Productivity of nations: a stochastic frontier approach to TFP decomposition

This Paper Tackles the Problem of Aggregate Tfp Measurement Using Stochastic Frontier Analysis (Sfa). Data From Penn World Table 6.1 are Used to Estimate a World Production Frontier For a Sample of 75 Countries Over a Long Period (1950-2000) Taking Advantage of the Model Offered By Battese and Coelli (1992). We Also Apply the Decomposition of Tfp Suggested By Bauer (1990) and Kumbhakar (2000) to a Smaller Sample of 36 Countries Over the Period 1970-2000 in Order to Evaluate the Effects of Changes in Efficiency (Technical and Allocative), Scale Effects and Technical Change. This Allows Us to Analyze the Role of Productivity and Its Components in Economic Growth of Developed and Developing Nations in Addition to the Importance of Factor Accumulation. Although not Much Explored in the Study of Economic Growth, Frontier Techniques Seem to Be of Particular Interest For That Purpose Since the Separation of Efficiency Effects and Technical Change Has a Direct Interpretation in Terms of the Catch-Up Debate. The Estimated Technical Efficiency Scores Reveal the Efficiency of Nations in the Production of Non Tradable Goods Since the Gdp Series Used is Ppp-Adjusted. We Also Provide a Second Set of Efficiency Scores Corrected in Order to Reveal Efficiency in the Production of Tradable Goods and Rank Them. When Compared to the Rankings of Productivity Indexes Offered By Non-Frontier Studies of Hall and Jones (1996) and Islam (1995) Our Ranking Shows a Somewhat More Intuitive Order of Countries. Rankings of the Technical Change and Scale Effects Components of Tfp Change are Also Very Intuitive. We Also Show That Productivity is Responsible For Virtually All the Differences of Performance Between Developed and Developing Countries in Terms of Rates of Growth of Income Per Worker. More Important, We Find That Changes in Allocative Efficiency Play a Crucial Role in Explaining Differences in the Productivity of Developed and Developing Nations, Even Larger Than the One Played By the Technology Gap

A evolução da produtividade total de fatores na economia brasileira: uma análise do período pós-real

A presente pesquisa aplica o modelo de fronteira estocástica de produção para as indústrias de transformação e da construção civil, assim como para o comércio e os serviços no Brasil, de forma a identificar as fontes de crescimento dos principais setores de atividade da economia brasileira, quais sejam: acumulação de capital físico, emprego da mão-de-obra, e produtividade total de fatores (PTF). Conforme Kumbhakar (2000), a evolução da PTF é decomposta em progresso técnico, mudanças da eficiência técnica, mudanças da eficiência alocativa e efeitos de escala. O estudo parte de dados de 1996 a 2000 das principais pesquisas anuais do IBGE realizadas com firmas: PAIC, PIA, PAC e PAS.

Infrastructure and productivity in Latin America: is there a relationship in the long run?

This article analyses the relationship between infrastructure and total factor productivity (TFP) in the four major Latin American economies: Argentina, Brazil, Chile and Mexico. We hypothesise that an increase in infrastructure has an indirect effect on long-term economic growth by raising productivity. To assess this theory, we use the traditional Johansen methodology for testing the cointegration between TFP and physical measures of infrastructure stock, such as energy, roads, and telephones. We then apply the Lütkepohl, Saikkonen and Trenkler Test, which considers a possible level shift in the series and has better small sample properties, to the same data set and compare the two tests. The results do not support a robust long-term relationship between the series; we do not find strong evidence that cuts in infrastructure investment in some Latin American countries were the main reason for the fall in TFP during the 1970s and 1980s.

Um estudo sobre a produtividade total dos fatores em setores de diferentes intensidades tecnólogicas

Este trabalho investigou o problema da determinação da produtividade total dos fatores em diversos setores industriais. Tal determinação se dá por meio de estimação de funções de produção, obtendo-se a produtividade a partir do resíduo destas estimações. A questão que aflora deste procedimento é a existência de correlação entre os resíduos e as variáveis explicativas, implicando em diversos vieses, entre eles o de simultaneidade, de variáveis omitidas e de seleção. Neste trabalho foram abordados diversos métodos de estimação de funções de produção, entre eles os métodos de Olley e Pakes e Levinsohn e Petrin. Todos os métodos foram aplicados a diversos setores da economia. A escolha dos setores se deu com base na intensidade tecnológica de cada um, sendo então escolhidos quatro setores de alta intensidade tecnológica e quatro de baixa intensidade tecnológica. A hipótese básica, fio condutor deste trabalho, é que os diversos métodos de estimação de funções de produção apresentam diferentes resultados quando aplicados a setores de diferentes intensidades tecnológicas. Um dos objetivos deste estudo foi identificar se determinado método seria mais adequado a setores de baixa intensidade tecnológica, enquanto outro seria mais apropriado a setores de alta intensidade tecnológica. Conclui-se que o método de Olley e Pakes é levemente superior ao de Levinsohn e Petrin em ambos os grupos de setores, mas não a ponto de se descartar o segundo método. A sensibilidade dos resultados aos diferentes métodos sugere que todos devem ser consultados. Um resultado adicional deste trabalho é a constatação de que houve queda ou estagnação da produtividade nos setores selecionados para a década de 1996 a 2005.

The evolution of TFP in Latin America: high productivity when distortions were high?

