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Productivity and efficiency: Do we need a bridge?
DOI:10.1016/j.ijpe.2024.109287.png)
摘要
En 中文
The paper focuses on comparing two popular approaches to estimating firm production technology: the proxyvariable method and the stochastic frontier (SF) analysis approach. We show that although the economic interpretations of productivity and efficiency are not the same, the difference between them is not fundamental and even trivial as far as the estimation techniques are concerned when the same structural framework is assumed. By showing the connection and comparing the difference between these two methods, this paper is aimed at building a bridge to connect these two strands of literature. In addition, we provide the SF audience with a new estimation method, i.e., the modified proxy -variable method, with its advantages in handling the endogeneity issue, along with a new way to estimate technical inefficiency. We examine their finite sample performance using Monte Carlo simulations. In the empirical section, we compare the proposed estimator with the conventional MLE SF estimator using Chinese manufacturing firms in the computer and peripheral sector over the period 1998 to 2007. We find that the estimates from our method are more reasonable in explaining the production behavior of these firms, and firms' technical inefficiency levels are highly persistent over time.
Keyword:
Productivity and efficiency
Proxy-variable method
Stochastic frontier model
Productivity/inefficiency determinants
期刊
IF:
10
论文数:
8.0K
被引数:
3.6W
机构
引用论文
What you import matters for productivity growth: Experience from Chinese manufacturing firmsk进口对生产率增长至关重要: 来自中国制造业的经验
Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States基于分位数随机边界的生态效率估计: 来自美国的证据

