GDP and TFP in Poviats of the Łódzkie Voivodeship. Estimation and Analysis of Differentiation

IF 1.1 Q3 ECONOMICS
B. Dańska-Borsiak
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引用次数: 2

Abstract

Abstract The main objective of the research was to estimate the level of GDP and total factor productivity (TFP) in the counties (‘poviats’) of the Łódzkie voivodeship in the period 2002-2019. The gross product in poviats was determined by disaggregating the GDP of the Łódzkie voivodeship in proportion to the revenues of poviat budgets from personal income tax PIT and to the shares of poviats in the voivodeship wage fund. TFP was determined on the basis of a labour productivity model derived from the Cobb-Douglas production function with the assumption of constant returns to scale. A spatial panel data model estimated by the maximum likelihood method was applied. The poviat of Łódź was identified as the upper outlier in terms of the level of gross product. The dynamics of poviat values of GDP was similar to the national one, but poviats with a much faster rate of growth were identified. The highest level of TFP was observed in the poviat of Łódź. Very high productivity was also characteristic for the two other cities with poviat status, especially Skierniewice. In the Łódzkie voivodeship there was a progressive polarisation in terms of TFP with two leading poviats. No spillover processes were found. The capital city of the voivodeship, being itself the upper outlier, therefore did not play the role of a growth centre. It was also found that a clearly defined profile of economic activity in the poviat is conducive to faster TFP growth.
Łódzkie省各省的国内生产总值和全要素生产率。微分估计与分析
摘要本研究的主要目的是估计2002-2019年期间,各省各县的GDP和全要素生产率(TFP)水平。通过将Łódzkie省的国内生产总值与来自个人所得税PIT的省预算收入以及省在省工资基金中的份额按比例分解,确定了省的总产值。TFP是在Cobb Douglas生产函数的劳动生产率模型的基础上确定的,该模型假设规模回报率不变。应用了最大似然法估计的空间面板数据模型。就生产总值水平而言,Łód罗兹省被确定为较高的异常值。GDP的poviat值的动态与全国的相似,但发现了增长速度快得多的povia。罗兹省的TFP含量最高。非常高的生产力也是其他两个贫困城市的特点,尤其是斯基尔尼维斯。在Łódzkie省,TFP方面出现了一种渐进的两极分化,有两个主要政党。未发现溢出过程。因此,省首府本身就是上层异类,并没有发挥增长中心的作用。研究还发现,明确界定该地区的经济活动有助于加快全要素生产率的增长。
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
Econometrics
Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
2.40
自引率
20.00%
发文量
30
审稿时长
11 weeks
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