Due to widespread government intervention and import-substitution industrialization, there has been a general presumption that Latin America has been much less productive than the leading economies in the last decades. In this paper, however, we show that until the late seventies Latin America had high total factor productivity (TFP) levels relative to the US and other regions. It is only after the late seventies that we observe a fast decrease of relative TFP in Latin America. Results are robust to the use of diferent methodologies and data sources.

Trade barriers and productivity growth: cross-industry evidence

This article investigates the impact of trade protection on the evolution of labor productivity and total factor productivity (TFP) of the Brazilian manufacturing sector. An annual panel-dataset of 16 industries for the years 1985 through 1997, a period that includes a major trade liberalization, was used. The regressions reported here are robust to openness indicator (nominal tari®s and e®ective protection rate were used), control variables and time period and suggest that barriers to trade negatively a®ects productivity growth at industry level: those sectors with lower barriers experienced higher growth. We were also able to link the observed increase of industry productivity growth after 1991 to the widespread reduction on exective protection experienced in the country in the nineties.

Distortions in the investment goods sector and productivity decline

We study the impact of distortions in the investment goods sector on aggregate total factor productivity (TFP). We develop a two-sector neo-classical growth model in which TFP in the capital goods sector relative to TFP in the consumption sector is inversely related to the price of investment relative to consumption, so that we use relative prices to measure TFP in the investment goods sector. The model is calibrated to Brazil and we nd that distortions in the investment goods sector may explain most of the decline in Brazilian TFP relative to the United States since the mid-1970s.

Technical change and factor shares

The implications of technical change that directly alters factor shares are examined. Such change can lower the income of some factors of production even when it raises total output, thus offering a possible explanation for episodes of social conflict such as the Luddite uprisings in 19th century England and the recent divergence in the U. S. between wages for skilled and unskilled labor. An explanation also why underdeveloped countries do not adopt the latest technology but continue to use outmoded production methods. Total factor productivity is shown to be a misleading measure of technical progress. Share-altering technical change brings into question the plausibility of a wide class of endogenous growth models.

Productivity differences in Brazilian manufacturing firms, by industrial sector: school bullying and academic achievement

Includes bibliography

Istmo Centroamericano y República Dominicana: análisis del desempeño de las productividades individuales y total de los factores

Incluye Bibliografía

A comparative analysis of productivity in Brazilian and Mexican manufacturing industries

This article analyses productivity trends in Brazilian and Mexican manufacturing industries between 1995 and 2009, a period in which international competition intensified sharply. A total of 14 manufacturing industries are considered, using two methods based on: (i) the Leontief (1951) model to measure the consumption of intermediate goods used in production; and (ii) the analysis of total factor productivity (TFP). The studies performed show that manufacturing trends have diverged in the two countries. In Mexico, an increased need for imported goods and services was offset by a reduction in domestic goods and service requirements, and an increase in the TFP of production. In the case of Brazil, the fact that manufactured goods markets are more isolated from foreign trade seems to have contributed to a weak productivity performance.

Productivity Growth and Efficiency in Indian Banking: A Comparison of Public, Private, and Foreign Banks

India's public sector banks (PSBs) are compared unfavorably with their private sector counterparts, domestic and foreign. This comparison rests, for the most part, on financial measures of performance, and such a comparison provides much of the rationale for privatization of PSBs.In this paper, we attempt a comparison between PSBs and their private sector counterparts based on measures of productivity that use quantities of outputs and inputs. We employ two measures of productivity: Tornqvist and Malmquist total factor productivity growth. We attempt these comparisons over the period 1992-2000, comparing PSBs with both domestic private and foreign banks. Out of a total of four comparisons we have made, there are no differences in three cases, PSBs do better in two, and foreign banks in one. To put it differently, PSBs are seen to be at a disadvantage in only one out of six comparisons. It is difficult, therefore, to sustain the proposition that efficiency and productivity have been lower in public sector banks relative to their peers in the private sector.

Industrialization Policies of Korea and Taiwan and Their Effects on Manufacturing Productivity

In this paper the total factor productivity (TFP) of the manufacturing sectors in Taiwan and the Republic of Korean was measured and compared using the growth accounting method. Through descriptive analysis, inefficiency in the Korean manufacturing sectors was revealed, especially for the period prior to 1986. Also for the period posterior to 1986, it was found that TFP tended to contribute more to the value-added growth in both countries. An econometric analysis with industrialization-related variables revealed a contrast in the structure of TFP growth between the two countries. Import penetration, capital intensity, and growth of real output were estimated to exert a positive productivity impact in Taiwan, reflecting Taiwan's flexibility and superiority in factor utilization compared with Korea. It was estimated that the export ratio did not have any major productivity impact in both countries, in contrast with the results reported by the World Bank (The East Asian Miracle: Economic Growth and Public Policy, New York: Oxford University Press, 1993).

Procyclical Productivity and Returns-to-Scale in Philippine Manufacturing

The Philippines is regarded as a highly oligopolistic economy, and it is argued that this is a cause of the relative stagnation of the economy to neighbouring East Asian economies. This presumption might be associated with increasing returns to scale and market power, which are consistent with the procyclical total factor productivity that is observed in the Philippines and the United States. However, this study found no strong evidence supporting increasing returns for aggregate manufacturing and three-digit manufacturing industries during 1956-1980 in the Philippines, based on data constructed by Hooley (1985). Further, this study does not support external effect discussed in Caballero and Lyons (1992).