[Objective] This study aims to evaluate the differences in macroeconomic impact of different low-carbon power transition scenarios from the perspectives of sectors and provinces, with the goal of quantifying the output development trend of sectors and provinces under changes in power supply structures and inter-provincial transmission structures. The findings can provide decision-making support for the coordinated development of regional economy during power transition. [Methods] Based on the integrated resource strategic planning (IRSP) model, this study designed multiple supply guarantee-prioritized scenarios and low-carbon-prioritized scenarios. By integrating the multi-regional input-output model, the direct and indirect economic impacts of the power sector under different scenarios from 2020 to 2060 were quantified, and the economic spillover effects of the power sector at the sectoral and provincial levels were analyzed. [Results] (1) Compared to retaining a certain scale of coal power, the 100% non-fossil energy generation structure in 2060 was projected to achieve higher net economic growth, with the output growth rate under the low-carbon-prioritized scenario being 3~4 percentage points higher than that under the supply guarantee-prioritized scenario. (2) During the process of low-carbon power transition, the fossil energy extraction sector would inevitably be impacted, while sectors such as electrical machinery and equipment, metal smelting and rolled processed products, and communication, computer, and electronic equipment showed significant economic development potential. (3) Shandong, Jiangsu, and Guangdong had greater competitive advantages in the low-carbon power transition, while Shanxi, Shaanxi, and Guizhou would face major pressure from coal power phase-out. Although the increase in electricity demand in the western region would reduce the demand for inter-provincial transmission, it could still promote regional coordinated development by promoting the output growth of local power sectors. (4) The unit output driving effect of the low-carbon-prioritized scenario was higher than that of the supply guarantee-prioritized scenario, with the effect being particularly prominent under scenarios considering the orderly phase-out of coal power and the moderate development of new energy. [Conclusion] The economic impact of the power transition exhibits significant path dependency and regional heterogeneity, with renewable energy demonstrating prominent advantages in industry chain extension. To ensure regional coordinated development during the transition, heightened attention should be given to regions whose economies are highly reliant on the coal power industry.
[Objective] Enhancing new quality productive forces is a crucial pathway for achieving economic transformation and high-quality development in both the Yellow River Basin and the Yangtze River Economic Belt. This study aims to compare and explore the enhancement pathways of new quality productive forces in two regions from the perspective of complex configurations in digital economy elements under the TOE (Technology-Organization-Environment) analytical framework. [Methods] Using data from provinces in the Yellow River Basin and the Yangtze River Economic Belt from 2012 to 2022, and leveraging the TOE theoretical framework, this study employed dynamic qualitative comparative analysis (QCA) to compare and explore the synergistic effects of digital technology, digital organization, and digital environment elements on new quality productive forces in these two regions. [Results] (1) Single elements of digital technology, digital organization, and digital environment did not constitute necessary conditions for new quality productive forces in either the Yellow River Basin or the Yangtze River Economic Belt. The synergistic interaction among these elements was required. (2) The configuration pathways for enhancing new quality productive forces in the Yellow River Basin could be summarized into three types: “technology innovation-driven type supported by financial development”, “infrastructure-driven type guaranteed by industrial integration” and “technology innovation-pushed type supported by resource investment”. There were two pathways for improving new quality productive forces in the Yangtze River Economic Belt: “technology innovation-driven type supported by resource investment” and “digital technology-organization-environment synergy-type”. Although the two regions exhibited significant differences in their driving pathways, digital technology innovation, digital resource investment, and integration of the digital and real economy all played a central role. (3) The inter-group analysis results indicated that the conditional configurations of the two regions showed a certain degree of stability over time, with strong explanatory power. The intra-group analysis revealed that the pathways for enhancing new quality productive forces across provinces within both regions were diverse, and the coverage of configurations within groups showed regional differences. [Conclusion] To enhance new quality productive forces in the Yellow River Basin and the Yangtze River Economic Belt, it is essential to form synergies across multiple dimensions, including digital technology, digital organization, and digital environment, and to formulate differentiated pathways based on the specific conditions of each region to maximize regional development potential.
