LAND BANK 2.0: AN EMPIRICAL EVALUATION

In 2009, Cuyahoga County, Ohio (Cleveland and 58 suburbs), established a land bank to acquire low‐value properties, mitigate blighted housing, and slow the decline of property values. This empirical study evaluates the effectiveness of the land bank by estimating spatially corrected hedonic price models using sales near the land‐bank homes. The land bank reduces the negative externalities of the properties it acquires. Its largest impact is the preservation of equity in unsold homes. We also estimate the recovered value for homes sold during the study period and the property tax revenue that may have been forgone, absent the land bank.     

农村市场参与者的特征和行为感应分析

将行为方法引入到农村市场的研究中来是十分必要的。作者以行为理论为基础,通过详细的调查研究,揭示了区域性农村市场上消费者和商人的行为特征及其感应和偏好。     

AN EMPIRICAL ANALYSIS OF INTERREGIONAL PRICE LINKAGES*

ABSTRACT Vector autoregression models are used to analyze the relationships between Texas and Illinois corn prices, and the New Orleans export price. Decomposition of error variances suggests an increasing exogeneity in the recent years between the export market and the two U.S. markets. Impulse response functions indicate that the export price influences both the Illinois and Texas prices.     

A CONSOLIDATED MODEL OF MONOCENTRIC CITIES AND AN EMPIRICAL ANALYSIS OF URBAN SCALES AND LAND PRICES IN CHINESE CITIES*

ABSTRACT Motivated by the newly established Chinese urban land markets, we develop a theoretical model that unifies the “closed” and “open” features of the classical monocentric city model. The model features interactions between permanent urban residents and migrants and exhibits a distinctive equilibrium pattern. The theoretical model is tested empirically, using recent Chinese city‐level data. The empirical findings indicate that market forces now play an important role in urban expansion and land price formation, while various forms of government planning are still influential. Our results show that migrants exert a less pronounced impact than the classical “open” city model has suggested.     

BUSINESS TAX INTERACTIONS AMONG LOCAL GOVERNMENTS: AN EMPIRICAL ANALYSIS OF THE FRENCH CASE

ABSTRACT.  We study the business tax ("taxe professionnelle") behavior of the intermediate level (department) of local government in France and test in the same model the two hypotheses that department tax rates are explained by upper tier (region) tax rates and by tax rates chosen by other departments. We first reject the hypothesis of tax interactions between departments and regions, the two upper levels of local governments. Second, we provide evidence that business tax interactions among departments are significant. Including the vertical dimension in the estimated model does not lead to a decrease in the horizontal tax interactions parameter, nor to its nonsignificance.     

不同类型道路密度对公共空间盗窃犯罪率的影响——基于ZG市的实证研究

道路密度对犯罪分布存在影响已得到大多数学者的证实,但忽略了不同类型道路属性的差异对犯罪的影响。不同类型道路在社会-建成环境等各种属性方面存在较大的差异,因此明确不同类型道路密度对公共空间盗窃犯罪率存在的影响有助于犯罪的防控。基于此,本文以派出所为单元构建多元线性回归模型进行研究。研究发现,不同类型道路密度对公共空间盗窃犯罪率影响不同：城市次干道、城市支路和其他可通车道路密度对公共空间盗窃犯罪率有正向影响;不可通车道路密度对公共空间盗窃犯罪率有负向影响;城市主干道密度对公共空间盗窃犯罪率影响不显著。不同类型道路社会-建成环境的差异是公共空间盗窃犯罪率不同的原因。研究结果可为犯罪精准防控提供指导。     

长株潭城市群服务业竞争力的实证分析

服务业是扩大内需促进经济增长的重要推动力,是真正的资源节约型、环境友好型产业。通过设计一套评价服务业竞争力的指标体系,根据这套指标体系来评价长株潭城市群服务业区域竞争力时发现,长沙服务业竞争远高于其他两个地区,株洲次之,湘潭排名虽然最后,但发展潜力很大。因此长沙应继续深化服务业改革,株洲应优化服务业内部结构,加快传统行业改造,大力发展新兴行业;湘潭服务业应合理规划,选择重点行业优先发展。     

南京市区活动空间总体特征研究——基于大数据的实证分析

大数据"时代的到来,提供了新的研究方法与研究视角。人作为信息化的主体,随着移动信息通信技术的快速发展以及信息通信设备的日益普及,人们在网络中遗留的带有地理空间信息的大规模"痕迹"成为重要的研究数据,并开始被地理学者广泛关注。本文尝试通过借助新浪微博,引入位置服务签到大数据分析南京市区活动空间的总体特征通过与基于城镇人口的空间等级对比研究发现活动空间等级的依赖与极化并指出信息时代下距离的二重作用是导致空间极化的最主要原因。     

ENERGY DISPERSIVE X-RAY FLUORESCENCE ANALYSIS OF ANCIENT COPPER ALLOYS: EMPIRICAL VALUES FOR PRECISION AND ACCURACY

Energy dispersive X-ray fluorescence (EDXRF) analyses are compared with neutron activation as well as atomic absorption analyses of ancient copper-based alloys in order to examine their accuracy and to estimate realistic values for precision and sensitivity of EDXRF. The results show that it is possible to obtain reliable data of the surface composition of objects non-destructively. Better results for bulk composition are usually obtained with drill samples where the sensitivity of the method is at least competitive with atomic absorption spectroscopy with flame atomization.