Inter- and intraregional inequality in a spatial economy

In this paper, we develop a three-region economic geography model with workers of heterogeneous skills and mobility rates to consider how first-nature, regional differences impact both inter- and intraregional inequality. In our model, the skill premium within a region summarizes both the degree of intraregional inequality between mobile, skilled workers and immobile, unskilled workers and the interregional inequality through differences in the welfare of unskilled workers across regions. Regions with the highest skill premium have the greatest degree of intraregional inequality and provide the lowest level of welfare to unskilled workers, relative to other regions. We find that the skill premium will be higher in regions with a greater supply of unskilled labor, lower supply of housing, or are more remote. An increase in a region's housing supply or centrality will lower intraregional inequality and raise the welfare of the local, unskilled workforce. However, the magnitude of these changes are declining in the initial number of skilled workers in the region. The model is extended to consider imperfectly elastic housing supply. The larger the price elasticity of housing, the larger the range of values, such that more populated regions will host a disproportionate share of skilled workers, have lower levels of intraregional inequality, and provide higher levels of welfare for unskilled workers.     

Lobbying after 9/11: Policy Regime Emergence and Interest Group Mobilization

Does the emergence of a new boundary‐spanning policy regime shift the focus of well‐established organized interests, or does it mobilize new ones? In this article, I show that interest groups with a presence in Washington before 9/11 rapidly—but temporarily—shift their attention to the homeland security issues. Established groups' entrenchment in antecedent subsystems appears to buffer against widespread policy disruption and interest upheaval. However, a new set of previously latent groups opportunistically mobilizes after the regime is institutionalized. Newly mobilized groups replace those that retreat back to the regime's antecedent subsystems. Though the policy regime fails to resolve the jurisdictional turf conflicts that triggered its creation, the institutionalization of homeland security generates its own original, distinct government demand for lobbying. Interests that previously had no business in Washington before 9/11 took advantage of the new opportunities the regime offered without supplanting interests established long before the Department of Homeland Security and its congressional committees existed.     

明清松江府棉布产量与市场销售问题新探

明清时期,松江府是全国的棉纺织业中心。从劳动生产率、劳动时间和劳动力数量等角度考察,明代晚期,松江府棉布产量最多为1575万匹,外销量最多为1305万匹;清代中叶产量最多为3000万匹,外销量在2600万匹左右。明代“松江棉布,衣被天下”,只是市场有效需求不足的结果。清代松江棉布销售区域大大压缩,并不是市场竞争的结果,而是基于其生产能力、运输成本以及与外地经济联系的结果。     

计量经济分析方法在国外旅游研究中的应用——基于ATR和TM所载文献的统计分析

本文对国外旅游界最具影响力的两大旅游研究刊物Annals of Tourism Research（ATR）（1974—2005）和Tourism Management（TM）（1980—2005）中运用计量经济分析方法的122篇文献进行了全面回顾。在对计量经济分析方法的构成情况及应用领域进行统计分析的基础上,对其在国外旅游研究中的应用演进情况做了归纳和概括。研究发现,计量经济分析方法正逐渐成为国外学者进行旅游研究的主要手段之一,其中回归模型、时间序列模型和面板数据模型是最常用的手段;方法的应用主要集中在旅游需求研究方面,其次是旅游产业与环境关系研究、旅游供给研究。从研究方法的应用演进来看,经过30多年的发展,从静态的零星运用到比较系统的、动态的多种方法的整合运用,计量经济分析方法在旅游研究中的应用日渐成熟。     

Russia's Energy Policy, 1992-2005

A team comprising a former Russian policymaker and American analysts of the current Russian energy policy examines the course of that policy and its limitations during the post-Soviet period. In the process, they critically analyze key problems in Russia's oil, gas, coal, and electricity sectors that represent a potential drag on growth of the entire Russian economy and at the very least call into question the sustainability of further increases in exports to the West. The authors explore in considerable depth and detail both the factors underlying the recent increase in government intervention in the energy sector and the likely consequences for domestic production, consumption, resource security, and critical exports. Journal of Economic Literature, Classification Numbers: L71, O13, Q40, Q48. 11 figures, 3 tables, 29 references.     