[Objective] The contradiction between ecological environment protection needs and lagging socio-economic development in the Three-River-Source Region has become increasingly prominent. Achieving a comprehensive green transformation is the inevitable path to high-quality green development in this region. This study aims to systematically evaluate the green development level of two typical areas in the Three-River-Source Region—Yushu Prefecture and Guoluo Prefecture—and to provide methodological support for assessing their green development goals. [Methods] Based on the national green development indicator system, a green development evaluation indicator system was constructed from five dimensions: resource utilization, environmental governance, ecological protection, growth quality, and green living. The entropy method, comprehensive index method, coupled coordination model, and obstacle degree model were integrated to evaluate the green development level of the study area in three stages: from 1998 to 2004, 2005 to 2011, and 2012 to 2022. [Results] (1) The green development levels of Yushu Prefecture and Guoluo Prefecture significantly improved over the past 25 years, with broadly consistent trends. Indicators related to ecological protection and environmental governance showed outstanding performance, with index growth exceeding that of Qinghai Province, particularly during the third period. The resource utilization index continuously declined, and the efficiency of energy, land, and water resource utilization remained relatively low. (2) The coordination between ecological protection and socio-economic development in the two prefectures gradually increased. Since 2005, the coupling degree of green development had shown a continuous high-level coupling trend. After 2016, the coordinated development degree entered a stage of relatively coordinated development. (3) Over the 25-year period, the obstacle factors of green development in both prefectures shifted from environmental governance and ecological protection to resource utilization, while the driving factors changed in the opposite direction, demonstrating contrasting trends. [Conclusion] Although the Three-River-Source Region has achieved remarkable outcomes in ecological protection and continuous improvement in its green development index, the relatively low efficiency of resource utilization restricts the further enhancement of ecological and economic coordination. It is necessary to strengthen the protection and rational utilization of natural resources and promote ecological industrialization and institutional innovation.
[Objective] Developing a circular economy is an indispensable pathway to achieving green transformation. This study aims to evaluate the impact of circular economy pilot policies on the green transformation of enterprises and to explore the influencing pathways for optimizing the effectiveness of these policies. [Methods] This study took circular economy pilot policies as the research subject. Based on panel data of 1327 Chinese listed companies from 2010 to 2021, multi-period difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models were employed to investigate the effects of these policies on corporate green transformation. [Results] (1) Circular economy pilot policies could enhance the green innovation performance, economic performance, and environmental performance of enterprises, indicating that such policies helped empower enterprises’ green transformation. (2) Circular economy pilot policies facilitated the green transformation of enterprises through pathways such as increasing government subsidies, alleviating market financing constraints, and enhancing corporate environmental, social, and governance (ESG) information disclosure and R&D investment. Among these, improvements in the enterprises’ green innovation performance were primarily driven by government subsidies and corporate R&D investment. (3) The implementation of circular economy pilot policies had a particularly prominent impact on the green transformation of enterprises in highly polluting industries. In regions with stricter government environmental regulations, the implementation of these policies provided stronger support for the green innovation performance and environmental performance of enterprises. Increasing market attention helped positively adjust the driving effect of circular economy pilot policies on enterprises’ green transformation. [Conclusion] To achieve a comprehensive green transformation of economic and social development, it is essential to ensure the effective implementation of circular economy policies, with a focus on enhancing the role of government subsidies in guiding enterprises’ R&D investment in the fields of high value-added resource recovery and recycling. Furthermore, it is imperative to introduce innovative financial products that support resource recycling projects and to promote the disclosure of resource recycling information by enterprises through market attention.
