New-type Urbanization Construction Research Articles

Examining coordination and equilibrium: an analysis of supply index and spatial evolution characteristics for older adult services in Zhejiang Province.

This study aims to analyze the spatial distribution and dynamic evolution of older adult service supply in Zhejiang Province from 2010 to 2019. Additionally, this research seeks to propose an optimized resource allocation strategy for older adult care services, promoting regional fairness and coordinated development. To evaluate the older adult service supply capacity, this research first constructed an evaluation index system based on the Chinese modernization development pattern. Then, an empirical analysis was carried out using a combination of the entropy-TOPSIS method, kernel density estimation, Markov chain analysis, Dagum Gini coefficient, and panel regression model. The results show an overall upward trend in the supply and service capacity of older adult care in the whole province. However, the spatial distribution of older adult service supply capacity in Zhejiang Province still exhibits a gradient effect, even in the most recent year of 2019. Furthermore, the supply capacity of older adult services shifted to a higher level in the whole province, and regions with high supply capacity had a positive spillover effect on adjacent regions. The overall difference in the older adult service supply capacity of the province showed a decreasing trend. The level of economic development, urbanization rate, transportation capacity, the level of opening up, and the proportion of employees in the tertiary industry had a significant impact on the supply capacity and spatial difference of older adult services. From the findings, this study puts forth countermeasures and suggestions to optimize the spatial distribution of older adult care services. This includes giving full play to the regional spatial linkage effect, promoting new-type urbanization construction, upgrading the transportation network, and expanding the opening up of the industrial structure. By implementing these measures, a more equitable and coordinated older adult services system can be developed in Zhejiang Province.

Spatial-temporal evolution pattern of multidimensional urban shrinkage in China and its impact on urban form

The scientific recognition of urban shrinkage patterns and their impacts is crucial for urban economic development and building harmonious relationships between people and the environment. This study, through the construction of a multidimensional evaluation system for urban shrinkage, provides a systematic analysis of the spatial patterns and evolution of urban shrinkage in China from 2000 to 2020, and examines the effects of urban shrinkage on the evolution of urban form. The findings suggest that: (i) The trend of urban shrinkage in China is worsening, with shrinking cities primarily located in the peripheral areas of growth poles and the northeast region, often exhibiting a simultaneous shrinkage in population, economy, and society; (ii) Urban shrinkage, especially population and economic shrinkage, has a growing influence on urban form, leading to a reduction in the speed and scale of urban land expansion and a decrease in the number of urban patches; (iii) There is a spatial mismatch between the level of urban shrinkage and urban form indicators, particularly in some cities where a paradox of population loss, economic decline, and urban land expansion coexist. This contradiction severely violates the laws of urban development and poses a threat to the construction of new-type urbanization.

Can new-type urbanization reduce urban building carbon emissions? New evidence from China

Aiming to seek for the key factors of urban building carbon emissions under the background of new-type urbanization, this study attempts to establish an integrated analysis framework to explore the impact of new-type urbanization on urban building carbon emissions from scale, average and structure dimensions, the carbon emission coefficient method and panel data model were adopted to analysis the panel data of 31 provinces in China from 2009 to 2020. Spatial characteristics indicate that the internal difference of urban building carbon emissions is insignificant in northwest and significant in southeast of China. The empirical results indicated that the new-type urbanization construction has reduced urban building carbon emissions, but there was still a significant carbon emission effect from the dimensions of scale, average, and structure. Industrial upgrading and urban green space have a significant positive effect on urban building carbon emissions reduction, but the added value of the tertiary industry still has a significant carbon emission effect. Additionally, urbanization rate, population density, and total population have increased urban building carbon emissions under the new-type urbanization construction. This study provides a deeper perception for the policy design of carbon emission reduction based on the background of new-type urbanization.

New‑type urbanization construction, shift-share of employment, and CO2 emissions: evidence from China.

