期刊：
Journal for Nature Conservation,2022年68:126234 ISSN：1617-1381
通讯作者：
Yanwei Zhang<&wdkj&>Xinhai Lu
作者机构：
[Lu, Xinhai; Zhang, Maomao; Ren, Bing; Zhang, Yanwei] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.;[Lu, Xinhai] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Zou, Yucheng] Cent South Univ, Sch Business, Changsha 410083, Peoples R China.;[Lv, Tiangui] Jiangxi Univ Finance & Econ, Sch Tourism & Urban Management, Nanchang 330013, Peoples R China.
通讯机构：
[Yanwei Zhang; Xinhai Lu] C;College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China<&wdkj&>College of Public Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
关键词：
Arable land protection cooperation;Configuration analysis;Fuzzy set qualitative comparative analysis (fsQCA);Perceived benefits;Policy incentives
作者：
Yang Qingke;Wang Lei;Li Yongle;Fan Yeting;Liu Chao
期刊：
地理学报：英文版,2022年32(12):2453-2474 ISSN：1009-637X
通讯作者：
Chao Liu
作者机构：
[Fan Yeting; Li Yongle; Yang Qingke] Nanjing Univ Finance & Econ, Sch Publ Adm, Nanjing 210023, Peoples R China.;[Fan Yeting; Yang Qingke] Minist Nat Resources, Key Lab Coastal Zone Exploitat & Protect, Nanjing 210017, Peoples R China.;[Wang Lei] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China.;[Liu Chao] Cent China Normal Univ, Coll Publ Adm, Fac Polit Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Chao Liu] F;Faculty of Political Science, College of Public Administration, Central China Normal University, Wuhan, China
关键词：
urban land development intensity;spatiotemporal differentiation;influence mechanism;economic transition;Yangtze River Delta
摘要：
Over the past 20 years, China has experienced multiple economic transitions characterized by marketization, globalization, decentralization, and urbanization; as a result, urban land development intensity (ULDI) has become a significant issue for sustainable development. As China’s largest globalized urban area, the rapid socio-economic development of the Yangtze River Delta has created a huge demand for urban land. We apply a theoretical framework for a four-dimensional analysis tool to understand the dynamic evolution of the ULDI in the context of economic transition. It reveals that marketization, globalization, decentralization, and urbanization affect the ULDI in the economic transition of Yangtze River Delta. Marketization, especially the continuous improvement of land marketization, optimizes the spatial allocation of land resources and encourages urban land users to improve ULDI. Globalization promotes the rapid growth of economy and population through an increase in foreign direct investment. In the process of decentralization, local governments rely on developing a mode of land finance, resulting in a disordered urban space and low ULDI. Population growth and agglomeration during urbanization stimulates residents’ consumption capacity and promotes economic growth, thus creating a greater demand for urban land. However, a low level of development and utilization restricts the improvement of development intensity. Economic development can improve the level of land-intensive use by promoting the adjustment, optimization, and upgrade of urban industrial structures.
期刊：
International Journal of Environmental Research and Public Health,2022年19(16):9844- ISSN：1661-7827
通讯作者：
Xiangyu Fan
作者机构：
[Liu, Jinjin; Kuang, Bing] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Liu, Jinjin; Kuang, Bing] Cent China Normal Univ, Inst Nat Resources Governance, Wuhan 430079, Peoples R China.;[Fan, Xiangyu] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.
