scholarly journals Total factor productivity of Korean manufacturing industries: Comparison of competing models with firm-level data

2014 ◽  
Vol 30 ◽  
pp. 25-36 ◽  
Author(s):  
Donghyun Oh ◽  
Almas Heshmati ◽  
Hans Lööf
Keyword(s):  
Total Factor Productivity ◽  
Manufacturing Industries ◽  
Factor Productivity ◽  
Firm Level ◽  
Level Data ◽  
Firm Level Data ◽  
Competing Models

scholarly journals Economic Policy Uncertainty, Outward Foreign Direct Investments, and Green Total Factor Productivity: Evidence from Firm-Level Data in China

2021 ◽  
Vol 13 (4) ◽  
pp. 2339
Author(s):  
Yuegang Song ◽  
Feng Hao ◽  
Xiazhen Hao ◽  
Giray Gozgor
Keyword(s):  
Economic Policy ◽  
Total Factor Productivity ◽  
Industrial Development ◽  
Positive Impact ◽  
Western China ◽  
Factor Productivity ◽  
Firm Level ◽  
Chinese Firm ◽  
Level Data ◽  
Firm Level Data

This paper uses Chinese firm-level data to investigate the effect of China’s outward foreign direct investment (OFDI) on green total factor productivity (GTFP) under economic policy uncertainties (EPU). We found a significant positive impact of OFDI on GTFP. Moreover, an increase in EPU was shown to decrease GTFP. We also found that OFDI positively contributes to GTFP for private firms and foreign-invested firms in China. Technology-seeking OFDI contributes greater to GTFP than resource-seeking OFDI and market-seeking OFDI. These results remain robust when considering OFDI from firms in Central and East China as well as Western China. The findings are also robust with green labor productivity (GLP) substituting for GTFP using different econometric techniques. We also discuss potential implications in enhancing green innovation performance and sustainable industrial development in China.

scholarly journals Creative Destruction of Industries: Yokohama City in the Great Kanto Earthquake, 1923

2019 ◽  
Vol 79 (1) ◽  
pp. 1-31 ◽  
Author(s):  
Tetsuji Okazaki ◽  
Toshihiro Okubo ◽  
Eric Strobl
Keyword(s):  
Creative Destruction ◽  
Manufacturing Industries ◽  
Firm Level ◽  
Machine Technology ◽  
Kanto Earthquake ◽  
Level Data ◽  
Firm Level Data ◽  
Before And After

The Great Kanto Earthquake occurred on 1 September 1923 and inflicted serious damage on Yokohama City. About 90 percent of the factories in Yokohama City were burnt down or completely destroyed. However, these manufacturing industries appear to have swiftly recovered in the aftermath of the damage. This article investigates the role of creative destruction due to the Great Kanto Earthquake. Using firm-level data on capital (horsepower of motors) before and after the earthquake, we find substantial creative destruction, that is, upgrade of machine technology and/or survival of efficient firms. We find further collaborating evidence of this at the prefecture level.

scholarly journals EXPORT BEHAVIOUR OF MANUFACTURING FIRMS IN INDONESIA, 1990-2000

2010 ◽  
Vol 12 (2) ◽  
pp. 227-242
Author(s):  
Sahminan Sahminan ◽  
Yati Kurniati
Keyword(s):  
Foreign Ownership ◽  
Manufacturing Firms ◽  
Lower Proportion ◽  
Manufacturing Industries ◽  
Firm Level ◽  
Panel Data Regression ◽  
Level Data ◽  
Data Regression ◽  
Export Behaviour ◽  
Firm Level Data

This paper examines export behaviour of manufacturing firms in Indonesia. We use firm-level data from survey of medium and large Indonesian manufacturing industries over the period 1990-2000. Using panel data regression technique, we find the following regularities. First, there is a persistency in the firm’s decision to export as well as proportion of exported output. Second, higher wage, larger number of production employment, higher productivity and higher share of foreign ownership lead to higher probability of a firm to export. Third, higher wage leads to higher proportion of exported output. However, higher productivity or higher share of foreign ownership leads to lower proportion of exported output. Fourth, while real exchange rate does not significantly affect the probability of firms to export, it significantly affects the proportion of exported output. Fifth, both probability to export and proportion of exported output was significantly much lower during the 1997/1998’s Asian crisis. Finally, looking at the export behaviour across industries, the estimation results show that there is a variation of export behavior across industries.Keywords: Export, manufacture, Indonesia.JEL Classification: F14, F13, D21

Location Proximity and Productivity Spillovers: The Case of Korean Manufacturing Plants

2015 ◽  
Vol 14 (1) ◽  
pp. 104-118 ◽  
Author(s):  
Backhoon Song
Keyword(s):  
Knowledge Spillovers ◽  
Factor Productivity ◽  
Firm Level ◽  
Manufacturing Plants ◽  
High Productivity ◽  
External Knowledge ◽  
Sources Of Knowledge ◽  
Level Data ◽  
Firm Level Data ◽  
New Ideas

