Friends,family, or fools: Entrepreneur experience and its implications for equity distribution and resource mobilization

Who helps entrepreneurs raise the resources they need and how much equity does an entrepreneur distribute in return? We use a sample of 611 entrepreneurs in the U.S. to examine why some entrepreneurs are more likely than others to distribute ownership selectively to helpers. We find that entrepreneurs with specific industry experience and start-up experience are able to provide ownership more selectively and raise more resources from their helpers. We refine the categorization of social ties further to make a distinction between professional and familial ties to show that the ownership distribution and types of resource contributions vary by the mix of ties in the entrepreneur's helper network. Our findings have implications for theories of resource assembly, social structure and entrepreneurship, and organization design.     

流通业发展对农村消费影响的动态演化

本文根据我国1978-2010年的时间序列数据,采用变参数状态空间模型实证分析我国农村流通总量规模、农村集贸市场和流通环境对农村消费的动态影响。研究结果表明,流通业对农村消费的影响有显著的时变性。首先,农村流通总量的单位增长幅度引起的农村消费增长幅度为正向且逐年上升,但是由于我国农村流通业发展缓慢,年平均增长幅度小,使得流通业总量对农村消费增长的贡献率并没有随弹性系数的上升而大幅增加,贡献率在大部分年份中变化不大。其次,农村集贸市场在第一阶段(1978-1995年)对农村消费支出扮演着非常重要的角色;在第二阶段(1996-2010年)随着农民收入的提高和农村流通环境的改善,农村集贸市场对农民消费的影响在逐步减弱。第三,较差的流通环境增加了农民消费的支出成本和降低了消费的预期,对农民消费产生挤出效应;较好的流通环境减少了消费支出的成本和提高了消费的预期,对农民消费产生挤入效应。     

The Effect of China＇s Individual Income Tax on Income Distribution： Based on Different Perspectives and Data from Different Sources

本文以税前后收入份额差距、平均税率作为指标,分别从纳税人与收入的角度对2000—2009年间我国个人所得税的再分配效应与累进性进行了考察。基于公开统计数据的计算表明：就纳税人角度而言,个人所得税在收入分配方面发挥了明显的正效应,而且还呈现出不断加强的累进性。基于学者王小鲁测算的数据所进行的计算则表明：个人所得税的再分配效应与累进性相对较弱,且从收入角度来看,个人所得税反而表现出累退性。有关结论的差异提示,改善征管与统计状况是转向分类综合模式个税,加强个税再分配功能的必要条件。     

关于公有经济收入差别倒U理论的讨论与验证(上)

在经济发展方式逐步从增长型向分配型、从生产型向消费型、从建设型向民生型转变的过程中,回顾和总结学术界关于居民收入分配差别的讨论显然是必要的。文章从多个方面回顾、分析和考察了"公有经济收入差别倒U理论"这一理论模型提出后的争论焦点及演变过程,包括围绕这一理论所讨论的主要内容,比如有关公有制经济与私有制经济条件的比较分析,有关劳动差别、劳动供求、剩余/生计比以及农村收入差别大于城镇差别等两部门内部各种因素的趋势、二元结构部门转换影响收入差别的讨论,有关国有资本积累及改革引起的民营资本积累、税收政策和体制改革对收入差别变动趋势的影响的讨论,以及这一理论在中国的验证等。分析表明,目前中国居民收入差别还在沿着公有经济收入差别倒U曲线的前半段逐步呈"阶梯形"上升,但上升的势头已经趋缓,并且个别方面比如城市化等因素导致的收入差别已经初现下降趋势。     

分配承诺、产权与经济效率

在政府分配的承诺可置信时,地方政府分权竞争的结果是资方获得了最大利益,而劳方的利益被忽视了。而当政府分配的承诺不可置信时,资方的投资生产激励会受到较大的削弱,社会福利会受到较大损害。关于中国经济增长奇迹的经济解释,文章认为:在改革开放初期,中性政府对经济增长起到了很重要的作用;而随着改革开放的深入,地方政府分权的竞争激励机制可能起到了更为重要的作用。产业结构与产权保护有着密切的关系,要使产业结构完成升级,拥有良好的产权保护制度是一个重要条件。针对地方政府分权竞争带来的问题以及承诺可置信性缺失,文章引入第三方规制和以权力配置作为一种可信承诺等两种解决途径,并指出了其不足之处。     

