ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. (-FY2017) Growth and Poverty Reduction
  2. Analyses of Multifaceted Poverty and Poverty Dynamics in Indonesia

Measurements and Determinants of Multifaceted Poverty:Absolute, Relative, and Subjective Poverty in Indonesia

https://doi.org/10.18884/00000657
https://doi.org/10.18884/00000657
5b4ca0e2-3c6a-43c4-974f-4965351eaf6a
名前 / ファイル ライセンス アクション
JICA-RI_WP_No.54_2013.pdf JICA-RI_WP_No.54_2013.pdf (732.0 kB)
license.icon
Item type 報告書 / Research Paper(1)
公開日 2013-02-18
タイトル
タイトル Measurements and Determinants of Multifaceted Poverty:Absolute, Relative, and Subjective Poverty in Indonesia
言語
言語 eng
キーワード
主題Scheme Other
主題 Absolute Poverty
キーワード
主題Scheme Other
主題 Relative Poverty
キーワード
主題Scheme Other
主題 Subjective Poverty
キーワード
主題Scheme Other
主題 Subjective Well-Being
キーワード
主題Scheme Other
主題 Multidimensional Poverty Analysis
キーワード
主題Scheme Other
主題 Indonesia
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18ws
資源タイプ research report
ID登録
ID登録 10.18884/00000657
ID登録タイプ JaLC
報告年度
日付 2013-02-18
日付タイプ Issued
著者 Dartanto, Teguh

× Dartanto, Teguh

WEKO 754

en Dartanto, Teguh

Search repository
Otsubo, Shigeru

× Otsubo, Shigeru

WEKO 755

en Otsubo, Shigeru

Search repository
抄録
内容記述タイプ Abstract
内容記述 The notion of ‘poverty’ is diversified and dynamic. It varies across countries with different socio-economic norms. It may also change over time even in the same society, with different stages of social and economic development. A country may be struggling with absolute poverty at the early stages of development, while it may well be more concerned with relative and/or subjective poverty as its average per-capita income increases. This article intends to conduct an exploration of multiple poverty measures by looking into the absolute, relative and subjective poverty incidence in Indonesia. Using the 2005 National Socio-Economic Survey (Susenas), we observed that there was a roughly 28 percentage-point difference in the poverty headcount ratios computed by applying absolute (14.47%) and subjective (42.03%) poverty. There were virtually no correlations among the poverty rankings in the provinces of Indonesia obtained by five poverty metrics. Results of logit model and ordered logit model estimations of the possible determinants of poverty indicate that the main determinants of poverty are educational attainment, number of household members, physical assets (land and house ownership), existence of migrant workers (possible remittances), negative shocks of layoffs and/or health problems, development of public services, and the availability of road infrastructure. A higher educational attainment increases the probability of never being poor in any of the five poverty metrics by almost 11 percentage points. This study also confirmed that households having less than society’s averages in terms of the physical asset of land and consumption of durable goods and fashion tended to subjectively asses themselves as poor. The study suggests that any poverty alleviation programs should consider relative impacts among beneficiaries and non-beneficiaries within each locality and across provinces.
号
号 Working Paper;54
戻る
0
views
See details
Views

Versions

Ver.1 2023-05-15 13:09:41.139229
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3