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The past decades were witnessing unprecedented habitat degradation across the globe. It thus is of great significance to investigate the impacts of land use change on habitat quality in the context of rapid urbanization, particularly in developing countries. However, rare studies were conducted to predict the spatiotemporal distribution of habitat quality under multiple future land use scenarios. In this paper, we established a framework by coupling the future land use simulation (FLUS) model with the Intergrated Valuation of Environmental Services and Tradeoffs (InVEST) model. We then analyzed the habitat quality change in Dongying City in 2030 under four scenarios: business as usual (BAU), fast cultivated land expansion scenario (FCLE), ecological security scenario (ES) and sustainable development scenario (SD). We found that the land use change in Dongying City, driven by urbanization and agricultural reclamation, was mainly characterized by the transfer of cultivated land, construction land and unused land; the area of unused land was significantly reduced. While the habitat quality in Dongying City showed a degradative trend from 2009 to 2017, it will be improved from 2017 to 2030 under four scenarios. The high-quality habitat will be mainly distributed in the Yellow River Estuary and coastal areas, and the areas with low-quality habitat will be concentrated in the central and southern regions. Multi-scenario analysis shows that the SD will have the highest habitat quality, while the BAU scenario will have the lowest. It is interesting that the ES scenario fails to have the highest capacity to protect habitat quality, which may be related to the excessive saline alkali land. Appropriate reclamation of the unused land is conducive to cultivated land protection and food security, but also improving the habitat quality and giving play to the versatility and multidimensional value of the agricultural landscape. This shows that the SD of comprehensive coordination of urban development, agricultural development and ecological protection is an effective way to maintain the habitat quality and biodiversity.
Qinglong Ding; Yang Chen; Lingtong Bu; Yanmei Ye. Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model. International Journal of Environmental Research and Public Health 2021, 18, 2389 .
AMA StyleQinglong Ding, Yang Chen, Lingtong Bu, Yanmei Ye. Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model. International Journal of Environmental Research and Public Health. 2021; 18 (5):2389.
Chicago/Turabian StyleQinglong Ding; Yang Chen; Lingtong Bu; Yanmei Ye. 2021. "Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model." International Journal of Environmental Research and Public Health 18, no. 5: 2389.
Improving industrial land use efficiency is of great significance for sustainable industrial development. This paper measures the industrial land use efficiency (ILUE) in China, and explores its spatial-temporal characteristics and influencing factors by using a stochastic frontier analysis (SFA) method. A translog SFA model that characterizes the relationship between industrial land productivity and land input level is established to estimate the efficiency. The estimation results of the SFA model and related tests both show that the stochastic frontier method for ILUE measurement is suitable, and the contribution rate of technical inefficiency term to the mixed error reaches 66.9%. ILUE levels in China show an increasing trend from 2004 to 2017. The average efficiency in the east is the highest. ILUE in the west gradually surpassed that in the northeast in recent years. Reduction of the inter-group difference greatly contributed to the decrease in overall difference, but it is still the main source of overall difference. Results of the inefficiency function show that enterprise ownership structure produces negative impact on ILUE. The specialization of high-tech manufacturing industry, urbanization level and transportation condition have positive influence on ILUE, while the specialization of the chemical and rubber industry and the local financial pressure exert negative effects. Based on these, some policy recommendations for ILUE improvement are further proposed.
Shu-Chang Liu; Yao-Ben Lin; Yan-Mei Ye; Wu Xiao. Spatial-temporal characteristics of industrial land use efficiency in provincial China based on a stochastic frontier production function approach. Journal of Cleaner Production 2021, 295, 126432 .
AMA StyleShu-Chang Liu, Yao-Ben Lin, Yan-Mei Ye, Wu Xiao. Spatial-temporal characteristics of industrial land use efficiency in provincial China based on a stochastic frontier production function approach. Journal of Cleaner Production. 2021; 295 ():126432.
Chicago/Turabian StyleShu-Chang Liu; Yao-Ben Lin; Yan-Mei Ye; Wu Xiao. 2021. "Spatial-temporal characteristics of industrial land use efficiency in provincial China based on a stochastic frontier production function approach." Journal of Cleaner Production 295, no. : 126432.
With economic growth facing increasing constraints of resource and environment, intensive land use becomes one of the effective ways to promote urban sustainable development. This paper aims to reveal the spatial and temporal differences in urban land use efficiency (ULUE) in provincial China, and examine the impact of undesirable output (e.g., industrial pollutant emissions) on ULUE using a one-stage stochastic frontier analysis (SFA). Furthermore, we analyze the improvement potential of ULUE. Results show that 1) ULUE in China is relatively low, and it shows a trend of slow growth at an annual growth rate of 0.34 %. 2) Undesirable output causes a loss of ULUE. The loss ratio in the western region is the highest (9.61 %), followed by the central region (8.41 %) and the eastern region (3.93 %). Estimation results of the technical inefficiency function also show that pollution intensity has a negative effect on ULUE. 3) ULUE varies significantly across the country. The mean efficiency values in the eastern, central, and western regions are 0.733, 0.535, and 0.507, respectively. ULUE levels in different provinces present a greater gap when undesirable output is considered. 4) The improvement potential analysis indicates a mismatch between the ULUE and the improvement potential. Areas with low efficiency does not necessarily have relatively high improvement potential (e.g., Ningxia and Xinjiang), or areas with relatively high efficiency may also have high improvement potential (e.g., Fujian and Shandong). Based on the difference in ULUE level and its improvement potential, targeted policy suggestions for ULUE improvement are further proposed.
