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CÁC NHÂN tố tác ĐỘNG đến THOÁT NGHÈO của hộ GIA ĐÌNH ở NÔNG THÔN VIỆT NAM đại học kinh tế 2015

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C - m 2015 C - Da 1.7 2.2 2.2.3 Thu 11 11 14 17 21 21 24 24 3.1.3 25 27 27 28 28 29 33 35 37 37 39 4.1 41 43 4.2.1 H 43 46 52 Ch 56 55 57 5.2.1 57 5.2.2 57 60 T uan AusAID GSO VASS VHLSS WTO UNDP A Trang - 2008 22 h chun 22 24 25 008 26 28 31 37 38 40 41 41 44 46 47 48 52 B Trang - 2008 21 h 3.2 35 42 43 54 ; (2) ; (3) ; (5) ; (4) ; (6) ; (7) 2006 Gi i thi u 1.1 tv Trong hai th p k qua, Vi t Nam cc c nh ng qu c t u ng v gi m m t qu c gia thu c di th gi i, Vi ng kinh t nh n 58, l thu c di m xu c a T ng c c Th Vi t Nam - gi i (T ng c c Th 2010) Trong gi v nhanh l i khu t l ac c ng t p trung ch y n xu p h c v n th ch , h t ng h n gi tv gi uc t nhi uv Vi t ng Vi i Vi t Nam, h c thi u s ng s ng, 2012) n c ah H uh uv nhi u qu h gi i ng h ph thu c th p, ch h ,t l t ch ho cao, di , h u cho th y nh ng h n, ti n g i v t i l i s ng cao t v m ( ng s , 2005; Aref, 2011; ng h p Nam, nh s ng c a nh ah t Vi c nh n di t ns ah ng m nh nh p trung kh ng th t k nh t ng m c hi n nhi c i thi u tr is ng n gi m h ho tr o ngh mi ah m c nh i di s h tr c a hi u qu c u tr th b ng cho h gi t bi n ah n r c s mang l i hi u qu gi n gi ah t p trung nh n bi t ns ah ng c ng nh ng T , t s ki n ngh v m t h m c ti n th c i nh ng bi n s d ng l i ns c m ah n t ng cho nh hy v ng b 1.2 M Vi t Nam v i u u - Nh n bi t ng ns c ah Vi t Nam; - ng g m t Nam m m c ti gia 57 S ng r t l So v ah ng ng b u 5.2 Ki n ngh 5.2.1 Ki n ngh v m i quy binary logistic ng t t vi c d ah th c hi n C k t h p gi ng y ut ah t ng t Nam th c hi n b ng ng v uv ng th i k t h p v i ph ng v n nh ng h Nh ng n u ti p theo li , 2012 Vi t Nam cs d ng b d li p nh b d ng th n kh n v ng c a h ng h ch n s d ng b d li u l um Chu m th i c kh c nh t th i gian us u bao g u ki n s ng, ti p c yt c, o hi ng b u nh n 5.2.2 Ki n ngh v m T k t qu ts g tr h d c thi u s c thi u s Theo Cuong (2012) n Vi t Nam ch y u sinh s ng , thu nh p ch y u t s n xu chuy m i t s n xu ng th pc i 58 c thi u s nh p l a ho i gian l n c thi u s tr thu nh p t ho S ng s n xu p, nh n p i ph thu ah gi m s i ph thu c gi m t l n th c hi n k ho ch ba c kh ty ut v ng qua r t nhi ch u ng n ym tv tr c n thi ng h c cung c p d ng c ph c v cho vi c gi ng d c t p, t u ki ng vi c tr nh t th n h c t p t t c khuy tinh , trao h c b ng cho tr u h c Kinh doanh s n xu t ho c th c hi n chuy t s n xu doanh, s n xu u c n thi t p sang kinh t ic n xu t c hi n vi c chuy n c h t, c hi u bi t c a h v c kinh t doanh, v h i nh p kinh t qu c t khuy n xu ph n ho p im t ng s n xu s n, ch bi n th c ph m, s n xu t s n ph m ti u th nh p ho t s n xu pv p, t m u ki n cho h , th c hi n chuy 59 Di i gia - 2012 di p ng b gi k t i gi m xu ng (Nguy n H i ho ti p t c gi m c th n th c hi n , h n ch t c chuy p nh p ng th i khuy p t qu ho t t tr hoang m