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The reuse of existing industrial spatial resources in China’s major urban agglomerations is still very unbalanced and needs more in-depth research. This study used intensive evaluation technology for industrial land in Beijing, Tianjin, and Hebei to evaluate Tianjin and Hebei development zones, and took the Dingzhou Economic Development Zone as an...
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... leading industry of the Dingzhou economic development zone in Hebei Province is a high-end equipment manufacturing industry, with a basically ideal infrastructure, and is engaged in the production and sales of microvehicles, light vehicles, new energy Land 2022, 11, 432 6 of 17 vehicles, and critical parts. Typical enterprises in the development zone were selected as representatives for the intensive evaluation of enterprise land use ( Figure 2 and Table 1). Land 2022, 11, 432 6 of 17 ...Context 2
... leading industry of the Dingzhou economic development zone in Hebei Province is a high-end equipment manufacturing industry, with a basically ideal infrastructure, and is engaged in the production and sales of microvehicles, light vehicles, new energy vehicles, and critical parts. Typical enterprises in the development zone were selected as representatives for the intensive evaluation of enterprise land use ( Figure 2 and Table 1). ...Citations
... From the perspective of research categories, the studies involve both micro and macro aspects. This study analyzed the land use of different industrial types from the micro level and the focus on the rational land utilization [7]. However, an analysis from the micro perspective cannot effectively solve the external impact, so the attention of scholars to land studies has increasingly shifted to the macro level, thus tending toward provincial level [8], urban agglomeration, [9] and prefecture-level city studies [10], where the focus is on spatiotemporal features and influential factors [11,12]. ...
The study of urban land use efficiency is of great significance for optimizing the spatial allocation of urban land, thereby promoting the intensive use of urban land and the transformation of economic development modes. Taking the Yangtze River Economic Belt (YREB) as the study object, we chose the undesirable Slacks-Based Measure (SBM) model to calculate the urban land use efficiency (ULUE). Then, we utilized the spatial correlation analysis and econometric methods to discuss its spatio-temporal features and influential factors. The results show the following: (1) The urban land use efficiency in the YREB steadily improved from 2010 to 2022, but the inter-regional efficiency gap evidently increased. (2) There is an efficiency value to be found in a multi-center network structure, and it forms a “core-periphery” distribution pattern. The high-efficiency areas in the downstream and upstream regions of the YREB are gradually increasing, while the efficiency value in the midstream area remains low. (3) The urban efficiency values have strong correlation, and they are mainly “High-High agglomeration” and “Low-Low agglomeration”, and they show significant regional characteristics. (4) The economic level, industrial structure, and urbanization have obvious motivating effects on ULUE, and the positive spatial spillover effect is clear. The foreign direct investment and land finance hinder the boost of efficiency, and the latter has a negative spatial spillover role on the ULUE in the downstream cities.
... As the main undertaker of land ecological security governance, enterprises should actively innovate the concept of green development, improve the awareness of energy conservation and emission reduction, and reduce the land contamination discharge that may occur in the production process. Enterprises should actively implement the coordinated development concept of product development, resource conservation, environmental friendliness, and ecological safety in China's new urbanization construction (Yang et al. 2022b). Through technological innovation and capital investment, enterprises can actively eliminate outdated processes with heavy contamination and high consumption, increase the research and development and application of advanced technology for clean production, vigorously develop green and energy-saving production, and contribute to regional land ecological security governance. ...
The rapid development of China’s new urbanization has created favorable conditions for economic growth and social development. Urbanization includes population urbanization and land urbanization, among which land urbanization leads to land ecological security problems. At present, there is a lack of comprehensive understanding of land ecological security in China’s new urbanization construction. This paper aims to fill the gap by systematically combing relevant literature on the connotation, status, and governance of land ecological security in China’s new urbanization. Literature review shows that China’s land ecological security is still at a low level, and the new urbanization construction has significant impacts on land ecological security. Land contamination is the most critical factor threatening land ecological security, and there are differences in the levels of land contamination and types of pollutants in different new urbanization construction forms. According to an example of land ecological security governance with enterprises as the main body and multiple subjects cooperating, the governance of land ecological security needs to integrate a variety of different subjects to coordinate governance. Future research directions should focus on the construction of land ecological security assessment index system, development of land contamination multi-level control technology, and construction of multi-subject collaborative governance model with “government-enterprise-social organization-residents.”
... In recent years, some scholars have proposed diversified use characterized by three-dimensional and four-dimensional spatial use to achieve the intensification of spatial use, which has introduced new elements into the meaning of intensive urban land use [26]. From an assessment scale perspective, such assessment generally includes macro assessment (comprehensive assessment of national, regional, or urban land use intensification) [24,[27][28][29][30], mid-range assessment (assessment of actual land use classification or thematic assessment) [31][32][33], and micro assessment (assessment of commercial land) [34,35]. The evaluation of land use intensification mainly consists of the evaluation of the current situation, policy discussion, and analysis of the factors influencing urban land use. ...
... For each type of land use within its possible intensity of use threshold, the optimal intensity of land use increases with the average productivity of society and the level of urban development, which means that the difference in land use intensity criteria reflects the difference in the level of intensive land use [35]. In essence, the floor area ratio of large functional buildings represents the degree of spatial concentration of urban functions and indicates the dominant development direction of urban functions in a city center [56]. ...
