scholarly journals Export Market Dynamics and Plant-Level Productivity: Impact of Tariff Reductions and Exchange-Rate Cycles*

2012 ◽  
Vol 114 (3) ◽  
pp. 831-855 ◽  
Author(s):  
John Baldwin ◽  
Beiling Yan
2013 ◽  
Vol 103 (3) ◽  
pp. 269-273 ◽  
Author(s):  
Chinhui Juhn ◽  
Gergely Ujhelyi ◽  
Carolina Villegas-Sanchez

We consider a model where firms differ in their productivity and workers are differentiated by skill and gender. A reduction in tariffs induces more productive firms to modernize their technology and enter the export market. New technologies involve computerized production processes and lower the need for physically demanding skills. As a result, the relative wage and employment of women improves in blue-collar tasks, but not in white-collar tasks. We empirically confirm these theoretical predictions using a panel of Mexican establishments and the tariff reductions associated with the North American Free Trade Agreement (NAFTA).


Author(s):  
Deebom, Zorle Dum ◽  
Tuaneh, Godwin Lebari

The risks associated with exchange rate and money market indicators have drawn the attentions of econometricians, researchers, statisticians, and even investors in deposit money banks in Nigeria. The study targeted at modeling exchange rate and Nigerian deposit banks money market dynamics using trivariate form of multivariate GARCH model. Data for the period spanning from 1991 to 2017 on exchange rate (Naira/Dollar) and money market indicators (Maximum and prime lending rate) were sourced for from the central bank of Nigeria (CBN) online statistical database. The study specifically investigated; the dynamics of the variance and covariance of volatility returns between exchange rate and money market indicators in Nigeria were examine whether there exist a linkage in terms of returns and volatility transmission between exchange rate and money market indicators in Nigeria and compared the difference in Multivariate BEKK GARCH considering restrictive indefinite under the assumption of normality and that of student’s –t error distribution.  Preliminary time series checks were done on the data and the results revealed the present of volatility clustering. Results reveal the estimate of the maximum lag for exchange rate and money market indicators were 4 respectively. Also, the results confirmed that there were two co-integrating equations in the relationship between the returns on exchange rate and money market indicators.  The results of the diagonal MGARCH –BEKK estimation  confirmed  that diagonal MGARCH –BEKK in students’-t was  the best fitted and an appropriate model for modeling exchange rate and Nigerian deposit money market dynamics using trivariate form of multivariate GARCH model. Also, the study confirmed presence of two directional volatility spillovers between the two sets of variables.


2019 ◽  
Vol 11 (3) ◽  
pp. 138-150
Author(s):  
Shweta Jain

This article investigates the plant-level characteristics that can affect plant-level productivity. Using Annual Survey of Industries (ASI) data from 1998–1999 to 2012–2013, we find that plant-level productivity is positively correlated with the number of products produced in the plant. It implies that the multi-product plants are relatively more productive than plants that produce only one product. We also find that plants are more productive if they enter the export market, and plant-level productivity is negatively associated with the ratio of production to non-production workers. This finding supports the fact that the plants with more skilled labour compared to unskilled labour are comparatively more productive. Additionally, we find that information and communication technology (ICT) has a significant and positive association with a plant’s productivity level.


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