Providing diversified jobs for workers and achieving green development are important goals of the new-type urbanization construction (NTUC) in China. We constructed a difference-in-difference model to investigate the effect of the NTUC on the shift-share of employment (SSE), using panel data of 272 Chinese prefecture-level cities from 2005 to 2019. The relationship between the SSE and CO2 emissions was explored. The results show that the NTUC effectively promotes the SSE and exhibits the significant regional and industry heterogeneity. In addition, the SSE under the NTUC pilot policy can effectively reduce CO2 emissions and presents the obvious regional and industrial differences. Promoting the industrial structure advancement and improving public services and digital levels can enhance the inhibitory effect of the SSE on CO2 emissions. Meanwhile, the SSE has an inhibitory effect on CO2 emissions in local regions but promotes the CO2 emissions in the neighboring regions. Finally, these findings provide an important decision-making reference for restructure employment and reduce CO2 emissions during the period of urban transformation and development.

Research on the Impact of the Digital Economy on China’s New-Type Urbanization: Based on Spatial and Mediation Models

In the context of sustainable development, how the digital economy affects the development of new-type urbanization is a matter of concern. Based on the panel data of 30 provinces in China from 2011 to 2020, this article empirically explores the effect of the digital economy on the quality of new-type urbanization development. The results show the following. (1) The digital economy can significantly improve the development quality of new-type urbanization, which is still significantly valid after a series of robustness tests. (2) The mechanism analysis shows that the upgrading of industrial structures is an important transmission path for the digital economy to improve the quality of new-type urbanization development. (3) The spatial effect analysis shows that the development of the digital economy can not only significantly improve the quality of new-type urbanization development in this region, but also improve the quality of new-type urbanization development in surrounding areas through spillover effects. (4) The heterogeneity analysis shows that the development of the digital economy in the central and western provinces of China and in the big data pilot provinces plays a greater role in promoting the quality of new-type urbanization development. It is clear that the construction of new-type urbanization should fully consider the development trend of the digital economy, seize the policy and the technological dividends brought about by the digital economy, and explore more development opportunities.

Can New-Type Urbanization Construction Narrow the Urban–Rural Income Gap? Evidence from China

To promote economic development, an imbalance in urban–rural development has been caused by a policy of favoring urban areas in every county. Recently, breaking the “urban–rural dual structure” and emphasizing urban–rural “integration” have become the ideal models for most countries to realize sustainable urbanization development. In China, the main goals of new-type urbanization construction (NTUC) are to optimize the urban–rural structure and improve the living standards of rural residents, help narrow the urban–rural income gap (URIG), and realize urban–rural sustainable development. This paper mainly studied the effect of NTUC on the URIG, analyzing the dynamic impact and regional heterogeneity. The moderating effect of NTUC on the URIG was also tested. A difference-in-difference model and mediating effect model were used to investigate the impact of the NTUC on the URIG. We found that, firstly, NTUC can significantly reduce the URIG. After a series of robustness tests was implemented, the results still held. Secondly, the effect of NTUC on the URIG was −0.1684 in the short term and −0.1710 in the long term. NTUC can significantly reduce the URIG in the central and western regions, but the negative impact is insignificant in the eastern region. Thirdly, industrial structure upgrades and financial and digital development are all important ways that NTUC narrows the URIG. Finally, based on our research conclusions, we put forward corresponding countermeasures and suggestions related to the policy implementation of NTUC, regional differences, industrial structure upgrading, and financial and digital development.

Exploring the coupling coordination and key factors between urbanization and land use efficiency in ecologically sensitive areas: A case study of the Loess Plateau, China

• Exploring the coordination characteristics of UR and ULUE based on CCD model and GWR model. • Constructing a comprehensive evaluation index system of urbanization and land use efficiency. • Analyzing the multi-level key factors of CCD between UR and ULUE in the Loess Plateau. • Providing a case study for urban planning and urban large-scale construction engineering in ecologically sensitive areas. With the acceleration of rapid urbanization and industrialization, the contradictory relationship between urbanization construction and urban land use becomes increasingly prominent. Exploring the complex dynamic relationship between urbanization (UR) and urban land use efficiency (ULUE) is conductive to new-type urbanization construction and ecological environment protection. The urbanization subsystem consists of four aspects, including demographic urbanization, economic urbanization, spatial urbanization, and social urbanization. ULUE was measured by SBM model, the coupling coordination degree model (CCDM) and geographically weighted regression model (GWRM) were adopted to explore the CCD and its spatial effect of thirty-nine cities in the Loess Plateau from 2010 to 2019. The empirical results showed that there was a significant imbalanced development difference of CCD between UR and ULUE, the comprehensive development of urbanization subsystem lags the urban land use efficiency subsystem, and the hot spots are concentrated in the northwest areas and the cold spots are concentrated in the south areas. Additionally, urban carbon emission, population density, and total fixed asset investment have significant negative spatial effects on CCD, urban road construction has positive spatial impact on CCD. These findings and conclusions can provide decision-making information reference for urban planning and urban large-scale construction engineering in ecologically sensitive areas.