Shuchang Liu; Wu Xiao; Linlin Li; Yanmei Ye; Xiaoli Song. Urban land use efficiency and improvement potential in China: A stochastic frontier analysis. Land Use Policy 2020, 99, 105046 .
AMA StyleShuchang Liu, Wu Xiao, Linlin Li, Yanmei Ye, Xiaoli Song. Urban land use efficiency and improvement potential in China: A stochastic frontier analysis. Land Use Policy. 2020; 99 ():105046.
Chicago/Turabian StyleShuchang Liu; Wu Xiao; Linlin Li; Yanmei Ye; Xiaoli Song. 2020. "Urban land use efficiency and improvement potential in China: A stochastic frontier analysis." Land Use Policy 99, no. : 105046.
Soil fungi have been widely studied, but the effects of heavy metal contamination at various levels as well as the abundance and diversity of heavy metal tolerant fungi in the contaminated paddy soils are still unknown. The purpose of this study is to analyze the adaptability of fungi at different levels of heavy metal contamination to identify species that have strong adaptability to heavy metals. In this research, the technology of high-throughput sequencing was applied to study fungal communities in severe level (SL), moderate level (ML), light level (LL), and clean level (CL) for soil samples polluted by heavy metal, as well as to analyze the relations between environmental variables and fungal communities. The spearman analysis showed that 6 dominant fungal phyla and 18 dominant fungal genera were significantly correlated with these environmental variables. The α-diversity indexes of the soil fungal community from SL, ML, and CL were, mostly, drastically higher than the LL samples (p < 0.05). Meanwhile, Ascomycota, the main fungal phylum, was spotted to yield a strong tolerance towards heavy metals, especially in ML. The most dominant genera of tolerant fungi in this area, which are Aspergillus, Penicillium, and Fusarium, could absorb and transport the heavy metals with the help of nutrients under certain heavy metal contamination levels. Therefore, this study indicated that some fungi, which have strong biodegradability on heavy metals, can reduce toxicity of heavy metals and create a proper soil environment to grow food crops. Graphical abstract
Yaoben Lin; Wu Xiao; Yanmei Ye; Cifang Wu; Yiming Hu; Haokun Shi. Adaptation of soil fungi to heavy metal contamination in paddy fields—a case study in eastern China. Environmental Science and Pollution Research 2020, 27, 27819 -27830.
AMA StyleYaoben Lin, Wu Xiao, Yanmei Ye, Cifang Wu, Yiming Hu, Haokun Shi. Adaptation of soil fungi to heavy metal contamination in paddy fields—a case study in eastern China. Environmental Science and Pollution Research. 2020; 27 (22):27819-27830.
Chicago/Turabian StyleYaoben Lin; Wu Xiao; Yanmei Ye; Cifang Wu; Yiming Hu; Haokun Shi. 2020. "Adaptation of soil fungi to heavy metal contamination in paddy fields—a case study in eastern China." Environmental Science and Pollution Research 27, no. 22: 27819-27830.
There is a growing recognition that optimizing urban form can reduce road transport-related carbon emissions, particularly in carbon emissions by daily travel. In this study, we proposed an improved bottom-up approach combining Vehicle Specific Power (VSP) model and Enhanced Two-Step Floating Catchment Area (E2SFCA) method to estimate the carbon emissions by daily travel. Then, a geographical weighted regression (GWR) model considering the urban residential density (RD) and land use mix level (LML) of urban form as independent variables was employed to explore the relationship between urban form and carbon emissions. A typical working day (June 5th of 2017) of Hangzhou was chosen as a case study in this paper. The results showed that (1) per hour carbon emission in the morning peak period of 6:30 a.m.-9:30 a.m. was higher than that in the evening peak of 22:00–24:00 by 33.34%; and distribution of the highest carbon emissions was in the eastern, northeastern and northwestern parts of Hangzhou; (2) The RD and LML were positively and negatively associated with carbon emissions. and the coefficients for Ln (RD) and (LML) ranged from 0.29 to 0.70 and from −9.01 to −6.06, respectively. (3) The spatial distribution of coefficients demonstrated that the highest effects of RD on carbon emissions were observed in the central parts of Hangzhou, and those of LML on carbon emissions were observed in southern Hangzhou featured by industrial parks. This study may provide insights to mitigate carbon emissions from daily travel with multiple public policies including mixed land-use policies, urban density control and spatial planning.
Chuyu Xia; Mingtao Xiang; Kai Fang; Yan Li; Yanmei Ye; Zhou Shi; Jingming Liu. Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China. Journal of Cleaner Production 2020, 257, 120797 .
