Abstract
This study estimates Technical Efficiency (TE) and Total Factor Productivity (TFP) to analyze the sources of growth in the province of East Java in Indonesia. Technological progress, technical efficiency change, and scale effects are estimated through a stochastic frontier analysis (SFA) to break up different sources of growth within manufacture. This study looks at patterns of output expansion by differentiating gains from conventional sources –input growth and technological progress- and non-conventional sources –technical efficiency change and scale effects-. Results are aggregated based on tech-intensity, firm size, capital to output ratio employed, and labor skills. It also compares East Java with the other five provinces in the Java Island, the manufacturing corridor of the country. As expected, manufacturing sector is growing through input growth effects and tech progress-conventional sources- but underperforming in productivity by having negative efficiency change and negative scale effects. Labor has the largest elasticity to output (0.436), capital and raw materials have a much lower elasticity, and energy has a large negative one (-3.097) also causing a sharp increase in the cost of production. Low-tech firms, higher skills, and medium in size perform 72% better than average (TFP). MLT firms with labor-intensive and medium-size firms perform 58% better than average. However, champion industries have lower skills, good access to materials, and are less intensive in energy use. Some features of firm performance are: firm with larger portions of human skills capture the largest TE and higher TP values; those under high skills report larger losses due to negative scale effects; labor-intensive firms have larger TFP (less efficient but less exposed to energy prices).
Highlights
The province of East Java in Indonesia is second in population size and second in contribution to national GDP (15.75% of Indonesian GDP in 2013)
A particular aspect denoting a shift in manufacturing is that among low tech and medium low tech firms the number of Small and Medium Enterprise (SME) enterprises fell and the total number of employees remained at nearly same level as 2009
This article analyses the elements of growth of industrial sector in Java, the manufacturing, and service corridor of Indonesia
Summary
The province of East Java in Indonesia is second in population size (more than 39 million people in 2016) and second in contribution to national GDP (15.75% of Indonesian GDP in 2013). This paper explains sources of growth in East Java manufacturing sector, extending the classical Solow (1957) model input growth (labor, capital, raw materials and energy) and technology role, and effects due to scale component and technical efficiency. This study captures differences in TFP performance across enterprises under factors like location (province), size (large and medium), degree of Human Resource intensity (labor or skill intensity), degree of capital to output, and technology intensity.
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