Inefisiensi, stagnasi teknologi,dan total faktor produktivitas industri manufaktur usaha menengah dan usaha besar: pendekatan stochastic production frontier
Technical inefficiency, technological stagnation, and total factor productivity in medium and large-scaled manufacturing industiy: a stochastic production frontier approach
Date
2007Author
Sirait, Hisar
Tambunan, Mangara
Sinaga, Bonar M.
Siregar, Hermanto
Sinaga, Rudolf S.
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This research is generally aimed at studying the production capability, technological change, technical efficiency and the sources of growth of medium and large enterprise using the concept of stochastic production frontier function. In particular, the aim of the study is to analyze: (I) the performance of Indonesian manufacturing industries such as production, input elasticity, economic of scale, (2) the technological change and its impact on the use of production factor, (3) the level of technical inefficiency and its causes, and (4) the total factor productivity growth of medium and large enterprise. The estimation model for production function used translog stochastic production frontier using labor, capital, raw materials, and exogenous technology as inputs. The calculation of input elasticity, economic scale, technological change, technical inefficiency and the total factor productivity growth follows inefficiency model in time varying conditions of technical inefficiency using pooled data (cross section 6 sectors from 1997 to 2002). The model was estimated using the maximum likelihood estimation method by choosing the estimation of technical efficiency effect model (TE-Effect Model). The result showed that: (I) the translog stochastic production frontier model could explain the production phenomenon a:ld inefficiency effect occurring in manufacturing industries in Indonesia, (2) the economic of scale of Indonesian manufacturing industries was in the condition of increasing return to scale with the output elasticity on labor higher than that on capital, (3) medium scaled industries tended to be more efficient than large scaled industries whose sources of inefficiency had already been identified, among them are production capacity, access to financial market, export activities, tax, and energy utilization which had a positive impact on the effort to decrease technical inefficiency, while the use of women's labor tended to bring about the increase of technical inefficiency, (4) technological change indicated the availability of technological progress but the change was decreasing rate which would supposedly result in the technological stagnation in the future, and (5) the technological ch~mge was the main source of the growth of total productivity factor then followed by the change of economic scale and technical efficiency. Penelitian ini bertujuan untuk mempelajari kemampuan produksi, kemajuan teknologi, efisiensi teknis dan sumber-sumber pertumbuhan usaha menegah dan usaha besar dengan menggunakan konsep stochastic production jUnction. Secara khusus tujuan penelitian ini: (I) menganalisis keragaan industri manufaktur Indonesia yang mencakup aspek produksi, elastisitas input dan skala usaha, (2) menganalisis perubahan teknologi dan dampaknya terhadap penggunaan faktor produksi, (3) menganalisis tingkat inefisiensi teknis dan faktor-faktor penyebab inefisiensi teknis, dan (4) menganalisls pertumbuhan total factor produktivitas industri manufuktur usaha menengah dan usaha besar. Model pendugaan fungsi produksi menggunakan translog stochastic production frontier dengan menggunakan faktor produksi tenaga keIja, kapital, bahan baku dan teknologi yang diproksi dengan variabel waktu. Penghitungan elatisitas output terhadap faktor produksi, skala usaha, perubahan teknologi, inefisiensi teknis dan pertumbuhan total faktor produktivitas mengikuti model inefisiensi dalam kondisi time varying inefisiensi teknis dengan menggunakan pool data (cross section 6 sektor industri dan time series tahun 1997-2002. Model diestimasi dengan metode maximum likelihood estimation dengan pendugaan Technical Efficiency Effect Model(TE-Effect Model).
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