Decomposition of total factor productivity growth in Türkiye regions: a panel stochastic frontier approach

IF 2.5 Q2 ECONOMICS Eurasian Economic Review Pub Date : 2024-02-13 DOI:10.1007/s40822-023-00255-7

Nadide Gülbay Yiğiteli, Devran Şanlı

引用次数: 0

Abstract

This paper presents total factor productivity (TFP) growth analysis with a panel Stochastic Frontier Approach (SFA) for 26 Türkiye regions from 2004 to 2020. The study is a pioneer in the literature on decomposing TFP growth components at the regional level with the translog production function for the Turkish economy. This work has a fresh approach regarding adjusting the schooling of employment and involving macroeconomic factors in the inefficiency function. The numerous specification tests show considerable production inefficiencies. Therefore, the production frontier is estimated using the True Fixed Effects (TFE) model. The empirical findings reveal that human capital is the primary driver of output growth. Technical efficiency is estimated to be 90.6% on average, with 9.4% of potential output lost due to technical inefficiency. It has been determined that there has been technical progress in labor-saving. Trade has a negative effect on technical efficiency. These findings contribute to understanding TFP change in the Turkish economy with regional data.

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图尔基耶地区全要素生产率增长的分解：面板随机前沿方法

本文采用面板随机前沿法（SFA）对土耳其 26 个地区 2004 年至 2020 年的全要素生产率（TFP）增长情况进行了分析。该研究是利用土耳其经济的translog生产函数在地区层面分解全要素生产率增长成分的文献的先驱。这项工作采用了一种全新的方法，即调整就业学校教育，并将宏观经济因素纳入低效率函数。大量的规格测试表明生产效率相当低。因此，使用真实固定效应（TFE）模型对生产前沿进行了估计。实证研究结果表明，人力资本是产出增长的主要驱动力。据估计，技术效率平均为 90.6%，由于技术效率低下，潜在产出损失了 9.4%。可以确定，在节省劳动力方面取得了技术进步。贸易对技术效率有负面影响。这些发现有助于通过地区数据了解土耳其经济中全要素生产率的变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Eurasian Economic Review ECONOMICS-

CiteScore

6.00

自引率

2.90%

发文量

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