Efforts to Emphasize the Poor Population and the Affecting Factors

Authors

  • Imran Setiabudi Sihombing Universitas Negeri Medan

DOI:

https://doi.org/10.14738/assrj.61.5894

Keywords:

Economic growth, human development index, unemployment, poverty

Abstract

This study aims to determine the effect of economic growth, human development index and unemployment rate to suppress the number of poor people in North Sumatra Province for the period of 2013-2017. The data used in this study is secondary data from the publication of statistical data by Badan Pusat Statistik (Central Statistics Agency) of North Sumatra Province. These data are tabulated into a panel data structure, which is a combination of data in the form of time series and cross-section. This study uses data from 33 Regencies / Cities in North Sumatra Province to be analyzed by using the Data Panel Regression Analysis technique with the Fixed Effect approach. Empirical results prove that economic growth variables on poverty have a positive and significant effect, while the human development index and unemployment variables have insignificant effects. These data were tabulated into a panel data structure, which is a combination of data in the form of time series and cross-section. This study uses data from 33 Regencies / Cities in North Sumatra Province to be analyzed by using the Data Panel Regression Analysis technique with the Fixed Effect approach. Empirical results prove that economic growth variables on poverty have a positive and significant effect, while the human development index and unemployment variables have insignificant effects.

References

BPS. (2016a). Poverty Profile of Sumatera Utara Province. Jakarta.

BPS. (2016b). Regional Statistics of Sumatera Utara Province. Jakarta.

Breitung, J., Meyer, W., 1994. Testing for unit roots in panel data: Are wages on di⁄erent bargaining levels cointegrated? Applied Economics 26, 353—361.

Gujarati, Damodar N. (2003), Basic Econometric, 4th Edition, McGraw-Hill.

Hsiao, C. (2005). Why Panel Data? The Singapore Economic Review, 50(2), 143–154.

Im K., Pesaran, H., Shin, Y., 1997. Testing for unit roots in heterogeneous panels. Manuscript,

Department of Applied Economics, University of Cambridge.

Kaika, D., & Zervas, E. (2013). The environmental Kuznets curve ( EKC ) theory . Part B : Critical issues. Energy Policy, 1–9. https://doi.org/10.1016/j.enpol.2013.07.130

Kao, C., Chen, B., 1995a. On the estimation and inference of a cointegrated regression in panel data

when the cross-section and time-series dimensions are comparable. Manuscript, Department of

Economics, Syracuse University.

Kao, C., Chen, B., 1995b. Residual-based tests for cointegration in panel data when the cross-section

and time-series dimensions are comparable. Manuscript, Department of Economics, Syracuse

University.

Kempe, S., Hope, R., & Hope, K. R. (2007). Growth , unemployment and poverty in Botswana, (January 2015), 37–41. https://doi.org/10.1080/02589009608729581

Kuznets, S. (2012). Economic Growth and Income Inequality. American Economic Association, 45(1), 1–28. Retrieved from http://www.jstor.org/stable/1811581

Kuznets, S. (2014). Modern Economic Growth : Findings and Reflections. American Economic Association, 63(3), 247–258. Retrieved from http://www.jstor.org/stable/1914358

Lelkes, O., Medgyesi, M., & Tóth, I. G. (n.d.). The Factors Affecting the Risk of Poverty and Inequalities in Income Distribution, 45–67.

Levin, A., Lin, C.-F., 1993. Unit root tests in panel data: New results. Discussion Paper, Department

of Economics, UC-San Diego.

Mankiw, N. G. (2014). Principles of Macroeconomic. Cengage Learning.

Nurkse, R. (1953). Problems of Capital Formation in Underdeveloped Countries. England: Oxford Basis Blackwell.

Ravallion (1996) and Bramall (2001). 2 Included provinces had a poverty measures (% point change 1981–2001). Old poverty line. New poverty line. H. PG. SPG. H. PG. SPG. 1981–2001. Within rural. А14.88.

Ravallion, B. M. (2018). The Social Science Journal, 55, 210–211. https://doi.org/10.1016/j.soscij.2018.03.005

Ravallion, Martin. 2001. Poverty Comparisons. World Bank. New York. Ravetz, J. 2000. City-Region 2020 - Integrated planning for a sustainable environment.

UNDP. (2017). The Global Human Capital Report.

Quah, D., 1994. Exploiting cross section variation for unit root inference in dynamic data. Economics Letters 44, 9—19.

Wie, Thee Kian, 1981, Pemerataan Kemiskinan, Ketimpangan, Jakarta : Sinar Harapan.

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Published

2019-01-29

How to Cite

Sihombing, I. S. (2019). Efforts to Emphasize the Poor Population and the Affecting Factors. Advances in Social Sciences Research Journal, 6(1), 489–497. https://doi.org/10.14738/assrj.61.5894