| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Hoang, Vu Quang | |
| dc.date.accessioned | 2023-11-01T10:24:26Z | - |
| dc.date.available | 2023-11-01T10:24:26Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 1968-0020 | |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58705 | - |
| dc.description | agricultural economy | |
| dc.description.abstract | Purpose – The purpose of this paper is to identify the determinants of the proportion of communes that met all national new rural criteria (hereafter NRD communes). Design/methodology/approach – First, the method of propensity score (PS) stratification is used to classify 63 provinces into the subgroups. Second, the ordinary least squares (OLS) model is used with the subgroups classified from the PS stratification method as one of explicative variables. The dependent variable in the OLS model is the proportion of NRD communes. Findings – With the sample of 63 provinces of Vietnam, the author found that per capita income growth rate, high growth of gross regional domestic product (GRDP) and effort of the provincial authority have positive impact on the proportion of NRD communes. Practical implications – This research suggests that the provincial authority should actively participate in the NRD program, and the economic development is key factor for success implementation of the NRD program. Originality/value – This research contributes to understand the factors impacting the result of the NRD program and then help to identify the measures to support this program. | |
| dc.description.tableofcontents | 1. Introduction; 2. Research model; 3. Research methodology; 4. Result and discussion; 5. Conclusion | |
| dc.format.extent | Khổ 21 x 29.7 | |
| dc.language.iso | en | |
| dc.publisher | Kinh Tế Quốc Dân | |
| dc.subject | New rural development | |
| dc.subject | Public budget | |
| dc.subject | Effort | |
| dc.subject | Propensity score stratification | |
| dc.subject | OLS model Paper type Research | |
| dc.title | Determinants of the result of new rural development program in Vietnam | |
| dc.type | Journal of Economics and Development | |
| dc.identifier.barcode | 10-1108_JED-12-2019-0076 | |
| dc.relation.reference | Austin, P.C. (2014), “A comparison of 12 algolorithms for matching on the propensity score”, Statistics in Medecine, Vol. 33 No. 6, pp. 1057-1069. Bai, H. (2013), “A bootstrap procedure of propensity score estimation”, Journal of Experimental Education, Vol. 81, pp. 157-177. CEMA (2013), Decision No. 447/QD-UBDT Dated 19 September 2013 of Minister of Committee for Ethnic Minority Affairs on the Approving Extreme Difficult Villages, Commune Belongs to Areas of I, II, III of Ethnic Minority and Mountainous Areas in the Period 2012-2015. Cochran, W.G. (1968), “The effectiveness of adjustment by subclassification in removing bias in observational studies”, Biometrics, Vol. 24 No. 2, pp. 295-313. CSC-NTPs (2019), “Summary report of 10 years of the implementation of national target program on new rural development in the period 2010–2020”, Report of Central Steering Committee on National Target Programs in the Period 2016–2020 (CSC-NTPs). D’attoma, I., Camillo, F. and Clark, M.H. (2017), “A comparison of bias reduction methods: clustering versus Propensity score Subclassification and Weighting”, The Journal of Experimental Education, Vol. 87 No. 13, pp. 1-22. Dinh, N.T., Quang, H.V., Binh, V.T., Huan, D.D., Cuong, N.M., Hung, D.C., Luan, N.N. and Lenh, T.N. (2010), “Study of scientific base for proposing the policy aming to mobilize internal resources from the people in the Northern Mountainous region in the new rural building”, Study Report to Ministry of Agricultur and Rural Development of Vietnam. Garrido, M., Kelly, A.S., Paris, J., Rosa, K., Meier, D.E., Morrison, R.S. and Aldridge, M.D. (2014), “Methods for constructing and assessing propensity scores”, Health Services Research, Vol. 49 No. 5, pp. 1701-1720. Gibson, C.M. (2003), “Privileging the participants: the importancee of subgroup analysis in social welfare evaluation”, American Journal of Evaluation, Vol. 24, pp. 443-469. GSO (2017), Statistical Yearbook of Vietnam, Statistical Publishing House, Ha Noi, Vietnam. GSO (2019), Statistic data, available at: https://www.gso.gov.vn/Default.aspx?tabid=706&ItemID=13412 (accessed 30 November 2019). Hade, E.M. and Lu, B. (2014), “Bias associated with using the estimated propensity score as a regression covariate”, Statistics in Medicine, Vol. 33 No. 1, pp. 74-87, doi: 10.1002/sim.5884. Kearney, B., Boyle, G.E. and Walsh, J.A. (1995), EU Leader I Initiative in Ireland: Evaluation and Recommendations, Department of Agriculture, Food and Forestry, Dublin. Kulkarni, G.S. and Rajan, R.S. (1991), “Perceptions of development as empowerment”, in O’Cinneide, M. and Grimes, S. (Eds), Planning and Development of Marginal Areas, Centre for Development