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.

本文采用面板随机前沿方法 (SFA) 对 2004 年至 2020 年土耳其 26 个地区的全要素生产率 (TFP) 增长进行了分析。这项研究是利用跨对数生产在区域层面分解 TFP 增长组成部分的文献的先驱。为土耳其经济发挥作用。这项工作在调整就业教育和将宏观经济因素纳入无效率函数方面有着新颖的做法。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）模型来估计生产前沿。实证结果表明，人力资本是产出增长的主要驱动力。技术效率预计平均为 90.6%，由于技术效率低下而损失了 9.4% 的潜在产出。确定了在节省劳动力方面有了技术进步。贸易对技术效率有负面影响。这些发现有助于通过区域数据了解土耳其经济中全要素生产率的变化。