AMA StyleChuyu Xia, Mingtao Xiang, Kai Fang, Yan Li, Yanmei Ye, Zhou Shi, Jingming Liu. Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China. Journal of Cleaner Production. 2020; 257 ():120797.
Chicago/Turabian StyleChuyu Xia; Mingtao Xiang; Kai Fang; Yan Li; Yanmei Ye; Zhou Shi; Jingming Liu. 2020. "Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China." Journal of Cleaner Production 257, no. : 120797.
Soil microbial communities are greatly affected by human disturbance and soil physicochemical properties. Land consolidation is an important technology for sustainable agricultural development. However, there are few studies on how land consolidation affects the diversity and structure of soil microbial communities. To understand how land consolidation induced variations in bacterial and fungal communities in soil, we applied a high-throughput sequencing approach of 16S rRNA gene so as to get the information on microbial communities in 20 paddy fields of J County, China. The results showed the huge impact of land consolidation for bacteria as well as fungi, along with the richness and diversity of species critically higher in fields of land consolidation than those not. As for the bacterial communities in fields of land consolidation, the functional diversity of them was also significantly higher, especially nitrogen cycling. The results also showed that the microbial richness and diversity increased in the paddy fields under land consolidation practices of building ditches and applying organic fertilizer compared to others. Interestingly, the relative abundances of heavy-metal tolerant bacteria (Geobacter, Thiobacillus) and fungi (Aspergillus) were increased in the soils from land consolidation areas, which were beneficial microorganisms that could contribute to reduce heavy metal contamination and provide a suitable environment for the growth of plants. Therefore, we concluded that land consolidation could be considered as a viable strategy to improve soil microbial richness and diversity, as well as to increase the abundance of beneficial microorganisms. These findings enhanced our understanding of the importance of land consolidation for increasing the soil microbial diversity and improving soil quality.
Yaoben Lin; Yanmei Ye; Cifang Wu; Yiming Hu; Haokun Shi. Changes in microbial community structure under land consolidation in paddy soils: A case study in eastern China. Ecological Engineering 2020, 145, 105696 .
AMA StyleYaoben Lin, Yanmei Ye, Cifang Wu, Yiming Hu, Haokun Shi. Changes in microbial community structure under land consolidation in paddy soils: A case study in eastern China. Ecological Engineering. 2020; 145 ():105696.
Chicago/Turabian StyleYaoben Lin; Yanmei Ye; Cifang Wu; Yiming Hu; Haokun Shi. 2020. "Changes in microbial community structure under land consolidation in paddy soils: A case study in eastern China." Ecological Engineering 145, no. : 105696.
This paper empirically examines the factors which influence the behavior of farmers who participate in land consolidation, specifically in land reallocation. Based on the integrative Motivation–Opportunity–Ability (MOA) model, we assume that farmers` participation levels in land reallocation are not only determined by motivation, but also significantly influenced by their opportunity and ability to participate. We test our hypotheses with the method of structural equation modelling (SEM), and collect data through questionnaires from a random sample of households in 6 villages (4 different projects) in China. This is complemented by interviews with local cadres and some of the farmers in those villages in order to validate the consistency of questionnaire responses. The key finding is that the opportunity and the ability to participate have significant positive influences on the degree to which farmers participate, of which ability is the more influential construct. The scrutiny of the model results combined with the interviews also leads to the conclusion that allowing self-organization of farmers leads to more effective land reallocation. Based on the results, we suggest that governments should take measures including legislation, social marketing and education to clarify the legality of land reallocation and facilitate the self-organization of farmers and eventually promoting land reallocation.
Xiaobin Zhang; Walter Timo de Vries; Guan Li; Yanmei Ye; Hongyu Zheng; Mengran Wang. A behavioral analysis of farmers during land reallocation processes of land consolidation in China: Insights from Guangxi and Shandong provinces. Land Use Policy 2019, 89, 104230 .
AMA StyleXiaobin Zhang, Walter Timo de Vries, Guan Li, Yanmei Ye, Hongyu Zheng, Mengran Wang. A behavioral analysis of farmers during land reallocation processes of land consolidation in China: Insights from Guangxi and Shandong provinces. Land Use Policy. 2019; 89 ():104230.
Chicago/Turabian StyleXiaobin Zhang; Walter Timo de Vries; Guan Li; Yanmei Ye; Hongyu Zheng; Mengran Wang. 2019. "A behavioral analysis of farmers during land reallocation processes of land consolidation in China: Insights from Guangxi and Shandong provinces." Land Use Policy 89, no. : 104230.
Soil quality assessment is an important means to demonstrate how effective land consolidation is. However, the existing assessment system is not sufficient to reflect actual soil quality. So, the purpose of this study is to integrate abiological and biological indicators into a comprehensive assessment to evaluate the paddy soil quality under different land consolidation practices. Soil samples were collected from 35 paddy sites under different land consolidation practices including land merging, land leveling (LL), ditch construction (DC) and application of organic fertilizer (AO). A total of 10 paddy sites were selected under conventional tillage (CT) from non-land consolidation area as a control group in Y county, China. The results indicated that soil organic matter (OM), total nitrogen (TN), available phosphorus, bacterial functional diversity (BFD), bacterial and fungal abundances were significantly improved. Fields under LL, among all the land consolidation practices, might still face the risk of land degradation caused by low TN, OM and microbial diversity. High microbial biomass, BFD and OM were significantly higher in fields under AO in nutrient cycle. According to the results of comprehensive assessment, the samples with severe heavy metal contamination and low microbial diversity were generally concentrated in CT. These results indicated that land consolidation was an efficient technique to improve soil quality and could achieve higher quality of agricultural products.