Does new-type urbanization curb haze pollution? A case study from China.

The rapid urbanization process has led to a high concentration of population and economic activities in urban space, thus leading to severe environmental pollution. The concept of new-type urbanization has been proposed in China to combat the pollution associated with urbanization. This study analyzes the interaction effect of new-type urbanization with land, industry, and technology on haze pollution, using Chinese provincial-level panel data, and employs a STIRPAT model with interaction terms for empirical testing. The results find that new-type urbanization can significantly reduce the national haze pollution level; meanwhile, the optimization of intensive urban land use level, industrial structure, and technological innovation can interact with it to promote haze reduction, and there is regional heterogeneity. The improvement of intensive urban land use and industrial structure in the central region will significantly enhance the haze reduction effect of new-type urbanization, while the improvement of technological innovation in the west will instead weaken its haze reduction effect, and the interaction in the eastern region is not significant. This research provides a theoretical basis for better implementation of new-type urbanization construction and effective promotion of green and sustainable urban development.

How does new-type urbanization affect air pollution? Empirical evidence based on spatial spillover effect and spatial Durbin model.

To alleviate the ecological and environmental problems caused by rapid urban development, China has formulated and implemented the new-type urbanization strategy. However, there is insufficient empirical research on the specific relationship between new-type urbanization and air pollution. Therefore, based on the panel data of 30 provinces in China from 2005 to 2018, this paper constructs a comprehensive evaluation index system of new-type urbanization using the five dimensions of population, economy, space, society, and green. The spatial Durbin model and the spatial mediating model are used to discuss the spatial effect, transmission mechanism, and regional heterogeneity of new-type urbanization on air pollution. The results show that China's air pollution mainly presents a spatial pattern of high-high agglomeration and low-low agglomeration, and there are spatial fluctuations. The construction of new-type urbanization significantly reduces local air pollution, and the industrial structure optimization, technological innovation, and energy structure adjustment are considered as important transmission mechanisms. However, under the fiscal decentralization and political tournament system in China, the policy implementation deviation may weaken the emission reduction effect of new-type urbanization, which is not conducive to regional environmental governance. From the sub-regional level, the impact of new-type urbanization on air pollution has regional heterogeneity. A robustness test confirms the reliability of our research conclusions. This study also proposes some policy suggestions that the government can utilize in grasping the policy focus of new-type urbanization construction to discover effective ways of controlling air pollution.

Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing.

Land urbanization (LU) and population urbanization (PU) maintain the nature of spatiotemporal heterogeneity in China. As a municipality directly administered by the central government in the mode of “large cities and large rural areas”, Chongqing’s urbanization process is the epitome of China’s urbanization process. This paper examines the spatiotemporal variability of LU and PU in Chongqing on the basis of nighttime light data, the elasticity coefficient of the coupling relationship, and GWR. The results show that (1) the urban land and urban population in Chongqing grew notably from 2008 to 2018, with average annual growth rates of 9.4% and 2.3%, respectively. (2) The coupling coordination coefficient of LU and PU in Chongqing was 0.24, and the total number of districts and counties with uncoordinated development increased, but the overall uncoordinated situation gradually improved over the period. (3) The influence of PU on LU in each district and county increased year by year, and it showed a decreasing trend from southwest to northeast in Chongqing, which indicates that LU was increasingly adapted to the construction needs of PU. The gap between LU and PU widened due to the household registration system, land fiscal policies and other policies. After the reform of the household registration system and the adjustment of new pilot policies targeting the construction of new-type urbanization, the coupling relationship between LU and PU was gradually improving to the coordinated mode. The findings indicate that Chinese urban areas should adhere to the principle of new-type urbanization construction and carry out scientific land planning strategies, strictly controlling land expansion to promote the reasonable development of population growth.

