A study of multidimensional poverty management in Thailand according to the Thai people map and analytics platform (TPMAP) through provincial budget budget allocation and provincial groups, annual budget 2017-2019
| dc.contributor.advisor | Achakorn Wongpreedee | th |
| dc.contributor.author | Airawee Wiraphanphong | th |
| dc.date.accessioned | 2022-02-28T07:14:49Z | |
| dc.date.available | 2022-02-28T07:14:49Z | |
| dc.date.issued | 2020 | th |
| dc.date.issuedBE | 2563 | th |
| dc.description | Thesis (D.P.A.)--National Institute of Development Administration, 2020 | th |
| dc.description.abstract | The objectives of this research are: 1) to study the status of multidimensional poverty in Thailand based on the Thai People Map and Analytics Platform (TPMAP); 2) to investigate government policies on multidimensional poverty management through budget allocation to provinces and provincial clusters based on the TPMAP; 3) to examine the relationships between the status of multidimensional poverty and government policies on multidimensional poverty management through budget allocation to provinces and provincial clusters, and; 4) to propose the policy recommendations for addressing the problem of multidimensional poverty in Thailand. This study employs a qualitative research design using documentary research techniques. Research results show that Thailand’s multidimensional poverty status – based on the TPMAP from 2017-2019 – can be divided into five dimensions, comprised of; (1) Healthcare: Bueng Kan and the upper Northeastern cluster 1 had the highest increase in the number of poor people; (2) Living standard: Nakhon Si Thammarat, the lower Central cluster 2, and the Southern cluster (Andaman Coast) had the highest increase in the number of poor people; (3) Education: Chiang Mai, the upper Central cluster, and the Southern cluster (Gulf of Thailand) had the highest increase in the number of poor people, (4) Income: Chiang Mai, the lower Central cluster 2, and; (5) Access to public services: Loei had the highest increase in the number of poor people and the highest rate of increased poverty concentrated in the upper Northeastern cluster 2 and the middle Northeastern cluster. Budgets were allocated to addressing poverty under the following five dimensions: (1) Healthcare: Satun is the only province to receive the budget for this dimension in both 2018 and 2019. (2) Living standards: Kanchanaburi received the highest increase in budget; (3) Education: among the three provinces that received budget for this dimension in both 2018 and 2019, Samut Sakhon was provided with the highest budget. (4) Income: all provinces received budgets for this dimension except Chumphon. (5) Access to public services: Songkhla received the highest increase in budget. Study results indicate that there is no correlation between the allocation of provincial and provincial cluster budgets and the poverty status in the five studied dimensions. The provinces that had no people below the poverty line or had a continual decline in the number of people below the poverty line were provided with financial assistance, whereas the provinces with an increased number of deprived people received little or no assistance. The policy recommendations for solving multidimensional poverty in Thailand include: 1) That MPI results should be fully published; 2) all related organizations should use the same database format for long-term operations; 3) the weight of the proportion of poor people should be increased in budget allocation, project evaluation indicators should be added and the analysis of multidimensional poverty should be included in the budgeting process, and; 4) a committee consisting of representatives from civil society should be established to participate in the budgeting process at the provincial and provincial cluster levels. | th |
| dc.format.extent | 321 leaves | th |
| dc.format.mimetype | application/pdf | th |
| dc.identifier.doi | 10.14457/NIDA.the.2020.1 | th |
| dc.identifier.other | b212205 | th |
| dc.identifier.uri | https://repository.nida.ac.th/handle/662723737/5518 | th |
| dc.language.iso | eng | th |
| dc.publisher | National Institute of Development Administration | th |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | th |
| dc.subject | Multidimensional poverty | th |
| dc.subject | Thai people map and analytics platform (TPMAP) | th |
| dc.subject | Provinces and provincial groups | th |
| dc.subject | e-Thesis | th |
| dc.subject.other | Poverty -- Research | th |
| dc.title | A study of multidimensional poverty management in Thailand according to the Thai people map and analytics platform (TPMAP) through provincial budget budget allocation and provincial groups, annual budget 2017-2019 | th |
| dc.type | text--thesis--doctoral thesis | th |
| mods.genre | Dissertation | th |
| mods.physicalLocation | National Institute of Development Administration. Library and Information Center | th |
| thesis.degree.department | School of Public Administration | th |
| thesis.degree.grantor | National Institute of Development Administration | th |
| thesis.degree.level | Doctoral | th |
| thesis.degree.name | Doctor of Public Administration | th |