scholarly journals Spatial panel data model on human development index at Central Java

2021 ◽  
Vol 1722 ◽  
pp. 012090
Author(s):  
S Yulianti ◽  
Y Widyanigsih ◽  
S Nurrohmah
2011 ◽  
Vol 361-363 ◽  
pp. 1071-1079 ◽  
Author(s):  
Wei Wei ◽  
Yi Hong Song ◽  
Zhi Hong Liu

On the basis of the spatial panel data model, this article takes a empirical study on the energy efficiency. The results are as follows. (1) The energy efficiency has the obvious spatial dependence among the provinces of China, and the influential factors of the neighboring provinces will have impacts on the special province. (2) In various factors, the most intense are the energy price and the government intervention, which displays the inverse correlation relations with the energy efficiency. Therefore, more attention must be paid to the cooperation in provinces, the marketability reform of the energy price as well as government's unreasonable intervention in the process of the improvement of the energy efficiency.


2019 ◽  
Vol 4 (5) ◽  
pp. 132-137
Author(s):  
Mita Lasdiyanti ◽  
Eka N. Kencana ◽  
Putu Suciptawati

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.


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