Trade Liberalization and 'Delocalization': New Evidence from Firm-Level Panel Data

1998 ◽  
Vol 31 (4) ◽  
pp. 749 ◽  
Author(s):  
Susan E. Feinberg ◽  
Michael P. Keane ◽  
Mario F. Bognanno
Keyword(s):  
Panel Data ◽  
Trade Liberalization ◽  
Firm Level ◽  
New Evidence

THE EFFECTS OF TAXATION ON INVESTMENT: NEW EVIDENCE FROM FIRM LEVEL PANEL DATA

1992 ◽  
Vol 45 (3) ◽  
pp. 243-251
Author(s):  
JASON G. CUMMINS ◽  
KEVIN A. HASSETT
Keyword(s):  
Panel Data ◽  
Firm Level ◽  
New Evidence

scholarly journals Trade Liberalization and Labor Demand Elasticities: A Firm-Level Analysis of Pakistan’s Manufacturing Sector

2021 ◽  
Vol 5 (2) ◽  
pp. 53-68
Author(s):  
Muhammad Ramzan Sheikh ◽  
Misbah Rauf ◽  
Irfan Hussain ◽  
Asad Abbas
Keyword(s):  
Panel Data ◽  
Trade Liberalization ◽  
Positive Relationship ◽  
Manufacturing Sector ◽  
Labor Demand ◽  
Demand Elasticity ◽  
Policy Recommendations ◽  
Firm Level ◽  
Demand Elasticities ◽  
Level Analysis

The study investigates the linkage of trade liberalization and labor demand elasticities in Pakistan. The panel data are used by selecting 13 industries in Pakistan's manufacturing sector for the years 1995-1996, 2000-2001, and 2005-2006. The Pooled OLS technique is applied to get the estimates at an aggregated level and disaggregated levels. Overall findings support the positive relationship between trade liberalization and labor demand elasticity in production workers but in the case of non-production workers, the findings show the weak relationship between trade liberalization and labor demand elasticity. The study is also furnished with some policy recommendations.

The End of Multi-Fibre Arrangement and Firm Performance in the Textile Industry: New Evidence

2013 ◽  
Vol 52 (2) ◽  
pp. 97-126 ◽  
Author(s):  
Zara Liaqat
Keyword(s):  
Textile Industry ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Production Functions ◽  
Firm Level ◽  
Quality Ladders ◽  
Sectoral Differences ◽  
The Mean ◽  
New Evidence ◽  
Empirical Methodology

Using a sample of 321 textile and clothing companies for the years 1992 to 2010, this paper analyses the effect of quota phase-outs on firm-level efficiency in Pakistan following the end of the Multi-Fibre Arrangement (MFA). It highlights sectoral heterogeneity within the manufacturing industry as a result of MFA expiration. The empirical methodology uses the structural techniques proposed by Olley and Pakes (1996), and Levinsohn and Petrin (2003) in order to take care of endogeneity in the estimation of production functions. The results differ for the two industries: MFA expiration lead to an increase in the average productivity of textile producing firms but a significant reduction in the mean productivity of clothing producers. We offer a number of explanations for this outcome, such as a change in the input and product mix, entry by non-exporters in the clothing sector, and sectoral differences in quality ladders. A number of crucial policy lessons can be drawn from the findings of this study. JEL Classification:F13; F14; D24; C14; O19 Keywords: Multi-Fibre Arrangement, Trade Liberalisation, Productivity, Firm Heterogeneity, Simultaneity and Production Functions, Endogeneity of Protection

scholarly journals Financial development and economic growth: New evidence from panel data

2011 ◽  
Vol 51 (1) ◽  
pp. 88-104 ◽  
Author(s):  
M. Kabir Hassan ◽  
Benito Sanchez ◽  
Jung-Suk Yu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Financial Development ◽  
New Evidence

AGGREGATE MARKUP DYNAMICS: EVIDENCE FROM CHINA

2021 ◽  
pp. 1-21
Author(s):  
YUE WEN
Keyword(s):  
Trade Liberalization ◽  
Decomposition Method ◽  
Dynamic Change ◽  
Manufacturing Firms ◽  
Sample Period ◽  
Upward Trend ◽  
Firm Level ◽  
Industry Level ◽  
New Perspective

Unlike previous studies that focus on the change of firm-level markup, this study focuses on the change of industry-level aggregate markup. From the data of China’s manufacturing firms in 1999–2007, this study exploits the dynamic change of aggregate markup by using the decomposition method which is proposed by Melitz and Polanec (2015). The result shows that China’s manufacturing aggregate markup has an upward trend during the sample period, which mainly comes from the contribution of surviving firms. On the contrary, the contribution of entering and exiting firms to the aggregate markup is negative. Further analysis shows that trade liberalization is one of the reasons to promote the increase of China’s manufacturing aggregate markup. This study provides a new perspective for understanding the dynamic change of the aggregate markup.

Productivity and Wage Effects of Firm‐Level Upstreamness: Evidence from Belgian Linked Panel Data

World Economy ◽  
2021 ◽  
Author(s):  
Benoît Mahy ◽  
François Rycx ◽  
Guillaume Vermeylen ◽  
Mélanie Volral
Keyword(s):  
Panel Data ◽  
Firm Level ◽  
Wage Effects
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