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A GIS-based Spatial Analysis of Housing Price and Road Density in Proximity to Urban Lakes in Wuhan City, China 被引量:8
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作者 ZHANG Zuo TAN Shukui TANG Wenwu 《Chinese Geographical Science》 SCIE CSCD 2015年第6期775-790,共16页
As one of the essential urban open spaces, lakes usually contribute immensely to the quality of residents′ daily lives. Different from hedonic approach employed in existing researches on urban open spaces in China, t... As one of the essential urban open spaces, lakes usually contribute immensely to the quality of residents′ daily lives. Different from hedonic approach employed in existing researches on urban open spaces in China, this paper integrates housing price surface with road density to analyze the spatial characteristics in proximity to urban lakes in Wuhan City, China. With the expansion of Wuhan City, urban lakes became polluted, they shrunk or even disappeared, leading to unfavorable conditions for sustainable development of the city. To better understand the spatial relationship between the city and lakes, we classify the urban lakes in Wuhan central area into ′lakes in the urban center′ and ′lakes in urban fringe′. Based on housing price surface we explore the spatial characteristics in proximity to different lakes and differences between the lakes. We also use Geographic Information System(GIS) tool to calculate road density as a supplementary indicator to reflect the accessibility in proximity to urban lakes. The results indicate that relative independence exists between different towns, and the spatial characteristics are different depending on scales and locations. In most of cases, the road density is lower where closer to the lakeshore while the housing price exhibits an opposite pattern. We conclude that city governments and urban planners should give more considerations to these spatial differences, somewhere should be better planned and protected as an important waterfront and somewhere the control of unreasonable real estate development nearby should be strengthened. 展开更多
关键词 urban lakes housing prices road density Geographic Information System (GIS) Wuhan City China
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House Price, Consumption Power and Gap of Demographic Urbanization in China 被引量:1
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作者 孔艳芳 《China Economist》 2016年第3期91-105,共15页
This paper investigates the gap of demographic urbanization arising from the difference between rural residents who have migrated to cities and those who have acquired urban citizenship in the process of China's u... This paper investigates the gap of demographic urbanization arising from the difference between rural residents who have migrated to cities and those who have acquired urban citizenship in the process of China's urbanization. The skyrocketing house prices and insufficient household consumption power are key factors to the widening gap, which had reached 18% in 2013. In order to explore this issue, by creating the basic model and the model with interaction term, this paper has analyzed the relationship among house prices, consumption power and gap of urbanization using the data of 31 provinces between 1999 and 2013 in China. Empirical result indicates that: there is a positive correlation between the house prices and the gap of China's demographic urbanization. However, such a correlation is restrained by these rural migrants who rent houses in cities. For an increase of house price by 1%, the gap of urbanization will widen by 1.05%. Although rising urban consumption power of rural residents has increased the ratio of migration, the lagged growth of consumption power has led to a widening gap of urbanization. Therefore, the only way to effectively reduce the gap of demographic urbanization is to increase the consumption power of migrant population and optimize consumption structure. 展开更多
