Gentrifier? Who,Me? Interrogating the Gentrifier in the Mirror

Schlichtman and Patch suggest that there is an elephant sitting in the academic corner: while urbanists often use ‘gentrification’ as a pejorative term in formal and informal academic conversation, many urbanists are gentrifiers themselves. Even though urbanists have this firsthand experience with the process, this familiarity makes little impact on scholarly debate. There is, Schlichtman and Patch argue, an artificial distance in accounts of gentrification because researchers have not adequately examined their own relationship to the process. Utilizing a simple diagnostic tool that includes ten common aspects of gentrification, they compose two autoethnographic memoirs to begin this dialogue.     

The design of light-handed regulation of airports: Lessons from experience in Australia and New Zealand

The difficulties experienced with traditional forms of economic regulation of airports involving direct control of prices have led to an interest in light-handed regulatory frameworks. Experience with light-handed regulation of airports is primarily confined to Australia and New Zealand. The paper examines the design features of light-handed regulation in Australia and New Zealand in relation to the stated objectives associated with the introduction of light-handed regulation. The paper identifies important aspects associated with the design of light-handed regulation including the incorporation of a credible threat of stronger regulation and the characteristics of this, and an apparent trade-off in objectives achieved with different approaches to light-handed regulation.     

匹配式管理模式在汽车城规划建设中的探索与应用

针对两江国际汽车城规划建设中招商引资困难的问题,结合两江国际汽车城的实际情况、资源条件以及发展趋势,设计了匹配式管理模式.在阐述匹配式管理模式内涵基础上,对匹配式管理体系的组成要素、框架结构、匹配关系等进行了分析,并对该管理模式在实际中的应用效果及推广意义进行了总结.     

The effects of capacity reduction policy under the interest rate peg in China

Capacity reduction has been a recurrent theme in China's economic policy. The central government takes various administrative measures to remove excess capacity, accumulated mainly due to underpriced production factors and distorted incentives. I evaluate the de-capacity policy in a series of models and prove that its effects depend critically on its persistence and monetary policy regime. Under an interest rate peg, a transient policy that changes markup temporarily is ineffective and even expansionary, whereas a persistent policy is effective due to a negative wealth effect. A permanent de-capacity policy can lead to over-reactions in macro variables because the interest rate peg adds positive feedback to the economy. Therefore, the de-capacity policy has greater uncertainty under the interest rate peg. As a policy tool, it easily deviates from its target and brings about excessive volatility. However, long-run price stability and a gradually advanced de-capacity policy are conducive to the achievement of policy targets.     

高管过度自信、研发投入跳跃与企业绩效——来自中国上市公司的经验证据

基于间断平衡理论和高阶梯队理论，以2007-2017年中国沪深两市902家制造企业为样本，实证分析研发投入跳跃对企业绩效的影响以及高管过度自信的调节作用。结果显示：研发投入正向跳跃和负向跳跃均有助于提升企业绩效，高管过度自信正向调节研发投入跳跃与企业绩效间的关系。引入高管过度自信这一重要高管特征作为调节变量，有助于重新认识管理者心理偏差对企业创新行为和绩效的影响，较好地弥补了研发投入跳跃对企业绩效影响机制的研究空缺，丰富了创新间断平衡理论研究。研究表明，企业应重视高管心理特征的影响并结合自身实际情况，合理选择研发投入策略以改善企业绩效。     

Individual stock sentiment beta and stock returns

Using the data in Chinese stock market, we measure the individual stock sentiment beta, which is defined as the sensitivity of individual stock returns to the individual stock sentiment changes. We demonstrate that stocks in the highest individual stock sentiment beta portfolio have significantly higher excess returns, CAPM alpha, Fama-French three-factor alpha and Fama-French five-factor alpha. Besides, we find that the high individual stock sentiment beta stocks are smaller, younger, more volatile stocks with higher price and higher market beta. After controlling for firm characteristic, the returns of High-Low individual stock sentiment beta portfolios are still significantly positive. Moreover, we show the effect of the individual stock sentiment beta on stock returns is positive and significant in different stock markets, in different sample periods, and in bull and bear market. Besides, the results of the Bayes-Stein individual stock sentiment beta are still stable.     

金融发展、企业创新与经济增长

本文通过在一般均衡模型中引入银行部门,考察了金融发展对企业创新和经济增长的影响。基于模型的理论分析表明,在均衡状态下,金融发展可以提高经济中储蓄向投资转化的效率、缓解信息不对称,有效降低了研发部门的外部融资成本,从而促进企业增加研发投入,并推动经济实现更高速的增长。在此基础上,本文以中国31个省份2008—2016年的面板数据对上述结论进行了实证检验,相关结果表明:(1)金融发展对企业研发投入具有显著的促进效应;(2)在工业化程度、外商投资水平较高的地区以及政府支出水平较低、人才资源相对短缺的地区,金融发展的促进作用更加明显;(3)企业研发创新可以有效推动经济增长,且在金融支持实体经济中发挥了重要的中介作用。本文的理论和实证分析揭示了“金融发展—企业创新—经济增长”的内生性传导机理及其在中国的体现,从而为金融支持创新型经济增长的改革逻辑奠定了初步的理论和经验基础。     

Effects of Firm Size,Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach

As documented in the literature, the effects of firm size, financial leverage, and R&D expenditures on firm earnings are inclusive. Our hypothesis is that the inconsistent empirical results of such effects may be driven by the regression models implemented in data analysis. Using the quantile regression (QR) approach developed by Koenker and Basset (1978), this study analyses S&P 500 firms from 1996 to 2005. We find that the effects of firm size, financial leverage and R&D expenditures on firm earnings differ considerably across earnings quantiles. Comparing the results from the QR approach with those from the ordinary least squares (OLS) and least absolute deviation (LAD) methods, this study further explains the puzzling relationship between firm size, financial leverage, R&D expenditures and firm earnings.     

Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.