EMPLOYMENT,CAPITAL, AND PRODUCTIVITY DYNAMICS: EVIDENCE FROM THE MANUFACTURING SECTOR IN URUGUAY

Using a sample of Uruguayan manufacturing establishments we analyze employment, capital, and productivity dynamics over a period of currency appreciation; changes in trade policy; and changes in the institutional setting of wage negotiations. As the relative capital–labor price ratio fell, capital intensity increased. At the same time, there was an increase in labor and total factor productivity. Creation and destruction rates were relatively high and pervasive over time, sectors, establishment size, and establishment age, with exits explaining a sizeable part of destruction rates. Most of the excess reallocation was due to movements “within” rather than “between” sectors. Thus, high reallocation rates were linked to establishment‐level heterogeneity rather than aggregate shocks.     

PRODUCTIVITY AND FIRM DYNAMICS: CREATIVE DESTRUCTION IN INDONESIAN MANUFACTURING, 1994–2000

This paper examines the entry and exit, and the labour productivity, of Indonesian manufacturing firms with 20 workers or more, using a firm-level panel dataset constructed for the years 1994–2000. Overall change in manufacturing labour productivity reached 27.2%—an average growth of 3.5% per annum—between 1994 and 2000, a period that includes the 1997–98 Asian financial crisis, which hit Indonesia hard. Vibrant firm dynamics characterised this period, in which about 10% of manufacturing enterprises were renewed in any one year. By 2000, one-third of all enterprises in existence in 1994 had closed, but the number of enterprises that closed was lower than the number that entered and survived up to the year 2000. The replacement of exiting firms with newly entering firms contributed significantly to increases in overall labour productivity. Regulatory reform in support of this process should lead to gains in productive employment for Indonesian workers.     

NEW ESTIMATES OF TOTAL FACTOR PRODUCTIVITY GROWTH IN INDONESIAN MANUFACTURING

This paper estimates new elasticities of value added with respect to labour and capital in Indonesian manufacturing, controlling for the simultaneity problem that potentially exists between the choice of input levels and a productivity shock (such as an increase in productivity due to new production processes), for plant exit, and for quasi-constant unobservable plant characteristics. It does so by applying the Levinsohn and Petrin (2003) production function estimator to plant-level value added, fixed assets, labour, and electricity consumption data over the period 1988–95. This methodology allows us to revisit the previously used growth accounting based elasticities, and thereby improves total factor productivity (TFP) estimates. The results show that, in the period under study, aggregate TFP growth in Indonesian manufacturing was higher than had previously been estimated.     

IMPORT LIBERALIZATION AND PRODUCTIVITY GROWTH IN INDIAN MANUFACTURING INDUSTRIES IN THE 1990s

Total factor productivity growth in Indian manufacturing decelerated in the 1990s, a decade of major economic reforms in India. Econometric analysis presented in the paper indicates that the lowering of effective protection to industries favorably affected productivity growth. The results suggest that gestation lags in investment projects and slower agricultural growth in the 1990s had an adverse effect on productivity growth. The analysis reveals that underutilization of industrial capacity was an important cause of the productivity slowdown. With corrections for capacity utilization, the estimated productivity growth in the 1990s is found to be about the same as in the 1980s.     

‘LONG SLOW BOOM’?: MANUFACTURING IN NEW ZEALAND, 1945–70

Many studies of post-war New Zealand economy are highly critical both of economic policy and of the business sector, emphasising protection, complacency and sclerosis. This article argues that such accounts are excessively simplistic and, by analysing the structure and performance of New Zealand manufacturing during 1945–70, suggests that there was considerable innovation in both technological and organisational spheres. The result was that, to a greater extent than current accounts allow, New Zealand manufacturing pursued efficiency and international competitiveness.     

A STUDY OF THE LIVING CONDITIONS OF FARMERS IN TAIWAN, 1931–1950

A quantitative analysis is made herein of the Taiwanese farmhousehold economy in 1931, 1937, 1941, and 1950. The results reveal (1) farm expenditure and income for all types of farmers in 1950 were less than in 1931, the only year for which comparable figures are available; (2) in 1950 both the consumption expenses for most farmers and Engel's Coefficient for all types of farmers showed inferior conditions for that year as compared to the earlier periods; (3) secondary living expenses in 1950 only amounted to two-thirds of those in the previous periods; (4) the poor situation in 1950 was caused by the decline of the rice price ratio and of cultivated area, which combined to offset the benefits derived from rent reduction for tenants, and (5) food expenses for all the periods, however, maintained a per capita annual level of 48–49 yen at the 1937 value.     

THE LINKS BETWEEN TRADE POLICY AND TOTAL FACTOR PRODUCTIVITY IN SOUTH AFRICA'S MANUFACTURING SECTOR1

This paper reconfirms the important links that exist between manufacturing productivity, trade orientation, industry specific characteristics and some macroeconomic variables. The dynamic GMM estimator used in the analysis shows that apart from being affected by trade measures, total factor productivity is strongly persistent. In addition, the evolution of the real exchange rate and inflation exert important effects on manufacturing productivity. Most importantly, the dynamic error component specification appears to be more efficient in modelling the effects on manufacturing productivity of policy change than the static approach.     

INCOME INEQUALITY IN THE PHILIPPINES, 1961–91

Household income inequality in the Philippines remains high and the trends for three decades have been fairly stable except for a sharp decline in the mid-1980s. Gini coefficient of income inequality has been consistently close to 0.50. Urbanization and education of household head are the most important factors determining the level of income inequality while the contribution of age of head is limited. The increase in the number of urban households results in an increase of overall inequality while the increase in the number of household heads with a college education tends to decrease the inequality. Among the household income sources, wage income is the largest contributor to total income inequality. Wage rate inequality appears to be a major source of wage income inequality.