关键词 gap of demographic urbanization house price consumption power
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Impact of Urban Public Service Facilities on Distribution Pattern of Housing Price 被引量:1
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作者 WANG Yuqi 《Journal of Landscape Research》 2021年第1期81-83,88,共4页
The impact of different public service facilities is obtained by investigating the infl uence of public service facilities on distribution pattern of housing price in 25 cities.According to the survey results,public e... The impact of different public service facilities is obtained by investigating the infl uence of public service facilities on distribution pattern of housing price in 25 cities.According to the survey results,public education service facilities have the highest weight and the greatest impact,which also refl ects the root of“school district housing fever”from the side.Public sports service facilities have the lowest score when compared with other options.This is not because public sports service facilities are not important,but is determined by actual situation of social development and actual living standard of residents in China.From the improvement and enhancement of urban public service facilities,the construction of public service facilities should be convenient for people’s education,health,culture and entertainment. 展开更多
关键词 urban public service facilities Housing price Distribution pattern IMPACT QUESTIONNAIRE
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Congestion Pricing of Urban Street Segments along with MRT Route—The Case Study of Dhaka, Bangladesh
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作者 Mohammad Mushfiqul Islam Niloy Saha +1 位作者 Md. Sajedur Rahman Nasir Uddin Ahmed 《Journal of Transportation Technologies》 2021年第2期168-178,共11页
Dhaka, Bangladesh’s capital, already has a congestion problem to handle the ever-growing demand for traffic. The usage of private cars cannot be stopped by charging and the town is not encouraged by quality public tr... Dhaka, Bangladesh’s capital, already has a congestion problem to handle the ever-growing demand for traffic. The usage of private cars cannot be stopped by charging and the town is not encouraged by quality public transport. It is impossible to enforce congestion prices here in line with traditional cordon pricing systems since the region uses unusual land patterns. However, the </span><span style="font-family:Verdana;">current project Mass Rapid Transit (MRT) Line 6, which will be built by </span><span style="font-family:Verdana;">2021, provides the prospect of congestion pricing. A price and optimum approach were established for this article. The congestion price is only payable for the </span><span style="font-family:Verdana;">segments and is accessible for private cars under this system. Two urban </span><span style="font-family:Verdana;">street segments along the MRT route were selected for the study and congestion toll for a private car is estimated for each segment separately. The sum of the toll in monetary terms is determined using certain associated parameters from the discrepancy from the actual Level of Service (LOS) travel time and traffic flow to the desired LOS. The outcome has shown that the price per </span><span style="font-family:Verdana;">passenger car is $0.3 - $0.44. The price is flexible, which means it will vary</span><span style="font-family:Verdana;"> b</span><span style="font-family:Verdana;">ased on traffic volume. The findings for politicians to enforce congestion</span><span style="font-family:Verdana;"> pricing are viewed as recommendations. 展开更多
