中國貧困村測度與空間分布特征分析
本文關(guān)鍵詞:國外農(nóng)村貧困地理研究進展,由筆耕文化傳播整理發(fā)布。
[1] <mixed-citation publication-type="journal"><name>Park <given-names>A, <name>Wang <given-names>S, <name>Wu <given-names>G.Regional poverty targeting in China. Journal of Public Economics, <year>2002, <volume>86(1): <fpage>123-<lpage>153.
We evaluate the effectiveness of regional targeting in China's large-scale poverty alleviation program begun in 1986 by analyzing a panel data set of all counties in China for the period 1981-1995. Estimates of models of poor county designation and poverty fund allocation and newly defined targeting gap and targeting error measures show that political factors have affected targeting and that leakage has increased while coverage has improved. Only one of the three main programs is progressive. Growth model estimates find that poor county designation increased incomes per capita by 2.28% per year during 1985-1992 and 0.91% during 1992-1995. These results are relatively robust to redefining control groups using propensity-score matching methods.
DOI: 10.1016/S0047-2727(01)00108-6
[2] <mixed-citation publication-type="journal"><name lang="CN">高帥, <name lang="CN">畢潔穎. 農(nóng)村口動態(tài)多維貧困: 狀態(tài)持續(xù)與轉(zhuǎn)變. 中國人口·資源與環(huán)境, <year>2016, <volume>26(2): <fpage>76-<lpage>83.
能力貧困、動態(tài)貧困、多維貧困更符合貧困的本質(zhì)和走向,本文利用2010年和2012年中國家庭追蹤調(diào)查(CFPS)農(nóng)村平衡面板數(shù)據(jù),運用Biprobit模型基于個人層面可行能力和主觀福利感受分析農(nóng)村人口多維貧困狀態(tài)持續(xù)與轉(zhuǎn)變。結(jié)果表明:農(nóng)村人口年齡、從事農(nóng)業(yè)活動時間、區(qū)域差異、受教育程度、絕對收入、社會地位及相對收入等均對農(nóng)村人口持續(xù)多維貧困產(chǎn)生顯著影響。受教育程度、從事農(nóng)業(yè)活動時間、區(qū)域差異、年齡、相對收入、戶籍和絕對收入均對農(nóng)村人口陷入多維貧困產(chǎn)生顯著影響。農(nóng)村人口從事農(nóng)業(yè)活動的時間越長,持續(xù)多維貧困的可能性越高,陷入多維貧困的可能性越低。東部、中部、西部發(fā)生持續(xù)性多維貧困的可能較高,而東部、西部陷入多維貧困的可能性較低。絕對收入、相對收入和社會地位越高,農(nóng)村人口發(fā)生持續(xù)性多維貧困的可能性越低。女性、受教育程度較低的農(nóng)村人口持續(xù)性多維貧困的可能性更高。相對收入較低的農(nóng)村人口易于陷入多維貧困,然而相對收入對農(nóng)村人口持續(xù)性多維貧困的作用不明顯。社會地位對農(nóng)村人口持續(xù)性多維貧困產(chǎn)生消極作用,卻對陷入多維貧困的影響不顯著。主要研究結(jié)論:打破"持續(xù)多維貧困"惡性循環(huán)應(yīng)從"小處"著手,以"輸血"為主,"走進去"識貧,"走出來"脫貧;防范農(nóng)村人口陷入多維貧困應(yīng)從"大局"著眼,把發(fā)展和消除不平等作為解決多維貧困的根本途徑,引導(dǎo)"脫貧"和防范"返貧",提能力避返貧,新思路促扶貧。精準扶貧機制要建立在契合貧困本質(zhì)的貧困標準上,找準"貧根",尋共性扶貧,診特性脫貧。
DOI: 10.3969/j.issn.1002-2104.2016.02.010
<mixed-citation>[<name>Cao Shuai, <name>Bi Jieying. Dynamic multidimensional poverty in rural China: Persistence and transition. China Population, Resources and Environment. <year>2016, <volume>26(2): <fpage>76-<lpage>83.] [3] <mixed-citation publication-type="journal"><name lang="CN">劉彥隨, <name lang="CN">周揚, <name lang="CN">劉繼來. 中國農(nóng)村貧困化地域分異特征及其精準扶貧策略. 中國科學院院刊, <year>2016, <volume>31(3): <fpage>269-<lpage>278.長期以來,中國堅持政府主導(dǎo)推動減貧事業(yè),在實踐中不斷推進扶貧開發(fā)的理論創(chuàng)新、組織創(chuàng)新和制度創(chuàng)新,走出了一條中國特色的扶貧開發(fā)道路,為全球減貧事業(yè)做出了巨大貢獻。然而,目前中國仍有7 017萬農(nóng)村貧困人口,成為全面建成小康社會的最大短板。文章深入剖析了新時期中國農(nóng)村貧困化基本特征,揭示了農(nóng)村貧困化地域分異規(guī)律,探明了農(nóng)村貧困化的主導(dǎo)因素,提出了科學推進精準扶貧的戰(zhàn)略與對策。研究結(jié)果表明:貧困人口規(guī)模大、分布廣、貧困程度深、脫貧難度逐漸加大,是當前中國農(nóng)村貧困狀況的基本特征,因病、因殘、因?qū)W、因災(zāi)致貧或返貧現(xiàn)象突出;農(nóng)村貧困人口逐漸向我國中西部深石山區(qū)、高寒區(qū)、民族地區(qū)和邊境地區(qū)集聚,具有貧困戶、貧困村、貧困縣、貧困區(qū)(片)等多級并存的組織結(jié)構(gòu)和空間分布格局;"胡煥庸線"西北部、東南部貧困人口的比重分別占16.4%、83.6%;自然環(huán)境惡劣、區(qū)位條件差、基礎(chǔ)設(shè)施落后、區(qū)域發(fā)展不均衡及前期扶貧開發(fā)政策精準性不夠等,是中國農(nóng)村持續(xù)貧困的主要癥結(jié)。如期實現(xiàn)2020年全面消除貧困,亟需扶貧工作體制機制的創(chuàng)新,科學推進精準扶貧戰(zhàn)略。