[Objective] The “non-grain” conversion of cultivated land use is a special form of land-use transformation that directly affects national food, ecological, and social security. Currently, as the human-land relationship becomes increasingly strained, scientifically analyzing the conversion mechanism is a critical issue in cultivated land protection and is of great significance for curbing the “non-grain” conversion and achieving sustainable use of cultivated land. [Methods] This study employed literature review and the inductive-deductive method. Based on the pressure-state-response (PSR) model, it constructed a theoretical framework for the “non-grain” conversion of cultivated land use and conducted an in-depth analysis of its pressure, state, and response systems. [Results] (1) From the analysis of driving factors behind the “non-grain” conversion, to the interpretation of its extent and effects, and then to the implementation of government regulatory strategies, the overall operation mechanism closely aligned with the “cause-effect-response” logic of the PSR model. (2) The pressure system driving the “non-grain” conversion was jointly formed by the natural environment evolution, economic environmental changes, and social environmental transitions, with complex interactions among them. Across different spatial scales and among regions at the same scale, the conversion states showed significant heterogeneity. Overall, both the explicit and implicit states of “non-grain” conversion were in a severe state, with a clear causal relationship between them. (3) From the four dimensions of governance perspective, scope, mechanism, and means, a comprehensive management and control system was constructed to address the “non-grain” conversion, providing a systematic solution to its governance challenges. [Conclusion] Future research on the “non-grain” conversion of cultivated land use should focus on the quantitative analysis of multi-source pressures and the pathways and intensities of pressure factors, strengthen the spatiotemporal simulation and trend prediction of explicit states, develop and measure multidimensional diagnostic indicator systems for implicit states, and explore appropriate transformation thresholds and optimization pathways for coordinated human-land systems.
[Objective] This study aims to clarify the characteristics of farmers’ willingness to participate in the withdrawal of land contract rights (LCR) and reveal their decision-making logic, thereby providing a theoretical basis and decision-making references for the design and practical implementation of LCR withdrawal policies. [Methods] Utilizing national micro-survey data from 2021-2022, a comprehensive investigation was conducted on the characteristic facts such as the farmers’ willingness to withdraw LCR, their choices of withdrawal methods, and their compensation demands. Moreover, the decision-making logic of farmers’ choices regarding the withdrawal of LCR was analyzed from the perspective of the functions of agricultural land. [Results] (1) Nationwide, 46.14% of farmers were willing to withdraw their LCR under certain circumstances. Among them, obtaining government monetary compensation was the most preferred withdrawal method for farmers. There was a certain implementation space for the policy, but the current target group of the policy was relatively limited. (2) Farmers who had obtained urban residency, owned urban housing, held relatively stable non-agricultural jobs, and enjoyed more adequate old-age security—thus better meeting the conditions for land withdrawal—showed a higher willingness to withdraw their LCR. However, they also tended to choose paid withdrawal or demand higher compensation, which presented a contradiction. (3) The production, security, property, and psychological functions of agricultural land were the fundamental factors determining farmers’ withdrawal choices, and strengthening these functions significantly suppressed their willingness to withdraw. Moreover, farmers with different differentiation levels and generational backgrounds exhibited distinct primary demands for the functions of agricultural land. [Conclusion] To effectively promote the withdrawal policies of LCR, the scope of the target group should be appropriately expanded. Differentiated withdrawal compensation schemes should be provided based on farmers’ characteristics and their varying demands for agricultural land functions, thereby achieving “targeted policy implementation”. Efforts should focus on unblocking bottlenecks in compensation funding sources and establishing a scientific and rational compensation system. Meanwhile, policy progress should be appropriately accelerated to prevent further increases in policy implementation costs.
[Objective] To address the subjective limitations of the current limiting factor method, this study introduced a machine learning model to enhance the objectivity and efficiency of the cultivability evaluation of cultivated land reserve resources. [Methods] Using Anyuan County, Jiangxi Province as a case study, and based on 768 sample patches from the land use change survey in 2020, the cultivability evaluation was transformed into a binary classification problem. Using the evaluation results of the limiting factor method derived from the same data source as labels, a random forest model was constructed. The mean decrease Gini (MDG) was used to analyze feature importance for optimizing the evaluation indicator system. Additionally, model performance was comprehensively evaluated through cross-validation, area under the curve (AUC) value, and Kappa coefficient. [Results] (1) The model achieved an average accuracy exceeding 0.990 on the training set, test set, and cross-validation, with the test set AUC reaching 0.999. Furthermore, the learning curves indicated that the model had high accuracy and strong generalization capability. (2) The model evaluation results showed an overall consistency of 93.07% with the limiting factor method (Kappa = 0.794). The inconsistent patches exhibited a significantly dispersed distribution (R = 1.836, p < 0.001), mainly concentrated in heterogeneous areas such as regions where the proportion of slopes >25° was near the threshold and urban development boundaries, revealing the model’s limitations and indicating directions for improvement. (3) The quantitative ranking of key factor importance was as follows: ecological condition (40.29%), cultivation convenience (25.68%), soil texture (16.17%), soil layer thickness (8.27%), soil pH (8.26%), terrain slope (1.12%), and soil heavy metal pollution status (0.22%). This highlighted the prominent ecological characteristics and shallow soil conditions of the region. [Conclusion] This study provides an intelligent and quantitative evaluation of the cultivability of cultivated land reserve resources. The constructed model highlights the dominant roles of ecological and cultivation conditions in hilly regions of southern China, providing a scientific basis for regional land-use management and policy implementation.
[Objective] Against the dual backdrop of intensifying climate change and the ongoing advancement of moderate-scale agricultural operations, understanding the relationship between land transfer and climate change adaptation is of significant importance. This paper aims to reveal the effects and mechanisms of land transfer-in on farmers’ climate change adaptation behaviors and provide empirical evidence for policy formulation. [Methods] Based on the survey data from 1384 rice farmers in Jianghan Plain, Hubei Province in 2022, this study employed a model of Poisson regression with endogenous treatment effects to address the issue of selection bias. It investigated the impact of land transfer-in on farmers’ climate change adaptation behaviors and tested the influencing mechanisms based on the three-dimensional perspective of “scale-factor-technology”. [Results] (1) Land transfer-in could significantly increase the number of climate change adaptation behaviors implemented by farmers. After a series of robustness tests, the conclusion was still valid. Marginal effects showed that, on average, the number of climate change adaptation behaviors implemented by farmers who transferred in paddy fields was 2.132 times that of those who did not. (2) In terms of the mechanisms, land transfer-in could promote farmers’ climate change adaptation behaviors by expanding the size of land plots, strengthening factor substitution, and enhancing technological demand, respectively. (3) Heterogeneity analysis showed that land transfer-in only significantly affected the number of climate change adaptation behaviors implemented by farmers with lower household incomes and those with higher economic sensitivity, while no significant impact was observed for farmers with higher incomes and those with lower economic sensitivity. [Conclusion] Land transfer-in promotes farmers with weaker economic resilience to implement more climate change adaptation behaviors by changing the size of their plots, the use of factors and the demand for technology. In the future, policies on land transfer and climate adaptation should be improved, while promoting large-scale land transfers, enhancing mechanized production, strengthening climate adaptation training, and establishing a multi-level support system to enhance the adaptive capacity of climate-sensitive groups.
[Objective] Based on the interactive characteristics of the “social-ecological” system in land use, this study explores the synergistic mechanism by which four key factors—natural, economic, political, and social factors—influence local governments’ marketization mode selection for collectively-operated construction land. The findings aim to provide scientific references for advancing land system reform, such as the marketization of such land, in accordance with location-specific conditions. [Methods] Archetype analysis was employed, taking consolidation-based marketization of collectively-operated construction land as the sample. From 35 typical cases across eastern, central, and western China, five archetypes were extracted, revealing different combinations of factors that facilitated consolidation-based marketization. [Results] (1) Given the incentive to increase fiscal revenue, superior land location and landscape conditions, along with fragmented land-use layouts, prompted local governments to refine institutional rules for marketization and comprehensively implement consolidation-based marketization. This strategy leveraged the advantages of land resource endowment while mitigating disadvantages, thereby enhancing the effective supply of land resources, achieving economies of scale and industrial agglomeration effects, and better supporting local economic development. (2) Given the incentive to enhance demonstration effects, the superior location and natural landscape encouraged the local governments to develop exemplary consolidation-based marketization projects by capitalizing on land resource endowments. These model villages had greater potential for land value appreciation and were more suitable for developing secondary and tertiary industries. Consequently, the local effectiveness of implementing central policies—such as “equal value for equal land between state- and collectively-operated land in the same location” and rural industrial prosperity—was more clearly demonstrated. (3) Local governments also leveraged village self-governance based on village rules and cooperative traditions, thereby reducing the transaction costs of comprehensively implementing consolidation-based marketization or the development of exemplary projects. [Conclusion] The logic of marketization mode selection is specified as the synergistic interaction between local government behavior incentives (i.e., increasing fiscal revenue and enhancing demonstration effects), land resource endowments, and village self-governance capacity. Accordingly, the central government can optimize economic and political incentives to better guide localities in implementing marketization reform policies. Local governments, in turn, apply policy tools such as consolidation-based marketization in a differentiated manner, make good use of land resource endowments while mitigating disadvantages, and give full play to village self-governance. These strategies collectively achieve reform goals, including sustainable resource utilization, comprehensive rural revitalization, and integrated urban-rural development.
[Objective] Scientific understanding of the matching patterns of land-sea elements and safeguarding approaches under the strategy of building China into a strong maritime country is of great reference significance for effectively enhancing the resilience capacity of coastal zones. [Methods] The panel data from 17 coastal cities in the Bohai Rim Region from 2006 to 2020 were utilized. The DCI model and variable fuzzy identification model were employed to measure the land-sea multi-factor matching degree and coastal human-nature system resilience level. The fixed effects model, mediation effect model, and spatial Durbin model were applied to empirically examine the mechanisms and spatial effects of multi-factor matching on coastal human-nature system resilience. [Results] (1) Significant spatial differentiation was observed in the matching degree of land-sea elements and coastal human-nature system resilience at the city level in the Bohai Rim Region. In comparison, the southern part of the Bohai Rim Region exhibited relatively balanced development. (2) Multi-factor matching exerted a significant positive effect on coastal human-nature system resilience. Further spatial spillover effect analysis revealed that its direct effect was significantly positive, while the indirect effect exhibited positive spillover but was not statistically significant. (3) The technology flow level and the industrial flow level played a partial mediating role in the impact of multi-factor matching on coastal human-nature system resilience. (4) Significant temporal and regional differences were observed in the impacts of multi-factor matching on coastal human-nature system resilience. Temporally, the positive impacts during 2013-2020 were stronger than those during 2006-2012. Regionally, the impact intensity followed the order: the southern region, the western region, and the northern region of the Bohai Rim Region. [Conclusion] Multi-factor matching can significantly contribute to the enhancement of coastal human-nature system resilience. Therefore, future efforts should focus on leveraging local resource endowment advantages and breaking barriers to factor flows to promote the sustainable development of coastal zones.
[Objective] How to advance digital tourism while preserving cultural resources has become a pressing issue for the sustainable development of traditional villages in the framework of Digital China and the Network Power strategy. Research on the construction of digital tourism scenarios in traditional villages is conducive to promoting the coordination between digital protection and village development. [Methods] Guided by scenario theory, methods such as induction and synthesis were employed to investigate the conceptual characteristics and implementation framework of digital tourism scenarios in traditional villages. The digital tourism scenario framework was constructed by taking Zhangguying Village as an example. [Results] (1) The digital tourism scenario of traditional villages was a virtual scenario built by collecting and storing tourism resources such as traditional village architectural landscapes, history and culture, festival activities, and folk customs, and using a virtual simulation platform. (2) The construction of digital tourism scenarios in traditional villages involved four core steps: Identification of scenario elements, collection and preservation of tourism resources, construction of digital tourism scenarios, and presentation and dissemination of tourism scenarios. The final output comprised five key digital tourism scenarios: AI-powered audio guides, virtual activity experiences, digital cultural education, village cultural IPs, and virtual tourism communities. (3) The tourism scenario elements of Zhangguying Village could be collected and stored from the aspects of space, physical structures, diverse groups of people, activities, and cultural values. The digital tourism scenarios of traditional villages in Zhangguying Village could be displayed and disseminated through PC network platforms, mobile intelligent terminals, and virtual tourism experience halls. [Conclusion] Research on the construction of digital tourism scenarios in traditional villages should actively integrate new technologies, new methodologies, and new thinking. It should address the human-land relationship in the information age, and focus on digital technical barriers and issues of authentic presence in scenario realization. Additionally, external support mechanisms require enhancement to achieve innovation through the integration of digitalization and practical applications.
[Objective] The problem of insufficient endogenous development momentum in rural areas is becoming increasingly evident, which not only threatens the consolidation of China’s existing poverty alleviation achievements but also constrains the comprehensive advancement of rural revitalization in the new era. How to break through the traditional endogenous development path and explore a neo-endogenous development model is a critical challenge that must be addressed in the process of China’s modernization. [Methods] Based on the realistic development context of traditional villages, this study integrated the theories of resource orchestration and value co-creation to construct a theoretical cognitive framework for neo-endogenous development in traditional villages. By adopting in-depth interviews and participatory observation, Laoche Village, a typical Tujia ethnic group traditional village in Hunan Province, was taken as an example to explore its evolutionary path of neo-endogenous development. [Results] (1) The neo-endogenous development of traditional villages followed a theoretical cognitive logic of “organizational mobilization (willingness)—resource orchestration and value co-creation (behavior)—neo-endogenous development (result)”. (2) The neo-endogenous development of Laoche Village followed an evolutionary path of “developmental concept emergence—local action aggregation—multi-actor resonance”. In the stage of developmental concept emergence, the development willingness of local actors was stimulated through organizational mobilization. In the stage of local action aggregation, internal resources were consolidated, and diverse values of actors were revealed. During the multi-actor resonance stage, multiple actors achieved role transitions and breakthroughs, co-created and shared diverse values, and jointly promoted the neo-endogenous development of traditional villages. [Conclusion]To promote the neo-endogenous development of traditional villages in the future, it is necessary to enhance the practical capacity of local forces and strengthen their capacity for resilient governance. This study aims to optimize the neo-endogenous development path of traditional villages from both theoretical and practical perspectives, providing new practical ideas and experiential references for promoting rural revitalization, while also offering case support for expanding the neo-endogenous development of rural areas.
[Objective] The high-quality development of public services through digital empowerment has become an inherent requirement and inevitable choice for achieving common prosperity in China. Exploring the high-quality coordinated development effects between digital empowerment and public services and their influencing factors holds significant importance for promoting the high-quality development of public services. [Methods] Based on the panel data of 31 provinces in China from 2014 to 2023, an indicator system for the high-quality coordinated development of digital empowerment and public services was constructed. Additionally, the Dagum Gini coefficient and decomposition, kernel density estimation, and a spatial Tobit model were used to explore the impact of digital empowerment on high-quality development of public services. [Results] (1) Digital empowerment and high-quality development of public services achieved effective coordination, with their coordinated development level growing at an annual rate of 7.1% over the past decade, showing a steadily increasing trend year by year. The annual growth rates in the eastern, central, and western regions were 4.8%, 8.4%, and 9.8%, respectively. (2) The level of high-quality coordinated development of digital empowerment and public services across the three major regions exhibited a spatial pattern of “higher in the east and lower in the west”. There were still significant disparities between regions, but the overall gap showed a fluctuating downward trend. The imbalance in their coordinated development level primarily stemmed from the contribution rate of regional differences. (3) Factors such as economic level, government intervention, innovation level, digitalization level, and population growth had significant positive effects on the level of high-quality coordinated development between digital empowerment and public services. [Conclusion] The level of high-quality coordinated development between digital empowerment and public services in China continues to improve, although significant regional disparities remain. It is necessary to establish a differentiated policy system and enhance regional coordination to systematically promote the high-quality coordinated development of digital empowerment and public services.
[Objective] Establishing an effective multi-objective synergy mechanism to leverage the multiple functions of biomass resource utilization, including energy substitution, carbon emission reduction, and rural economic revitalization, is an urgent practical issue that needs to be addressed in the development of China’s biomass energy industry. [Methods] This study employed a dynamic market equilibrium model in combination with multi-objective programming methods and took Fujian Province as an example. A multi-agent and multi-objective collaborative development model for provincial agricultural and forestry biomass resource utilization within the economic-energy-environment system was constructed to simulate and solve the optimal technology and policy implementation strategies from 2017 to 2030. [Results] (1) Only by balancing energy consumption dual-control constraints and economic growth targets could biomass resource utilization achieve a strong decoupling state between carbon emissions and both energy utilization and economic growth. (2) During the simulation period, biomass energy utilization could cumulatively substitute 815600 tons of fossil energy, reduce carbon emissions by 3.3079 Mt, generate 228 million yuan in carbon reduction benefits, create 51300 new jobs, increase farmers’ income by 3.614 billion yuan, achieve 415 million yuan in wastewater reduction benefits, yield 1.663 billion yuan in fertilizer savings. Local governments could promote the market-oriented transition of the biomass energy industry through measures such as new construction subsidies and electricity price subsidies. (3) By distributing 476 small-scale gasification power generation projects and 83 biogas power generation projects province-wide, problems such as the dispersion of biomass feedstock and difficulties in collection, storage, and transportation were partially solved. Combined with industrial green transformation, it could achieve the coordinated development of multiple objectives, including medium- to long-term biomass energy utilization, rural revitalization, and carbon reduction benefits. [Conclusion] Through scenario analysis and dynamic simulation, this paper confirms that the introduction of a set of policies including resource utilization technologies and government regulations can achieve the coordinated development of multiple objectives, such as biomass energy utilization, rural revitalization, and carbon reduction benefits, providing policy implications for popularizing biomass resource utilization in China.
[Objective] The Qinghai-Xizang Plateau, a region under the overlap of multiple national strategies in China, holds a significant geographical location with distinctive regional dietary characteristics. However, the dietary nutritional levels and balance resulting from this unique dietary pattern remain unclear. Conducting relevant assessments is crucial for implementing targeted dietary interventions. [Methods] This study used first-hand data on household food consumption in the agricultural area of “Yarlung Zangbo River and its two tributaries” on the Qinghai-Xizang Plateau collected through field surveys in 2018. From the perspectives of dietary nutrition and intake balance, household dietary quality was evaluated using dietary nutritional level (whether nutrient intake met the recommended standards) and comprehensive dietary deviation (the extent to which intake deviated from recommended ranges). On this basis, analysis of mathematical statistics was employed to compare differences in dietary quality among households in different regions and different groups. Regression analysis was used to identify key influencing factors of household dietary quality. [Results] (1) Although the protein and fat intake of households in the study region met the recommended requirements of Dietary Guidelines for Chinese Residents (2022), with only energy intake slightly exceeding the standard, the overall dietary quality remained at a moderate level of imbalance. This was primarily reflected in excessive consumption of cooking oil, livestock and poultry meat, and cereals, coupled with insufficient intake of dairy products, eggs and fruits. (2) Substantial differences in dietary quality existed among households of different regions, economic levels, and sizes. Households in Shigatse exhibited higher energy, protein, and fat intake compared to those in Lhasa and Shannan, all exceeding the recommended ranges. Meanwhile, Shigatse showed the greatest comprehensive dietary deviation, resulting in the lowest dietary quality, while Lhasa demonstrated the highest. (3) Household income (limited positive, P<0.05), household size (positive, P<0.01), the proportion of children in households (positive, P<0.05) and the self-production rate (negative, P<0.05) significantly affected household dietary quality. [Conclusion] Increasing household income and expanding the consumption of foods from diverse sources are important measures to improve the dietary quality of households in the agricultural area of the Qinghai-Xizang Plateau. The findings provide foundational data and scientific evidence for enhancing local dietary quality and promoting sustainable food consumption in the region.