Studies, UCG, Galway. Effects of NRD program in Vietnam 89 Luan, N.N., Quang, H.V., Huong, N.M., Son, H.T., Cuong, N.M., Huong, L.V. and Bao, P.T. (2011), “ Studying experience in mobilizing community resources in new rural building in order to propose policy, mechanism for new rural building program” , Study Report to Ministry of Agricultur and Rural Development of Vietnam. Moseley, M.J. and Gaskell, P.T. (1994), “Forest of dean rural development area: a study of` need’ and of the scope for `targeting”, Mimeo, Countryside and Community Research Unit, Cheltenham and Gloucester College of Higher Education. OECD (1990), Rural Development Policy, OECD, Paris. Peck, L.R. (2005), “Using cluster analysis in program evaluation”, Evaluation Review, Vol. 29, pp. 178-196. Prime Minister (2010), “Decision No.800/2010/QÐ-TTg dated on June 04 2010 approving the national target program on building a new countryside during 2010-2020”. Quang, H.V. (2016), “Contribution of rural houseolds to local socio-economic development”, Journal of Economics and Development, No. 232(II), pp. 50-56. Rosenbaum, P.R. and Rubin, D.B. (1983), “The central role of the propensity score in observational studies for causal effects”, Biometrika, Vol. 70 No. 1, pp. 41-55. Rosenbaum, P.R. and Rubin, D.B. (1984), “Reducing bias in observational studies using subclassification on the propensity score”, Journal of the American Statistical Association, No. 79, pp. 516-524. Schafer, I.L. and Kang, J. (2008), “Average causal effects from nonrandomized studies: a practical guide and simulated example”, Psychological Methods, Vol. 13, pp. 279-313. Shadish, W.R. and Steiner, P.M. (2010), “A primer on propensity score analysis”, Newborn and Infant Nursing Reviews, Vol. 10 No. 1, pp. 19-26. Stone, C.A. and Tang, Y. (2013), “Comparing propensity score methods in balancing covariates and recovering impact in small sample educational prpgram evaluations”, Practical Assessment, Research and Evaluation, Vol. 18 No. 13, pp. 1-12. Stuart, E.A. (2010), “Matching methods for causal inference: a review and look forward”, Statistical Science, Vol. 25 No. 1, pp. 1-21. Yoshikawa, H., Rosman, E.A. and Hsueh, J. (2001), “Variation in teenage mothers’ experiences of child care and other components of welfare reform: selection processes and development consequences”, Child Development, Vol. 72, pp. 299-317. | |
Bộ sưu tập | 02. Tạp chí (Tiếng Anh) | |
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| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Hoang, Vu Quang | |
| dc.date.accessioned | 2023-11-01T10:24:26Z | - |
| dc.date.available | 2023-11-01T10:24:26Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 1968-0020 | |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58705 | - |
| dc.description | agricultural economy | |
| dc.description.abstract | Purpose – The purpose of this paper is to identify the determinants of the proportion of communes that met all national new rural criteria (hereafter NRD communes). Design/methodology/approach – First, the method of propensity score (PS) stratification is used to classify 63 provinces into the subgroups. Second, the ordinary least squares (OLS) model is used with the subgroups classified from the PS stratification method as one of explicative variables. The dependent variable in the OLS model is the proportion of NRD communes. Findings – With the sample of 63 provinces of Vietnam, the author found that per capita income growth rate, high growth of gross regional domestic product (GRDP) and effort of the provincial authority have positive impact on the proportion of NRD communes. Practical implications – This research suggests that the provincial authority should actively participate in the NRD program, and the economic development is key factor for success implementation of the NRD program. Originality/value – This research contributes to understand the factors impacting the result of the NRD program and then help to identify the measures to support this program. | |
| dc.description.tableofcontents | 1. Introduction; 2. Research model; 3. Research methodology; 4. Result and discussion; 5. Conclusion | |
| dc.format.extent | Khổ 21 x 29.7 | |
| dc.language.iso | en | |
| dc.publisher | Kinh Tế Quốc Dân | |
| dc.subject | New rural development | |
| dc.subject | Public budget | |
| dc.subject | Effort | |
| dc.subject | Propensity score stratification | |
| dc.subject | OLS model Paper type Research | |
| dc.title | Determinants of the result of new rural development program in Vietnam | |
| dc.type | Journal of Economics and Development | |
| dc.identifier.barcode | 10-1108_JED-12-2019-0076 | |
