Browsing by Author "Qamri, Ghulam Muhammad"

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    ARE BASIC INFRASTRUCTURES HAVE GOOD IMPACT ON POVERTY REDUCTION? AN INDONESIAN PANEL DATA ANALYSIS
    (Journal of Advanced Research in Dynamical & Control Systems, Vol. 11, 03-Special Issue, 2019) Hanim, Wasifah; Sugiartiningsih; Qamri, Ghulam Muhammad
    Poverty is multidimensional. A poor person is not only as a result of insufficient income for minimum physical needs, but also due to the lack of accessibility to productive resources. This paper empirically investigated the impact of water and sanitation infrastructure on poverty reduction. Analysis has been done for 6 years during the period 2011-2016. The research analysed the relationship between dependent variable and independent variable, as the dependent variable was poverty rate and the independent variables were infrastructures consisted of water, sanitation, and electricity. Each of variable is represented by proportion of the household for consuming water and sanitation, and electricity. Other independent variables are unemployment rate, economic growth, and mean years schooling. The relationship between dependent variable and independent variable was analysed using regression of panel data. Empirical results of the paper showed that the enhancement in consuming water and sanitation and electricity infrastructure have positive impact on reducing poverty rate.
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    IDENTIFICATION OF ADVANCE COMODITIES USING INPUT-OUTPUT ANALYSIS: SOUTH KALIMANTAN PROVINCE CASE
    (The 5th IRSA International Institute Conference, Indonesian Regional Science Association (IRSA), Faculty of Economics and Business Udayana University, 2015-08-03) Hanim, Wasifah; Qamri, Ghulam Muhammad; Lasniroha, Tetty
    In the era of regional autonomy required to explore the economic potential in order to enhance regional economic growth. For the development of an economic sector in a region should be done, it would be more effective and efficient if it is based on the consideration of the relationships in all economic sectors in moving the economy as a whole. This study aims to identify the potential economic sectors in the province of South Kalimantan. The analytical method used is the analysis of backward linkages (backward linkage) and forward linkages (forward linkage). The data used are secondary data input-output table of 50 sectors of South Kalimantan province. Based on the analysis will be produced four classifications commodity that is known commodities that have forward and backward linkages high, commodity forward linkage has particularly high but lower backward linkages, commodities that have high backward linkages but low forward linkages, which has been linked to commodities forward and backward linkages low.