scholarly journals Cyclical Adjustment, Capital-labor Substitution and Total Factor Productivity Convergence – East Germany After Unification

2012 ◽  
Vol 232 (4) ◽  
Author(s):  
Werner Smolny
Keyword(s):  
Panel Data ◽  
Federal Government ◽  
Total Factor Productivity ◽  
Production Function ◽  
Economic Integration ◽  
Productivity Growth ◽  
Factor Productivity ◽  
Catching Up ◽  
Productivity Convergence ◽  
East German

SummaryDespite rapid economic integration and massive help from the Federal Government East German productivity catching up faded out in the nineties. This paper presents panel-data estimates of the productivity adjustment based on a production function framework and a stylized adjustment model of the economy. The central empirical result is a decomposition of the sources of productivity growth. The estimates reveal that a large part of productivity growth in the early nineties is related to factors that were specific for that period. The fading out since the mid-nineties is attributed to the development of total factor productivity.

scholarly journals TOTAL FACTOR PRODUCTIVITY AND FRONTIER PRODUCTION FUNCTION = PRODUKTIVITAS FAKTOR PRODUKSI TOTAL DAN FUNGSI PERODUKSI FRONTIER

Agro Ekonomi ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 2
Author(s):  
Sri Widodo
Keyword(s):  
Total Factor Productivity ◽  
Production Function ◽  
Productivity Growth ◽  
Factor Productivity ◽  
Single Factor ◽  
Cross Sectional ◽  
Potential Output ◽  
Total Productivity ◽  
Cross Sectional Studies ◽  
Frontier Production Function

The total factor productivity became an interesting concept in the measurement of productivity growth. Productivity is a ratio of output to input. The most common measurement of productivity is single factor productivity or partial productivity such as of land, labor, or capital.A total (factor) productivity is a productivity of all factors of production where the factors are aggregated. In cross-sectional studies this total productivity is a ratio of actual to potential output where the potential output is estimated from ther frontier production function. One of the methods to estimate this frontier function is by using linear programming technique.The total productivity does not always coincide with a single factor productivity of land (yield), that in the study area the larger farms tend to have higher total productivity than yield

scholarly journals Productivity Dynamics and Rural Industrialization in India

2019 ◽  
Vol 32 (1) ◽  
pp. 23-46
Author(s):  
Takahiro Sato ◽  
Aradhna Aggarwal
Keyword(s):  
Panel Data ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Rural Areas ◽  
Manufacturing Sector ◽  
Aggregate Productivity ◽  
Factor Productivity ◽  
Rural Industrialization ◽  
Plant Level ◽  
Productivity Dynamics

Since the late 1990s, industrialization in India has been driven by the rural organized manufacturing sector. This paper examines the effects of firms’ dynamics on rural industrialization in India, using plant-level panel data, to investigate the characteristics of rural industrialization in India in recent years. In particular, the paper focuses on productivity differences among continuing, entering, and exiting firms. The results show that both labour and total factor productivity of the organized manufacturing sector in rural areas increased during 2000–2006 and the aggregate productivity growth is supported by the productivity growth of the continuing firms, the entry of productive firms, and the exit of less-productive firms. The paper can conclude that firms’ productivity dynamics contributed to the current rural industrialization in India. JEL: O14, O47, O53

scholarly journals Total Factor Productivity Growth of Vietnamese Enterprises by Sector and Region: Evidence from Panel Data Analysis

Economies ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 109
Author(s):  
Hai Quang Nguyen
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Panel Data Analysis ◽  
River Delta ◽  
Total Factor Productivity Growth ◽  
Red River ◽  
Factor Productivity ◽  
Red River Delta

Total factor productivity growth (TFPG) is an important indicator evaluating the enterprise development model. The aim of this study is to consider the imbalance between TFPG and enterprises growth patterns of sectors and regions in Vietnam. The results of panel data analysis in 2005–2018 show that the growth of Vietnamese enterprises is mainly due to increased capital, especially in the non-state enterprise sector and in the Red River Delta. Total factor productivity (TFP) was found to be present in the non-state and inward foreign investment sectors during the five years 2014–2018. By comparison, the state-owned enterprise sector fell sharply during the same period. Strong upward increases in TFP were notable in the Northern Midlands and Mountain areas, the Mekong River Delta, and the Southeast, while there was a marked downward trend in the Central Highlands and the Red River Delta, especially marked in the Central Highlands. Thus, the results from this study are a basis to suggest an appropriate policy mix that helps to improve the performance of enterprises in different sectors and regions of Vietnam.

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