通讯机构：
[Xiangyu Fan] C;College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
low-carbon city pilot;the green utilization efficiency of urban land;propensity score matching difference-in-differences method;policy evaluation
摘要：
China has implemented the low-carbon city pilot (LCCP) policy in the hopes of efficiently limiting carbon emission intensity to combat global warming and promote green economic growth. Urban land utilization, the second-largest source of carbon emissions, is key to the LCCP policy being able to have the desired effect, which has attracted widespread attention. Based on the panel data from prefecture-level cities in China from 2006 to 2019, this study used the propensity score matching difference-in-differences method (PSM-DID) to examine the impacts of LCCP policy on green utilization efficiency of urban land (GUEUL). The results reveal that LCCP policy has a beneficial impact on GUEUL and can effectively boost the future possibilities of green and low-carbon city development. Due to variances in regional economic and resource endowment level, the impacts of LCCP are different. The pilot has pushed GUEUL in the eastern region, western region, and growing resource-based cities, but has failed to improve GUEUL in other regions. Policymakers should adhere to the long-term sustainability of the LCCP policy and adopt differentiated action strategies to promote GUEUL when implementing it in different regions.
作者机构：
[Lu, Xinhai; Wu, Yueqi; Cui, Haiying; Ke, Shangan] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Lu, Xinhai] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.;[Ge, Kun] Jiangxi Normal Univ, Coll City Construct, Nanchang 330022, Jiangxi, Peoples R China.;[Ge, Kun] Jiangxi Normal Univ, Inst Real Estate, Nanchang 330022, Jiangxi, Peoples R China.;[Chen, Danling] Huazhong Agr Univ, Sch Publ Adm, Wuhan 430070, Peoples R China.
通讯机构：
[Cui, Haiying] C;[Ge, Kun] J;Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;Jiangxi Normal Univ, Coll City Construct, Nanchang 330022, Jiangxi, Peoples R China.;Jiangxi Normal Univ, Inst Real Estate, Nanchang 330022, Jiangxi, Peoples R China.
关键词：
temporal-spatial pattern;the green transition of farmland use;coupling coordination;Hubei Province
摘要：
The green transition of farmland use is a future trend in China’s modern agriculture and green development. However, its research framework, including its evaluation system, temporal-spatial distribution, and driving mechanisms, has not been established in the existent literature. With the 17 cities in Hubei Province as an example, we evaluated the green transition of farmland use and explore the characteristics and driving mechanisms of the temporal and spatial evolution from 2000–2019. The findings were as follows: First, the green transition of farmland use in Hubei Province is in infancy, but it has great potential. Second, the growth rate of the green transition of farmland use has noticeable regional differences in the east, central, and western areas of the province. Third, the three dimensions of spatial transition, functional transition, and model transition in the green transition of farmland use have significant spatial differences in coupling and coordination, and decoupling is becoming increasingly prominent. Based on the research findings, we put forward targeted countermeasures and suggestions.
摘要：
Chinese cities have experienced unprecedented growth in the past few decades. In this context, the rapid rise of housing prices in Chinese cities makes the affordability of homeownership one of the biggest challenges related to people's livelihood. As a forming part of public housing, affordable housing in China mainly targets medium and low-income urban residents who cannot afford commodity housing. The spatial site selection and layout of affordable housing, which becomes a challenge for urban planners and policymakers, is potentially related to a spatial differentiation and the spread of poverty. In this study, we propose a conceptual model of spatially subsidized benefits (SSBs) of affordable housing by combining affordable housing prices and ordinary commodity housing prices in the same or adjacent location in the city. Moreover, by integrating the multiple digital elevation models (DEMs) with geographic information systems, we design a prototype for the spatial decision support system of affordable housing, which takes into account the cost of land for government, public transport facilities, residents' spatial demand, and the prevention of spatial differentiation. Using the case of Wuhan (China), we simulate the spatial layout of the SSBs of affordable housing in the city under multiple hypothetical scenarios. Our results show that SSBs display clear hierarchical characteristics under different scenarios. The findings indicate that the quantitative spatial decision method based on SSBs can provide effective technical support for Chinese urban planners or policymakers to realize a scientific layout of affordable housing under different scenarios, avoiding the risk of spatially differentiating low-income residents. Further, it also provides some insights into the innovative application of multiple DEMs in urban planning.