Yaoben Lin; Yanmei Ye; Cifang Wu; Jianhui Yang; Yiming Hu; Haokun Shi. Comprehensive assessment of paddy soil quality under land consolidation: a novel perspective of microbiology. PeerJ 2019, 7, e7351 .
AMA StyleYaoben Lin, Yanmei Ye, Cifang Wu, Jianhui Yang, Yiming Hu, Haokun Shi. Comprehensive assessment of paddy soil quality under land consolidation: a novel perspective of microbiology. PeerJ. 2019; 7 ():e7351.
Chicago/Turabian StyleYaoben Lin; Yanmei Ye; Cifang Wu; Jianhui Yang; Yiming Hu; Haokun Shi. 2019. "Comprehensive assessment of paddy soil quality under land consolidation: a novel perspective of microbiology." PeerJ 7, no. : e7351.
As a global pollution problem, heavy metal contamination poses a serious hazard to soil microorganisms which play an extremely important role in soil chemical cycling and ecological persistence. However, the effects that different levels of heavy metal contamination in soils have on microorganisms and the interactions between them are still unclear. The purpose of this research is to analyze the microbial structure under different levels of heavy metal contamination, find out heavy metal tolerant species under different environmental conditions, then provide useful reference for the bioremediation of contaminated farmland. In this study, 16s rRNA high-throughput sequencing technology was used to investigate the microbial communities in severe level (SL), moderate level (ML), light level (LL) and clean level (CL) of heavy metal contaminated soils, and the relationships between environment variables and microorganisms were analyzed. The results showed that the concentrations of heavy metals and soil physicochemical properties had various impacts on microbial community composition under different heavy metal contamination levels. Most dominant bacteria were in significant negative correlation with Cd in ML region, and significantly correlated with TN and OM in LL region. However, there was no significant correlation between dominant fungi and the physicochemical properties in LL region. And most of the dominant fungi were significantly correlated with the heavy metal concentrations in SL region. The bacterial phyla such as Proteobacteria, Acidobacteria and Bacteroidetes showed more tolerance with heavy metal contamination in SL, ML and LL regions, respectively. Meanwhile, the dominant fungi of Ascomycota, Basidiomycota, Chytridiomycota, Glomeromycota, Zygomycota and Rozellomycota showed stronger correlations with heavy metal contamination in SL and LL regions. These results indicated that some microorganisms had strong tolerance to heavy metal contamination and had certain heavy metals digestion ability, which can create an appropriate soil environment for the growth of food crops.
Yaoben Lin; Yanmei Ye; Yiming Hu; Haokun Shi. The variation in microbial community structure under different heavy metal contamination levels in paddy soils. Ecotoxicology and Environmental Safety 2019, 180, 557 -564.
AMA StyleYaoben Lin, Yanmei Ye, Yiming Hu, Haokun Shi. The variation in microbial community structure under different heavy metal contamination levels in paddy soils. Ecotoxicology and Environmental Safety. 2019; 180 ():557-564.
Chicago/Turabian StyleYaoben Lin; Yanmei Ye; Yiming Hu; Haokun Shi. 2019. "The variation in microbial community structure under different heavy metal contamination levels in paddy soils." Ecotoxicology and Environmental Safety 180, no. : 557-564.
Rapid urbanization with land use and cover change (LUCC) is making a substantially increasing contribution to global carbon emissions. Understanding the spatial processes and transitions mechanism of urban carbon metabolism system by LUCC could help local governments in regional spatial planning. Taking 13 cities in the Yangtze River Delta of China as examples, we quantitatively analyzed and mapped the spatial processes of urban carbon metabolism by LUCC from 1995 to 2015 in the region and investigated the relationships between urban size growth and urban carbon metabolism rate by LUCC (MLUCC) using panel data regression analysis. A higher MLUCC showed a larger negative impact on the urban carbon metabolism system by per unit area of land use change. We found that the highest negative carbon transitions were shifted from Shanghai to cities in the South Jiangsu Province. And the dominant negative carbon transitions and positive ones came from land use transfer into and out the industrial land and transportation land. The results of the panel model regression analysis showed the growths of urban population and land both correlated positively with MLUCC. Further, we controlled the economic growth and urban form changes on the relationship between urban size growth and MLUCC, and the results suggested both the benefits from compromising economic growth and optimizing urban form were overshadowed by the negative impact of urban size growth. The study provided a robust methodology for assessing urban carbon metabolism and provided new insights into land use controls to develop low carbon cities.
