Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "f8e3cd9e-012c-46f3-99d3-3be3bf2d9f27"}, "_deposit": {"id": "1316", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "1316"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/1316", "sets": ["1582965639643", "user-yueco"]}, "author_link": [], "communities": ["yueco"], "control_number": "1316", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Why Rural People are Poor?: A Case Study on Rural Area of Dry Zone in Sagaing Region (Thar Htay , 2016)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The study aims to analyze the extent of poverty and income inequality and the causes of poverty in the rural area of Dry Zone in Sagaing Region. Head count index and the poverty gap index are used to measure the extent of poverty while Lorenz curve. Based on the data from survey data, the logistic regression model is used to find out the causes of poverty in the study area. The survey on NGOs and Focus Group Discussion (FGD) are also used to identify the causes. The results show that 49.60 percent of respondents in study area are poor. The logistic regression results reveal that household size, age dependency ratio, economic dependency ratio, land ownership, number of source of income, accessibility of information and the accessibility of irrigation water have significantly affect the poverty condition in this area. The results of survey on NGOs and FGD have demonstrated that the causes of poverty in the study area are limited job opportunity , lack of human resource development, poor road and transportation facilities, weak access to credit, no irrigation water, insufficient information, knowledge , and effort and large household size."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Poverty"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-05-05"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Thar Htay.pdf", "filesize": [{"value": "21784 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 21784000.0, "url": {"url": "https://meral.edu.mm/record/1316/files/Thar Htay.pdf"}, "version_id": "d94880cc-7e39-4621-a288-9a1f90164d4b"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "Yangon University of Economics Research Journal"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "THAR HTAY"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2016-01-01"}, "item_title": "Why Rural People are Poor?: A Case Study on Rural Area of Dry Zone in Sagaing Region (Thar Htay , 2016)", "item_type_id": "21", "owner": "1", "path": ["1582965639643"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000001316", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2020-03-05"}, "publish_date": "2020-03-05", "publish_status": "0", "recid": "1316", "relation": {}, "relation_version_is_last": true, "title": ["Why Rural People are Poor?: A Case Study on Rural Area of Dry Zone in Sagaing Region (Thar Htay , 2016)"], "weko_shared_id": -1}
  1. Yangon University of Economics
  2. Yangon University of Economics Research Journal and Universities Research Journal

Why Rural People are Poor?: A Case Study on Rural Area of Dry Zone in Sagaing Region (Thar Htay , 2016)

http://hdl.handle.net/20.500.12678/0000001316
http://hdl.handle.net/20.500.12678/0000001316
823d05ad-8cd1-47ab-899f-74d857131f9f
f8e3cd9e-012c-46f3-99d3-3be3bf2d9f27
None
Preview
Name / File License Actions
Thar Thar Htay.pdf (21784 Kb)
license.icon
Publication type
Journal article
Upload type
Publication
Title
Title Why Rural People are Poor?: A Case Study on Rural Area of Dry Zone in Sagaing Region (Thar Htay , 2016)
Language en
Publication date 2016-01-01
Authors
THAR HTAY
Description
The study aims to analyze the extent of poverty and income inequality and the causes of poverty in the rural area of Dry Zone in Sagaing Region. Head count index and the poverty gap index are used to measure the extent of poverty while Lorenz curve. Based on the data from survey data, the logistic regression model is used to find out the causes of poverty in the study area. The survey on NGOs and Focus Group Discussion (FGD) are also used to identify the causes. The results show that 49.60 percent of respondents in study area are poor. The logistic regression results reveal that household size, age dependency ratio, economic dependency ratio, land ownership, number of source of income, accessibility of information and the accessibility of irrigation water have significantly affect the poverty condition in this area. The results of survey on NGOs and FGD have demonstrated that the causes of poverty in the study area are limited job opportunity , lack of human resource development, poor road and transportation facilities, weak access to credit, no irrigation water, insufficient information, knowledge , and effort and large household size.
Keywords
Poverty
Journal articles
Yangon University of Economics Research Journal
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-03-08 15:40:09.288254
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL