Search Results (21)

Grounded in coupling theory, this study investigates the interplay among three key elements of economic growth, namely the digital economy, carbon emissions efficiency, and high-quality economic development. Drawing on data from 30 Chinese provinces from 2000 to 2023, we employ exploratory spatiotemporal data analysis and the GeoDetector model to examine the spatial–temporal evolution and underlying driving forces of coupling coordination. This research enriches the theoretical framework of multi-system synergistic development in a green transition context and offers empirical insights and policy recommendations for fostering regional coordination and sustainable development. The results reveal that (1) both the digital economy and high-quality economic development show a steady upward trend, while carbon emissions efficiency has a “U-shaped” curve pattern; (2) at the national level, the degree of coupling coordination has evolved over time from “mild disorder” to “on the verge of disorder” to “barely coordinated,” while at the regional level, this pattern of coupling coordination shifts over time from “Eastern–Northeastern–Central–Western” to “Eastern–Central–Northeastern–Western”; (3) although spatial polarization in coupling coordination has improved, disparities fluctuate in a “decline–rise” pattern, with interregional differences being the main source of that variation; (4) the degree of coupling coordination has a positive spatial correlation, but with a declining trend with fluctuations; and (5) improvements in the level of economic development, human capital, industrial structure, green technological innovation, and market development capacity all contribute positively to coupling coordination. Among them, green technological innovation and market development capacity are the most influential drivers, and the interactions among all driving factors further enhance their collective impact. Full article

The Three-North Shelter Forest Program (TNSFP) is a large-scale ecological restoration project that has attracted worldwide attention. It covers 4.069 million km² across 13 provinces in northern China, including northwestern, north-central, and northeastern regions. Bibliometric analysis provides a structural overview of the research in this field and offers insights into key research fronts. We conducted a literature review of the Web of Science Core Collection (WoSCC) from 1990 to 2024 using HistCite for a comprehensive literature analysis and CiteSpace for visualizing research trends and co-citation networks. Based on the literature data from the WoSCC, we performed a bibliometric visualization review of the TNSFP. We observe a rising trend in research on the TNSFP, with the number of publications steadily increasing, especially after 2011. Remote Sensing emerged as the leading journal during the study period, accounting for 8.84% of the total publications. China is the leading contributor to research in this field, comprising 99.32% of the publications, with the Chinese Academy of Sciences (CAS) being the primary research institution, accounting for 36.05%. Research on the TNSFP is interdisciplinary, with Environmental Sciences serving as its primary focus. Ecological restoration and climate change are likely to be the main trends in future research. This study provides a comprehensive overview of the TNSFP’s research landscape, offering insights that can inform policy decisions, guide future research directions, and support on-the-ground conservation and afforestation strategies. Full article

Whether and how new infrastructure (NI) can drive the development of rural industries (DRI) is crucial to promoting urban–rural balance and ensuring national food security. Based on panel data from Chinese provincial-level regions (2013–2022), this study constructs a comprehensive DRI evaluation system encompassing production systems, economic benefits, industrial integration, and sustainable development. Using the entropy method to measure NI development levels, we examine its heterogeneous impacts on DRI through multiple analytical dimensions. The results reveal three key findings: First, a robust “inverted U-shaped” relationship exists between NI and DRI. Second, heterogeneity analysis demonstrates that (1) both eastern and western regions show this pattern while central and northeastern regions exhibit infrastructure saturation; (2) intelligent transportation infrastructure critically moderates this relationship—advanced regions achieve greater NI efficiency through digital infrastructure–transportation–industrial synergies, whereas underdeveloped regions face bottlenecks; and (3) provinces with lower population density but higher human capital show enhanced NI absorption capacity. Third, mechanism analysis confirms industrial structure upgrading and market expansion as key transmission channels. These findings suggest that implementing tiered intelligent transportation strategies, differentiated NI policies, human capital investment, and rural market expansion optimize NI’s rural development impacts. Full article

