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Revitalising Indonesia’s Manufacturing: The Productivity Conundrum

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In this paper, the authors investigated trends in productivity at the firm level and found that real wage is the most important variable that influences firm level productivity, followed by capital intensity and foreign ownership and export orientation.
Abstract
In light of the continuing importance, but declining dynamism, of the manufacturing sector, this paper investigates trends in productivity at firm levels. It finds that labour productivity has been either stagnant or falling in labour-intensive manufacturing. The paper uses firm level cross-sectional and time series data and employs GMM techniques to estimate determinants of productivity. It finds that real wage is the most important variable that influences firm level productivity, followed by capital intensity. Contrary to the common perception, foreign ownership and export orientation are not found to have statistically significant influence on firm level productivity. This finding is consistent for firms of all sizes—large, medium, small and micro. This implies that Indonesia can use wages policy, as Singapore did during the late 1970s to mid-1980s, to upgrade its manufacturing to higher value-added activities.

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󰅺   󰂶 󰂶 󰆽󰆻󰆼󰇂 󰃊 󰂹 󰆼󰆻󰂺󰆼󰆼󰇁󰆾󰃈󰆼󰇀󰇂󰆻󰆻󰇁󰆼󰇀󰄀󰆻󰆼󰇁󰆻󰆼󰆻󰆻󰆾
󰆼󰇁 󰃍󰆽󰆻󰆼󰇂󰃎 󰆼󰆽󰆿󰄍󰆼󰇀󰆾
 

  
󰂺󰃈
 󰄘 
  
  󰃻
    󰂶
  󰂶 
 󰂏 󰂐󰅎󰂐󰂐
 
    󰂶  󰂶 
 
󰄀   󰂶
  󰂶 

     󰂶   󰂶   
󰂶         󰂺    
        󰄀 󰂺 
   󰄀       
    󰂺         
     󰂶    󰂺 
   󰂶        
        󰂺   
     󰄎󰂶 󰂶   󰂺   
    󰂶       󰆔󰆜󰆚󰆓  󰄀󰆔󰆜󰆛󰆓󰂶
      󰄀 󰂺
󰃻           
󰃍󰃎󰂺            󰄀
   󰃍󰃎     󰃍  󰃎󰂶
       󰂺       
            󰄀
      󰂺 󰂶    󰂺 
              󰃍󰄀
  󰃎󰂺

󰄘  󰆼󰆽󰇀
󰆼󰇁 󰃍󰆽󰆻󰆼󰇂󰃎 󰆼󰆽󰆿󰄍󰆼󰇀󰆾

 󰄍  󰄍   󰄍   󰄍

         󰄘 󰄀
   󰆔󰆜󰆜󰆚   󰂶     
  󰆜    󰆔󰆜󰆚󰆓󰄍󰆔󰆜󰆜󰆚󰂶    󰄀 󰄀
    󰆙󰂺󰆘  󰂺 󰂶    
     󰄀 󰂺     
  󰆗󰂺󰆜    󰆕󰆓󰆓󰆖󰄍󰆕󰆓󰆔󰆘       󰄀
    󰆘󰂺󰆙  󰂺       
            󰄀
 󰄀  󰄀 󰂺󰇟  󰂶   󰄀
         
        󰂺󰇠  󰄀 
           
   󰄀󰄀     
󰂺󰇡
󰆞   󰂶     󰂶 󰄖 󰂹 󰄀
   󰄘󰂶   󰂶      󰃍󰃎󰂶 󰃖
     󰃖 󰂏     
󰃍󰂹   󰂶 󰆕󰆓󰆔󰆖󰃎󰂶 󰂺 󰆔󰆜󰆖󰄍󰆕󰆕󰆕󰂷  󰂶 󰄖  
   󰄘󰂶   󰂌󰂶
󰂺 󰆔󰂶 󰂺 󰆔 󰃍󰆕󰆓󰆔󰆖󰃎󰂶 󰂺 󰆗󰆛󰄍󰆙󰆘󰂷   󰂶 󰄖       󰄀
󰄘󰂶   󰃍󰆔󰆖  󰆕󰆓󰆔󰆖󰃎󰂷  󰂶   󰂏 
  󰃍󰂹  󰂶  󰆕󰆓󰆔󰆙󰃎󰂺    󰄀
       󰂹  󰂶  󰄖 
  󰂌  󰂕󰄘 󰃍       󰄀
 󰂶   󰂿󰃎󰂶   󰃍󰆗  󰆕󰆓󰆔󰆘󰃎󰂷 󰄖󰃖
   󰄘 󰃍  󰃎󰂶  
󰃍󰆚  󰆕󰆓󰆔󰆗󰃎󰂷 󰄖󰂏   󰄘 󰃍    󰄀
󰃎󰂶   󰃍󰆚  󰆕󰆓󰆔󰆖󰃎󰂷 󰄖󰂏   󰄘 󰃍󰂹
    󰃎󰂶  󰃍󰆕󰆕  󰆕󰆓󰆔󰆓󰃎󰂺
󰆟  󰂶 󰂏     󰃍󰂹 󰂶
󰆕󰆓󰆓󰆓󰃎󰂺
󰆠  󰂶     󰂶 󰄖 󰂹 
󰂿󰄘       󰃍󰃎󰂶 󰂌   

