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Modeling Human Development Index of Bali with Spatial Panel Data Regression

Author

Listed:
  • Mita Lasdiyanti

    (Udayana University)

  • Eka N. Kencana

    (Udayana University)

  • Putu Suciptawati

    (Udayana University)

Abstract

Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.

Suggested Citation

  • Mita Lasdiyanti & Eka N. Kencana & Putu Suciptawati, 2019. "Modeling Human Development Index of Bali with Spatial Panel Data Regression," European Journal of Engineering and Technology Research, European Open Science, vol. 4(5), pages 132-137, April.
    • Handle: RePEc:epw:ejeng0:v:4:y:2019:i:5:id:61312
    DOI: 10.24018/ejeng.2019.4.5.1312
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