我国文化遗产保护科技成果转化对策研究——基于文化遗产保护科技成果供求分析

进入"十二五"后,文物保护领域面临着新的发展形势。其中,科学和技术成果转化问题受到了高度关注,成为当前文化遗产保护领域的一大热点问题。目前,由于我国文化遗产保护科技成果转化的特殊性和相关领域科技事业发展的阶段性,文化遗产保护科技供给与需求脱节,科技成果转化率不高。针对这种状况,国家应建立激励评价体制,促进文博系统内外的合作,保证科技成果的有效供给和有效需求。     

城市居民休闲度假旅游需求实证研究——以南京为例

我国旅游业正在从观光游览型向休闲度假型转变。运用数理统计分析方法,以南京为例探析对城市居民休闲度假旅游需求进行研究。研究发现偏爱休闲度假的居民在旅游资源喜好、旅游活动偏好、购买行为、信息来源渠道、出游方式等方面与一般居民有着明显差异。据此探讨休闲度假产品的开发,分析未来的休闲度假旅游发展趋势,并提出相应的休闲度假旅游产品开发对策与建议。     

北京中低收入社区育儿人群的服务设施需求研究

服务设施需求分析是建设社区生活圈和完整社区的基础。已有研究关注服务设施供给的空间配置或评价,对服务设施需求的研究并不多见,尤其缺少对育儿人群等细分人群的研究。本文以此为切入点,讨论在二孩政策和年轻人少子化观念影响下,社区应当给予育儿人群什么样的服务设施支持。基于2017年北京公平与包容调查问卷数据,本文采用有序多分类模型分析中低收入社区居民对教育、医疗等10类设施的需求偏好。结果显示育儿人群对各类设施的需求和访问频率都超出其他人群,且相关需求存在性别差异;二孩家庭对服务设施的依赖性强于独生子女家庭,且因子女处于不同年龄段的家庭需求也有所差异。最后,本文提出了育儿人群所需服务设施的分类体系,以期为精细化社区服务设施规划提供参考。     

日本出国旅游需求与人均GDP关系实证研究——兼议对我国出境旅游发展的启示

首先,基于日本1964年～2008年出国旅游相关数据,得到日本出国旅游量的收入弹性,发现日本在人均GDP（按当年价格计算）达到2000～4000美元时,出国旅游呈现爆发性增长。其次,与我国的出境旅游进行对比研究,发现我国在现价人均GDP达到3000美元时,并未出现出境旅游爆发性增长的迹象。同时,研究发现,在北京和上海人均GDP达到3000美元以上时,出境旅游呈现爆发性增长,而广州人均GDP高达8000美元以上时,出境旅游才呈现爆发性增长。     

SPACE–TIME MEASURES OF DEMAND FOR SERVICE: BRIDGING LOCATION MODELLING AND ACCESSIBILITY STUDIES THROUGH A TIME‐GEOGRAPHIC FRAMEWORK

Demand for service in location modelling is often evaluated based on the spatial proximity of fixed and static reference locations of demand (e.g. home) to a facility, which ignores person‐specific activity–travel patterns and the temporal changes in demand for service throughout the day. To address these limitations, this study draws upon recent developments in space–time measures of individual accessibility to explore the spatial and temporal structures of demand by considering individuals' space–time constraints and impact of existing urban structures. Based on a time‐geographic framework, eight space–time demand measures were developed and compared with three conventional location‐based demand measures for 12 hospitals through an empirical study conducted in Columbus, Ohio. The results show that geographic proximity between clients' home and facilities may not be an effective indicator for service demand, and conventional demand measures tend to underestimate potential demand for service in most situations. The study concludes that space–time demand measures that take into account people's activity‐travel patterns in space–time would lead to better estimation of demand for service in most cases.