Based on panel data from 30 Chinese provinces from 2012 to 2022, this study empirically examines the impact of new-quality productivity on environmental pollution and explores the underlying mechanisms. A multidimensional index system is constructed to measure new-quality productivity, incorporating new laborers, new labor materials, new labor objects, new technologies, new production organizations, and new data elements. The results indicate that the development of new-quality productivity significantly reduces environmental pollution levels, a conclusion that remains robust after a series of robustness and endogeneity tests. Mechanism analysis reveals that green finance plays a partial mediating role in the pollution-reducing effect of new-quality productivity, with the mediating effect accounting for 11.7%. Regional heterogeneity analysis shows that the environmental improvement effect of new-quality productivity is significant in the eastern and northeastern regions but relatively weaker in the central and western regions. Based on these findings, this study proposes a three-pronged policy framework that integrates “factor upgrading, mechanism innovation, and region-specific adaptation”, emphasizing the enhancement of new-quality productivity, the development of green finance, and regionally differentiated development strategies to better mitigate environmental pollution. This study provides empirical evidence on the environmental governance effects of new-quality productivity and offers theoretical insights for developing countries seeking to resolve the “growth-pollution” paradox and optimize regional green transition pathways. Full article

We incorporated a comprehensive dataset encompassing recent measurements from satellites such as the Macau Science Satgellite-1 (MSS-1), Swarm, and CHAMP, as well as aero and ocean magnetic measurements, alongside ground-based data from 1936 to 2000. This amalgamation is the basis for constructing a lithospheric magnetic field model of the Chinese mainland, employing the three-dimensional Surface Spline (3DSS) model. Additionally, we used the World Digital Magnetic Anomaly Map (WDMAM)-2.1 and CHAOS-7.13 models to address data gaps horizontally and vertically. To evaluate the efficacy of the new model, we compared it not only with established models such as SHA1050, NGDC720, and LCS-1 but also with the new model excluding the MSS-1 data. The results show a high agreement between the 3DSS model and other global models at a spatial resolution of 0.05°. Furthermore, we inspected the rapid variations in the magnetic field with increasing altitude, demonstrating a smooth transition across the altitudes covered by the three satellites. Error analyses reflected the importance of MSS-1 data, which contributed notably to modelling by capturing finer-scale magnetic structures. The increased data availability correlated positively with the model’s accuracy, as evidenced by the Root Mean Square Error (RMSE), registering an optimal value of 0.02 nT. The new model reveals additional geological details in southern Tibet, northeastern Inner Mongolia, and the adjacent areas of Liaoning and Jilin provinces, which are not discernible in other global models. The relationship between these anomalies and heat flow in northeastern China appears less evident, suggesting a complex interplay of orogenic processes and surface mineralogy in shaping these magnetic signatures. Full article

Combining an indicator system developed based on existence–relatedness–growth (ERG) needs and multiple weighting approaches, this paper evaluates the level of high-quality economic development (HQED) in Chinese provinces from the perspective of human well-being from 2007 to 2020. Spatial analysis, Dagum’s Gini coefficient (DGC), and spatial econometric modeling were employed to investigate the spatial–temporal evolutionary characteristics, regional differentiation, and driving factors of HQED in China. The following conclusions are drawn: (1) During the period of 2007–2019, the level of Chinese HQED showed a stable upward trend, and gradually produced the development characteristics of “only super power and multi-great power” and spatial features of “point, line and plane”, with Beijing as the absolute leader, the southeastern coastal region as the advantageous belt, and the relatively advantageous plane in central and western areas with Shaanxi as the core. (2) The degree of spatial differentiation in Chinese provincial HQED narrowed year by year, with intra-regional differentiation organized as follows: eastern > northeastern > western > central; inter-regional differentiation was concentrated in the development gaps across the other three major regions and the eastern areas. (3) Chinese provincial HQED had a significant spatial autocorrelation characteristic, which was further revealed by the spatial Durbin model (SDM) to be a siphon effect at the national and regional levels, i.e., the plundering of the resources and development opportunities of weaker provinces by stronger ones. (4) Driving factors such as economic scale, urbanization level, resource endowment, government size, green technological innovation, industrial structure upgrading, and environmental regulations affected HQED at the national level and in the four major regions to varying degrees. These findings could contribute to policymakers’ efforts to design targeted regional development policies during the transition period of China’s economic development. Full article