作者机构：
[Lu, Xinhai; Wang, Hongzheng; Tang, Yifeng; Zhang, Xupeng] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.;[Lu, Xinhai] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Yi, Jialin] Nanjing Agr Univ, Coll Land Management, Nanjing 210095, Peoples R China.;[Zheng, Weibo] Colorado State Univ, Dept Human Dimens Nat Resources, Ft Collins, CO 80523 USA.
通讯机构：
[Xinhai Lu; Xupeng Zhang] C;College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China<&wdkj&>College of Public Administration, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
关键词：
Farmland use transition;Grain production;Topographical constraints;Spatial spillover effect;Hubei province
通讯机构：
[Yanwei Zhang] C;College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430074, China
关键词：
Sustainable land use;United Nations 2030 sustainable development goals;Real coded accelerating genetic algorithm-projection pursuit techniques;Exploratory spatial data analysis model;Spatiotemporal transitions;China
摘要：
Based on UN 2030 Sustainable Development Goals (SDGs), this study selects 43 indicators from three dimensions to construct an evaluation index system for sustainable land use (SLU). Thirty provincial administrative regions in China from 2002 to 2018 are chosen to comprise the study area. Real-coded accelerating genetic algorithm-projection pursuit techniques and an exploratory spatial data analysis model are used to study the spatiotemporal differences in the SLU levels of the provinces in China. Results show the following: (1) During the study period, the SLU level in China demonstrated an overall upward trend of fluctuations, along with obvious regional differences. (2) The spatial pattern of the SLU level in China was high in the eastern region and low in the western region in the east-west direction; for the north-south direction, an inverted U-shaped distribution was noted. (3) The main types of local spatial autocorrelation are H-H and L-L types, and both have evident spatial clustering characteristics. (4) The realization of Goal A is the main driving force for the improvement of the SLU level, whereas the failure to realize Goals B and C effectively is the main bottleneck in the improvement of the SLU level.
摘要：
The Chinese government has attached great importance to environmental collaborative governance recently to cope with rising pollution problems. How to measure environmental collaborative governance degree is a key issue to evaluate the level and progress of the implementation of this great ambition. This paper designs an index system for measuring environmental collaborative governance degree, covering dimensions of government, corporation and the public. The entropy method is applied to measure the change of environmental governance capacity The coupling coordination model is adapted to evaluate the environmental collaborative governance degree of government-corporation-public. Empirical analysis is conducted by using the panel data of 30 provinces of China for the years 2006-2015. The results are provided and discussed from various dimensions Suggestions are put forward accordingly. This paper focuses on developing a method for measuring environmental collaborative governance degree and is meaningful for enlightening future research about the effect of collaboration on environmental governance.
作者机构：
[Lu, Xinhai; Chen, Danling] Huazhong Univ Sci & Technol, Dept Land Management, Coll Publ Adm, Wuhan 430074, Peoples R China.;[Lu, Xinhai] Cent China Normal Univ, Dept Land Management, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Wang, Yue] Zhongnan Univ Econ & Law, Dept Land Management, Coll Publ Adm, Wuhan 430073, Peoples R China.
通讯机构：
[Chen, Danling] H;[Wang, Yue] Z;Huazhong Univ Sci & Technol, Dept Land Management, Coll Publ Adm, Wuhan 430074, Peoples R China.;Zhongnan Univ Econ & Law, Dept Land Management, Coll Publ Adm, Wuhan 430073, Peoples R China.
