated resource accumulation types are two digital ecosystem models that can effectively reduce a city's carbon emissions intensity. However, this impact is constrained by differences in urban policy contexts and resource endowments, with more pronounced effects observed in low-carbon pilot cities and peripheral cities. The research conclusions provide new insights into mechanisms for reducing carbon emissions through the use of digital technology, based on configuration thinking. This study addresses the limitations of traditional linear intermediary models in addressing complex issues, providing empirical evidence and policy implications for the deep integration of the digital revolution and the "dual carbon" goals.

Entering the stage of high-quality development, the problem of job-housing imbalance in megacities has intensified, triggering systemic "urban diseases" such as traffic congestion and resource misallocation, which (in)directly affect residents' well-being and sustainable development. Interventions in the human settlement environment can reconstruct the job-housing relationship, playing a significant role in addressing the challenge of job-housing imbalance. However, existing studies primarily focus on the linear relationship between the built environment and job-housing balance, making it difficult to capture the nuanced effects of multidimensional human settlement environment factors. Therefore, a nonlinear approach is essential to deconstruct these dynamic interactions and thereby promote urban governance. Taking the Wuhan metropolitan development area, a typical megacity, as a case study, this research employs commuting time as a proxy metric to assess job-housing balance and discloses its spatial patterns. Meanwhile, a machine learning model is applied to identify the nonlinear effects of urban human settlement on job-housing balance and quantify the threshold values of key variables. The results show that: (1) The contributions of the built, social, and natural environment to job-housing balance vary significantly. The most influential drivers, ranked by contribution, are: the "proportion of young people" and the "proportion of elderly population" in the social environment, "intersection density" in the built environment, "habitat quality" in the natural environment, and "road network density" in the built environment. (2) The nonlinear relationships between different human settlement environment factors and job-housing balance exhibit various forms, including approximate linear relationships, inverted U-shaped curves, and threshold effects. Based on these findings, we call for optimizing resource allocation according to the characteristics of key human settlement indicators and implementing differentiated policies. These new measures can effectively enhance urban livability in megacities.

Quantifying the transregional contribution of water supply services to hydropower production and carbon mitigation is of great practical significance. This study integrated runoff observations, statistical data, and model simulations to develop an assessment framework for the contribution of the Qinghai section's water supply services to hydropower carbon reduction. Then, we analyzed the contribution of water supply to downstream hydropower carbon reduction from 2000 to 2022. The results indicated that: (1) The long-term average water supply of the Qinghai section was approximately 98.9 mm. From 2000 to 2022, the water supply showed a significant increasing trend at a rate of 2.31 mm/a. (2) The average annual amount of hydropower carbon reduction in the Qinghai Basin was 32.88 million tons of CO₂e, with Qinghai's contribution reaching 25.77 million tons of CO₂e/a, accounting for approximately 78.4%. (3) In the main stem of the Yellow River outside Qinghai province, the long-term average hydropower carbon reduction was 24.43 million tons of CO₂e/a, of which Qinghai's contribution amounts to 9.09 million tons CO₂e/a, accounting for about 37.2%. From 2000 to 2022, this contribution exhibited a slight upward trend, increasing at a rate of 0.23 million tons CO₂e/a. (4) The total carbon reduction from all the hydropower stations along the Yellow River mainstream was 57.31 million tons of CO₂e/a, with Qinghai contributing 34.85 million tons of CO₂e/a, representing 60.8%. From 2000 to 2022, Qinghai's contribution to hydropower carbon mitigation in the Yellow River Basin increased at a rate of 1.28 million tons CO₂e/a. This study provided a theoretical reference for a better understanding of the comprehensive benefits of water supply service flows. It further suggested incorporating the indicator of "hydropower's contribution to carbon emission reduction" into the accounting indicator system for watershed ecological compensation, aiming to facilitate a win-win scenario between ecological protection and economic development.

Based on the survey data of 719 farmers in five provinces including Zhejiang, Shandong, Henan, Shaanxi and Sichuan, this study empirically analyzes the impact and mechanism of rural industrial integration on farmers' green production behavior using models such as Ordered Probit. The conclusions are as follows: (1) Rural industry integration can effectively promote farmers' green production, and the conclusion is still valid after the endogeneity and robustness test. (2) There are differences in the promotion effect of different integration modes on green production of farmers, among which the effect of technology penetration integration is the most significant. (3) Rural industry integration can promote green production through incentives for agricultural product returns, accumulation of social capital, acquisition of technical training, and accelerated inflow of agricultural land. (4) Rural industry integration has a stronger effect on green production for ordinary small farmers, as well as farmers in northern regions, the older generation, and those with less fragmented land. In this regard, we should continue to promote the integration of rural industries in the future, actively guide farmers to participate in it, cultivate a high-quality and high-price market environment, enhance farmers' awareness of green production and their ability to acquire factors, further promote farmers' green production.