r ng di ch s d ng u kh ng t t ho h m ts g d ng ngu n v n u qu : th nh t, thi t k n c th ng vay, s ng cho h c vay, th ho ch s n xu v n n xu h iv n g cn p ng th i c pv ng nh n xu h p v i nhu c u th th pc n th c c vi c s d nv n c s d ng v ah Kh h nhi mi n n xu t kinh doanh ah B c th p ng ng b u Long c ah t n th t cho vay; th t h p v i khuy y c th theo t n 60 i n c tri n khai Vi t Nam hi c nh c nh m c v d c bi t c T yh c du ng b y, a ts u Long nh nh c n nh n c h tr n tr ng s theo m c tr cho h ng xu t v m t u v i mong mu n k t qu c Ch c ch n nh ng gi tham gia c a nh ho thi t k gi u qu di n nh t 5.3 H n ch c u g p m t s h n ch Th nh t, nh nh ng ah t c ch n l ph gi ut ch c a b d li ng th i s h n u nhi ah n ng h n v i c a h gia Th hai, b u ch 2006- ys c, B d ng s n t ch s 05/2013/TTLT-UBDT-BNNPTNTK ho ah ng h -BTC- a 61 m th c a nh ns Th ba, d li c u n v ng c a h ch s d ng nh t b d li u Kh s ng h a T ng c c Th 2006 n th d li c c kh m hi n t i b d li u Kh c s ng h gia Cu c m i quan h c kh e c gi i kh c uh pd thi u h c kh tm ng ki m thu nh p c i thi n cu c s ng cd vi t t tri n hi c tv cs T nm nh d c ng t t d um ns n v ng c a h n b nh [1] Andersson M et al., 2006 Determinants of poverty in Lao PDR Country Economic Report 2005:10 Sweden: Published by SIDA [2] Appleton S., 2001 Education, incomes and poverty in Uganda in the 1990s CREDIT Research Paper No 01/22, University of Nottingham [3] Aref A., 2011 Perceived impact of education on poverty reduction in rural areas of Iran Life Science Hournal, 8(2), pp 498-501 [4] Arif G M and Bilquees F., 2006 Chronic and transient poverty in Pakistan: Evidence from a longitudinal household survey MIMAP Technical Paper Series No 19, Pakistan Institute of Development Economics [5] Arif G M and Farooq S., 2012 Dynamics of rural poverty in Pakistan: Evidence from three waves of the panel survey Pakistan Institute of Development Economics , Islamabad [6] Bhatta S D and Sharma S K., 2006 The determinants and consequences of chronic and transient poverty in Nepal CPRC Working Paper 66, Chronic Poverty Research Centre [7] Bogale A et al., 2005 Determinants of poverty in rural Ethiopia Quarterly Journal of International Agriculture, 44(2), pp 101-120 [8] Bradshaw T.K., 2006 Theories of poverty and anti-poverty programs in community development RPRC Working Paper No 06-05, Rural Poverty Research Center http://www.vistacampus.gov/sites/default/files/legacy/37/PovertyInAmerica/The ories_Pov_AntiPov_Programs.pdf [9] Cuong Nguyen Viet et al., 2010 Urban poverty in Vietnam: Determinants and policy implications Paper No 40767, MPRA [10] Cuong Nguyen Viet, 2012 Poverty of ethnic minorities in the poorest areas of Vietnam Paper No 45737, MPRA [11] Chaudhry I.S et al., 2009 The impact of socioeconomic and demographic variables on poverty: A village study The Lahore Journal of Economics, 14(1), pp 39-68 [12] Datt G and Jolliffe D., 1999 Determinants of poverty in Egypt: 1997 FCND