<mixed-citation>[<name>Liu <given-names>Yansui, <name>Zhou <given-names>Yang, <name>Liu <given-names>Jilai.Regional differentiation characteristics of rural poverty and targeted poverty alleviation strategy in China. Bulletin of Chinese Academy of Sciences, <year>2016, <volume>31(3): <fpage>269-<lpage>278.] [4] <mixed-citation publication-type="book" publication-format="print">國家統(tǒng)計局住戶調(diào)查辦公室. 中國農(nóng)村2011貧困監(jiān)測報告. 北京: 中國統(tǒng)計出版社, <year>2012.中國科學院機構(gòu)知識庫(中國科學院機構(gòu)知識庫網(wǎng)格(CAS IR GRID))以發(fā)展機構(gòu)知識能力和知識管理能力為目標,快速實現(xiàn)對本機構(gòu)知識資產(chǎn)的收集、長期保存、合理傳播利用,積極建設(shè)對知識內(nèi)容進行捕獲、轉(zhuǎn)化、傳播、利用和審計的能力,逐步建設(shè)包括知識內(nèi)容分析、關(guān)系分析和能力審計在內(nèi)的知識服務(wù)能力,開展綜合知識管理。
<mixed-citation>[Household Survey Department of National Bureau of Statistics. Poverty Monitoring Report of Rural China 2011. Beijing: China Statistics Press, <year>2012.] [5] <mixed-citation publication-type="journal"><name>Tsui <given-names>K.Multidimensional poverty indices. Social Choice and Welfare, <year>2002, <volume>19(1): <fpage>69-<lpage>93.王小林, <name>Alkire <given-names>S.中國多維貧困測量: 估計和政策含義. 中國農(nóng)村經(jīng)濟, <year>2009, (12): <fpage>4-<lpage>10.
本文采用Alkireand Foster于2007年開發(fā)的多維貧困測量方法,利用2006年中國健康與營養(yǎng)調(diào)查數(shù)據(jù),對中國城市和農(nóng)村家庭多維貧困進行了測量。測量結(jié)果表明,中國城市和農(nóng)村家庭都存在收入之外的多維貧困,,城市和農(nóng)村近1/5的家庭存在收入之外任意3個維度的貧困。中國城市和農(nóng)村的貧困狀況遠遠高于國家統(tǒng)計局以收入為標準測量的貧困發(fā)生率。維度分解結(jié)果表明,衛(wèi)生設(shè)施、健康保險和教育對多維貧困指數(shù)的貢獻最大。對樣本地區(qū)的分解結(jié)果表明,貴州省多維貧困指數(shù)最高。城鄉(xiāng)分解結(jié)果表明,黑龍江和廣西的城市多維貧困比較突出。因此,中國下一個十年(2011-2020年)扶貧開發(fā)綱要應(yīng)從多維度識別和瞄準貧困。
<mixed-citation>[<name>Wang <given-names>Xiaolin, <name>Alkire <given-names>S.Measurement of multidimensional poverty in China: Estimation and policy implication. Chinese Rural Economy, <year>2009, (12): <fpage>4-<lpage>10.] [7] <mixed-citation publication-type="journal">UNDP. Human Development Report 2013. New York: United Nations Development Program, <year>2013.=2294673This report examines the shift in global dynamics driven by the fast-rising new powers of the developing world and its long-term implications for human development. It identifies more than 40 countries in the developing world that have done better than had been expected in human development terms in recent decades with their progress accelerating markedly over the past ten years. The Report analyzes the causes and consequences of these countries achievements and the challenges that they face today and in the coming decades.