Does Rapid Urbanization Improve Green Water-Use Efficiency? Based on the Investigation of Guangdong Province, China

The green water-use efficiency considers the undesired output of water pollution discharge as well as desirable output, pursuing the unification of economic and ecological benefit. In recent years, China has been undergoing a process of rapid urbanization and a dramatic change in the water utilization pattern, while the water pollution discharge is becoming more obvious. Taking Guangdong Province as an example, the largest economy and urbanization pilot area, exploring the impact of different aspects of rapid urbanization on green water-use efficiency is of great significance for promoting new-type urbanization and green development. This study adopts the super efficiency slack-based model (SE-SBM) considering undesirable output to measure the green water-use efficiency of each city in Guangdong Province. On this basis, mixed panel, random panel, and fixed panel models are used to explore the relationship between industrial urbanization, population urbanization, land urbanization, social urbanization, and urban-rural integration on green water-use efficiency. The results reveal that Guangdong’s green water-use efficiency follows a low upward trend. The green water-use efficiency of the Pearl River Delta has improved rapidly, while other regions are maintained at a low level, so regional disparities are also widening. Industrial urbanization and land urbanization have a significant positive effect on green water-use efficiency, while social urbanization and urban-rural integration have a significant negative effect. The effect of population urbanization on the efficiency is not significant. The construction of new-type urbanization should be accelerated, the green transformation and upgrading of industries should be guided, and the urbanization of agricultural migrants should be promoted. It is necessary to rationally plan and utilize urban land resources and comprehensively improve urban functions and livability.

Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces

At present, there is much literature on economic growth and energy consumption, but there is little literature combined with the industry perspective. This paper aims to clarify whether the development of energy-intensive industries is an indirect way for economic growth to affect energy consumption, which can provide a reference for the coordination of economic growth goals, industry development and reducing energy consumption. Based on China’s provincial panel data from 2000 to 2019, this paper measures the scale of provincial energy-intensive industries by entropy method and uses the panel regression model to test its transmission effect on energy consumption. The results show that 23.96% of the effects of economic growth on energy consumption are indirectly generated through the transmission of energy-intensive industries. Moreover, the transmission effects are only established in the eastern and western regions but are not significant in the central region. Therefore, controlling the rapid development of energy-intensive industries is an effective way to curb the expansion of China’s energy consumption scale. Green technology innovation, new-type urbanization construction and other supportive measures should be taken in accordance with local conditions. This research contributes to the coordinated and sustainable development of the economy, industry, and energy.

Simulating the Impacts of the New-Type Urbanization Policy on Rural Settlement Changes: A Case Study in Dingzhou, China

To cope with the difficulties of integrating migrant workers into urban life and inefficient land use caused by conventional urbanization, China has proposed a new type of urbanization policy. This policy may have a significant impact on the spatial patterns of rural settlements in China. Exploring this potential impact is conducive to the proposal of scientific plans for the spatial patterns of rural settlements. Therefore, this paper chooses Dingzhou, one of the pilot cities of this new-type urbanization, as the research area to carry out a simulation study on the impact of the new-type urbanization policy. Dingzhou has invested heavily in the new-type urbanization construction in recent years, but the influence of the policy on rural settlements remains unclear. Based on the theoretical framework of previous studies, this paper set up three scenarios, namely “conventional urbanization”, “new-type urbanization”, and “counter-urbanization”. This paper used FLUS (Future Land Use Simulation) Model and various spatial data to simulate the spatial patterns of rural settlements in Dingzhou in 2030 under the different scenarios. By comparing the different scenarios, the impacts of the new-type urbanization policy on the spatial patterns of rural settlements in Dingzhou were evaluated. The results indicated that: (1) From 2000 to 2015, the area of rural settlements in Dingzhou increased by 11.12%. Spatially, the density of rural settlements around the cities and towns increased, and rural settlement areas were mainly converted from cultivated land. Rural settlements were mainly transformed into urban land and cultivated land. (2) The overall simulation accuracy of FLUS was 0.89, so it can be well applied to the simulation of rural settlements. (3) In all three scenarios, rural settlements expanded along their edges, and the closer they were to towns, the more obvious the expansion was. In the counter-urbanization scenario, the change of rural settlements was most dramatic. (4) The new-type urbanization policy makes the spatial patterns of rural settlements in Dingzhou more stable and more intensive.

Does new-type urbanization help reduce haze pollution damage? Evidence from China's county-level panel data.