关键词 Congestion price urban Street Segment level of Service MRT
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The Economic Effect of the Housing Refurbishment in Urban Regeneration
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作者 LAI Pi-ying 《Journal of Modern Accounting and Auditing》 2011年第1期31-37,共7页
With the increasing ratio of self-owned housing, the demand for new building as gradually reduced. In other words, the demand of refurbishment becomes more urgent. The major objective of this paper is to explore and i... With the increasing ratio of self-owned housing, the demand for new building as gradually reduced. In other words, the demand of refurbishment becomes more urgent. The major objective of this paper is to explore and investigate the consumer behavior of housing renovation. We plan to explore the direct effects of housing refurbishment or restoration on the housing prices, and then the indirect effects of an externality spilled over to the neighbor. We will understand the overall effects to provide a preliminary estimate of the changing in the economic value resulting from the change in the housing refurbishment or restoration of buildings. This research also dig into how the effects in the housing refurbishment or restoration in Taipei city & Kaohsiung city. The purpose is to investigate the driving force on the housing restoration. This study will be the empirical study on the economic values by using hedonic price model. The result will be useful on the decision-making on the urban regeneration by the way of housing restoration and suggests that property owners of a housing estate will benefit from participating on refurbishment in Taiwan. 展开更多
关键词 urban regeneration housing refurbishment economic effects housing price
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Distribution Pattern of Urban Housing Price Based on Multiple Big Data:A Case Study of Beijing,Shanghai,Guangzhou,and Wuhan
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作者 LIN Yichen WANG Li +2 位作者 LIU Yating GONG Yue XU Jingyi 《Journal of Landscape Research》 2021年第4期57-61,66,共6页
The housing price has been paid close attention by people in all walks of life,and the development of big data provides a new data environment for the study of urban housing price.Housing price data of four national c... The housing price has been paid close attention by people in all walks of life,and the development of big data provides a new data environment for the study of urban housing price.Housing price data of four national central cities (Beijing,Shanghai,Guangzhou and Wuhan) are taken as research samples.With the help of software GIS,exploratory spatial data analysis method is used to depict the spatial distribution pattern of urban housing price,and commonness and difference of spatial distribution of housing price are explored.The conclusions are as below:①regional imbalance of housing price in national central cities is significant.②Spatial distribution of urban housing price in Beijing,Shanghai,Guangzhou and Wuhan presents a polycentric pattern,and there is obvious spatial agglomeration.③The internal change of housing price in different cities has significant spatial difference.Beijing,Shanghai,Guangzhou and Wuhan are taken as typical city samples for research,with reference and practical significance,which could help to effectively predict spatial development trend of housing prices in other first and second tier cities.The research aims to provide certain reference for the government implementing real estate control policies according to local conditions,project location and reasonable pricing of real estate developers. 展开更多
