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JIET (Jurnal Ilmu Ekonomi Terapan)

JIET
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Published by Universitas Airlangga

ISSN : 25411470 EISSN : 25281879 DOI : -

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Jurnal Ekonomi Terapan (JIET) mengundang naskah dalam berbagai topik termasuk, tetapi tidak terbatas pada, kebijakan moneter, kebijakan fiskal, kebijakan dan keuangan internasional, kajian ekonomi gender, perlindungan sosial, ekonomi sumberdaya alam dan lingkungan, ekonomi politik.

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Articles 5 Documents

Search results for , issue "Vol. 1 No. 1 (2016)" : 5 Documents clear

Environmental Technical Efficiency Measurement of Processing Industry in East Java in 2006-2009 Ratih Twi Septiriana; Deni Kusumawardani
JIET (Jurnal Ilmu Ekonomi Terapan) Vol. 1 No. 1 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

CO2 emission is the greatest source of global warming that pose serious threats on environment, ecology, and socio-economic system. In the production process, CO2 is considered as undesirable output that always rises as long as desirable output is produced. Indonesia, as the one of the biggest emitters of CO2 emission, has been committing in reducing emission up to 26 percent for 2020. Using panel data, stochastic frontier analysis (SFA) utilized to evaluate the environmental technical efficiency of manufacturing industry in Java on 2006-2009. The trans-log hyperbolic distance function has been chosen since this model can accommodate environmental characteristic of production technology. The empirical result shows the average environmental technical efficiency is 0,834. This study also investigates the factors that explain the level of environmental technical efficiency of firm. The results reveal that there are seven factors that significantly affect environmental technical efficiency namely: firm size, ownership status and foreign investment, type of industry, composition effect, scale effect, and technical effect. The finding of this paper indicates that environmental technical efficiency among manufacturing industry in Java still can be improved by focusing on those seven factors.

Subjective Well-being Individu dalam Rumah Tangga Di Indonesia Ista Aryogi; Dyah Wulan Sari
JIET (Jurnal Ilmu Ekonomi Terapan) Vol. 1 No. 1 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Well-being is multi-dimensional development goals because well-being can not be seen only from individual income, but also the entire condition such as health and education. Complexities in measuring well-being made economists try to measure the individual well-being with subjective well-being approach. One of subjective well-being’s variable is the happiness. This study aims to examine the factors determining the individual happiness in Indonesia. Those factors consist of per capita expenditure, personal assets, and individual characteristics, including yearly working hours, years of schooling, health status, marital status, age, and gender. This study uses logistic and probit regression. Object of this study is the individuals in household based on SUSENAS’s representation that was obtained from Indonesia Family Life Survey in 2007. This research found that income is stil being main determinant of individual happiness. Significant results also were found in the variables of schooling, health status, marital status, and u-shaped in age. From these results, increasing income through various sectors of the economy is needed to reach a higher level of well-being. Health and education should also receive support through infrastructure improvements. Thus, there will be more people that are able to improve their well-being.

Comparative Study of Poverty in Indonesia: Multidimensional Poverty And Monetary Poverty Tegar Rismanuar Nuryitmawan
JIET (Jurnal Ilmu Ekonomi Terapan) Vol. 1 No. 1 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Research on poverty has long been done by various methods and approaches. Approach to identifying the poor in general by calculating consumption expenditure or income revenue. The calculation is then known as monetary poverty. Indonesia also use and implemented that approach. However, some experts believe that monetary poverty approach does not capture the whole cause of poverty because the indicator calculation not enough. Though poverty is a multidimensional phenomenon that involves not only the economic aspects but involves other aspects. Using secondary data from Indonesian family Life survey, this study proposes to calculate the multidimensional poverty index and estimates the poor based on two approaches, multidimensional poverty and monetary poverty. Calculating the poverty by alkire foster method, whereas to estimate multidimensional poverty and Monetary Poverty using logistic regression. The Results for Alkire-Foster calculation method show that identify of poor by multidimensional poverty greater than the monetary poverty. Generally, the standard of living dimension contributes most to the multidimensional poverty index. Standard living dimension was believed to be the dimension that explains the nature of households that are directly related to the everyday household behavior. Meanwhile, estimation of monetary poverty shows that variable consumption per capita, the head of the household sector employment, hours of work, household size and household asset ownership affect the identification of poverty. Only education variable is not significant effect on the identification of poverty. Base on those finding, education has two possibilities to affect poverty one significant affect multidimensional poverty, while for monetary hasn’t affect.

Total Factor Productivity (TFP) of Textile Industry and Textile Products in Indonesia for the Period 2005-2009 Henny Kurniawaty
JIET (Jurnal Ilmu Ekonomi Terapan) Vol. 1 No. 1 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

The Textile Industry and Product (TPT) are one of the industries that have export orient and has a market target or has a huge role in creating PDB of non-oil and natural gas manufacture industry. The main aspect to solve the work of TPT industry sector are the efficiency aspect, high productivity, and technological progress. This study counts the growth of Total Factor Productivity (TFP) in the industry of TPT in Indonesia from 2005 to 2009 by using panel data firm level. The growth count of TFP used Stochastic Analysis Frontier (SFA) method with 2 models, Cobb-Douglas and Translog’s model. The development of TFP is decomposed into 3 components: technical efficiency change, technical change, and scale efficiency change. The average growth rate of TFP in the industry of TPT in Indonesia is 2 percent. The major establishment component of growth formation of TFP is technical change, in which the average rate is over 1 percent, while the average technical efficiency change is 1 percent. It shows that the efficiency is stable or it does not change from time to time and for the average rate scale efficiency change is very tinny, it is under 1 percent. The influence of wages on the growth of TFP is very tinny; besides, the foreign property influences the growth of TFP in the industry of TPT in Indonesia.

Analysis of the Total Value of Productivity Factors in the Manufacturing Industry in East Java Rizal Rahmat Darmawan
JIET (Jurnal Ilmu Ekonomi Terapan) Vol. 1 No. 1 (2016)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

This paper aims to find out total productivity factor (TFP) at east java manufacture by using Stochastic Frontier Analysis. By using industrial survey data at firm level between 2009 and 2010, this paper obtains that east java manufacture has slight negative changes (0,0000006). Furthermore, this paper obtains the result of scale and technological efficiency changes in Cob-Douglas production function for manufacture industry at East Java are 10,13 percent and 3,24 percent, respectively. The average of TFP in east java manufacture industry is 13,4. Textile industry and tobacco industry have lower TFP than other industry, which are 12,8 for each industry. While, metal industry has high TFP than among other industries (15.0). To improve productivity of manufacture industry in East Java, production scale and connectivity between regions need to be lifted up.

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