Discussion Paper No 75, International Food Policy Research Institute [13] Datt G et al., 2000 Determinants of poverty in Mozambique: 1996 1997 FCND Discussion Paper No 78, International Food Policy Research Institute [14] David L., M Andy and J Okidi, 2005 Poverty persistence and transitions in Uganda: A combined qualitative and quantitative analysis Global Poverty Research Group [15] Dudek H and Lisicka I., 2013 Determinants of poverty - Binary logit model with interaction terms approach Ekonometrica Economics, 3(41), pp 1507-3866 [16] Ennin C.C et al., 2011 Trend analysis of determinants of poverty in Ghana: Logit approach Research Journal of Mathematics and Statistics, 3(1), pp 20-27 [17] Gaiha R., Imai K and Woojun K., 2007 Vulnerability and poverty dynamics in Vietnam Economics Discussion Paper No 0708, The university of Manchester [18] Gibson J and Rozelle S., 2003 Poverty and access to roads in Papua New Guinea Economic Development and Cultural Change, 52(1), pp 151-185 [19] Glewwe P et al., 2002 An analysis of poverty and inequality trends Development Research Group, The World Bank [20] Gounder N., 2012 The determinants of household comsumption and poverty in Fiji Discussion Paper No 2012-05, Griffith Business School [21] Green W H., 2002 Econometric analysis, 5th edition Jew Jersey 07458: Pearson Education [22] Grootaert C., 1999 Social capital, household welfare and poverty in Indonesia Working Paper No 6, The World Bank [23] Gujarati D., 2004 Basic econometrics, 4th edition New York: McGrawHill [24] Gujarati D., 2011 Econometrics by example Palgrave Macmillan [25] Haughton J and Khandker S R., 2009 Handbook on poverty and inequality The World Bank [26] Hulme D., K Moore and A Shepherd, 2001 Chronic poverty: meanings and analytical frameworks CPRC Working Paper No 2, Chronic Poverty Research Centre [27] Jalan J and M Ravallion, 1998 Determinants of transient and chronic poverty: Evidence from rural China Policy Research Working Paper Series No 1936, The World Bank [28] Jalan J and M Ravallion, 2000 Is transient poverty different? Evidence for rural China Journal of Development Studies, 36(6), pp 82-99 [29] Johannes T A., 2009 Does social capital determine poverty? Evidence from Cameroon household survey Faculty of Economics and Management, Senegal [30] Kimsun T., 2011 Analyzing chronic poverty in rural Cambodia: Evidence from panel data EADN Working Paper No 48, Cambodia Development Research Institute [31] Kotikula A., Narayan A and Zaman H., 2007 Explaining poverty reduction in the 2000s: an analysis of the Bangladesh household income and expenditure survey A background paper for Bangladesh Poverty Assessment, South Asia Region, The World Bank [32] Lanjouw P and Ravallion M., 1994 Poverty and household size Policy Research Working Paper No 1332, The World Bank [33] Lanjouw P., 1998 poverty Policy Research Working Paper No 1094, The World Bank [34] Lawson D., 2004 The influence of ill