关键词 Multiple big data BEIJING SHANGHAI Guangzhou and Wuhan urban housing price Distribution pattern
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A Study on Spatial Distribution of Commercial Housing Prices in Xiangtan City
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作者 Jinning XIE Qinxiang SONG 《Asian Agricultural Research》 2016年第9期32-35,共4页
ArcGIS technology is used to study the spatial pattern of housing prices in Xiangtan City,and it is found that the spatial pattern of housing prices shows primary and secondary two-center rings. In Hedong Jianshe Road... ArcGIS technology is used to study the spatial pattern of housing prices in Xiangtan City,and it is found that the spatial pattern of housing prices shows primary and secondary two-center rings. In Hedong Jianshe Road and near Hexi Jijianying,there are primary and secondary polar nuclei,respectively; the secondary housing price area is located near the east-west and south-north trunk road in the urban area; there are significant regional differences in housing price changes( fastest reduction of prices in the Hedong main center-southwest direction; slow reduction of prices in the main center-northwest,southeast direction; slowest reduction of prices in the main center-northeast direction). In Hexi sub-center,except slow reduction of prices in the Xiangjiang River direction,the prices decline rapidly in other directions. The housing prices exhibit an obvious overall decreasing trend from primary and secondary centers to the suburbs,but there are also exceptions. On this basis,this paper analyzes the driving factors for spatial pattern of housing prices in Xiangtan City,and finds that the spatial pattern of housing prices is mainly influenced by commercial centers,residential environmental conditions,traffic conditions,and urban land layout differences. 展开更多
关键词 Housing prices urban spatial pattern ARCGIS Xiangtan City
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房价上涨是否推迟了初婚年龄?——基于CGSS数据的实证分析 被引量:2
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作者 刘金山 杜林 《北京航空航天大学学报(社会科学版)》 CSSCI 2024年第1期108-116,共9页
“房价”与“婚姻”是大众热议的民生问题。构建婚姻决策理论模型,探讨房价对结婚率的影响,基于中国综合社会调查(CGSS)数据,考察房价上涨对居民初婚年龄的影响。结果表明:房价每上涨1%,居民的平均初婚年龄增加1.108岁;房价上涨对女性... “房价”与“婚姻”是大众热议的民生问题。构建婚姻决策理论模型,探讨房价对结婚率的影响,基于中国综合社会调查(CGSS)数据,考察房价上涨对居民初婚年龄的影响。结果表明:房价每上涨1%,居民的平均初婚年龄增加1.108岁;房价上涨对女性初婚年龄的推迟效应大于男性,对城镇地区居民初婚年龄的推迟效应大于农村地区居民,对经济欠发达地区居民初婚年龄的推迟效应大于发达地区居民;家庭经济水平对农村地区男性的初婚年龄有显著负向影响,个体受教育程度对欠发达地区居民的初婚年龄有显著负向影响。 展开更多
关键词 房价 初婚年龄 推迟效应 性别差异 城乡差异
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地方政府债务对城镇化的影响机制及中介效应 被引量:1
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作者 郭力 魏家琛 《决策与信息》 2024年第8期67-76,共10页
地方政府债务扩张是我国政府主导、投资驱动型传统城镇化模式的重要动能和必然表现。然而,当前地方债问题日益显现,地方城投平台高杠杆主导城镇化模式亟待转型。基于2002-2020年全国31个省份数据,运用个体固定效应与工具变量模型,实证... 地方政府债务扩张是我国政府主导、投资驱动型传统城镇化模式的重要动能和必然表现。然而,当前地方债问题日益显现,地方城投平台高杠杆主导城镇化模式亟待转型。基于2002-2020年全国31个省份数据,运用个体固定效应与工具变量模型,实证分析地方政府债务对新型城镇化的影响机制及中介效应和调节效应后发现:地方债扩张对城镇化产生先促进再抑制的非线性影响,债务扩张初期有利于完善城市基础设施和促进就业,但后期资本效率下降和对私人投资的挤出凸显;地方债通过抬高房价-收入比、刺激固定资产投资进而促进城镇化;老龄化程度越高的地方政府越倾向通过债务扩张拉动城镇化;但是服务业就业会减缓地方债对城镇化的促进效果。因此,高城镇化水平区域要更加严控地方政府债务规模,约束地方城投公司行为,地方财政支出更多偏向养老支持、住房保障等普惠性公共服务,发挥第三产业就业对城镇化作用。 展开更多
关键词 城镇化 地方政府债务 房价收入比 老龄化
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住房压力如何影响青年流动人口的落户意愿--基于城市公共服务水平的调节效应分析
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作者 周建军 周真禅 丁万川 《湖南大学学报(社会科学版)》 CSSCI 北大核心 2024年第5期71-80,共10页
