scholarly journals Measuring Aggregate Productivity Growth Using Plant-Level Data

2005 ◽  
Author(s):  
Amil Petrin ◽  
James Levinsohn
2019 ◽  
Vol 32 (1) ◽  
pp. 23-46
Author(s):  
Takahiro Sato ◽  
Aradhna Aggarwal

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


2021 ◽  
Vol 2021 (1314) ◽  
pp. 1-36
Author(s):  
Daniel A. Dias ◽  
◽  
Carlos Robalo Marques ◽  

In the empirical literature, the analysis of aggregate productivity dynamics using firm-level productivity has mostly been based on changes in the mean of log-productivity. This paper shows that there can be substantial quantitative and qualitative differences in the results relative to when the analysis is based on changes in the mean of productivity, and discusses the circumstances under which such differences are likely to happen. We use firm-level data for Portugal for the period 2006-2015 to illustrate the point. When the mean of productivity is used, we estimate that TFP and labor productivity for the whole economy increased by 17.7 percent and 5.2 percent, respectively, over this period. But, when the mean of log-productivity is used, we estimate that these two productivity measures declined by 4.3 percent and 1.8 percent, respectively. Similarly disparate results are obtained for productivity decompositions regarding the contributions for productivity growth of surviving, entering and exiting firms.


2015 ◽  
Vol 11 (4) ◽  
pp. 847-874 ◽  
Author(s):  
EVGUENIA BESSONOVA ◽  
KSENIA GONCHAR

AbstractThis paper addresses the link between the strong inflow of FDI into Russia in the 2000s and its weak institutions, using plant-level data across subnational regions. The findings imply that investors have responded positively to improved quality of institutions in certain regions, which offered a combination of wealth, skills and good infrastructure. High development levels in host regions helped to bypass some institutional shortcomings. Investors from source countries exhibiting comparable institutional environment appeared to be more immune to political conflict. Round-trip investors reacted to institutional determinants in almost the same manner as genuine investors, except for tolerance to labor market imperfections.


2007 ◽  
Vol 12 (6) ◽  
pp. 739-756 ◽  
Author(s):  
JORGE H. GARCÍA ◽  
THOMAS STERNER ◽  
SHAKEB AFSAH

ABSTRACTThis paper evaluates the effectiveness of the Program for Pollution Control Evaluation and Rating (PROPER) in Indonesia. PROPER, the first major public disclosure program in the developing world, was launched in June 1995; though it collapsed in 1998 with the Asian financial crisis, it is currently being revived. There have been claims of success for this pioneering scheme, yet little formal and conclusive analysis has been undertaken. We analyze changes in emissions concentrations (mg/L) using panel data techniques with plant-level data for participating firms and a control group. The results show that there was indeed a positive response to PROPER, especially among firms with poor environmental compliance records. The response was immediate, and firms pursued further emissions reductions in the following months. The total estimated reductions in biochemical oxygen demand (BOD) and chemical oxygen demand (COD) were approximately 32 per cent.


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