Sumber-sumber perbedaan upah antarindustri pada pekerja produksi dan nonproduksi di Indonesia

• Main Author: SETIAJI, Bambang
• Format: Theses and Dissertations NonPeerReviewed
• Published: Universitas Gadjah Mada 2001
• Subjects: Comparative Economic Systems; Economics
• Online Access: https://repository.ugm.ac.id/171821/; http://etd.repository.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=102
• Institution: Universitas Gadjah Mada

Keyword: wage efficiency, industry fixed effect, rents sharing, wage determination, wage gap. The purposes of this study are to reveal sources of inter industry wage gap and its interaction between production and non production workers. The data used in this thesis are based on cross sectional of BPS industrial survey. Analysis based on two-stage regression which applies GLS model. The model covers individual and industrial characteristics. The findings of the study support the hypothesis that despite labor surplus economy, industries undertake a rents sharing behavior. Such condition is proved by positive impact of value added, capital intensity, concentration ratio and foreign capital fraction on wages. However, the industries take an advantage of the weak position and lower wage reservation of female workers. In addition, the hard competition of export market shows negative impact on wages. Despite the two negative impacts, most modem industries (medium and large) provide a significant contribution to wage betterment. To sum up then, besides the mission of growth, medium and large industries, although still have weaknesses, can be viewed as an alternativeto shoulder a poverty elimination (through wage policy). The two groups of workers are revealed to have different wage determination showed through the magnitude of parameter, the sign and significance of variables. The variables that approach comparative advantage concept (export, f size and female fraction) show a pattern as if an industry m policy affects a wage discount, it tends to be allocated to production workers only. Finally, production - non production wage gap decomposition shows a significant role of industry fixed effect on their wages besides human capital factors. In 5 digit classification, 43,5 % of wage gap results from industry affiliation. The gap resulting from inter-industry labor distribution is 9 percent, and 34 percent resulting from differences in industry fixed effect. Meanwhile the model predicts that 56 % of the wage gap of the two groups results from the different effect of education, location, and intercept.