关键词：
urban sprawl;quality of economic growth;decoupling;spatial correlation;sustainable development
摘要：
This paper investigates how urban sprawl and the quality of economic growth interact and further studies the spatial-temporal decoupling characteristics of both. To achieve this, a framework was developed to better explain both the different dimensional effects urban sprawl exerts on the quality of economic growth and their reverse feedback relation. A sample of 285 Chinese cities (2003 to 2016) were analyzed, employing both a decoupling model and spatial correlation analysis. The findings indicated that urban sprawl and the quality of economic growth are related via scale, structure, technological efficiency, and technological progress effects. In practice, with increasing quality of economic growth, the urban sprawl index decreases at the national level. At prefecture-city level, the types of decoupling between urban sprawl and the quality of economic growth showed clear periodical and unbalanced characteristics. Furthermore, decoupling showed a significant agglomeration effect in Chinese cities, which is mainly mediated by the types High-High and Low-Low. This study provides a significant contribution to the relevant acknowledge system by providing a comprehensive theoretical framework toward an understanding of how urban expansion interacts with the quality of economic growth. Furthermore, their decoupling types and spatial differences that are critical for the urban sustainable development have been identified, thus providing several important insights for both academics and urban policy makers.
关键词：
Land use change;Cropland displacement;Potential crop production;Land use policy;Food security
摘要：
Changes in the amount and location of cropland areas may affect the potential crop production at different spatial scales. However, most studies ignore the impacts of cropland displacement on potential crop production. In many countries, cropland protection policies mainly aim for no loss in cropland area, while there is no restriction on change of cropland location. Taking China as the study area, we analyze the impacts of cropland displacement on potential crop production at four administrative levels during the period 2000 and 2018. At the national level, we find a net decrease in cropland area of 0.81 Mha, while another 19.63 Mha was displaced. The former led to a decrease of 4.20 Mton in potential crop production, while the latter resulted in a decrease of 43.26 Mton as a result of lower quality of the newly cultivated lands. In other words, cropland displacement explains 91% of the total loss in potential crop production at the national scale. However, the contribution of cropland displacement to total change in potential crop production is increasingly smaller at provincial level, municipal level, and county levels. These findings highlight the importance of geographic location on crop production and suggest that cropland policies should consider geographic location in addition to cropland area.
作者：
Luo Xiang;Ao Xinhe;Zhang Zuo;Wan Qing*;Liu Xingjian
期刊：
地理学报：英文版,2020年30(4):535-552 ISSN：1009-637X
通讯作者：
Wan Qing
作者机构：
[Zhang Zuo; Ao Xinhe; Luo Xiang] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Wan Qing] Wuhan Inst Technol, Sch Management, Wuhan 430205, Peoples R China.;[Liu Xingjian] Univ Hong Kong, Dept Urban Planning & Design, Hong Kong 999077, Peoples R China.
关键词：
Yangtze River Economic Belt;carbon emissions;cultivated land use efficiency;Tobit model
摘要：
In this study, the carbon emissions (CEs) from cultivated land (CL) were included as an undesirable output in the utilization efficiency of such land. A slack-based model was used to calculate the CL use efficiency (CLUE) for 11 provinces and cities in the Yangtze River Economic Belt (YREB) from 2007 to 2016, and then a kernel density estimation map was drawn to analyze the spatiotemporal variations of CLUE. The Tobit model was also employed to analyze the factors affecting the CLUE. The results show the following. 1) In the YREB, the CEs from CL showed a rising and then a slowly decreasing trend. In this paper, we calculate CEs by carbon emission factors and major carbon sources, and the CEs from CL in the YREB totaled 25.2354 million tons in 2007. By 2014, the value had increased gradually to 28.4400 million tons, and by 2016 it had declined to 27.8922 million tons, suggesting that the carbon-emission reduction measures of the government had an impact. 2) The CLUE of various provinces and cities in the YREB showed an upward trend in the time dimension, while for the spatial dimension, the kernel density was high in the east and low in the west, and the areas with high kernel density were mainly located in the Yangtze River Delta. 3) The per capita gross domestic product, the primary industrial output, and the number of agricultural technicians per 10,000 people had positive effects on the CLUE. The CL area per capita and the electrical power per hectare for agricultural machinery had significant negative impacts on CLUE. In addition, every 1% increase in the number of agricultural technicians increased the CLUE by 0.057%.
