Impact of Urban Growth Boundary on Housing and Land Prices: Evidence from King County,Washington

This study provides evidence of the impact of an urban growth boundary (UGB) on housing and land prices. The study uses a data-set that inventories sales transactions of single-family homes and of vacant lots zoned for single-family homes within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that although the UGB increases land prices by 230 per cent, it decreases housing prices by 1.3 per cent. These findings should encourage policy-makers to adopt a policy framework in which a UGB's anticipated inflationary land price effect is mitigated by policies that increase housing supply. Such policies could include minimum density requirements, zoning for multifamily housing, and ordinances enabling the construction of accessory dwelling units.     

Does internet security matter for foreign direct investment? A spatial econometric analysis

This paper examines the impact of the Internet security environment on Chinese outward foreign direct investment (FDI) using a merged cross-country data set over 2010–2017 with a dynamic spatial model. The results show that Internet security is a crucial determinant for Chinese firms to make location decisions overseas. Particularly, a secure Internet significantly promotes Chinese outward FDI to a host country. In contrast, Internet security in surrounding countries yields negative spatial location spillovers that hinder Chinese firms from investing in the host country. This phenomenon can be regarded as a national competition for Internet security to attract FDI. Mechanism tests show that Internet security promotes FDI in host countries through four channels: operating cost reductions, transaction cost-cutting, information asymmetry decreases, and confidentiality protection. Further heterogeneous analyses show that the impact of Internet security is more significant as time passes and the host country becomes an Internet society. In contrast, specific international cooperation frameworks led by China weaken the location effect of Internet security for Chinese outward FDI. These results are robust after controlling for potential endogeneity and to different specifications. Therefore, the host authorities should endeavor to create a high-quality Internet security environment to attract FDI.     

Demand sensing in e-business

In this paper, we identify various models from the optimization and econometrics literature that can potentially help sense customer demand in the e-business era. While modelling reality is a difficult task, many of these models come close to modelling the customer's decision-making process. We provide a brief overview of these techniques, interspersing the discussion occasionally with a tutorial introduction of the underlying concepts.     

联立方程组系数估计的一个方法

设y,x为已知的矩阵。ε为随机矩阵,它的每个元素是服从同方差标准正态分布,元素之间互相独立,B,Г是未知的参数矩阵。利用极大似然估计法来估计在约束条件BR=Q下的联立方程By^T=Гx^T ε的参数,避免了识别性的判别,得到了一些有意义的结果。     

联立方程计量经济学模型ILS和2SLS估计等价性的证明

针对联立方程计量经济学模型,在结构方程为恰好识别时,ＩＬＳ估计和２ＳＬＳ估计的等价性,给出了一个清晰、简洁的证明方法。     

关于联立方程计量经济学模型识别概念的探讨

分析了现有计量经济学文献在联立方程计量学模型识别概念的表达上存在的问题，给出了识别概念的确切表述方法，并对识别概念进行了深入讨论。     

专利产出与区域经济增长的动态关联机制分析

运用动态计量经济学的分布滞后模型、单位根检验模型、协整分析模型和Granger因果检验模型,以及专利产出与经济增长数据,对首都区域专利产出与经济增长关联机制进行了动态计量经济实证分析.结果显示:首都地区专利产出与经济增长当前及之后具有两期的关联性,平均来讲,专利产出每增加1%,首都区域经济当年将增长0.4923%,专利产出在3年内共使得经济增长了0.9847%;专利产出增长与GDP增长存在长期稳定的动态均衡关系,但是其对首都地区经济增长促进作用还不够;专利产出是经济增长Granger意义上的原因,但专利产出没有有效地促进首都区域经济增长,二者之间没有形成一种协调互动的反馈机制.     

中长期负荷预测的计量经济学与系统动力学组合模型

电力系统中的长期负荷预测受政治、经济、人口、气候等各种随机因素的影响,单一的预测方法很难提高预测精度。为此,提出一种基于计量经济学和系统动力学的组合方法。首先,利用计量经济学的方法找出电力需求的主要影响因素,在此基础上建立电力需求与其影响因子的计量方程;其次,建立考虑人口、经济及环境的可持续发展的系统动力学电力需求预测模型;最后将人口、经济、电力需求的子系统方程带入系统动力学模型进行预测。实际算例结果表明该方法具有较高的预测精度。     

Crime and regional economic growth in Mexico: A spatial perspective

The aim of this paper is to examine the effects of crime on regional economic growth in Mexico. We estimate a growth model using a spatial panel data model and test for the presence and type of spatial interaction, as proposed by Elhorst. Our results suggest that a two‐way spatial Durbin model best fits the data, crime exerts a negative total effect on economic growth across Mexican states, particularly homicides and robbery, and significant spillover effects seem to reinforce the negative impact on regional growth.