中国制造业集聚的实证研究：基于企业规模异质性视角

本文基于中国制造业集聚的数据,从企业规模异质性视角出发,检验中国制造业集聚经济效应。首先考察影响制造业集聚的一般因素,然后重点考察了企业规模因素对集聚经济的影响机制。研究发现：除了运输成本优势、劳动力成本等影响制造业集聚的一般因素之外,企业规模异质性也对集聚经济效应产生影响。最后通过构造隐含企业规模因素的集聚经济新变量,对企业规模异质的集聚经济效应进行检验。本文的研究发现,小型企业的专业化经济和竞争效应大于大中型企业。这一结论不仅反映了不同规模企业对制造业集聚影响的差异,也说明了小型企业对制造业集聚的重要性。     

政府合理规模的构建

政府规模扩张根本上源于行政权的膨胀和外部环境的需要。合理政府规模应是政府、市场和第三部门的互强,并根据市场经济的发展、现代社会管理的需要适时调整。仅从经济因素的视角,其应体现在简化模型中的成本最小和收益最大的结合点上。     

Effects of cohort size on college premium: Evidence from China's higher education expansion

In this paper, we document the lesser-known heterogeneous trends of college/non-college earnings premium across age groups from 1995 to 2013 in China. Specifically, the college premium in 2013 for the younger group (age 25–34) was about 30 percentage points, similar to the level in 1995, while the college premium in 2013 for the older group (age 45–54) increased to 50 percentage points, nearly double that of 1995. To attribute these divergent trends of the college premium to the changes in the relative size of college workers, we use the model by Card and Lemieux (2001), which incorporates imperfect substitution between similarly educated workers in different age cohorts. Due to the distinctions of these trends in China, our identification is free of the overestimation issue that the existing studies suffer. Our results are similar to those in the U.S., U.K., Canada, and Japan. Holding the age cohort and survey year constant, a one unit increase in log relative size of college workers is associated with about 10 percentage points decrease in college/non-college premium and about 18 percentage points decrease in college/high school premium. We further find that the negative effect is much more substantial among the new entrants (age 25–29) than experienced workers (age 30–54). By this pattern, we demonstrate that the new labor market entrants are more sensitive to their own cohort size and argue that the confounding ability composition effect should not be a serious issue.     

Does default point vary with firm size?

This article aims to improve the predictive ability of KMV model by distinguishing firm size. The evidence suggests that default point would vary with firm size. Using the method of particle swarm optimization, we obtain the optimal default point separately for large firms and small firms. Several statistical tests such as the model confidence set methodology show that our relatively tractable model is more likely to have the strongest predictive ability.     

东部地区十省市规模以上工业企业研发投入绩效评价

选取2021年度数据，采用数据包络分析（DEA）方法对中国东部地区10个省份规模以上工业企业的研发投入绩效进行评价，并采用灰关联分析方法分析确定各项研发投入产出指标相对于DEA效率的灰色关联度。研究结果表明，80%的省份规上工业企业研发投入产出处于非DEA有效状态，存在不同程度的投入冗余或产出不足；规上工业企业发明专利申请数与研发投入产出效率的关联度最高，其次是新产品销售收入和R&D经费内部支出。     

Tick size and market quality: Simulations based on agent‐based artificial stock markets

This paper investigates the way that minimum tick size affects market quality based on an agent‐based artificial stock market. Our results indicate that stepwise and combination systems can promote market quality in certain aspects, compared with a uniform system. A minimal combination system performed the best to improve market quality. This is the first study to analyse tick size systems that remain at the theory stage and compare four types of system under the same experimental environment. The results suggests that a minimal combination system could be considered a new direction for market policy reform to improve market quality.     

Agricultural productivity growth in Brazil: Large and small farms excel

The long-standing debate on the relationship between farm size and productivity has been generally limited by the range of farm sizes evaluated and the definition of productivity. In this paper we use data from three Brazilian agricultural censuses to address these issues. In particular, we introduce a wider distribution of farm sizes than presently available from the literature and we employ total factor productivity (TFP) as our performance measure. In doing so, we test which farm size class had the highest TFP levels in 1985 and 2006, how factor productivity growth varied within and across farm size classes between those years, and which policy or factor had the greatest productivity enhancing effect. When examining TFP growth, we move beyond the common decomposition into technical and efficiency changes by identifying the complete distribution of farm productivity performances. We find that by 2006 a U-shaped distribution of productivity over farm sizes had emerged. Considerable 1985–2006 TFP growth differences are prevalent; positive rates for the majority accompany stagnant or negative rates for some. Public education investments were associated with faster productivity growth regardless of farm size, while technical assistance’s positive effect and credit’s negative effect were associated with larger farm sizes. The role of specialization varied by size.     

For green or not for green? The effect of cooperation goals and type on environmental performance

Although many scholars have demonstrated that companies engaged in collaborations achieve better environmental performance than other companies, existing studies have not analyzed in depth whether this effect changes considering the characteristics of cooperation. Our paper aims to explore whether collaboration with other companies always has a positive effect on environmental performance or whether it depends on cooperation goals, collaboration type, or company size. Empirical analysis based on a sample of 773 European companies demonstrated that an external source of knowledge is an important way to foster firms' environmental proactivity, especially when environmental goals are shared at the basis of collaboration. Second, we verified that companies involved in JVs with environmental goals achieve greater environmental performance than companies that use M&As to acquire external knowledge. Finally, we demonstrated that it is more important for small companies to be involved in environmental collaboration than larger ones.     

BEYOND THE STARS

It is frequent to hear in economic seminars or read in academic papers that an effect is economically significant or economically important. Yet, the economic literature is vague on what economic importance means and how it should be measured. In this paper, I show that existing measures of economic importance are flawed and misused. I derive a new metric that measures, in percentage terms, the contribution of each explanatory variable to deviations in the dependent variable, ceteris paribus. As an illustration, the method is applied to study the determinants of migration and the determinants of fertility.     

The Influences of Portion Size,Context and Package Characteristics on Snack Food Consumption: Evidence from a U.S. Rolling Cross-Sectional Survey

Using a rolling cross-sectional sample of over 40,000 U.S. snack food consumers during 2004–2010, we build a three-dimensional model to study how portion sizes, consumption context, and package characteristics jointly affect the amount of food consumed. As with prior research, we find that consumption does increase with larger portions. However, this effect diminishes significantly when accounting for the consumption context and packaging characteristics as consumption drivers. Most important is how the snack is presented to consumers at the point of consumption (type, size, and quantity of packages). We also find that snacking on impulse, alone, with a beverage, or while watching television increases the amount consumed, whereas socializing or snacking at home decrease consumption. We test our model over seven snack types (potato chips, crackers, cheese puffs, nuts and seeds, tortilla chips, pretzels, popcorn), and find that our results hold even for products with different cross-category granularity, palatability, and satiety.