Urban transformation is the key to sustainable urban development. China is currently undergoing massive urban transformation, that is, new-type urbanization. This study explored the relationship between new-type urbanization construction and haze pollution by constructing a time-varying DID model based on 2013-2018 district and county data. Our empirical results show that new-type urbanization can significantly improve haze pollution. We also examined the heterogeneous differences in new-type urbanization's effects on haze pollution. First, we find that new urbanization construction has no significant effect on haze pollution in cities rich in natural resources. Second, its effect on haze pollution was most pronounced in the eastern region, which had the highest urbanization rate. This study also explored the moderating effect of new urbanization and haze pollution from the urban governance perspective. The results show that the government's fiscal spending capacity is significant for new-type urbanization's ability to improve haze pollution. In addition, in the pilot year, the turnover of regional officials enhanced new-type urbanization construction to improve haze pollution. We also find that districts and counties implementing pilot new-type urbanization are conducive to reducing haze pollution in surrounding areas in the same city not implementing new-type urbanization; however, they exacerbate haze pollution in other provincial areas that have not implemented new-type urbanization. Finally, we propose relevant policy recommendations based on the empirical results.

How does green technology innovation affect urbanization? An empirical study from provinces of China.

The construction of new-type urbanization with the theme of innovation, green, and smart development is becoming the endogenous driving force of China's economic transformation and upgrading, and green technological innovation is a key factor in cracking the problems of development motivation and environmental constraints in urbanization construction. This paper investigates the impact of green technology innovation on urbanization based on a panel dataset covering 30 provinces in China from 2005 to 2019. First, we use the entropy method and the super-efficiency DEA method to measure the level of urbanization and green technology innovation, respectively. Moreover, on this basis, we use panel regression model and FGLS model to estimate the direct impact of green technological innovation on urbanization and its three dimensions-population urbanization, industrial urbanization, and ecological urbanization. Then, the mediating effect model is used to further study the indirect impact of green technological innovation on urbanization. The results indicate that green technological innovation is the most effective way to promote the development of new urbanization currently. In addition, green technology innovation can indirectly affect urbanization through the effects of foreign capital, energy consumption and information development, while the effect of industrial structure optimization effects is not significant. Finally, some policy suggestions are discussed to better promote the development of urbanization in China.

长江中游城市群生态系统健康时空演变特征分析

城市群地区生态系统健康状况关乎城市群的可持续发展，科学测度城市群地区生态系统健康水平对城市群地区生态系统健康宏观调控政策制定具有重要的实践意义，然而当前生态系统健康评价仍存在不足之处。生态系统服务是反映生态系统健康状况的重要组成部分，如何把生态系统服务纳入生态系统健康评估框架中，成为了当前研究讨论的热点话题。拟把基于InVEST模型评估的生态系统服务纳入生态系统健康评估框架中，构建了基于"生态系统活力-生态系统组织力-生态系统弹性-生态系统服务"的评估框架，结合多源数据对1995-2015年长江中游城市群生态系统健康水平时空特征进行测度。结果显示：（1）研究期间长江中游城市群地区生态系统健康状况总体有所恶化，恶化区域主要分布在城市群的核心地区；（2）研究期间长江中游城市群地区生态系统健康存在显著的空间依赖性，生态系统健康高值区主要分布在周边山区以及中部的罗霄山脉，生态系统健康低值区主要分布在平原地区、大城市周边地区以及主要的交通线路沿线地区。本研究结果可以为其他地区生态系统健康评估以及长江中游城市群地区生态系统健康保护政策制定提供科学借鉴。;Rapid urbanization in urban agglomerations has resulted in serious degradation of ecosystem functions and deterioration of ecosystem health, which hinders the current process of new-type urbanization and ecological civilization construction in China. Healthy ecosystem in urban agglomerations is closely related to the sustainability of urban agglomerations. The scientific assessment of the ecosystem health status has important practical significance for the formulation of macro-control policies for ecosystem health in the urban agglomerations, but the current studies about the ecosystem health evaluation in urban agglomerations were still insufficient. An increasing number of studies have been carried out on the theories, concepts, spatiotemporal differentiation characteristics, and influencing factors of ecosystem health, but few studies have included the results of ecosystem services assessment based on InVEST model into the theoretical framework of ecosystem health assessment. Ecosystem services assessment is an important part to reflect the health status of the ecosystem. Ecosystem services assessment based on InVEST model can well reflect the structure, function, and ecological process of ecosystem services, and realize the spatial and dynamic quantitative assessment of ecosystem services. How to integrate ecosystem services into the framework of ecosystem health assessment has become a hot topic of the current studies. Based on the ecosystem services evaluated by InVEST model, this study constructed the ecosystem health assessment framework system of Vigor-Organization-Resilience-Ecosystem Services, and evaluated the ecosystem health level in the Middle Reaches of the Yangtze River Urban Agglomerations (MRYRUA) with multi-source data. The results showed that:(1) the ecosystem health index in Jianghan Plain, Dongting Lake Plain, Wuhan, Changsha, Nanchang, and other surrounding counties was mostly below 0.35, while the ecosystem health index of the surrounding mountainous counties was more than 0.65. In addition, the ecosystem health index of units along major traffic routes was lower than that of other regions. The overall ecosystem health status in the MRYRUA deteriorated during the study period, mainly in the core areas of these urban agglomerations. (2) The ecosystem health in the MRYRUA showed significantly spatial dependence during the study period, the high-valued areas of ecosystem health were mainly distributed in the surrounding mountainous areas and the central Luoxiao Mountains, while the low-valued areas of ecosystem health were mainly distributed in the plain areas, the surrounding areas of key cities, and the areas along the main traffic routes. The results of the study can provide scientific support for ecosystem health assessment in other regions and ecosystem health protection policy-making in the MRYRUA.

