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引用次数: 0
摘要
摘要 经济学家倾向于认为,生产技术应先表现出规模收益递增,然后是规模收益不变,最后是规模收益递减,本文称之为规则可变规模收益(RVRS)。此外,当只有一种产出时,RVRS 生产技术的一种特殊模式是生产函数沿着从原点出发的任何一条投入射线呈 S 型曲线。在有关效率分析的文献中,最常用的经验技术是规模报酬可变(VRS)生产技术。虽然它表现出 RVRS,但却无法模拟非凸生产技术,如 S 型生产函数。最近,一种新的经验生产技术被引入,以捕捉具有部分凸性的 RVRS。本文探讨了它与效率测量的关系。此外,本文还提出了一种能更好地捕捉 S 型生产函数特征的新型经验生产技术。在具有 RVRS 的非凸生产中,这两种新的生产技术为常用的自由丢弃船体(FDH)生产技术提供了更好的替代方案。我们利用美国制造业的数据来说明我们的新生产技术。如果认为生产技术是部分凸的并表现出 RVRS,则会发现传统的 VRS 生产技术高估了在此信念下小型生产单位的技术无效率。
Partially Convex Production Technology and Efficiency Measurement
Abstract
Economists tend to believe that production technology should exhibit increasing returns to scale first and then constant and finally decreasing returns to scale, called regular variable returns to scale (RVRS) in this paper. Further, a special pattern of RVRS production technology when there is only one output is the production function that has an S-shaped curve along any ray of inputs from the origin. In the literature on efficiency analysis, the most frequently used empirical technology is the variable returns to scale (VRS) production technology. Although it exhibits RVRS, it is unable to model nonconvex production technologies, such as the S-shaped production function. Recently, a new empirical production technology has been introduced to capture RVRS with partial convexity. This paper explores its relationship with efficiency measurement. Furthermore, a novel empirical production technology that can better capture the characteristics of the S-shaped production function is proposed. These two new production technologies provide better alternatives to the commonly used Free Disposal Hull (FDH) production technology in non-convex production with RVRS. Our new production technology is illustrated using US manufacturing industry data. If one believes that the production technology is partially convex and exhibits RVRS, it is found that the conventional VRS production technology overestimates the technical inefficiency of small production units under this belief.
期刊介绍:
The Journal of Productivity Analysis publishes theoretical and applied research that addresses issues involving the measurement, explanation, and improvement of productivity. The broad scope of the journal encompasses productivity-related developments spanning the disciplines of economics, the management sciences, operations research, and business and public administration. Topics covered in the journal include, but are not limited to, productivity theory, organizational design, index number theory, and related foundations of productivity analysis. The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data. The empirical research illustrates the application of theory and techniques to the measurement of productivity, and develops implications for the design of managerial strategies and public policy to enhance productivity.
Officially cited as: J Prod Anal