Chuyu Xia; Yan Li; Tingbao Xu; Qiuxiao Chen; Yanmei Ye; Zhou Shi; Jingming Liu; Qinglong Ding; Xiaoshun Li. Analyzing spatial patterns of urban carbon metabolism and its response to change of urban size: A case of the Yangtze River Delta, China. Ecological Indicators 2019, 104, 615 -625.
AMA StyleChuyu Xia, Yan Li, Tingbao Xu, Qiuxiao Chen, Yanmei Ye, Zhou Shi, Jingming Liu, Qinglong Ding, Xiaoshun Li. Analyzing spatial patterns of urban carbon metabolism and its response to change of urban size: A case of the Yangtze River Delta, China. Ecological Indicators. 2019; 104 ():615-625.
Chicago/Turabian StyleChuyu Xia; Yan Li; Tingbao Xu; Qiuxiao Chen; Yanmei Ye; Zhou Shi; Jingming Liu; Qinglong Ding; Xiaoshun Li. 2019. "Analyzing spatial patterns of urban carbon metabolism and its response to change of urban size: A case of the Yangtze River Delta, China." Ecological Indicators 104, no. : 615-625.
Water can carry or overturn a boat. Natural resources form the foundation of human survival and development. However, land use change caused by human urban civilization has damaged the natural environment and in turn threatened the continuation of human civilization. Accordingly, it is crucial to analyze the impacts of human activities on land use change and consequent dynamics of ecosystem service value (ESV). For the sustainable development of human beings, an investigation should be conducted to explore what type of land use behavior will be considerably beneficial to improve our relationship with the natural environment. This study analyzes the spatial–temporal dynamics of ESV of 148 counties in the Yangtze River Delta in China over three five-year periods (2000–2015) and examines the influence of socioeconomic forces and policy implications. Exploratory spatial data analysis and spatial regression were applied to facilitate the analysis. Results show that the averages of the ESV change ratios of the 148 counties in each of the aforementioned periods are −0.667%, −2.690%, and −4.668%, respectively. The number of counties that showed an ESV loss trend in the three periods are 72 (48.6%), 125 (84.4%), and 139 (93.9%), respectively. In terms of spatial pattern, ESV change demonstrates the spatial distribution characteristic of “high loss spreading from the northeast to the middle and west” with a tendency to strengthen spatial agglomeration. Results of the spatial regression analysis determine the overwhelming importance of population growth and economic advancement. The results also indicate that the development mode characterized by industrial structure, capital input, and technology upgrades can exert considerable influence on socioeconomic development, thereby affecting the change of ESV. Moreover, the constraints of policy substantially affect the changes of ESV from 2010 to 2015. Policy makers should consider the relationship between land use patterns and the ESV variation in different development stages to formulate appropriate measures, thereby reducing or preventing the loss of ecological service value and promoting sustainable development.
Sha Chen; Guan Li; Zhongguo Xu; Yuefei Zhuo; Cifang Wu; Yanmei Ye. Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China. Sustainability 2019, 11, 2622 .
AMA StyleSha Chen, Guan Li, Zhongguo Xu, Yuefei Zhuo, Cifang Wu, Yanmei Ye. Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China. Sustainability. 2019; 11 (9):2622.
Chicago/Turabian StyleSha Chen; Guan Li; Zhongguo Xu; Yuefei Zhuo; Cifang Wu; Yanmei Ye. 2019. "Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China." Sustainability 11, no. 9: 2622.
Rapid urban expansion may cause a decline in land-use efficiency and result in a series of social and ecological problems. Economic transition has significantly influenced urban land development, and provides a good perspective for analyzing changes in land-use efficiency. This paper primarily discusses the theoretical influence of economic transition on urban land-use efficiency. Using 126 cities in the Yangtze River Economic Zone as examples, we explore the spatial–temporal characteristics of changes in land-use efficiency, and estimate the relationship between land-use efficiency and economic transition with econometric models. The results show that the land-use efficiency of the Yangtze River Economic Zone has generally been improved over time, and presented significant clustering effects around urban agglomerations. Panel data analysis suggests that foreign direct investment in the globalization process and tax burdens, which were further aggravated by the reform of the responsibility and revenue assignment between local and central government, have had a significant negative effect on land-use efficiency. On the contrary, marketization, urbanization, and fiscal expenditure decentralization have exerted significant positive effects. We also found that agglomeration effects and location advantages did play a positive role in improving land-use efficiency, which accounted for the spatial inequality. This paper concludes with policy proposals to improve the intensification and economization level of urban land use.
Shuchang Liu; Yanmei Ye; Linlin Li. Spatial–Temporal Analysis of Urban Land-Use Efficiency: An Analytical Framework in Terms of Economic Transition and Spatiality. Sustainability 2019, 11, 1839 .
AMA StyleShuchang Liu, Yanmei Ye, Linlin Li. Spatial–Temporal Analysis of Urban Land-Use Efficiency: An Analytical Framework in Terms of Economic Transition and Spatiality. Sustainability. 2019; 11 (7):1839.
Chicago/Turabian StyleShuchang Liu; Yanmei Ye; Linlin Li. 2019. "Spatial–Temporal Analysis of Urban Land-Use Efficiency: An Analytical Framework in Terms of Economic Transition and Spatiality." Sustainability 11, no. 7: 1839.
