Linkages, Key Sectors, and Structural Change: Some New Perspectives

Abstract

Recent exchanges in the literature on the identification and role of key sectors in national and regional economies have highlighted the difficulties of consensus regarding terminology, appropriate measurement as well as economic interpretation. In this paper, some new perspectives are advanced which provide a more comprehensive view of an economy and offer the potential for uncovering alternative perspectives about the role of linkages and multipliers in input-output and expanded social accounting systems. The analysis draws on some pioneering work by Miyazawa in the identification of internal and external multiplier effects. The theoretical techniques are illustrated by reference to a set of input-output tables for the Brazilian economy. The paper thus provides a more comprehensive view than the ones proposed by Baer, Fonseca, and Guilhoto (1987), Hewings, Fonseca, Guilhoto, and and the recent contributions of Clements and Rossi (1991, 1992) that draw on some earlier work of Cella (1984).

Relaciones Intersectoriales en Magallanes: En Busca De Su Estructura Económica

“…In order to do that, input-output tables developed by the INE-Chile and MIDEPLAN are used, and which data refer to 1996. Firstly, a linkage analysis is presented, and various techniques are used for identification [Rasmussen (1956), Chenery and Watanabe (1958), Hazari (1970), Cella (1985, Sonis et al (1995), Dietzenbacher and van der Linden (1997) and Soza (2007)]. The answers are finally combined to obtain some synthetic indicators, which facilitate their interpretation as well as avoiding a profusion of results.…”

“…Para ello, se hace uso de las tablas input-output desarrollada por el INE-Chile y MIDEPLAN, cuyos datos son referidos a 1996. De esta forma, primero se presenta un análisis de encadenamientos, donde se emplean para su determinación las técnicas de Rasmussen (1956), Chenery y Watanabe (1958), Hazari (1970), Cella (1985, Sonis et al (1995), Dietzenbacher y van der Linden (1997) y Soza (2007), cuyas respuestas finalmente se conjugan en la obtención de unos indicadores sintéticos, que facilitan su interpretación y evitan, de igual manera, una profusión de resultados. En segundo lugar, se determina la sensibilidad de los coeficientes técnicos, empleando la propuesta de Schintke y Stäglin (1988), proceso que ha permitido identificar la importancia de una rama, en función de su elasticidad, por el número de coeficientes más sensibles que presenta en columnas como en filas, y, en función de la alteración de cada uno de los coeficientes por separado, siguiendo el planteamiento de Aroche, en el sentido de utilizar la teoría de Grafos (Aroche, 1996;2002, se han determinado los campos de influencia de cada actividad.…”

“…Esto es, teniendo como base un conjunto de encadenamientos medidos según distintas metodologías, se procede a realizar un análisis estructural tomando el conjunto de los procedimientos anteriormente mencionados [Rasmussen (1956), Chenery y Watanabe (1958), Hazari (1970), Cella (1984), Sonis et al (1995), Dietzenbacher y van der Linden (1997), y la alternativa recientemente presentada por Soza en 2007]. De esta manera, se espera lograr superar el inconveniente de analizar múltiples procedimientos, ya que de acuerdo a los resultados empíricos, se observa que, entre las distintas propuestas, no existe un patrón común en cuanto a las respuestas proporcionadas por cada una, aún cuando sí se observan ciertas coincidencias.…”

Agriculture-Industry Interlinkages: Some Theoretical and Methodological Issues in the Indian Context

“…It is easy to trace that except the I-O table, SAM and CGE approaches other econometric modeling and statistical causality tests have criticised because of the fact that they can estimate only the partial linkages between the sectors. In fact the I-O framework of analysis has been criticized because of its static nature and generally relate to a reference period (Sonis et al, 1995 andZakariah &Ahmed, 1999). Since all the sectors in an economy are interlinked either directly or indirectly with each other, estimating the linkages between two sectors keeping the other sectors away from the analysis not only give a partial estimate of linkages but also underestimate the linkages between the two sectors.…”

Energy Use in Agriculture Sector: Input-Output Analysis

“…They have been improved and expanded in several ways, and many different methods have been proposed for the measurement of linkages coefficients (Hazari, 1970;Yotopoulos & Nugent, 1973;Laumas, 1976;Riedel, 1976;Jones, 1976;Schultz, 1977). More recently, linkages analysis methods have again attracted increasing attention from input-output analysts (Cella, 1984;Clements, 1990;Heimler, 1991;Sonis et al, 1995;Dietzenbacher & Linden, 1997). However, each has its own advantages and disadvantages.…”