Digital Poverty Conditionsfor East Java in Fourth Industrial Revolution
Dyah Anisa Permatasari1, Lilik Sugiharti2, Ahmad Fudholi3
1Dyah Anisa Permatasari, Department of Economics, Faculty of Business and Economics, Universitas Airlangga, Surabaya, Indonesia.
2Lilik Sugiharti, Department of Economics, Faculty of Business and Economics, Universitas Airlangga, Surabaya, Indonesia.
3Ahmad Fudholi, Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12450-12456 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9249118419/2019©BEIESP | DOI: 10.35940/ijrte.D4424.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In terms of the use of information and communication technology (ICT), the East Java government actually needs to identify the groups most affected by the lack of digital inclusion. This is in accordance with one of the nawa bhakti satya’s visions, namely the strengthening of people’s basic rights and social disruption brought about by the 4.0 technological revolution. Budgetary wastage will occur if we do not know the size of digital poverty in urban districts, especially if various public services are in digital form, but not everyone who uses these public services understands digital.In this study, individual micro data from the 2015 and 2017 of National Socioeconomic Survey districts/ cities in East Java was used which will be aggregated with Podes data for 2018. This is seen as strong enough to analyze the factors affecting district/ city digital poverty in East Java. To map the conditions of digital poverty, classifies districts/ cities into four quadrants as seen from digital poverty and economic poverty, while to find out what factors influence digital poverty are carried out testing the structural relationship between variables using the ordinal logistic regression method.This study is analyze the condition of digital poverty along with the factors that influence it both from economic conditions, demographic conditions, and the availability of infrastructure in districts/ cities in East Java. In addition, it is hoped that the analysis in this study will be able to provide consideration for policy makers in dealing with digital poverty issues, especially pro-poor telecommunications communication policies.
Keywords: Digital Poverty Index, Economic Poverty Index, Quadrant Analysis, Logit Ordinal Regression.
Scope of the Article: Construction Economics.