󰆼󰆽󰇁 󰂶
󰆼󰇁 󰃍󰆽󰆻󰆼󰇂󰃎 󰆼󰆽󰆿󰄍󰆼󰇀󰆾
   󰄘       󰄀
 󰄘   󰂺  󰆕󰆓󰆓󰆜󰂶   󰄀
  󰆙󰆖            󰆘󰆜
   󰆕󰆓󰆔󰆕  󰆕󰆓󰆔󰆖󰂺 󰂶    󰄀 
  󰆖󰆚    󰆕󰆓󰆓󰆜  󰆗󰆕    󰆕󰆓󰆔󰆕󰂺
          
      󰂹
󰄘      󰄀
  󰆔󰆜󰆜󰆚󰃈󰆜󰆛   󰂺    󰄀
  󰆔󰆔    󰆔󰆜󰆜󰆓  󰆔󰆜󰆜󰆙 󰆗󰂺󰆛  
   󰆕󰆓󰆓󰆔  󰆕󰆓󰆔󰆗 󰂻     󰄖󰄀
 󰄘󰂺      󰆔󰆜󰆜󰆓󰂶   
        󰆕󰆓󰆓󰆘󰂶  
    󰄀     
  󰂻 󰃕󰃖        
      󰂶 
 󰄖󰄀󰄘󰂺󰇢
󰂶    󰂶     
       󰂺 󰂶   
          󰄀
󰂺󰇣         󰄖 
     󰃍     󰃎󰂶 󰄀
    󰃍󰂹     󰂶 󰆕󰆓󰆔󰆔󰃎󰂶
󰂺 󰆔󰆔󰆖󰄍󰆔󰆖󰆖󰂷   󰂺󰂶 󰄖 󰂹 󰄘󰂷  󰄀
    󰂶 󰄖   󰂹  
    󰄘󰂶    󰂶 󰂺 󰆗󰆙󰂶 󰂺 󰆔 󰃍󰆕󰆓󰆔󰆕󰃎󰂶 󰂺 󰆕󰆙󰆘󰄍󰆕󰆛󰆘󰂷
     󰂶 󰄖󰂶    
  󰄘󰂶      󰂶 󰂺 󰆕󰆓󰂶 󰂺 󰆔 󰃍󰆕󰆓󰆔󰆘󰃎󰂶 󰂺 󰆘󰆚󰄍󰆚󰆙󰂷 
󰂶  󰂶  󰂺    󰂶 󰂌
󰂌    󰂏 󰂶 
      󰃍󰃎 󰂺 󰆕󰆓󰆔󰆖󰆓󰆗 󰃍󰂹 
󰂶 󰆕󰆓󰆔󰆖󰃎󰂺
󰆡  󰂶   󰂏   󰂶 󰂺 󰆕󰆚󰂺
󰆢  󰂺󰂺  󰂶    󰂏    󰃮  󰃖
 󰃍󰂹  󰂶 󰆕󰆓󰆔󰆕󰃎󰂷  󰂶   󰅪󰂏     
      󰃍󰂹  󰂶 󰆕󰆓󰆔󰆕󰃎󰂷  󰄀
 󰂶 󰃮  󰂏  󰂌 󰂌   󰂕󰃤 
     󰅫󰅩󰅪󰅬󰂌   󰃍󰂹   󰂶 󰆕󰆓󰆔󰆖󰃎󰂺

󰄘  󰆼󰆽󰇂
󰆼󰇁 󰃍󰆽󰆻󰆼󰇂󰃎 󰆼󰆽󰆿󰄍󰆼󰇀󰆾
   󰂶    
  󰂶         󰄀
      󰂺󰄘󰇤    
          
   󰂶     󰂶  󰂶
        󰄀 󰂺󰇥
    󰂶        
    󰄘  󰂺  󰂶   
           
 󰂶    󰂶  󰃍󰃎   󰄀
󰂺          
           
        󰂹  󰄀 
    󰃍    󰃎 
        󰃍 
  󰃎󰂺      󰂹     
 󰄖󰄀󰄘 󰂷      󰄀
      󰂷    󰄀
    󰂷    
          󰂺
     󰂶   󰄀
󰂺
    󰃬󰃖󰃮  
 
         󰂶  
         
  󰂺  󰆔     󰆔󰆜󰆚󰆔󰄍
󰆔󰆜󰆜󰆚󰂺    󰂶   󰄘   
   󰆘󰆖     󰆔󰆘  󰂶   
󰄘      󰆛   󰆕󰆘    
󰂺    󰂶      
     󰂶   󰄎
 󰆙󰆚   󰆗󰆗           󰆚 
  󰆔󰆖       󰂺
󰆣  󰂶    󰂶 󰂺 󰆖󰂺
󰆤   󰂶 󰃮  󰂺