初次收入分配与技术进步——基于马克思主义经济学的视角

生产力概念的深化对于马克思主义的发展非常重要,考察初次收入分配与技术进步之间的关系是一个可行的切入点。在税收收入占比保持不变的情况下,劳动收入占比的下降意味着资本收入占比的上升。劳动收入占比的下降缩小了消费市场规模而抑制技术进步(消费效应),资本收入占比的提高使得企业技术投资面临更少的融资约束而促进技术进步(融资效应),初次收入分配与技术进步之间可能呈现出无关、线性或者倒U型关系,其具体关系要视消费效应和融资效应的相对强弱而定。基于中国省际面板数据的实证分析发现,中国初次收入分配与技术进步之间的关系呈现出倒U型关系,存在一个最有利于技术进步的初次收入分配格局,意味着当前需要同时保护劳动和资本的权利。     

中国绿色创新指数的分布动态演进与区域差异

研究目标:编制中国绿色创新指数,考察各区域指数的分布动态、区域差异及空间收敛特征。研究方法:建立绿色创新指数评价体系、采用时空极差熵权法赋权指标,利用世界知识产权组织绿色专利清单在线检索工具和采用爬虫技术检索、匹配、汇总国家知识产权局绿色专利数据,采用社会网络分析法(Social Network Analysis, SNA)测度绿色技术创新辐射力,采用Kernel估计分析绿色创新分布动态演进,采用Dagum基尼系数分解东中西绿色创新空间差距来源,采用空间杜宾模型考察绿色创新空间β条件收敛特征。研究发现:我国整体及东中西各地区绿色创新水平均呈总体上升趋势,源于绿色技术创新能力、绿色技术创新辐射力与绿色创新制度支撑力三者“携手并进”;绿色创新水平较高的城市集中分布于经济发达地区并具有较高行政级别特征,北京、深圳、上海、广州及主要省会城市稳居前列;我国整体及东中西地区核密度图均呈现“曲线右移、峰值先升后降、宽度收窄后扩大”的特征;东中西区域内部及区域间差异均呈逐渐下降趋势;绿色创新存在空间β条件收敛效应,且俱乐部收敛特征也较为显著,但在不同空间权重矩阵、不同地区样本中收敛速度存在差异。研究创...     

Investigating the impact of demand amplification on freight transport

Despite freight transport operations being influenced by supply chain dynamics, there has been only a very limited investigation into the impact of demand amplification on this function, with almost no analytical research. This paper aims, through spreadsheet simulation of a generic production control system, to quantify the impact of demand amplification on transport performance. Performance measures evaluated include both transport cost and efficiency. The results in general find a negative relationship between transport performance and demand amplification. It is also found that the ratio of vehicle capacity to average demand affects these results.     

Performance effects of innovation in two-sided markets: The paradigmatic case of OTAs

Online Travel Agents (OTAs) play an important intermediary role in the two-sided travel distribution market. A critical factor that enhances a firm's competitive advantage is innovation. Yet, the analysis of innovation in the OTA context is scarce. The main objective of this article is to fill this gap and examine the effect of OTA innovations on firm performance. We analyze the effect of two-sided market specific innovations (same-side and cross-side) on performance and contribute to the literature by expanding the theoretical understanding of innovations. We find that producer-to-consumer innovations have a greater effect on OTA performance than producer-to-producer and consumer-to-consumer innovations. A fundamental managerial implication is that exchange management is an area to be enhanced when innovating in travel market distribution.     

M5 competition uncertainty: Overdispersion,distributional forecasting,GAMLSS, and beyond

The M5 competition uncertainty track aims for probabilistic forecasting of sales of thousands of Walmart retail goods. We show that the M5 competition data face strong overdispersion and sporadic demand, especially zero demand. We discuss modeling issues concerning adequate probabilistic forecasting of such count data processes. Unfortunately, the majority of popular prediction methods used in the M5 competition (e.g. lightgbm and xgboost GBMs) fail to address the data characteristics, due to the considered objective functions. Distributional forecasting provides a suitable modeling approach to overcome those problems. The GAMLSS framework allows for flexible probabilistic forecasting using low-dimensional distributions. We illustrate how the GAMLSS approach can be applied to M5 competition data by modeling the location and scale parameters of various distributions, e.g. the negative binomial distribution. Finally, we discuss software packages for distributional modeling and their drawbacks, like the R package gamlss with its package extensions, and (deep) distributional forecasting libraries such as TensorFlow Probability.