Suchergebnisse

This research aimed to examine the household saving behavior on formal financial institutions in urban and rural areas. The data sources of this research from the Central Bureau of Statistics (BPS), namely the 2018 Indonesia national socio-economic survey (SUSENAS) and the 2018 Indonesia village potential survey (PODES).The research sampleswere 126 539 households in urban and 168 562 households in rural spread over 34 provinces in Indonesia. The analytical method used logistic regression to determine the household behavior in the savings ownership in a formal bank institution.Several factors that affect savings ownership included socio-demographic and institutional factors. The estimation results showed that all socio-demographic factors affected savings ownership in urban, while institutional factors, namely government bank and private banks did not have a significant effect. Otherwise, institutional factors had a significant effect on savings ownership in rural, while socio-demographic factors (house ownership) did not havea significant effect. The findings were very important to improve saving behavior and provide alternative policies related to banking infrastructure development in Indonesia.

This study aims to analyze how the demographic structure affects carbon dioxide (CO2) emissions in Top Emitters, namely China, the United States, the European Union (EU-28), India, Indonesia, Russia, Brazil, Japan, Canada, and Mexico. This study uses panel data from ten countries stated in Top Emitters for the period 2000-2014 sourced from the World Resource Institute, World Bank and UNESCO Institute for Statistics. This study uses the Panel Data Regression method with the best model chosen is the Random Effect Model (REM) and four demographic structure variables, namely the dependency ratio, sex ratio, higher education ratio, industrial employment ratio. The results of this study indicate that the dependency ratio, sex ratio, higher education ratio, industrial employment ratio have a significant effect on carbon dioxide (CO2) emissions in Top Emitters. The results of this study are expected to provide policies that can be implemented by the government.Keywords: Demographic Structure, Top Emitters, Panel Data Regression MethodJEL : I25, O15, Q5

Water resources is one of the inputs in rice production. In agricultural sector, water is considered as free good or priceless despite having a high use value. That implicated to the inefficient use of water in each provinces of Indonesia including East Java with no exception. This study aims to estimate the value of water and water requirements in agriculture especially rice in East Java. This study uses two quantitative analysis methods. The first method is the Penman-Montieth to calculate the water footprint and water requirements for rice. The second is benefit transfer method to estimate the value of water in rice production. Investigated areas are cities and municipals in East Java, while the study period is 2008 to 2011.The results showed that: (1) the average of water footprint in East Java from 2008 to 2011 was 3.556 m3/ton. This value is affected by climate change, fertilizers, and yields. (2) The average of water requirements for rice in East Java from 2008 to 2011 was 35.913.244.065 m3. This value is greater than the value of water allocation is determined by the government. (3) The estimated value of water for rice production in East Java was Rp 4.500.060 per hectare for one growing season. Keywords: Water Footprint, Water Requirements, Value of Water, AgricultureJEL: Q1, Q25

Economic development is basically a series of policy efforts that have the aim of increasing the standard of living of the people, directing income distribution, and expanding employment opportunities. In efforts to develop the economy, employment is still a major issue. This is due to inequality in getting job opportunities. The growth in the number of the workforce with progress in various economic sectors is not balanced. The research seeks to study the effect of gross regional domestic product (GRDP), provincial minimum wage (PMW) and inflation on the open unemployment rate in East Java province. The research uses secondary data for the period 2006 - 2017 which consists of the value of GRDP, East Java PMW, East Java province inflation, and East Java province open unemployment rate. By applying regression using panel data regression analysis, the research results show that GRDP and Inflation has a negative and significant effect on the open unemployment rate in East Java. The PMW has a positive and significant effect on the open unemployment rate in East Java Province. Nevertheless, the research highlights effect relation and government policy instruments.