This study investigates the impact of foreign capital inflow and the number of contracted foreign direct investment projects on urbanization. The study focused on the less-explored provinces of Liaoning, Jilin, and Heilongjiang, covering the period from 2007 to 2021. The definition of urbanization was expanded to include three elements: the urbanized labor force, emission and pollution levels, and the productivity of services in the economy. Most importantly, an urbanization index was generated to estimate the total effect of foreign capital investment on sustainable green urbanization. The analysis employs both random and fixed effects regression models, complemented by robustness checks using the generalized least squares (GLS) method. The findings indicate that while foreign capital investments contribute positively to labor urbanization and service productivity, they have a notably adverse impact on environmental quality in the examined cities. Moreover, our findings confirm an overall inverse relationship between foreign capital investment and the urbanization index: the negative impact is primarily driven by inadequate procedures for emissions control in the northeastern Chinese cities. In conclusion, this research provides insights and strategic recommendations for promoting sustainable green urbanization. Full article

Currently, Chinese cities are experiencing both overall growth and localized shrinkage. Therefore, it becomes crucial to quantify urban shrinkage and explore the transformation and sustainable development of shrinking cities from the perspective of urban resilience. This study focuses on the three provinces of Northeast China, which are representative areas of urban shrinkage, as its research subjects. Employing the analytic hierarchy process, a comprehensive evaluation system for urban shrinkage is constructed based on three dimensions: population, economy, and space. Furthermore, urban resilience is scientifically measured from four aspects: economy, society, ecology, and infrastructure. The study analyzes the spatiotemporal evolution characteristics of urban shrinkage and urban resilience in the three northeastern provinces from 2012 to 2018. It also examines the impact of urban shrinkage on urban resilience through regression analysis and mediation models. The results indicate the following: (1) Half of the cities in the three northeastern provinces experienced shrinkage, although the extent of shrinkage decreased with the implementation of the Northeast China revitalization strategy. Population-related shrinkage was the most extensive and continued to expand, while economy-related shrinkage was the most severe, and space-related shrinkage was the least severe. (2) The resilience of shrinking cities was lower than the average level. Population-shrinking cities and economy-shrinking cities exhibited low levels of economic resilience, and the gap between them continued to widen. Space-shrinking cities generally had low infrastructure resilience. (3) The urban shrinkage index had a significant positive impact on the urban resilience index, mediated through intermediary variables, such as innovation capability and cultural development. Notably, both the direct and indirect effects of innovation capability were the greatest. Population-related shrinkage had the largest impact on urban resilience, while more intermediary variables of economy-related shrinkage passed the significance test. Full article

Agricultural productive services are an important means to achieve effective allocation of regional resources and play an important role in ensuring food security and improving farmers’ welfare. However, the development process of agricultural productive services still faces problems such as large differences in service levels in different segments and low participation rates in the full service. In order to investigate the influential paths of the low participation rate of farmers in the full-service process, this study takes maize farmers in northeast China as the research object. Based on 937 survey data from six cities in three northeastern provinces, we used the Item Response Theory (IRT) model to measure farmers’ information acquisition ability and constructed the Heckman two-stage model and the IV-Heckman model to analyze the logical framework of “information acquisition ability—farmers’ choice of productive agricultural services”. The main findings are as follows: firstly, the more channels there are, the stronger the farmers’ channel internalities; the higher the degree of channel differentiation, the stronger the farmers’ channel internalities. Second, after addressing the sample selection bias and endogeneity, there is a small rise in the facilitation effect of information acquisition ability on farmers’ productive agricultural service behavior. Third, this facilitation effect is achieved through farmers’ perceived usefulness of productive agricultural services, and the mediating effect of perceived ease of use is not significant. Therefore, fostering farmers’ self-perceptions and optimizing information delivery strategies are effective ways to promote farmers’ choice of agricultural productive services and to facilitate the modernization of Chinese agriculture. In general, this study helps to reveal the theoretical mechanism of farmers’ information asymmetry, and provides empirical evidence for how to promote the development of agricultural productive services. Full article