health on chronic and transient poverty: Evidence from Uganda CPRC Working Paper No.41, Chronic Poverty Research Centre [35] Lawson D et al., 2006 Poverty persistence and transitions in Uganda: A combined qualitative and quantitative analysis Journal of Development Studies, 42(7), pp 1225-1251 [36] McCulloch N and Baulch B., 1999 Distinguishing the chronically from the transitory poor - evidence from Pakistan IDS working paper No 97, Brington: Institute of Development Studies, University of Sussex [37] Minot N et al., 2006 Poverty and Inequality in Vietnam: Spatial patterns and geographic determinants Research Report No 148, International Food Policy Research Institute [38] Morduch J., 2005 Handbook on poverty statistics: Concepts, methods and policy use (Chapter II & III) United Nations Statistics Division [39] Muyanga M., Ayiekox M and Bundiy M., 2006 Determinants of transient and chronic poverty: Evidence from Kenya PMMA Network Session Paper, PEP Research Network General Meeting [40] Oaxaca R., 1973 Male - Female wage differentials in urban labor markets International Economic Review, 14(3), pp 693-709 [41] Ogwumike F O and Akinnibosun M K., 2013 Determinants of poverty among farming households in Nigeria Mediterranean Journal of Social Sciences, 4(2), pp 365-373 [42] Okinmadewa F.Y et al., 2005 Social captial and poverty reduction in Nigeria Africa Economic Research consortium (AERC) Nairobi, Kenya [43] Quach M H., Mullineux A W and Murinde V., 2005 Access to credit and household poverty reduction in rural Vietnam: A cross-sectional study The Birmingham Business school, Birmingham: University of Birmingham [44] Ravallion M and Bidani B., 1993 How robust is a poverty profile? The World Bank, Policy Research Working Paper No.1223 [45] Ravallion M., 1996 Issues in measuring and modeling poverty The World Bank, Policy Research Working Paper No 1615 [46] Runsinarith P., 2007 Infrastructure development and poverty reduction: Nagoya University [47] Teguh D and Nurkholis N., 2012 Finding out of the determinants of poverty dynamics in Indonesia: Evidence from panel data MPRA Paper No 41185 [48] Warr P., 2005 Road development and poverty reduction: The case of Lao PDR ADB Institute, Research Paper Series(64) [49] Weber B et al., 2007 and labor markets Rural Studies Program, Working Paper Series(RSP 07-01) [50] Wooldridge J M., 2002 Introcductory econometrics: A modern approach, 2nd edition South-Western [51] Yang D T., 2004 Education and allocative efficiency: Household income growth during reforms in China Journal of Development Economics, 74(2004), pp 137-162 [52] Zhang L et al., 2002 Employment, emerging labor markets and the role of education in rural China China Economics Review, 13(2002), pp 313-328 [1] AusAID, 2004 Long [2] - [3] [4] - [5] Theo tham gia : [6] g4 : [7] (2007-2011) : [8] [9] [10] [11] , -21 Variable Obs Mean Std Dev Min Max Y 573 0,389 0,488 DAN_TOC 573 0,511 0,500 PHU_THUOC 