With rapid urbanization in China, there is an urgent need to better understand spatial patterns of cities’ carbon transitions in urban metabolism processes and to explore ways to achieve low carbon cities through sustainable urban planning. In this study, we took Hangzhou City as an example, and firstly analyzed changes in carbon emission and sequestration based on land use types, using data with 5 years interval from 1995 to 2015. We then quantified both harmful and beneficial carbon transitions by land use changes spatially. Harmful carbon transitions are processes that cause carbon sequestration decreases or carbon emission increases and the beneficial ones are the opposite processes. Finally, we employed a panel data regression analysis to investigate how urban forms and road structures influence urban carbon emission at the district level. We found that carbon emissions experienced a nearly five times increase, while carbon sequestration decreased by 22.29%. And the land use change from cultivated land to industrial land accounted for 61.05% of the harmful carbon transitions. In addition, the spatial analysis of urban carbon transitions indicated harmful carbon transitions always sourced from the eastern parts of Hangzhou. Most beneficial carbon transitions were located in the urban central area and western mountainous areas. The panel data analysis demonstrated that urban expansion modes with high connectedness and a better coupling relationship between urban form and road structure could help to emission reduction, and a mononuclear urban expansion mode at the district-level exerted a positive influence in relation to carbon emissions increase. This study provided an approach to assess urban carbon metabolism and help to better understanding of low-carbon urban form.
Chuyu Xia; Yan Li; Tingbao Xu; Yanmei Ye; Zhou Shi; Yuan Peng; Jingming Liu. Quantifying the spatial patterns of urban carbon metabolism: A case study of Hangzhou, China. Ecological Indicators 2018, 95, 474 -484.
AMA StyleChuyu Xia, Yan Li, Tingbao Xu, Yanmei Ye, Zhou Shi, Yuan Peng, Jingming Liu. Quantifying the spatial patterns of urban carbon metabolism: A case study of Hangzhou, China. Ecological Indicators. 2018; 95 ():474-484.
Chicago/Turabian StyleChuyu Xia; Yan Li; Tingbao Xu; Yanmei Ye; Zhou Shi; Yuan Peng; Jingming Liu. 2018. "Quantifying the spatial patterns of urban carbon metabolism: A case study of Hangzhou, China." Ecological Indicators 95, no. : 474-484.
Agrochemical inputs such as chemical fertilizers and pesticides have been recognized as sources of agricultural non-point source pollution and are controlled in order to prevent further deterioration of water pollution. In consideration of the available and effective measures to improve agricultural output value in a long-term, the key to the adoption of reduction control on agrochemical inputs is to ensure the decoupling relationship of agrochemical inputs to agricultural economic growth and to find out the endogenous growth of agrochemical inputs. This paper analyzed the relationship of agrochemical input consumption and agricultural output value in Eastern China by the Topia decoupling model. Interestingly, the transformation of expansive negative decoupling—expansive coupling—weak decoupling—strong decoupling was exposed, which can be used as a theoretical support to the source reduction control on agricultural non-point source pollution. The source reduction can be influenced of three factors: area factor, agricultural productivity factor and efficiency factor, which were decomposed by applying a log-mean Divisia index (LMDI) method, and the efficiency factor can promote the slowing down of the increase of agrochemical input consumption, while the agricultural productivity factor was the main factor to increase agrochemical input consumption; the area factor was not obvious. In addition to that, the formulation and implementation of source reduction control policies was affected by the differences of the spatial framework in Eastern China, where the source reduction control in different regions would be used to move ahead (or to delay).
Yaoben Lin; Jianhui Yang; Yanmei Ye. Spatial–Temporal Analysis of the Relationships between Agricultural Production and Use of Agrochemicals in Eastern China and Related Environmental and Political Implications (Based on Decoupling Approach and LMDI Decomposition Analysis). Sustainability 2018, 10, 917 .
AMA StyleYaoben Lin, Jianhui Yang, Yanmei Ye. Spatial–Temporal Analysis of the Relationships between Agricultural Production and Use of Agrochemicals in Eastern China and Related Environmental and Political Implications (Based on Decoupling Approach and LMDI Decomposition Analysis). Sustainability. 2018; 10 (4):917.
Chicago/Turabian StyleYaoben Lin; Jianhui Yang; Yanmei Ye. 2018. "Spatial–Temporal Analysis of the Relationships between Agricultural Production and Use of Agrochemicals in Eastern China and Related Environmental and Political Implications (Based on Decoupling Approach and LMDI Decomposition Analysis)." Sustainability 10, no. 4: 917.