There is often significant spatial heterogeneity in the factors influencing physical fitness in adolescents, yet less attention has been paid to this in established studies. Based on the 2018 Chinese National Student Physical Fitness Standard Test data, this study uses a multi-scale, geographically weighted regression (MGWR) model combined with a K-means clustering algorithm to construct a spatial regression model of the factors influencing adolescent physical fitness, and to investigate the degree of spatial variation in the physical fitness of Chinese adolescents from a socio-ecological perspective of health promotion. The following conclusions were drawn: the performance of the youth physical fitness regression model was significantly improved after taking spatial scale and heterogeneity into account. At the provincial scale, the non-farm output, average altitude, and precipitation of each region were strongly related to youth physical fitness, and each influencing factor generally showed a banded spatial heterogeneity pattern, which can be summarized into four types: N–S, E–W, NE–SW, and SE–NW. From the perspective of youth physical fitness, China can be divided into three regions of influence: the socio-economic-influenced region, mainly including the eastern region and some of the central provinces of China; the natural-environment-influenced region, which mainly includes the northwestern part of China and some provinces in the highland region; and the multi-factor joint-influenced region, which mainly includes the provinces in the central and northeastern regions of China. Finally, this study provides syndemic suggestions for physical fitness and health promotion for youths in each region. Full article

One potential way to promote China’s economic growth is to develop a cultural industry and enhance its competitiveness. To confirm this hypothesis, this study first utilizes the five-element diamond model, principal component analysis, and factor analysis to evaluate the competitiveness of the cultural industry in the 31 Chinese provinces during the period 2013–2019. The results reveal that the competitiveness of cultural industry in the eastern region is the strongest, followed in descending order by the central, northeastern, and western regions of China. Then, the panel regression is employed to explore the impact of the cultural industry’s competitiveness index on economic growth. The results indicate that the cultural industry’s competitiveness is positively associated with China’s economic growth. We also conduct another panel regression analysis by examining the impact of cultural industry factors on China’s economic growth to gain insight into the influence of the cultural industry components on growth. In this analysis, our results indicate that cultural industry factors, including fixed asset investment and labor, significantly play an important role in Chinese growth. This study also finds that total patent applications, the total profit of cultural enterprises, and government expenditure positively impact economic growth, but the evidence is weak. Thus, these three variables could be considered potential future driver factors. The empirical findings offer insights into strategies that the national government could implement to strengthen the cultural industry’s competitiveness as China’s new powerful driver of economic development. Compared with previous empirical studies, this research deepens the competitive cultural analysis, increases the number of observations, and lengthens the period studied. Full article

Land is the basis of development, and the unique patterns of the spatio-temporal evolution of land use in resource-based cities can reflect regional development, help land resources to be used efficiently and rationally, promote scientific regulation, and achieve high-quality development. Based on the land use data of resource-based cities in three northeastern provinces from 1980 to 2020, the spatio-temporal evolution characteristics and driving factors of land use in the sample study area were studied by the Markov transfer matrix and a parametric optimal geographic detector model. The results showed that: (1) From the perspective of time, the land use changes in the sample study area were active, mainly reflected in the continuous conversion of forest land transfer-out (11.66%) and arable land transfer-in (11.28%), and the dynamic attitude of forest land showed a trend of decreasing, then increasing and then decreasing, while the dynamic attitude of arable land showed a trend of increasing, then decreasing and then increasing. (2) Spatially, the areas where land conversion occurred were mainly concentrated in the northern part of the study area and the border area in the east, which is also the area where forest land was converted to arable land and grassland was converted to arable land, and the expansion of construction land was more common; (3) In terms of influencing factors, land conversion before 2000 was mainly influenced by socio-economic factors, and population quantity and urbanization rate had stronger explanatory power. The spatial and temporal evolution of forest land conversion to arable land was realized by the interaction of various factors, and the driver interactions were all non-linearly enhanced and bi-factor enhanced. (4) In terms of influencing factors, land conversion before 2000 was mainly influenced by socio-economics, with population quantity and urbanization rate having a stronger explanatory power; after 2000, land conversion was mainly influenced by physical geography, with precipitation and temperature having a stronger explanatory power. (5) The spatio-temporal evolution of forest land conversion to cropland was realized by the interaction between various factors, and the driving factor interactions all showed non-linear enhancement and bifactor enhancement. Full article