Does the new-type urbanization construction improve the efficiency of agricultural green water utilization in the Yangtze River Economic Belt?

It is very important to control agricultural water pollution and promote agricultural water saving, for high-quality development of Yangtze River Economic Belt (YREB). The efficiency of agricultural green water utilization (EAGWU) needs financial and technical support from the new-type urbanization, which also change agricultural production mode and resource utilization level. This paper introduces non-point source water pollution into the output, adopts the super efficiency-slack model (SE-SBM) to measure the EAGWU, and uses difference generalized method of moments (DIF-GMM) to examine how new-type urbanization affects EAGWU from its four core characteristics. The results of EAGWU show that the overall efficiency value has been increasing rapidly in the research period, while the eastern provinces performed better and the central provinces performed worse. On the other hand, the overall difference in EAGWU first diverged and then shrunk, while economically developed provinces has been converging all the time. The results of driving factor estimation show that population urbanization has a significantly positive effect on EAGWU, with the rural labor force transfer and agricultural land circulation. Economic urbanization and urban-rural integration have negative effects, with the widening gap of absolute income and the compressed space of agricultural development. The EAGWU lag phase has a positive effect, because of the ratchet or cumulative effect, while equilibrium-urbanization has an insignificant effect. The conclusions will provide preferable recommendations for decision-making of green and water-saving development in agriculture.

How Much is the Consumption Potential of Citizenized Migrants? — Based on the Estimation of Migrants’ Income Elasticity of Demand in the New Era of China

The economic development and urbanization in China have stepped into a new stage, and the style of migrants’ consumption has changed. We use nationally representative data from China Migrants Dynamic Survey (2010–2017) for the evaluation of migrants’ income elasticity of demand and data from Urban Household Survey for that of local citizens in the new era of China. The results show the following: (1) Migrants’ income elasticity of demand has reached 0.67 since the new era, presenting a sharply rising trend. In 2017, this number rose to 0.72, indicating that the overall consumption behavior of migrants tended to be localized. (2) Compared with the average consumption elasticity of local citizens (around 0.8), migrants’ income elasticity of demand was low, and still had room for improvement. (3) Citizenized migrants play a significant role in stimulating consumption. As estimated with consumption function, if citizenized migrants’ income elasticity of demand converges with that of local citizens, the total consumption will reach 15.8 trillion in 2030, equivalent to 9.3% of GDP of the year. The consumption growth directly driven by citizenized migrants is about 8 trillion yuan, equivalent to 4.7 percentage points of the GDP. Migrants are not only labor forces but also important consumers for urban areas. Therefore, to expand domestic demands and shift economic development paradigm, it is crucial to citizenize migrants as soon as possible by accelerating the construction of new-type urbanization and the reform of household registration system.

