估算与 GTAP 数据一致的增值/中间投入替代弹性系数

IF 2.2 Q2 ECONOMICS
M. Ivanic, Jayson Beckman, Noe J. Nava
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引用次数: 0

摘要

弹性往往是专家决定和文献估计的结合--其中许多已经过时。以往的工作重点是估算经济模型中最常用的弹性系数(如阿明顿贸易弹性系数);然而,有几种弹性系数仍然缺乏经验依据。中间投入与附加值之间的替代弹性就是一个例子,但这一弹性相当重要,因为它制约着生产者在不同部门和地区的生产制度,反映了他们的效率水平。我们利用 GTAP 数据库第 11 版中最新的五个数据集(2004 年、2007 年、2011 年、2014 年和 2017 年),对使用最广泛的 CGE 模型之一(GTAP 模型中的 ESUBT 参数)的这一弹性进行了研究和估算。我们的研究发现,GTAP 的默认值为零并不能反映数据所隐含的行为。利用我们的估计值,我们为短期运行(约一年)、两个中期运行(三年和六年)和长期运行(即无限时间跨度)提出了一套新值。我们使用欧盟 "从农场到餐桌 "政策中的一个情景来证明我们新估算值的重要性,我们发现使用估算的弹性会导致更温和的市场和福利影响,而且随着模拟时间跨度的增加,这些影响会进一步减弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the value-added/intermediate input substitution elasticities consistent with the GTAP data
Elasticities are often a combination of expert decisions and literature estimates— many of which are outdated. Previous efforts have focused on estimating the most commonly used elasticities in economic models (e.g., the Armington elasticity of trade); however, several elasticities still have little empirical basis. The elasticity of substitution between intermediate inputs and value-added is one example, but this elasticity is quite important as it governs producers’ production regimes across sectors and regions reflecting their level of efficiency. We examine and estimate this elasticity for one of the most widely used CGE models (parameter ESUBT in the GTAP model), using the latest five datasets available (2004, 2007, 2011, 2014, and 2017) in the version 11 GTAP database. Our work finds that the default value of zero in GTAP does not reflect the behavior implied by the data. Using our estimates, we propose a set of new values for the short run (about one year), two medium runs (three years and six years) and the long run (i.e., infinite time horizon). We demonstrate the importance of our new estimates using a scenario from the EU Farm to Fork policy where we find that using the estimated elasticities leads to much milder market and welfare impacts, and that these effects are further dampened as the time horizon of the simulation increases.
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
0
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