[Objective] The integration of digital economy and real economy has become an important engine for building a new development paradigm and promoting high-quality economic development. However, the direction and mechanism of its impact on corporate carbon emissions remain unclear. [Methods] An inter-industry production network was constructed using China’s input-output data from 2009 to 2020, and a method was proposed to measure the development level of the integration of digital economy and real economy based on social network analysis. By integrating data from 3002 listed companies, this study examined how the integration affected corporate carbon emissions in China and explored whether inter-industry network synergy played a mediating role. [Results] (1) A positive U-shaped nonlinear relationship was identified between the integration of digital economy and real economy and corporate carbon emission, with the inflection point occurring at an integration level of 0.276. This result remained significant after a series of robustness tests. (2) The mediating mechanism test revealed that the integration of digital economy and real economy formed network synergy effects by reducing industrial relationship vulnerability and controlling industrial polarization tendencies, thereby indirectly affecting corporate carbon emissions. (3) Heterogeneity analysis demonstrated that the positive U-shaped relationship between the integration of digital economy and real economy and carbon emissions remained valid after grouping by industry closeness and industry betweenness centrality, but exhibited significant industry-specific differences. When the level of integration reached 0.20, industries with “high upstream closeness” transitioned to increased carbon emissions, whereas industries with “high betweenness centrality” reached the inflection point only when the level of integration reached 0.38. [Conclusion] Currently, most industries in China are still at a stage where promoting the integration of digital economy and real economy helps reduce carbon emissions. Therefore, it is essential to continuously strengthen digital infrastructure construction and enhance the level of integration of digital economy and real economy to facilitate the achievement of the “dual-carbon” goals. Meanwhile, optimizing industrial network structures can play a mediating role, which is conducive to improving energy efficiency and reducing carbon emissions. Finally, it is recommended to formulate differentiated strategies for promoting the integration of digital economy and real economy based on the varying positions of industry nodes within the network.
[Objective] With the increasingly stringent national regulations on energy consumption and carbon emissions, resource-based cities face challenges such as low energy efficiency and significant barriers to low-carbon transitions due to their “low-end lock-in” in the industrial chain. Exploring the mechanism through which industrial value chain upgrading influences carbon emission intensity in resource-based cities can provide theoretical foundations and practical pathways for their low-carbon transition. [Methods] Based on the industrial division of labor theory and value chain analysis, a multi-regional input-output table was introduced to examine the evolution characteristics of domestic value chain positions across 42 industries in China’s resource-based cities. Furthermore, the impact mechanism of value chain upgrading on carbon emission intensity was analyzed, and policy recommendations for the low-carbon transition of resource-based cities were proposed. [Results] (1) The forward production chain length in resource-based cities remained relatively stable overall from 2012 to 2017, while the backward production chain length experienced a slight increase. Notably, both the forward and backward production chain length of resource-based industries showed a contraction trend. (2) Resource-based cities exhibited a characteristic of “increasing non-resource-based industry value chains and decreasing resource-based industry value chains.” Compared to non-resource-based cities, resource-based cities had higher value chain positions in resource-based industries but lower positions in non-resource-based industries. From the perspective of the emission reduction effect of value chain upgrading, the upward movement of both resource-based and non-resource-based industry value chain positions restrained the carbon emission intensity in resource-based cities. However, the improvement of non-resource-based industry value chain positions had a more pronounced inhibitory effect on carbon emissions. (3) Technological innovation and industrial diversification collaboration played a positive moderating role in the process of industrial value chain upgrading influencing low-carbon transitions. [Conclusion]Promoting the extension of resource-based industry value chains, strengthening technological innovation capabilities, and enhancing industrial diversification collaboration are key pathways for resource-based cities to break through “low-end lock-in” and achieve low-carbon transition.