Knowledge spillovers have been recognized as an important source of innovation and economic growth in both industry and firm-level data. A firm may reap benefits by locating near other firms in the same geographical region. In this paper, we examine how physical proximity influences a firm's future productivity and its survival possibility. Our results indicate that a firm located in a region with a higher median total factor productivity (TFP) gains higher productivity from other firms in the same region. One possible explanation is that such a firm has more opportunity to access superior external knowledge and to produce more new ideas. Our results also indicate these productivity-enhancing characteristics do not seem to be industry-specific. Finally, we find that high productivity firms are the only significant sources of knowledge spillovers, suggesting that firms benefit most from combining their internal knowledge with the external knowledge of neighboring firms with high TFP on average.

scholarly journals PERILAKU EKSPOR PERUSAHAAN MANUFAKTUR DI INDONESIA, 1990-2000

2010 ◽  
Vol 12 (2) ◽  
pp. 243-259
Author(s):  
Sahminan Sahminan ◽  
Yati Kurniati
Keyword(s):  
Foreign Ownership ◽  
Manufacturing Firms ◽  
Lower Proportion ◽  
Manufacturing Industries ◽  
Firm Level ◽  
Panel Data Regression ◽  
Level Data ◽  
Data Regression ◽  
Export Behaviour ◽  
Firm Level Data

This paper examines export behaviour of manufacturing firms in Indonesia. We use firm-level data from survey of medium and large Indonesian manufacturing industries over the period 1990-2000. Using panel data regression technique, we find the following regularities. First, there is a persistency in the firm’s decision to export as well as proportion of exported output. Second, higher wage, larger number of production employment, higher productivity and higher share of foreign ownership lead to higher probability of a firm to export. Third, higher wage leads to higher proportion of exported output. However, higher productivity or higher share of foreign ownership leads to lower proportion of exported output. Fourth, while real exchange rate does not significantly affect the probability of firms to export, it significantly affects the proportion of exported output. Fifth, both probability to export and proportion of exported output was significantly much lower during the 1997/1998’s Asian crisis. Finally, looking at the export behaviour across industries, the estimation results show that there is a variation of export behavior across industries.Keywords: Export, manufacture, Indonesia.JEL Classification: F14, F13, D21

scholarly journals Proximity and Investment: Evidence from Plant-Level Data *

2013 ◽  
Vol 128 (2) ◽  
pp. 861-915 ◽  
Author(s):  
Xavier Giroud
Keyword(s):  
Travel Time ◽  
Total Factor Productivity ◽  
Extensive Margin ◽  
Sample Period ◽  
Factor Productivity ◽  
Firm Level ◽  
Level Data ◽  
Plant Level

Abstract Proximity to plants makes it easier for headquarters to monitor and acquire information about plants. In this article, I estimate the effects of headquarters’ proximity to plants on plant-level investment and productivity. Using the introduction of new airline routes as a source of exogenous variation in proximity, I find that new airline routes that reduce the travel time between headquarters and plants lead to an increase in plant-level investment of 8% to 9% and an increase in plants’ total factor productivity of 1.3% to 1.4%. The results are robust when I control for local and firm-level shocks that could potentially drive the introduction of new airline routes, when I consider only new airline routes that are the outcome of a merger between two airlines or the opening of a new hub, and when I consider only indirect flights where either the last leg of the flight (involving the plant’s home airport) or the first leg of the flight (involving headquarters’ home airport) remains unchanged. Moreover, the results are stronger in the earlier years of the sample period and for firms whose headquarters is more time-constrained. In addition, they also hold at the extensive margin, that is, when I consider plant openings and closures.

Total Factor Productivity in Manufacturing Industry for Delhi for Last Thirty Years

2014 ◽  
Vol 1 (1) ◽  
pp. 18-36
Author(s):  
Anindya Bhattacharya
Keyword(s):  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Time Series Data ◽  
Manufacturing Sector ◽  
National Level ◽  
Recent Time ◽  
Manufacturing Industries ◽  
Series Data ◽  
Factor Productivity ◽  
Level Data

This paper attempts to give an overview of the Total Factor Productivity Growth (TFPG) for the NCR or Delhi for the period from 1981-82 to 2011-12 for the manufacturing sector. Using the ASI time series data and Growth Accounting Approach the TFPG Index values are computed. The study reveals that for most of the major group or 2-digit level of manufacturing industries the respective TFPG values are declining over time. The results indicate that the lacklustre performance of the manufacturing sector equally holds in Delhi as it is already verified for the national level data of the sector through many other studies in recent time.

ON THE DETERMINANTS OF TOTAL FACTOR PRODUCTIVITY GROWTH: EVIDENCE FROM SPANISH MANUFACTURING FIRMS

2011 ◽  
Vol 17 (3) ◽  
pp. 501-530 ◽  
Author(s):  
Fabio Castiglionesi ◽  
Carmine Ornaghi
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Learning By Doing ◽  
Positive Contribution ◽  
Factor Productivity ◽  
Firm Level ◽  
Tfp Growth ◽  
Level Data ◽  
Main Determinants ◽  
Specific Learning

This paper explores the main determinants of productivity growth. The analysis is performed using Spanish firm-level data. We define a framework where the relative magnitudes of alternative, but not exclusive, sources of technical change are simultaneously estimated. Our main finding is that the average total factor productivity (TFP) growth is fully explained by embodied technical progress (i.e., either new capital goods or human capital). Our results contradict the existence of a positive contribution of economywide neutral technological progress in determining average TFP growth. They also leave little room for large, unpriced effects external to the firm, both at the aggregate and at the industry level. We find evidence of firm-specific learning by doing, short-lived and due to adoption of new processes.

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