| dc.relation.reference | Austin, P.C. (2014), “A comparison of 12 algolorithms for matching on the propensity score”, Statistics in Medecine, Vol. 33 No. 6, pp. 1057-1069. Bai, H. (2013), “A bootstrap procedure of propensity score estimation”, Journal of Experimental Education, Vol. 81, pp. 157-177. CEMA (2013), Decision No. 447/QD-UBDT Dated 19 September 2013 of Minister of Committee for Ethnic Minority Affairs on the Approving Extreme Difficult Villages, Commune Belongs to Areas of I, II, III of Ethnic Minority and Mountainous Areas in the Period 2012-2015. Cochran, W.G. (1968), “The effectiveness of adjustment by subclassification in removing bias in observational studies”, Biometrics, Vol. 24 No. 2, pp. 295-313. CSC-NTPs (2019), “Summary report of 10 years of the implementation of national target program on new rural development in the period 2010–2020”, Report of Central Steering Committee on National Target Programs in the Period 2016–2020 (CSC-NTPs). D’attoma, I., Camillo, F. and Clark, M.H. (2017), “A comparison of bias reduction methods: clustering versus Propensity score Subclassification and Weighting”, The Journal of Experimental Education, Vol. 87 No. 13, pp. 1-22. Dinh, N.T., Quang, H.V., Binh, V.T., Huan, D.D., Cuong, N.M., Hung, D.C., Luan, N.N. and Lenh, T.N. (2010), “Study of scientific base for proposing the policy aming to mobilize internal resources from the people in the Northern Mountainous region in the new rural building”, Study Report to Ministry of Agricultur and Rural Development of Vietnam. Garrido, M., Kelly, A.S., Paris, J., Rosa, K., Meier, D.E., Morrison, R.S. and Aldridge, M.D. (2014), “Methods for constructing and assessing propensity scores”, Health Services Research, Vol. 49 No. 5, pp. 1701-1720. Gibson, C.M. (2003), “Privileging the participants: the importancee of subgroup analysis in social welfare evaluation”, American Journal of Evaluation, Vol. 24, pp. 443-469. GSO (2017), Statistical Yearbook of Vietnam, Statistical Publishing House, Ha Noi, Vietnam. GSO (2019), Statistic data, available at: https://www.gso.gov.vn/Default.aspx?tabid=706&ItemID=13412 (accessed 30 November 2019). Hade, E.M. and Lu, B. (2014), “Bias associated with using the estimated propensity score as a regression covariate”, Statistics in Medicine, Vol. 33 No. 1, pp. 74-87, doi: 10.1002/sim.5884. Kearney, B., Boyle, G.E. and Walsh, J.A. (1995), EU Leader I Initiative in Ireland: Evaluation and Recommendations, Department of Agriculture, Food and Forestry, Dublin. Kulkarni, G.S. and Rajan, R.S. (1991), “Perceptions of development as empowerment”, in O’Cinneide, M. and Grimes, S. (Eds), Planning and Development of Marginal Areas, Centre for Development Studies, UCG, Galway. Effects of NRD program in Vietnam 89 Luan, N.N., Quang, H.V., Huong, N.M., Son, H.T., Cuong, N.M., Huong, L.V. and Bao, P.T. (2011), “ Studying experience in mobilizing community resources in new rural building in order to propose policy, mechanism for new rural building program” , Study Report to Ministry of Agricultur and Rural Development of Vietnam. Moseley, M.J. and Gaskell, P.T. (1994), “Forest of dean rural development area: a study of` need’ and of the scope for `targeting”, Mimeo, Countryside and Community Research Unit, Cheltenham and Gloucester College of Higher Education. OECD (1990), Rural Development Policy, OECD, Paris. Peck, L.R. (2005), “Using cluster analysis in program evaluation”, Evaluation Review, Vol. 29, pp. 178-196. Prime Minister (2010), “Decision No.800/2010/QÐ-TTg dated on June 04 2010 approving the national target program on building a new countryside during 2010-2020”. Quang, H.V. (2016), “Contribution of rural houseolds to local socio-economic development”, Journal of Economics and Development, No. 232(II), pp. 50-56. Rosenbaum, P.R. and Rubin, D.B. (1983), “The central role of the propensity score in observational studies for causal effects”, Biometrika, Vol. 70 No. 1, pp. 41-55. Rosenbaum, P.R. and Rubin, D.B. (1984), “Reducing bias in observational studies using subclassification on the propensity score”, Journal of the American Statistical Association, No. 79, pp. 516-524. Schafer, I.L. and Kang, J. (2008), “Average causal effects from nonrandomized studies: a practical guide and simulated example”, Psychological Methods, Vol. 13, pp. 279-313. Shadish, W.R. and Steiner, P.M. (2010), “A primer on propensity score analysis”, Newborn and Infant Nursing Reviews, Vol. 10 No. 1, pp. 19-26. Stone, C.A. and Tang, Y. (2013), “Comparing propensity score methods in balancing covariates and recovering impact in small sample educational prpgram evaluations”, Practical Assessment, Research and Evaluation, Vol. 18 No. 13, pp. 1-12. Stuart, E.A. (2010), “Matching methods for causal inference: a review and look forward”, Statistical Science, Vol. 25 No. 1, pp. 1-21. Yoshikawa, H., Rosman, E.A. and Hsueh, J. (2001), “Variation in teenage mothers’ experiences of child care and other components of welfare reform: selection processes and development consequences”, Child Development, Vol. 72, pp. 299-317. | |
Bộ sưu tập | 02. Tạp chí (Tiếng Anh) | |