Climate change has gained widespread attention, and the rapid growth of the economy in China has generated a considerable amount of carbon emissions. Zhejiang Province was selected as a study area. First, the energy-related carbon emissions from 2000 to 2014 were accounted for, and then the Logarithmic Mean Divisia Index (LMDI) decomposition model was applied to analyse the driving factors underlying the carbon emissions. Finally, three scenarios (inertia, comparative decoupling and absolute decoupling) for 2020 and 2030 were simulated based on the low-carbon city and Human Impact Population Affluence Technology (IPAT) models. The results showed (1) carbon emissions increased by 1.66 times from 2000 to 2014, and trends of carbon emissions were used to divide the study period into three phases (rapid, medium growth and slow decrease phases, with annual growth rates of 12.60%, 4.77% and −1.24%, respectively); (2) the energy intensity effect from 2000–2011 inhibited carbon emissions but was exceeded by the economic output effect, which increased emissions, whereas the energy intensity effect from 2011–2014 outweighed the economic output effect; (3) the scenario analyses revealed that both the comparative and absolute decoupling scenarios would remain consistent with the carbon emissions boundaries in 2020 and 2030, but the comparative decoupling scenario was more reasonable for sustainable development. In addition, appropriate design of emission trading scheme could help to achieve the comparative decoupling by financial incentives.
Chuyu Xia; Yan Li; Yanmei Ye; Zhou Shi; Jingming Liu. Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province. Energies 2017, 10, 1747 .
AMA StyleChuyu Xia, Yan Li, Yanmei Ye, Zhou Shi, Jingming Liu. Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province. Energies. 2017; 10 (11):1747.
Chicago/Turabian StyleChuyu Xia; Yan Li; Yanmei Ye; Zhou Shi; Jingming Liu. 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province." Energies 10, no. 11: 1747.
Air pollution contributes to a large fraction of the total mortality estimated under the global burden of disease project (GBD) of the World Health Organization (WHO). This paper discusses an integrated study to obtain the spatiotemporal characteristics of particulate matter (PM10 and PM2.5) and trace gases (O3, SO2, NO2, and CO) pollutants in Hangzhou City (China) for the years 2014–2016. Our detailed analysis shows a relationship between air pollutants and land-use/land-cover change. Air quality parameters (PM2.5 and PM10) and trace gases (SO2, NO2, and CO) show strong monthly variations in the months of January (higher values) and July (lower values). During monsoon and summer seasons, air quality and trace gases show low values, whereas ozone (O3) is higher in the summer and lower in the winter. The spatial distribution of air pollutants is retrieved using the kriging method at the monitoring sites in Hangzhou City. We have considered normalized difference vegetation index (NDVI) and land surface temperature (LST) from the Landsat 8 data. The correlation between air pollutants and land use at the street-town unit suggests that areas with low NDVI, high road density, large built-up density, and LST are consistent with high concentrations of particulate matter and SO2, NO2, and CO. Among the trace gases, NO2 is found to be the most sensitive element affected by land use patterns, and O3 shows weak correlation with land use. SO2 shows a strong positive correlation with road density and LST, whereas CO shows positive correlation with the built-up density, LST, and population density.
Sheng Zheng; Xueyuan Zhou; Ramesh P. Singh; Yuzhe Wu; Yanmei Ye; Cifang Wu. The Spatiotemporal Distribution of Air Pollutants and Their Relationship with Land-Use Patterns in Hangzhou City, China. Atmosphere 2017, 8, 110 .
AMA StyleSheng Zheng, Xueyuan Zhou, Ramesh P. Singh, Yuzhe Wu, Yanmei Ye, Cifang Wu. The Spatiotemporal Distribution of Air Pollutants and Their Relationship with Land-Use Patterns in Hangzhou City, China. Atmosphere. 2017; 8 (12):110.
Chicago/Turabian StyleSheng Zheng; Xueyuan Zhou; Ramesh P. Singh; Yuzhe Wu; Yanmei Ye; Cifang Wu. 2017. "The Spatiotemporal Distribution of Air Pollutants and Their Relationship with Land-Use Patterns in Hangzhou City, China." Atmosphere 8, no. 12: 110.
Fine particulate matter (PM2.5) is the major air pollutant in China, leading serious threats to human health. Urban construction land spatial form controls the overall aerodynamic roughness of a city, and effects PM2.5 dispersion through wind speed, resulting in PM2.5 concentration uneven spatial distribution. We establish urban construction land use form-PM2.5 dispersion modeling based on Garratt Formula and FLOWSTAR model theoretically, then we use the measured data of the Xuzhou in the winter to verify the model and prove our hypothesis. The PM2.5 concentration that we acquire in Xuzhou is decreasing from the center of the city and the figure of PM2.5 concentration fits the model. This thesis intends to demonstrate that urban construction land spatial form is an important factor effecting the PM2.5 dispersion, and explores the reasonable model to explain it, providing recommendations for urban planning, especially in urban renewal and urban expansion.
Chuyu Xia; Yanmei Ye; Shaoliang Zhang; Jingming Liu. Effects of Urban Construction Land Spatial Form on PM2.5 Dispersion. Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate 2016, 201 -214.
AMA StyleChuyu Xia, Yanmei Ye, Shaoliang Zhang, Jingming Liu. Effects of Urban Construction Land Spatial Form on PM2.5 Dispersion. Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate. 2016; ():201-214.
Chicago/Turabian StyleChuyu Xia; Yanmei Ye; Shaoliang Zhang; Jingming Liu. 2016. "Effects of Urban Construction Land Spatial Form on PM2.5 Dispersion." Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate , no. : 201-214.
