创新要素集聚、政府支持与科技创新效率——基于省域数据的空间面板计量分析

本文运用空间面板计量方法研究了创新要素集聚、政府支持与科技创新效率之间的关系。实证研究的结果表明:我国科技创新效率具有明显的空间相关性。创新要素集聚对于科研机构创新效率具有负影响,对于高校的影响不显著,而对于企业的影响为正。政府支持对于科研机构和高校创新效率的影响具有不确定性,而对于企业具有负影响。制度因素对于科研机构和高校创新效率没有明显影响,而对于企业具有明显的正影响。人力资本对于高校和企业创新效率具有正影响。FDI因素对于企业创新效率具有正的外溢效应。因此,政府需要通过对人力资本的知识和健康投资,提高人力资本的质量,才能实现更快的创新产出和经济增长。     

The house price determination process: Rational expectations with a spatial context

Applying the rational expectations hypothesis, this essay models the current value of a house as the conditional expectation of the discounted stream of housing services accruing to the owner of the house. The value of housing services is determined by neighborhood effects as well as the physical attributes of the property itself. In the existing hedonic literature, future transactions have not been utilized to describe neighborhood effects. The rational expectations asset pricing model in this study accounts for expected future neighborhood effects as well as observed current neighborhood effects. The reduced form of the rational expectations model is a spatial autoregressive (SAR) model with two spatial lags. After employing the generalized method of moments (GMM) in estimating the spatial asset pricing model, I find that both expected future transactions and prior transactions in the neighborhood are significant. The inclusion of expected future transaction prices in the neighborhood takes into account the influence of expected changes in the community and factors these potential changes into the current house price. This is consistent with forward-looking households. The forward-looking model generates superior out-of-sample prediction performance relative to both the conventional hedonic model without considering neighborhood effects or the standard spatial hedonic model including only past transactions.     

Who votes for public environmental goods in California?: Evidence from a spatial analysis of voting for environmental ballot measures

Voting referenda provide direct evidence of the demand for public goods. A number of previous studies have used referenda to analyze the support for public environmental goods. These studies have used aggregate data from large jurisdictional units (usually counties) and summary income measures such as the mean or median, and have usually found that higher income areas offer greater support for environmental propositions. We examine environmental referenda voting in California using census block group data, spatial dependence controls, and detailed income distribution data. We find that household income has a negative marginal effect on environmental referenda voting for most of the income range when using census block data. In addition, controls for spatial dependence significantly reduce the magnitude of most coefficients. This suggests that OLS estimates of referenda determinants are biased. We also show that county level data may be subject to severe aggregation bias and might not be appropriate for referenda studies.     

Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer

This paper presents a simulation-based modelling approach for estimating total visitor numbers and amenity values for prospective non-priced open-access outdoor recreation sites. To begin, the geographic extent of the market for recreation at a policy site is estimated using data from a similar study site. The population residing within this geographic area is simulated using a spatial microsimulation model and GIS techniques and an individual-level ‘visitor arrival function’ is then transferred across this simulated population. This allows the latent demand for visits to the policy site by each simulated individual to be predicted and summed, providing an estimate of the total potential demand for recreation at the site. Combining this with an economic value measure of a visit provides an estimate of the potential amenity value of the policy site. The approach is applied to Moyode Wood, a small-scale forest in the West of Ireland, and estimates the potential total economic value of recreation at €0.4 million for the site. The research represents the first time that spatial microsimulation has been used in environmental benefit transfer and shows how it can be used to control for differences in demographic and spatial factors between study and policy sites. It also demonstrates how individual-level single-site travel cost models estimated using on-site survey data can be used to predict demand at alternative policy sites.     

Accounting for the ecosystem services of migratory species: Quantifying migration support and spatial subsidies

Migratory species support ecosystem process and function in multiple areas, establishing ecological linkages between their different habitats. As they travel, migratory species also provide ecosystem services to people in many different locations. Previous research suggests there may be spatial mismatches between locations where humans use services and the ecosystems that produce them. This occurs with migratory species, between the areas that most support the species' population viability - and hence their long-term ability to provide services - and the locations where species provide the most ecosystem services. This paper presents a conceptual framework for estimating how much a particular location supports the provision of ecosystem services in other locations, and for estimating the extent to which local benefits are dependent upon other locations. We also describe a method for estimating the net payment, or subsidy, owed by or to a location that balances benefits received and support provided by locations throughout the migratory range of multiple species. The ability to quantify these spatial subsidies could provide a foundation for the establishment of markets that incentivize cross-jurisdictional cooperative management of migratory species. It could also provide a mechanism for resolving conflicts over the sustainable and equitable allocation of exploited migratory species.     

基础设施、拥挤性与城市生产率差异——来自中国267个城市市辖区数据的实证研究

针对我国城市空间结构和劳动生产率差异明显的现状,对我国267个地级城市的基础设施情况进行指标评价,并根据评价结果实证分析了基础设施水平、城市拥挤性对城市生产率的影响。研究结果表明,基础设施和就业密度对我国城市生产率的积极作用,同时两者的合力对城市生产率具有较强的驱动作用。     

产业转移的新经济地理学解释

不同于传统的产业转移理论,新经济地理学在规模报酬和垄断竞争框架下解释了产业转移现象,认为产业转移的基础不必然是第一自然的差异,在完全相同的均质空间下,由于市场接近效应、生活成本效应和市场拥挤效应所构成的集聚力和扩散力的相互作用,产业转移也会发生,并且表现出突发性、自我强化、预期自我实现和价值链环节分离的特性及关联度弱的产业先转移等规律。此外,新经济地理学还运用一般均衡分析方法考察了产业转移的福利效应,包括瓦尔拉斯效应、生产租金和规模区位效应、累积效应以及转移效应,并对影响产业转移的税收优惠竞争、公共基础设施改善和区域补贴等政策措施的效果进行了剖析。     

集聚经济一定有利于产业国际化吗——基于中国省域制造业的实证分析

本文运用我国29个省份制造业19个二位数行业2005—2008年的面板数据实证分析了产业集聚效应对产业国际化的影响以及这一影响与行业特性、区域特性的关系。研究结果显示:从总体样本来看,专业化经济对产业国际化具有显著正影响;而竞争效应和多样化集聚效应对产业国际化具有负效应。不同行业的影响方向、大小及机理与行业特性高度相关;专业化集聚对资本密集型产业和高技术密集型产业国际化的正效应要大于劳动密集和中低技术密集型产业,劳动密集型产业和中低技术密集型产业的集聚已经出现一定程度的劳动拥挤效应。     

区域技术创新及其影响因素的空间计量分析

利用空间统计的Moran指数和空间截面数据模型,对影响我国区域技术创新的因素进行计量分析。结果表明：区域创新环境对我国区域技术创新为显著的负效应;大学和创新企业对我国区域技术创新有显著的促进作用;研究机构对我国区域技术创新没有显著的贡献;创新企业对提高技术创新能力的贡献最大。