利用2017年中国流动人口动态监测数据匹配我国284个地级市及以上城市数据,考察住房压力对青年流动人口落户意愿的影响及城市公共服务水平的调节效应。研究发现:住房压力与青年流动人口落户意愿之间呈倒U型关系;城市公共服务水平能够延... 利用2017年中国流动人口动态监测数据匹配我国284个地级市及以上城市数据,考察住房压力对青年流动人口落户意愿的影响及城市公共服务水平的调节效应。研究发现:住房压力与青年流动人口落户意愿之间呈倒U型关系;城市公共服务水平能够延缓住房压力对青年流动人口落户意愿负面影响的发生。进一步分析表明,青年流动人口户籍所处地理位置与居住证办理情况均能在不同程度上影响城市公共服务的调节效果。 展开更多
关键词 住房压力 城市公共服务水平 青年流动人口 落户意愿
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中心城市科技创新能促进城市群协调发展吗?——兼论收入房价比的调节作用
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作者 梁军 李佳艺 《经济经纬》 CSSCI 北大核心 2024年第4期16-28,共13页
利用2007—2019年127个地级市的数据,系统检验了中心城市科技创新对城市群协调发展的影响机制,并讨论了收入房价比对二者关系的调节作用。研究发现:第一,中心城市科技创新水平的提高不仅显著促进了城市群协调发展,还加快了外围城市经济... 利用2007—2019年127个地级市的数据,系统检验了中心城市科技创新对城市群协调发展的影响机制,并讨论了收入房价比对二者关系的调节作用。研究发现:第一,中心城市科技创新水平的提高不仅显著促进了城市群协调发展,还加快了外围城市经济增长收敛,并在不同地区和不同发展阶段的城市群表现出明显的异质性。第二,中心城市科技创新通过深化产业分工促进城市群协调发展。第三,收入房价比能够调节中心城市科技创新与城市群协调发展之间的关系,但调节效果存在区域异质性,仅在中部地区显著增强了中心城市科技创新对城市群协调发展的促进作用,对东部和西部地区没有明显的调节作用。研究结论不仅丰富了中心城市科技创新影响城市群协调发展的理论研究,且在提高收入房价比方面提供了政策启示。 展开更多
关键词 中心城市科技创新 城市群协调发展 收入房价比 产业分工 调节效应
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房价对城市全要素生产率的影响机制研究--基于Tobit模型实证分析 被引量:1
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作者 李向军 徐桥 《技术经济》 CSSCI 北大核心 2024年第1期1-13,共13页
基于2008—2016年全国35个大中型城市的面板数据,利用Tobit模型和投入导向型的数据包络分析(DEA)方法探究城市房屋销售价格对城市全要素生产率的影响。研究发现:在整体维度城市房价与城市生产率呈现先增加后减少的倒U型曲线,且城市的房... 基于2008—2016年全国35个大中型城市的面板数据,利用Tobit模型和投入导向型的数据包络分析(DEA)方法探究城市房屋销售价格对城市全要素生产率的影响。研究发现:在整体维度城市房价与城市生产率呈现先增加后减少的倒U型曲线,且城市的房价水平超过了“房住不炒”的最高临界值,房价上升的抑制效应显著。房价对于不同人口规模城市的生产率影响具有异质性,在人口规模达到特大城市时,房价与城市生产率呈现倒U型特征,人口规模达到超大城市后,房价与城市生产率倒U型特征消失。不同类型城市房价与城市生产率之间的倒U型关系和城市的异质性特征表明,我国大中型城市应进行房价的“一城一策”精细化调节,“房住不炒”的政策定位具有坚实理论依据和现实必然。 展开更多
关键词 房价 城市生产率 TOBIT模型
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限购政策与城市房价溢出效应——基于70个大中城市准自然实验的研究
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作者 龚金金 郑挺国 曹伟伟 《管理现代化》 北大核心 2024年第5期34-43,共10页
基于2015年1月至2022年3月全国70个大中城市的房价数据,本文考察了第二轮限购对城市房价溢出效应的影响。研究结果表明,限购政策有助于促进城际间的房价溢出效应。异质性分析显示,沿海地区、大规模城市出台的限购政策所引致的房价溢出... 基于2015年1月至2022年3月全国70个大中城市的房价数据,本文考察了第二轮限购对城市房价溢出效应的影响。研究结果表明,限购政策有助于促进城际间的房价溢出效应。异质性分析显示,沿海地区、大规模城市出台的限购政策所引致的房价溢出效应高于内陆地区、小规模城市,而有社保及个税缴纳证明要求以及针对全域范围内的限购政策更能引发城市房价外溢。拓展性分析表明,限购政策能够通过降低房地产市场关注度和房产交易量影响城市间的房价溢出效应。本研究对优化地方政府的房市调控政策具有一定的借鉴意义。 展开更多
关键词 限购政策 城市房价 溢出效应
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长江中下游城市群住宅价格分布特征分析
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作者 程宇恒 刘洋 朱丽芳 《特区经济》 2024年第9期88-94,共7页
本文以《长江经济带发展规划纲要》正式实施后连续四年的长江中下游城市群79个地级市的住宅商品房价格作为基础数据,采用空间自相关分析探索区域在政策实施后住宅价格的空间分布特征,并运用地理探测器模型测算各房价驱动因素的强弱差异... 本文以《长江经济带发展规划纲要》正式实施后连续四年的长江中下游城市群79个地级市的住宅商品房价格作为基础数据,采用空间自相关分析探索区域在政策实施后住宅价格的空间分布特征,并运用地理探测器模型测算各房价驱动因素的强弱差异。结果表明:一是区域住宅价格在空间上呈现随行政等级上升而上升的趋势,整体呈东高西低的走向,且政策的实施并未刺激该规律发生明显变化;二是区域房价集聚特征显著,政策实施使得区域房地产发展差异有所下降,促进了协同发展。三是通过因子探测表明,城市行政等级等指标对于房价空间分异的驱动作用大;人口因素对于房价驱动作用小,区域人口红利逐渐消弱。四是交互探测表明,两驱动因子的共同作用下对于房价的解释力增加。人口因素指标与其他指标叠加作用时,驱动力大大增强。 展开更多
关键词 长江中下游城市群 住宅价格 空间分布格局 地理探测器 长江经济带发展规划纲要
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城市人口密度、房价与城乡消费不平等
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作者 赵德起 唐旺 《海南大学学报(人文社会科学版)》 CSSCI 2024年第6期24-33,共10页
城乡消费不平等直接影响着共同富裕目标的推进与新发展格局的构建。城市人口密度和房价是扩大内需的重要因素。本文在构建数理模型的基础上,利用2011—2020年中国省级面板数据实证检验了城市人口密度和房价对城乡消费不平等的影响,结果... 城乡消费不平等直接影响着共同富裕目标的推进与新发展格局的构建。城市人口密度和房价是扩大内需的重要因素。本文在构建数理模型的基础上,利用2011—2020年中国省级面板数据实证检验了城市人口密度和房价对城乡消费不平等的影响,结果表明城市人口密度和房价会分别对城乡消费不平等产生显著的抑制和促进作用,这一结果在稳健性检验和内生性讨论后仍然成立。分位数回归、考虑消费结构和分组回归后的结果表明城市人口密度和房价对城乡消费不平等的影响存在显著的异质性差异。作用机制检验和调节效应分析结果表明城乡收入不平等是城市人口密度影响城乡消费不平等的作用机制,财富效应和物价是房价影响城乡消费不平等的作用机制。缩小平均家庭户规模、增加中规模家庭户比重以及降低大规模家庭户比重都能够通过调节效应抑制城乡消费不平等水平的扩大。本文丰富了相关领域的研究,为缩小城乡消费不平等及扩大内需提供了政策启示。 展开更多
关键词 城市人口密度 房价 城乡消费不平等
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房价上涨对共同富裕的影响探究——基于城乡收入差距视角的空间计量分析