DOI: 10.3917/afco.246.0164
[8] <mixed-citation publication-type="journal"><name>Alkire <given-names>S, <name>Foster <given-names>J.Counting and multidimensional poverty measurement. Journal of Public Economics, <year>2011, <volume>95(7-8): <fpage>476-<lpage>487.This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method rho(k) that extends the traditional intersection and union approaches, and a class of poverty measures M-alpha. Our identification step employs two forms of cutoff: one within each dimension to determine whether a person is deprived in that dimension, and a second across dimensions that identifies the poor by 'counting' the dimensions in which a person is deprived. The aggregation step employs the FGT measures, appropriately adjusted to account for multidimensionality. The axioms are presented as joint restrictions on identification and the measures, and the methodology satisfies a range of desirable properties including decomposability. The identification method is particularly well suited for use with ordinal data, as is the first of our measures, the adjusted headcount ratio M-0. We present some dominance results and an interpretation of the adjusted headcount ratio as a measure of unfreedom. Examples from the US and Indonesia illustrate our methodology. (C) 2010 Elsevier B.V. All rights reserved.
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[9] <mixed-citation publication-type="journal"><name lang="CN">劉艷華, <name lang="CN">徐勇. 中國農(nóng)村多維貧困地理識別及類型劃分. 地理學報, <year>2015, <volume>70(6): <fpage>993-<lpage>1007.Liu <given-names>Yanhua, <name>Xu <given-names>Yong.Geographical identification and classification of multi-dimensional poverty in rural China. Acta Geographica Sinica, <year>2015, <volume>70(6): <fpage>993-<lpage>1007.] [10] <mixed-citation publication-type="journal"><name lang="CN">趙瑩, <name lang="CN">劉小鵬, <name lang="CN">郭永杰. 集中連片特困地區(qū)多維貧困的度量及動態(tài)演變: 以寧夏西吉縣為例. 寧夏大學學報: 自然科學版, <year>2015, <volume>36(1): <fpage>73-<lpage>78.
隨著扶貧理論和扶貧工作的深入,貧困的度量已由傳統(tǒng)的經(jīng)濟指標向包括經(jīng)濟、社會、環(huán)境在內(nèi)的多維度擴展,依據(jù)新時期中國農(nóng)村扶貧開發(fā)綱要劃定的扶貧主戰(zhàn)場 ——集中連片特困地區(qū),以寧夏西吉縣為例,基于2001-2012年數(shù)據(jù),結(jié)合信息熵分析西吉縣多維貧困的時間演變趨勢,并結(jié)合障礙度模型對貧困的主要影 響因素進行闡述.結(jié)果表明,2001-2012年,西吉縣的貧困程度整體呈波動下降趨勢;經(jīng)濟因素始終是貧困的主要影響因素,其影響程度不斷減弱;后期, 環(huán)境和社會維度對貧困的影響逐漸增強.一方面,在改變生產(chǎn)方式、發(fā)展經(jīng)濟的同時,繼續(xù)推進生態(tài)移民、退耕還林(草)、植樹造林工程和農(nóng)戶后續(xù)生計的培訓, 促進生態(tài)恢復(fù).另一方面,以教育、醫(yī)療和飲水等為重點,促進基礎(chǔ)公共服務(wù)水平的提高,推動地區(qū)經(jīng)濟、社會和環(huán)境的協(xié)調(diào)發(fā)展,根本上改變西吉縣貧困落后的面 貌.