󰆼󰆽󰇃 󰂶 
󰆼󰇁 󰃍󰆽󰆻󰆼󰇂󰃎 󰆼󰆽󰆿󰄍󰆼󰇀󰆾
󰆼  󰂌 󰅪󰅲󰅰󰅪  󰅪󰅲󰅲󰅰󰂐 󰂹   󰂣󰂤 
          
󰃖󰅪󰅲󰅰󰅩󰂐  󰂌       
  󰂐      󰅪󰅲󰅰󰅯    
    󰃖    󰂐
󰂌          󰅪󰅲󰅱󰅯󰂐   
  󰅪󰅲󰅱󰅯  󰅪󰅲󰅲󰅬󰂌   󰅪󰅲󰅲󰅭  󰅫󰅩󰅩󰅭󰂌   󰅫󰅩󰅩󰅮  󰅫󰅩󰅪󰅩󰂌
    󰅫󰅩󰅪󰅪 󰂐       
󰂌   󰅫󰅩󰅩󰂌󰅩󰅩󰅩 󰂐      
 󰂐
󰂹 󰃍󰃎 󰂹 
󰃈󰃍󰃎
         󰄀
 󰃍󰆕󰆓󰆓󰆔󰄍󰆕󰆓󰆔󰆗󰃎        
   󰂶  󰂶    󰄘 󰄀
    󰆕󰆛    󰆕󰆘  󰂺   󰄘
     󰂶    󰆔󰆖
   󰆔󰆗   󰃍 󰆕󰃎󰂺 󰂶     

Citations
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Productivity and Technical Change.

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Multidimensional poverty in Indonesia: How inclusive has economic growth been?

TL;DR: In this article, the authors consider different approaches to assessing inclusive growth in Indonesia since 1994 and find that the reduction of poverty measured by the national poverty line is matched by the impressive reduction in education and health poverty, and expansion of household assets.
Journal ArticleDOI

A wages policy for australia

P. H. Karmel
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Manufacturing exports from Sri Lanka: opportunities, achievements and policy options

TL;DR: The authors examines Sri Lanka's experience with manufacturing exports expansion, placing emphasis on opportunities and policy priorities in a rapidly changing global context in which global production sharing has become the prime mover of cross-border production and trade.
Posted Content

Aging, depression, and non-communicable diseases in South Africa

TL;DR: It is found that, among the old, those in their sixties, the Africans and Coloureds, women, those suffering from multimorbidity, Those in lower asset quartiles, and individuals suffering family bereavement are more likely to be depressed.
References
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Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.

TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
Report SeriesDOI

Initial conditions and moment restrictions in dynamic panel data models

TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Journal ArticleDOI

Another look at the instrumental variable estimation of error-components models

TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
Journal ArticleDOI

Economic Development with Unlimited Supplies of Labour

TL;DR: In this article, the authors present a different framework for solving problems of distribution accumulation and growth first in a closed and then in an open economy, where the assumption of an unlimited labor supply is used.
Journal ArticleDOI

How to do Xtabond2: An Introduction to Difference and System GMM in Stata

TL;DR: This pedagogic paper first introduces linear GMM, and shows how limited time span and the potential for fixed effects and endogenous regressors drive the design of the estimators of interest, offering Stata-based examples along the way.
Related Papers (5)
Frequently Asked Questions (9)
Q1. What are the contributions in this paper?

In light of the continuing importance, but declining dynamism, of the manufacturing sector, this paper investigates trends in productivity at firm levels. The paper uses firm level cross-sectional and time series data and employsgmmtechniques to estimate determinants of productivity. It finds that real wage is the most important variable that influences firm level productivity, followed by capital intensity. The authors gratefully acknowledge research funding from the International Labour Office ( Jakarta ). The paper benefited from comments at seminars in the IndonesianNational Development Planning Agency ( bappenas ) and the smeru Research Institute ( both in Jakarta ), and the authors are grateful to the seminar participants. An earlier version of the paper was published inWorking Papers in Trade and Development ( Australian National University ). 

The consistency of gmm estimator depends on the validity of the assumption that the error terms do not display serial correlation and on the validity of the instruments. 

For micro firms, for firms established during 1990–1999, with fewer than 100 observations for some years, a two-year band is employed to create the cohort. 

Being part of the policy-making process, trade union leaders understood the need for economic restructuring to remain internationally competitive. 

London Economics, in a report studying the performance of cooperativemembers versus non-members across Europe, finds that firms with cooperative memberships generally have higher turnover and labour productivity growth as opposed to the non-member firms. 

In their model, the inclusion of capital represents a control on the role and contribution of smes’ internal resources towards the firms’ productivity. 

For all firms set up, averaging both micro and small, with relatively large observations of firms established every year after 1990, the cohort is created using a one-year band. 

The above diagnostic of firm level data indicates that the stagnating productivity in the overall manufacturing sector is due to stagnating and/or falling productivity of labour-intensive large–medium firms. 

A point to note is that the effect of capital intensity on labour productivity in large firms is nearly twice that of medium firms.