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作者 陶丽娜 《广东水利电力职业技术学院学报》 2024年第2期104-108,共5页
为探究房价上涨对共同富裕的影响,通过分析房价、城乡收入差距和共同富裕的作用机制,并基于我国2010~2020年30个省际面板数据,构建空间计量分析模型对其进行检验。结果表明,从全国来看,房价上涨会拉大城乡收入差距,从而抑制共同富裕;从... 为探究房价上涨对共同富裕的影响,通过分析房价、城乡收入差距和共同富裕的作用机制,并基于我国2010~2020年30个省际面板数据,构建空间计量分析模型对其进行检验。结果表明,从全国来看,房价上涨会拉大城乡收入差距,从而抑制共同富裕;从各地区来看,房价上涨对城乡收入差距的影响存在差异,需因地施策促进共同富裕。 展开更多
关键词 房价上涨 城乡收入差距 共同富裕
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A Study on the Relationship Between Land Finance and Housing Price in Urbanization Process: An Empirical Analysis of 182 Cities in China Based on Threshold Panel Models 被引量:2
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作者 Meiting HU Jichang DONG +2 位作者 Lijun YIN Chun MENG Xiuting LI 《Journal of Systems Science and Information》 CSCD 2021年第1期74-94,共21页
Scholars have a variety of theoretical explanations for housing price growth. However, few scholars have studied the internal influence mechanism among urbanization, land finance, and housing price. Based on the data ... Scholars have a variety of theoretical explanations for housing price growth. However, few scholars have studied the internal influence mechanism among urbanization, land finance, and housing price. Based on the data of 182 prefecture-level cities from 2009 to 2016, this paper studies the influence of land finance on housing price under different urbanization rate levels. The study finds that with the increase of urbanization rate, the effect of land finance on housing price presents a "U" shape.Specifically, an increase in land finance by 1% results in a corresponding increase in average housing price by 0.18%, with relatively low urbanization rate, 0.06% with medium level of urbanization rate,and 0.38% with high level of urbanization rate. 展开更多
关键词 urbanIZATION land finance housing price threshold panel model
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Modeling urban housing price: The perspective of household activity demand 被引量:1
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作者 牛方曲 刘卫东 《Journal of Geographical Sciences》 SCIE CSCD 2017年第5期619-630,共12页
Existing studies about the modeling of urban housing price have figured out sets of factors and the main focus is on the relative spatial location. Generally, this line of research is descriptive rather than modeling ... Existing studies about the modeling of urban housing price have figured out sets of factors and the main focus is on the relative spatial location. Generally, this line of research is descriptive rather than modeling in nature. The underlying reasons for the distribution of housing price are largely unexplored and more research is needed. The paper therefore attempted to systematically explore the spatial heterogeneities of urban housing price based on the urban activity interaction rule. Using Beijing as a case study, this study first developed a new measurement of accessibility which directly depicts the cost and possibilities to access opportunities of different activities such as employments, educational, shopping and medical services. From the perspective of demands of different households, the paper then modelled the relationships between urban housing price and these accessibilities and found that the distribution pattern of housing price can be relatively well represented by this model that the R^2 could achieve 0.7. We investigated the relationship between housing price and the demands of different kinds of households categorized by households of one-generation, two-generation, three-generation and four-and-plus-generation and found that the demands of household of four-and-plus-generations is the most highly correlated with housing prices. The reason might be that this kind of household has more household members and the demands are more diverse and complex, which is more similar to the distributions of all kinds of activity opportunities in the real world. In the end of the paper, some implications for policy-making are proposed based on the results of the analyses. 展开更多
