Transformer in navigation: Diverse government roles for open innovation in China's high-speed rail

Based on a longitudinal case study of China's high-speed rail embedded in the emerging economy context, we focus on what role the government plays and how that matters to open innovation (OI) for competitive advantage. By linking the OI literature with the national political institutions literature to motivate our research question, we propose a statist-based OI view to differentiate diverse government roles, investigating how government adopts roles in a combined way to push OI in stages. Our findings suggest that government is an important strategic decision-maker for OI. Specifically, the government plays various roles as commander, protector, cultivator, and intermediator, reflecting state activism derived from national political institutions, to construct institutional-level OI for domestic OI activities, and inbound and outbound OI across national borders. We find government can deliberately and strategically use its diverse roles in a combined way to push OI for competitive advantage through the industrial evolutionary process over time. Our study contributes to the OI literature and integrates the strategic management literature with the study of OI to provide new insights to explain the origins of competitive advantage from the state perspective.     

1930年代沪上文坛独特的“新感觉”--南洋华侨作家黑婴的“乡愁”书写

史称“新感觉派”后起之秀的黑婴是唯一一位跻身于1930年代中国主流文坛的南洋华侨作家。这位生于荷印棉兰，长于广东梅县，深造于“魔都”上海的新一代南洋华侨，在“民国时态”浓郁的南洋氛围中登陆沪上文坛。在此跨文化的激烈碰撞与深度融合中，黑婴经由“乡愁”的激发与引领，讲述了新一代南洋华侨青年的苦难、迷惘以及艰难的蜕变。今天看来，这种包含着独特生命体验和丰富历史痛感的文化乡愁，正是南侨作家黑婴在“华文文学”和“海派文学”的脉络之外，贡献给中国现代文学真正而独特的“新感觉”。     

Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery

Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics‐related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization‐based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well‐being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy‐related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards.     

Heteroscedastic Global Tests that the Regression Parameters for Two or More Independent Groups are Identical

Simulation results are reported on methods that allow both within group and between group heteroscedasticity when testing the hypothesis that independent groups have identical regression parameters. The methods are based on a combination of extant techniques, but their finite-sample properties have not been studied. Included are results on the impact of removing all leverage points or just bad leverage points. The method used to identify leverage points can be important and can improve control over the Type I error probability. Results are illustrated using data from the Well Elderly II study.     

君主专制与政治抵制:早期现代英国法律语境中的《复仇者悲剧》

英国自都铎王朝后期至斯图亚特早期，立宪君主论或混合君主论者抵制君权神授论，坚持家庭是一个自治的、涉及臣民私人权益的小政府，受到自然法、古代宪法或神圣法的保护。《复仇者悲剧》中公爵王室言行映射詹姆士一世在《皇家礼物》中所宣扬的君权神授论，温迪斯兄弟俩及追随者的复仇隐含当时的政治抵制学说，公爵王室与温迪斯兄弟俩的对立象征君权神授论与普通法理论的对峙。温迪斯兄弟俩却以威胁新君为由被处死，司法斗争简约为复仇冲动，维权英雄陡变为暴徒，暴君化身为明君，这暴露出君权神授论的悖论性和剧作家含混的复仇伦理。     

Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.     

A class of symmetric bivariate uniform distributions

A class of symmetric bivariate uniform distributions is proposed for use in statistical modeling. The distributions may be constructed to be absolutely continuous with correlations as close to±1 as desired. Expressions for the correlations, regressions and copulas are found. An extension to three dimensions is proposed.     

客户生命周期模式研究

客户关系具有周期性,可划分为考察期、形成期、稳定期和退化期四个阶段.交易额和客户利润被选作特征变量来描述客户关系水平,理论分析表明:两者均随生命周期阶段的发展而不断提升,考察期最小,形成期次小,稳定期最大.实证研究检验了该结论的正确性.根据客户关系退出时所处的阶段,客户生命周期模式被分成早期流产型、中途夭折型、提前退出型、长久保持型四种基本类型,每种类型均有不同的成因.     

土家族的机智人物故事

机智人物故事是民间故事中的特殊类型,是以一个机智人物为中心所形成的系列故事,有着不同于一般生活故事和民间笑话的审美特征。土家族机智人物故事有着流传空间相对稳定,主人公因地而异的特点,体现着平衡心理的重要社会功能。     

On the Convergence of the Monte Carlo Maximum Likelihood Method for Latent Variable Models

While much used in practice, latent variable models raise challenging estimation problems due to the intractability of their likelihood. Monte Carlo maximum likelihood (MCML), as proposed by Geyer & Thompson (1992 ), is a simulation-based approach to maximum likelihood approximation applicable to general latent variable models. MCML can be described as an importance sampling method in which the likelihood ratio is approximated by Monte Carlo averages of importance ratios simulated from the complete data model corresponding to an arbitrary value of the unknown parameter. This paper studies the asymptotic (in the number of observations) performance of the MCML method in the case of latent variable models with independent observations. This is in contrast with previous works on the same topic which only considered conditional convergence to the maximum likelihood estimator, for a fixed set of observations. A first important result is that when is fixed, the MCML method can only be consistent if the number of simulations grows exponentially fast with the number of observations. If on the other hand, is obtained from a consistent sequence of estimates of the unknown parameter, then the requirements on the number of simulations are shown to be much weaker.