As a symbiotic field of nature and culture, the construction of a place brand for agrocultural heritage sites is an important pathway to achieve their conservation, transmission, and revitalization. However, existing research has paid relatively insufficient attention to the commodification of natural elements and the construction of brand symbols in the place branding of these sites. In view of this, taking the Biluochun tea-fruit complex system in Wuzhong, Jiangsu province as a case study, this paper employs comprehensive qualitative methods to explore how the process of commodification of nature and multi-stakeholder interactions dynamically shape the brand image within agricultural heritage systems. The research indicates that natural elements in the case study area, such as animal and plant resources, land resources, and agricultural landscapes, undergo commodification or an intensification of commodification driven by capital dimensions like policies and markets. This results in increasingly diverse commodity forms, which constitute the material foundation of the place brand. Material and cultural symbols are encoded and embedded into products, prompting the brand narrative to evolve from de-localization to re-localization. Production stakeholders maintain the brand image by constraining production behaviors through formal and informal institutions. Meanwhile, platforms and tourist consumers, through embodied experiences, enable the coupling of brand symbols and imaginations, with the resulting discursive representations further reinforcing the lock-in effect of the brand image. Through a cultural political economy analysis, this study expands the theoretical boundaries of place branding in agricultural heritage systems and offers a political ecology narrative of commodification of nature within a Chinese context.

Shanlongtian (mountain valley paddy fields, MVPF), characterized by their enclosed topography surrounded by mountains on three sides, represent critical challenges in non-grain production governance across Southern China. Given their vast quantity, widespread distribution, and fragmented patches, effective restoration requires adherence to principles of precise identification, scientific diagnosis, and differentiated strategies. This study constructed a "conflict-coordination-adaptation" framework, selecting Jianyang district in Fujian province as a typical southern mountainous case. We first mapped the spatial distribution and utilization status of Shanlongtian, then employed self-organizing mapping network analysis and random forest methods to diagnose elemental conflicts in grain production and drivers of non-grain conversion. Finally, remediation zones were delineated based on projected remediation benefits for 2035 and 2050, with corresponding strategies proposed. Key findings include: (1) Jianyang's croplands exhibit dendritic patterns, with 33% classified as Shanlongtian (predominantly at "branch tips"), of which 36.5% are converted to grapes, citrus, and tea plantations. (2) Conflict analysis revealed a hierarchy of "natural constraints (49.72%)>ecological pressures (25.47%)> socioeconomic factors (24.79%)", with wildlife disturbances, distance to rural settlements, and drainage conditions identified as dominant drivers. (3) Based on the multi-level zoning, the proportion of "non-grain" MVPFs allocated to coordination remediation zones is projected to be 55.85% by 2035 and 61.49% by 2050, with estimated remediation benefits of 113 million and 288 million yuan, respectively. This research offered a methodological framework for implementing the "Three Batches" policy in China's southern mountainous regions. It guided the adaptive restoration of grain production through spatially targeted strategies, ensuring the avoidance of excessive investment and ineffective governance efforts.

Promoting eco-management technologies for non-timber forest products (NTFPs) holds significant practical importance for accelerating high-quality forestry development and facilitating the green transformation of forestry production through the enabling force of new quality productive forces. Given the inherent long-term cycle of forestry production and the intertemporal attributes specific to eco-management, time preferences constitute a crucial psychological factor influencing individual technology adoption. Building on an analytical framework examining the impact of farmers' time preferences on the adoption of NTFP eco-management technologies, this study utilizes household survey data from seven counties (cities) in Zhejiang province. Employing econometric models, it empirically examines the influence of time preferences on farmers' adoption of these technologies and its heterogeneity, while further investigating the moderating role of technology extension interventions. The findings reveal that: (1) Farmers' time preferences exert a significantly negative impact on both their adoption behavior and the quantity of eco-management technologies adopted. (2) Time preferences have a significantly negative effect on adoption by smallholder farmers, while the impact on large-scale producers is insignificant. Regarding technology types, time preferences exhibit a stronger negative influence on the adoption of biological control techniques. (3) Technology extension interventions can mitigate the negative effects induced by time preferences; among the three types of interventions examined, technology subsidies prove more effective. Furthermore, the impact of extension interventions varies across different technology types. Based on these findings, relevant policy recommendations are proposed, including differentiated approaches for promoting eco-management technologies.

Reducing agricultural carbon emissions is crucial for achieving China's carbon reduction targets and promoting sustainable agricultural development. Using survey data from 797 pig farmers in Shandong province, this study empirically examines the impact and transformation mechanisms of various green subsidy approaches on low-carbon production transition. The results show that green subsidies significantly encourage farmers to adopt low-carbon practices. Specifically, cash and insurance subsidies prove more effective than other subsidy types. The low-carbon effects of green subsidies are primarily realized through four pathways: reducing transition costs, increasing expected returns, enhancing value recognition, and expanding breeding scale. Specifically, cash and insurance subsidies work primarily by reducing transition costs, whereas in-kind subsidies function chiefly by expanding breeding scale. Green subsidies exhibit group-specific differences in their low-carbon effects, and combined subsidy packages demonstrate significant policy synergy. This research holds important implications for precisely designing and optimizing green subsidy policies to effectively promote farmers' low-carbon production transformation.