Intensive land use assessment is a key research topic in urban land use, and most of the existing studies focus on macro-level assessment. There is a lack of research on the micro-level assessment of intensive urban land use, especially at the parcel level. The objective of this research is to propose a method for the parcel-based evaluation of urban commercial land intensification. The study uses a multidimensional evaluation framework and index system, comprehensive evaluation, and spatially exploratory analysis of urban commercial intensive land use based on “building intensity, use efficiency, compatibility, and diversity”. The study finds that (1) the average value of intensive use of urban commercial land is 13.01, the standard deviation is 5.11, and the median value is 13, which generally indicate a medium level. (2) The degree of intensive use of commercial land has obvious characteristics of a high, medium, and low level. The study shows that when evaluating the degree of land use intensification at the parcel level, it is also necessary to consider the influence of the compatibility and diversity of external land use. The research results can provide a basis for spatial planning and the optimal design of urban land resources to improve urban vitality.
... From the perspective of spatial effects, in view of the spatial agglomeration and spatial differences in my country's environmental policies, institutional environment and energy structure, when examining the impact of the establishment of national development zones on local carbon dioxide emissions, the carbon emissions of neighboring cities should also be taken into account (69). In other words, we should fully consider the spatial spillover effect of policy. ...
The expansion of China's development zones has made great contributions to economic development, as well as provided practical guidance for other developing countries to implement development zone policies. However, in the context of global advocacy of low carbon, literature about how the development zone policy affect carbon emissions is poor, especially in China at the urban level. Therefore, this study takes China's development zone policy as a quasi-natural experiment, using the panel data of 285 cities in China from 2003 to 2020, and adopting the DID model to analyze its impact on carbon emissions. After a series of robustness tests including placebo test, dynamic test (all independent variables are lagged by one period), endogeneity test, and parallel trend test, the results are basically robust. The findings show that the development zone policy indeed significantly reduces carbon emissions. In addition, we find that cities with higher resource endowments, cities in the eastern and central regions, and other larger cities across the country have better carbon emissions reduction effects. To a certain extent, the research in this paper fills the gap of theoretical research on carbon emissions in terms of the development zone policy, and provides some practical basis for future research in the field of carbon emissions.
... Of particular concern to us is the fact that urban-rural income inequality, as the main force driving overall income inequality in China, may have an important effect on the sustainability of economic growth. China is currently undergoing a transformation in the way it grows, requiring more sustainable and harmonious economic growth in the future [12]. Therefore, it is against this background that our paper focuses on investigating the time-varying effects of urban-rural income inequality for sustainable economic growth under the context of urbanization and monetary policy in China. ...
Income inequality in China has become increasingly serious since the beginning of the economic reform period in the 1970s, with urban–rural income inequality playing a large role. Urbanization policy and monetary policy are currently important economic policy tools for the Chinese government. In order to investigate the influence of inequality on the economy and to provide recommendations for ensuring the sustainability of growth, we study the effect of urban–rural income inequality on economic growth in the context of urbanization and monetary policy in China between 2002 and 2021. Using a flexible time-varying parametric structural vector auto-regression (TVP-VAR) model and a robust Markov chain Monte Carlo (MCMC) algorithm, our empirical results show that the effect is time-varying, with inequality promoting growth in the early years but affecting it adversely at later stages. Currently, urbanization mitigates inequality and promotes growth simultaneously, while easy monetary policy worsens inequality and affects growth adversely in the long term. We suggest that the authorities need to consider the implementation of policy rebalancing to ensure that the sustainability of economic development is not jeopardized because of worsening income disparity. Proactive urbanization policy and prudent monetary policy are viable rebalancing options.
... Based on the analysis of the three spatial functions (P-L-E) and previous studies [8,23,24,[53][54][55][56][57][58][59], and considering indicator stability and data availability, evaluation indicators were selected considering spatial types in Feixi County. Considering the complexity and repeatability of attribute data, when constructing and using the spatial utilization quality evaluation index system, the composite functional space involved in Table 2 was merged into a single functional space based on its dominant function. ...
Rural revitalization places higher demands on the productive–living–ecological (P-L-E) spaces of towns and cities. It is necessary, therefore, to identify, evaluate, and optimize P-L-E spaces to better guide spatial planning. Existing studies typically evaluate a single space, lacking a comprehensive consideration of whole-area integration. This study, therefore, developed a coupled spatial/developmental suitability evaluation system for Feixi County, Anhui Province, China, combining spatial quality evaluation, a coupled coordination model, and future land-use simulation (FLUS) model. The spatial quality of Feixi County in 2010, 2015, and 2020 was obtained by applying the evaluation system to the spatial development pattern. The results were analyzed and verified using the landscape pattern index and development suitability evaluation. The results showed the following: (1) The coupling coordination degree of the region increased from 0.131 to 0.372, changing from low to moderate coordination. (2) Based on the FLUS model to better capture the uncertainty and stochastic basis of the development in the study area. The kappa coefficient and Figure of Merit (FoM) index of the land-use simulation accuracy verification index were 0.7647 and 0.0508, respectively, and the logistic regression ROC values were above 0.75, thus meeting accuracy requirements. This demonstrated that the simulation model—based on a factor library of the evaluation of resource and environmental carrying capacity and suitability for development and construction—could better reflect future land-use changes. (3) The simulation showed that under the baseline development scenario, the area’s spatial layout is too concentrated in terms of construction land, ignoring P-L-E coordination. Under the ecological optimization scenario, high-quality ecological space is ensured, but other types of spaces are lacking. Under the comprehensive guidance scenario, lagging ecological space is optimized and P-L-E spatial development is enhanced through aggregation, clustering, concentration and integration. This way, the spatial quantity structure and distribution form can meet P-L-E spatial development needs in Feixi County. In this study, on the basis of scientific assessment of the current P-L-E space, the FLUS model was applied to carry out a scenario simulation according to different objectives. Moreover, based on the construction of the coupling system of human–nature system, the driving factors were improved to enhance the prediction accuracy of the FLUS model. This study’s findings can help improve the scientificity, flexibility and management efficiency of Feixi County’s P-L-E spatial layout, thereby supporting its sustainable development.