China is undergoing unprecedentedly rapid urbanization. The migration of squatters from rural to urban areas not only puts pressure on the supply of urban land and public facilities, but also has profound impacts on the use and management of rural land property. The most obvious and important representation of this situation is the large scale of farmland transfer. In this situation, the real manager of contracted land and the original contractor will no longer be the same. As a response to that, scholars put up with the idea to divide right to contracted management of land (Hereinafter referred to as RCML) into contract right and management right, which is further verified by central government in Central Document NO. 1 of 2014 and 2015. The perspective of jurisprudence and institutional changes will prove that, however, division of RCML won’t be a reasonable reform path. For one thing, the so called division of RCML completely lacks jurisprudence foundation, embodying the confusion of the characters of different law systems from the macro level, and violation of right creation theory from the micro level, meanwhile it confuses members’ right and property right. For another, the division of RCML will confront with large institutional changes cost, which makes it infeasible. This paper thinks that a feasible reform path should be proposed based on our own theory of law system, and it must take farmers, transferees and collective all into account to construct a more comprehensive plan.
Xiaobin Zhang; Yanmei Ye. The Impact of Urbanization on Farmland: Is Division of Right to Contracted Management of Land a Reasonable Way Out? Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate 2016, 229 -240.
AMA StyleXiaobin Zhang, Yanmei Ye. The Impact of Urbanization on Farmland: Is Division of Right to Contracted Management of Land a Reasonable Way Out? Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate. 2016; ():229-240.
Chicago/Turabian StyleXiaobin Zhang; Yanmei Ye. 2016. "The Impact of Urbanization on Farmland: Is Division of Right to Contracted Management of Land a Reasonable Way Out?" Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate , no. : 229-240.
Zhejiang Province, China is experiencing rapid urbanization, facing the challenge of coupling socioeconomic development and ecological conservation. This paper establishes a comprehensive index system to assess coordinating development of economic, construction land use (CLU), and ecology subsystems. A Granger test and a coupling coordination model were applied to explore the causal relationship and the coordinated development state among the three subsystems from 2000 to 2012. The results showed that: (1) changes in the integrated value of the economic subsystem were the Granger cause of changes in the ecology and CLU subsystems, and the changes in the integrated values of ecology and CLU was each other’s Granger cause; (2) the coupling coordination relationship of the integrated value for economic–CLU–ecology was constrained by the relationship between the economic and the CLU subsystems from 2000 to 2004, and that between the ecology and the economic subsystems was the impediment of the sustainable development of economic–CLU–ecology from 2004 to 2012. This research helps to identify approach to sustainable development through analyzing synergistic effects, interdependencies, and trade-offs among the integrated economic–CLU–ecology values, and to make significant contribution to urban planning policies in rapid urbanization region.
Chuyu Xia; Yan Li; Yanmei Ye; Zhou Shi. An Integrated Approach to Explore the Relationship Among Economic, Construction Land Use, and Ecology Subsystems in Zhejiang Province, China. Sustainability 2016, 8, 498 .
AMA StyleChuyu Xia, Yan Li, Yanmei Ye, Zhou Shi. An Integrated Approach to Explore the Relationship Among Economic, Construction Land Use, and Ecology Subsystems in Zhejiang Province, China. Sustainability. 2016; 8 (5):498.
Chicago/Turabian StyleChuyu Xia; Yan Li; Yanmei Ye; Zhou Shi. 2016. "An Integrated Approach to Explore the Relationship Among Economic, Construction Land Use, and Ecology Subsystems in Zhejiang Province, China." Sustainability 8, no. 5: 498.
Shopping online as an alternative to in-store shopping can make much of traditional retail less attractive. There exists an obvious relationship between e-commerce and the demand for commercial real estate that accommodates physical retail shops. Substantial evidence supports the idea that the demand for physical shops has been affected by the rapid development of e-commerce in China. In order to better understand the sustainability of the commercial real estate market in a context of rapidly developing e-commerce in China, this study seeks to clarify the relationship between e-commerce and the demand for commercial real estate. Methods of inductive and comparative analysis are adopted. The findings show that from 2009 to 2013, the slowing growth rate of commercial property sales and the accelerating vacancy rate of commercial properties are closely related to the dramatic growth of e-commerce. We also found that different forms of commercial properties–supermarkets, department stores and shopping centers–are differently affected by the rise of e-commerce. However, due to the respective advantages and disadvantages associated with online and offline shopping, physical stores will not be completely eclipsed by virtual retail shopping.
Danlei Zhang; Pengyu Zhu; Yanmei Ye. The effects of E-commerce on the demand for commercial real estate. Cities 2016, 51, 106 -120.
AMA StyleDanlei Zhang, Pengyu Zhu, Yanmei Ye. The effects of E-commerce on the demand for commercial real estate. Cities. 2016; 51 ():106-120.
Chicago/Turabian StyleDanlei Zhang; Pengyu Zhu; Yanmei Ye. 2016. "The effects of E-commerce on the demand for commercial real estate." Cities 51, no. : 106-120.