In the global trend of urban shrinkage, urban vitality, as one of the important representations of high-quality urban development, has become a breakthrough. More and more scholars advocate to awaken urban vitality, so as to realize the high-quality development of shrinking cities. This paper takes the municipal districts of 34 cities in the three northeastern provinces of China as study areas, based on the broad concept of urban shrinkage, selects the indicators of population, economy and society, and uses the “two-step diagnostic method” which is consistent with Chinese conditions to identify the urban shrinkage from 2010 to 2018. In this research, the indexes of economic, social, cultural, environmental and spatial dimensions are selected, and the urban vitality and the vitality of each dimension from 2010 to 2018 are calculated and analyzed by using the entropy weight method (EWM). Then, this paper analyzes the correlation between urban shrinkage and urban vitality by Pearson correlation coefficient. The results show that: (1) urban shrinkage in the three northeastern provinces of China has become a regional remarkable phenomenon, which is also an inevitable process in some regions of China and even the world; (2) overall, the urban vitality of cities in the three northeastern provinces of China is steady and rising a little, and there is an obvious spatial agglomeration pattern like “central city polarization”; (3) there is a significant correlation between urban shrinkage and urban vitality, that is, the lower the degree of urban shrinkage, the higher the urban vitality, showing the opposite trend in the process of urban development; (4) the influence of urban shrinkage on each dimension of urban vitality is different, and the correlation results are different, too. In the planning process of shrinking cities in the future, paying attention to the relationship between urban vitality and urban shrinkage, conducting benign guidance on this basis, and adjusting urban vitality elements of different dimensions to stimulate urban development power can enhance urban competitiveness and achieve better development. Full article

The high-quality development of the forestry economy refers not only to the quantity of economic growth but also to the improvement of its quality, that is, driving forestry economic development through technological change and industrial structure upgrading. In this paper, a multi-angle indicator evaluation system and obstacle model were constructed to explore the current situation and obstacle factors of the high-quality development of the forestry economy in 31 Chinese provinces (municipalities and autonomous regions) from 2005 to 2020. At the same time, based on the mediating effect of industrial structure upgrading, a mediating effects model was constructed to analyze the direct and indirect effects of forestry’s biased technological change on high-quality economic development. The results showed three key findings: (1) There was regional heterogeneity in the high-quality development of the forestry economy in China, and the biggest obstacle factor was technological change. (2) Forestry’s biased technological change had a significant positive effect on high-quality economic development, with a total effect of 0.222; industrial structure upgrading played a partial mediating effect, and 16.7% of the effect was indirectly realized by promoting industrial structure upgrading. (3) The contribution of forestry’s biased technological change to high-quality economic development in the western and northeastern regions was greater than that in the eastern and central regions. Based on this, the promotion of the high-quality development of the forestry economy and the enhancement of industrial structure upgrading through optimizing biased technological change were suggested. Full article

Built environment factors such as air pollution are associated with the risk of respiratory disease, but few studies have carried out profound investigation. We aimed to evaluate the association between the built environment and Chinese women’s lung cancer incidence data from the China Cancer Registry Annual Report 2017, which covered 345,711,600 people and 449 qualified cancer registries in mainland China. The air quality indicator (PM2.5) and other built environment data are obtained from the China Statistical Yearbook and other official approved materials. An exploratory regression tool is applied by using Chinese women’s lung cancer incidence data (Segi population) as the dependent variable, PM2.5 index and other built environment factors as the independent variables. An apparent clustering region with a high incidence of women’s lung cancer was discovered, including regions surrounding Bohai bay and the three Chinese northeastern provinces, Heilongjiang, Liaoning and Inner Mongolia. Besides air quality, built environment factors were found to have a weak but clear impact on lung cancer incidence. Land-use intensity and the greening coverage ratio were positive, and the urbanization rate and population density were negatively correlated with lung cancer incidence. The role of green spaces in Chinese women’s lung cancer incidence has not been proven. Full article