基于InVEST模型的皖西大别山区生境质量时空演化及景观格局分析

PDF HTML阅读 XML下载 导出引用 引用提醒 基于InVEST模型的皖西大别山区生境质量时空演化及景观格局分析 DOI: 10.5846/stxb201904260858 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家社会科学基金重点项目（14AZD124）；安徽高校人文社会科学研究重大项目（SK2018ZD043）；安徽省科技创新战略与软科学研究项目（201806a02020046） Spatial-temporal evolution of habitat quality and analysis of landscape patterns in Dabie Mountain area of west Anhui province based on InVEST model Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:新型城镇化及生态文明建设背景下，加强中国重要生态功能区的生境质量研究具有重要意义。以皖西大别山区舒城县为例，基于InVEST模型及地形位等方法进行生境质量时空演变与景观格局互动及梯度效应分析，结果表明：（1）1995-2015年，研究区生境质量指数从1995年的0.6392下降为2015年的0.6356，总体降幅不大；生境退化程度持续上升，由0.0133上升至0.0142。热点分析表明，生境质量较差的冷点区主要分布于东北部的城镇及其周边区域，质量较高的热点区主要位于西南部植被分布区；（2）生境质量及生境退化分布指数具有显著的地形位梯度效应。高生境质量分布指数与林地分布一致并随地形位梯度上升成主导优势，而低生境质量分布与建设用地和农地分布一致，并在低地形位梯度上占主导优势；（3）分区和整体生境质量与景观格局指数相关性显著，但不同区域内的二者之间相关性质各异。生境质量演化受地形和景观格局影响较大。研究结果对于大别山重要生态功能区的生境保护及生态系统功能调控具有一定的理论与实践价值。 Abstract:Under the background of new-type urbanization and ecological civilization construction, it is of great significance to strengthen the research on habitat quality of important ecological functional areas in China. Taking the Shucheng County of Dabie Mountain area in west Anhui province as an example, based on InVEST model and terrain gradient method, this study analyzes the spatial-temporal evolution of habitat quality and the interaction between landscape pattern and gradient effect. The results showed that: (1)In the past two decades, the habitat quality index of the study area was 0.6392 in 1995 and 0.6356 in 2015, respectively. The value of habitat quality showed decline trend from 1995 to 2015, but the degree of habitat degradation continued to rise from 0.0133 to 0.0142. Hot spot analysis showed that the cold spot areas with poor habitat quality were mainly located in the northeastern and its peripheral zone of the study area, which is mainly dominated by cities and towns, and the hot spot areas with high habitat quality were mainly located in the southwestern vegetation distribution region. (2)Habitat quality and habitat degradation distribution have significant topographic potential gradient effect. The distribution index of high habitat quality was consistent with that of forest land and became dominant along with the topographic gradient, while the distribution of low habitat quality was consistent with that of construction land and farmland and became dominant along the topographic gradient. (3)There was a significant correlation between habitat quality and landscape pattern indexes at overall region level and sub-region level, but the characteristics of correlation varied greatly among four levels. The evolution of habitat quality is greatly influenced by topography and landscape pattern. The results could have certain theoretical and practical value for habitat protection and functional regulation of ecosystem in west Anhui Dabie Mountain area, which is an important ecological function area in China. 参考文献 相似文献 引证文献

Analysis on the variation rule and influencing factors of energy consumption carbon emission intensity in China's urbanization construction

Abstract On the basis of literature review and current situation analysis, models were established to carryout scientific measurement for carbon emissions and its intensity in China in this paper. With full consideration to the actual situation of energy consumption growth and carbon emission intensity controlling of energy consumption in new-type urbanization construction, the Kaya model was revised. With population intensity of GDP production, urbanization rate, employment rate of urban population, per capita energy consumption of urban employed population and carbon emission density of energy consumption selected as independent variables, test models of multivariate linear correlation were established for new-type urbanization construction, energy consumption growth and carbon emission intensity controlling of energy consumption, and the empirical equilibrium equation and error correction equation were determined through stability test, lag order test and co-integration test. The results are shown as follows: the urban employment rate (UER) has the greatest impact on carbon emission intensity, the per capita urban employment energy consumption (PEC) has the least impact on carbon emission intensity, and the degree of other factors in proper order is: urbanization rate (UR), population intensity of GDP production (PG) and carbon emission density (CD).