573 2,136 1,391 NAMHOC_BQ 573 4,393 2,588 11,25 LAO_DONG 573 2,876 1,455 GIOITINH_CH 573 0,190 0,393 TUOI_CH 573 48,127 14,719 16 93 PHI_NN 573 0,106 0,309 DNN_BQ 573 1,793 2,544 21,125 TIN_DUNG 573 0,216 0,412 TUOI_TIEU 573 0,525 0,500 VUNG_2 573 0,132 0,339 VUNG_3 573 0,290 0,339 VUNG_4 573 0,106 0,309 VUNG_5 573 0,023 0,149 VUNG_6 573 0,094 0,292 1 10 11 12 13 14 15 Y 1,000* DAN_TOC 0,308* 1,000 PHU_THUOC -0,264* -0,221* 1,000* NAMHOC_BQ 0,336* 0,289* -0,432* 1,000* -0,141* -0,345* 0,177* 0,044* GIOITINH_CH 0,069* 0,243* -0,156* -0,034* -0,304* 1,000* TUOI_CH 0,087* 0,292* -0,110* -0,001* -0,107* 0,278* 1,000* PHI_NN 0,084* 0,021* 0,040* -0,039* -0,017* -0,023* -0,103* 1,000* DNN_BQ -0,035* -0,381* 0,043* -0,073* 0,190* -0,141* -0,161* -0,051* 1,000* 10.TIN_DUNG -0,150* -0,088* 0,049* -0,100* 0,027* -0,060* -0,148* 0,025* -0,018* 1,000* 11.TUOI_TIEU 0,157* 0,406* -0,176* 0,176* -0,175* 0,122* 0,126* -0,035* -0,210* -0,061* 1,000* 12.VUNG_2 0,152* 0,321* -0,075* 0,252* -0,190* 0,073* 0,146* 0,032* -0,177* -0,068* 0,052* 1,000* 13.VUNG_3 0,043* 0,347* 0,016* 0,081* -0,189* 0,112* 0,160* -0,058* -0,223* -0,046* 0,168* -0,250* 1,000* 14.VUNG_4 -0,078* -0,263* 0,227* -0,179* 0,068* -0,009* -0,076* -0,027* 0,139* -0,017* -0,114* -0,135* -0,220* 1,000* 15.VUNG_5 0,023* 0,079* 0,019* -0,062* -0,003* -0,014* 0,121* -0,015* -0,060* 0,005* 0,026* -0,060* -0,097* -0,053* 1,000* 16.VUNG_6 0,110* 0,232* -0,156* -0,094* -0,009* 0,102* 0,077* 0,024* -0,099* -0,010* 0,103* -0,126* -0,206* -0,111* -0,049* 16 LAO_DONG : 1,000* Number of obs = 573 LR chi2(15) = 134,22 Prob > chi2 = 0,000 Pseudo R2 = 0,175 Y Coef H ng s Std.Err z [95% Conf Interval] -1,696 0,583 -2,91 0,004 -2,839 -0,554 0,855 0,305 2,81 0,005 0,258 1,452 PHU_THUOC -0,194 0,089 -2,16 0,031 -0,369 -0,018 NAMHOC_BQ 0,244 0,048 5,07 0,000 0,150 0,339 LAO_DONG -0,159 0,083 -1,93 0,054 -0,322 0,003 GIOITINH_CH -0,091 0,263 -0,35 0,729 -0,605 0,424 TUOI_CH 0,003 0,007 0,45 0,652 -0,011 0,018 PHI_NN 0,808 0,329 2,46 0,014 0,164 1,453 DNN_BQ 0,086 0,042 2,08 0,039 0,005 0,168 TIN_DUNG -0,595 0,253 -2,35 0,019 -1,091 -0,098 TUOI_TIEU 0,115 0,214 0,54 0,590 -0,305 0,535 VUNG_2 0,205 0,391 0,52 0,600 -0,562 0,972 VUNG_3 0,010 0,323 0,03 0,975 -0,622 0,643 VUNG_4 0,450 0,369 1,22 0,223 -0,273 1,172 VUNG_5 0,666 0,688 0,97 0,333 -0,683 2,015 VUNG_6 0,774 0,413 1,87 0,061 -0,036 1,584 DAN_TOC Number of obs = 573 LR chi2(8) = 130,93 Prob > chi2 = 0,000 Pseudo R2 Y H ng s = 0,171 Coef Std.Err z [95% Conf Interval] -1,412 0,405 -3,49 0,000 -2,206 -0,618 0,922 0,236 3,91 0,000 0,459 1,384 PHU_THUOC -0,184 0,087 -2,12 0,034 -0,355 -0,014 NAMHOC_BQ 0,238 0,046 5,15 0,000 0,148 0,329 -0,155 0,079 -1,97 0,049 -0,309 -0,000 PHI_NN 0,772 0,321 2,40 0,016 0,143 1,401 DNN_BQ 0,083 0,041 2,02 0,044 0,002 0,163 -0,626 0,250 -2,51 0,012 -1,115 -0,137 0,660 0,341 1,94 0,053 -0,007 1,328 DAN_TOC LAO_DONG TIN_DUNG VUNG_6

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