关键词 accessibility housing price household urban activity travel
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Quantifying Changes of Mobile Source Air Pollution in Metropolitan Areas Using Vehicle Emission Model MOVES
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作者 Fengxiang Qiao Ling Liu Lei Yu 《Journal of Environmental Science and Engineering(A)》 2014年第6期336-340,共5页
Vehicle emissions are one of the major sources of urban air pollution and are also called mobile source emissions. A large amount of gross vehicle emissions is generated by vehicles commuting between residential homes... Vehicle emissions are one of the major sources of urban air pollution and are also called mobile source emissions. A large amount of gross vehicle emissions is generated by vehicles commuting between residential homes and the workplace. Homebuyers generally prefer to purchase residential houses that are relatively less expensive, albeit at the cost of relatively longer commuting times. Consumers usually consider additional travel time, fuel consumption, and other personally concerned factors, with less apprehension about the extra air pollution possibly generated. In cities with populations between 15,000 and 1,000,000, an increase of one additional minute of average commuting time is associated with a reduction of 1.9 dollars in housing price per square foot (p-value: 0.038). To account for the generation of additional air pollution, this paper numerically characterizes factors related to air pollutants caused by additional travel time due to housing prices. Air pollutants such as CO, CO2, NO2, NO, NOx and SO2 as well as fuel consumption were estimated by MOVES (motor vehicle emissions simulator). The results will be a useful reference to generate recommendations for more efficient reduction of mobile source air pollution in metropolitan areas through joint efforts by government, agencies, the public, and industry from multiple fields including environment protection, land use, housing markets, transportation management, and law enforcement. 展开更多
关键词 Air pollution urban environment commuting time housing price.
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China's Economic Growth Cycles over the Past 60 Years and the Current New Cycle
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作者 刘树成 《China Economist》 2011年第2期12-17,共6页
This paper first summarizes China's economic growth rate fluctuations over the past 60 years since 1949 and examines the new developments in China's economic structure behind these fluctuations since reform and open... This paper first summarizes China's economic growth rate fluctuations over the past 60 years since 1949 and examines the new developments in China's economic structure behind these fluctuations since reform and opening-up in the late 1970s.In tackling the global financial crisis,China is embracing a new economic cycle and must draw upon its economic history to prolong the upward momentum in the new cycle.To do so means maintaining an appropriate growth rate in the new cycle.This paper also analyzes the importance urbanization and the housing sector will play in the new cycle and how to address rising housing prices. 展开更多
关键词 economic cycle moderate growth rates urbanIZATION housing prices
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