<mixed-citation>[<name>Zhao <given-names>Ying, <name>Liu <given-names>Xiaopeng, <name>Guo <given-names>Yongjie.Measurement on the multidimensional poverty in concentrate contiguous destitute areas and its dynamic evolution trend: Taking Xiji county of Ningxia for example. Journal of Ningxia University: Natural Science Edition, <year>2015, <volume>36(1): <fpage>73-<lpage>78.] [11] <mixed-citation publication-type="journal"><name>Deaton <given-names>B, <name>Niman <given-names>E.An empirical examination of the relationship between mining employment and poverty in the appalachian region. Applied Economics, <year>2011, <volume>44(3): <fpage>303-<lpage>312. [12] <mixed-citation publication-type="journal"><name lang="CN">羅慶, <name lang="CN">李小建. 國外農(nóng)村貧困地理研究進展. 經(jīng)濟地理, <year>2014, <volume>34(6): <fpage>1-<lpage>8.農(nóng)村貧困地理作為農(nóng)村貧困研究的一個重要分支,其研究成果對豐富農(nóng)村貧困理論和制定農(nóng)村扶貧政策都具有十分重要的意義.隨著普查數(shù)據(jù)的完善、地理信息技術(shù)和遙感技術(shù)的應(yīng)用以及統(tǒng)計分析方法的發(fā)展,農(nóng)村貧困地理研究呈現(xiàn)出一些新趨勢和新特征.通過梳理近20年來國外農(nóng)村貧困研究文獻,從地理學視角對空間貧困陷阱的概念及存在性檢驗、地理因素對農(nóng)村貧困形成的作用機理、區(qū)域貧困的測算及貧困地圖的繪制、區(qū)域瞄準及效果評估等方面進行系統(tǒng)的回顧和評述,總結(jié)出國外農(nóng)村貧困地理研究的特點與發(fā)展方向,提出未來國內(nèi)相關(guān)研究的若干主題.
<mixed-citation>[<name>Luo <given-names>Qing, <name>Li <given-names>Xiaojian.The research progress of foreign rural poverty geography. Economic Geography, <year>2014, <volume>34(6): <fpage>1-<lpage>8.] [13] <mixed-citation publication-type="journal"><name>Curtis K <given-names>J, <name>Voss P <given-names>R, <name>Long D <given-names>D.Spatial variation in poverty-generating processes: Child poverty in the United States. Social Science Research, <year>2012, <volume>41(1): <fpage>146-<lpage>159.This study builds on research demonstrating that sub-regions within the United States have different processes that abet poverty and that child poverty is spatially differentiated. We focus on the social attributes of the local area to assess what the geographic place represents in terms of social characteristics, namely racial/ethnic composition and economic structure, and to resolve apparent inconsistencies in poverty research. Using spatial regime and spatial error regression techniques to analyze county census data, we examine spatial differentiation in the relationships that generate child poverty. Our approach addresses the conceptual and technical aspects of spatial inequality. Results show that local-area processes are at play with implications for more nuanced theoretical models and anti-poverty policies that consider systematic differences in factors contributing to child poverty according to the racial/ethnic and economic contexts.
DOI: 10.1016/j.ssresearch.2011.07.007 PMID: 23017703
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DOI: 10.5923/j.economics.20120205.01
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<mixed-citation>[<name>Li <given-names>Yuanyuan, <name>Yun <given-names>Jun.Synthetic research on the theory of multi-attribute comprehensive evaluation index system. Journal of Wuhan University of Technology: Information & Management Engineering, <year>2009, <volume>31(2): <fpage>305-<lpage>309.] [18] <mixed-citation publication-type="journal"><name lang="CN">劉小鵬, <name lang="CN">蘇勝亮, <name lang="CN">王亞娟, <etal lang="CN">等. 集中連片特殊困難地區(qū)村域空間貧困測度指標體系研究. 地理科學, <year>2014, <volume>34(4): <fpage>447-<lpage>453.Liu <given-names>Xiaopeng, <name>Su <given-names>Shengliang, <name>Wang <given-names>Yajuan, <etal>et al.The index system of spatial poverty of village level to monitor in concentrated contiguous areas with particular difficulties. Scientia Geographica Sinica, <year>2014, <volume>34(4): <fpage>447-<lpage>453.] [19] <mixed-citation publication-type="journal"><name lang="CN">裴銀寶, <name lang="CN">劉小鵬, <name lang="CN">李永紅, <etal lang="CN">等. 六盤山特困片區(qū)村域空間貧困調(diào)查與分析: 以寧夏西吉縣為例. 農(nóng)業(yè)現(xiàn)代化研究, <year>2015, <volume>36(5): <fpage>748-<lpage>754.
基于貧困農(nóng)戶的調(diào)研數(shù)據(jù),采用貧困發(fā)生率、貧困缺口率、SPG指數(shù)、貧困承受等指數(shù)對樣本村的貧困廣度、深度及強度進行實證分析。研究發(fā)現(xiàn):1)各地形區(qū)和各民族村的恩格爾系數(shù)、貧困發(fā)生率和貧困缺口指數(shù)三者之間的動態(tài)趨同度較高。2)各地形區(qū)和各民族村的貧困承受指數(shù)和SPG指數(shù)整體呈現(xiàn)逐年下降趨勢,貧困狀況向好趨勢明顯。3)各貧困村的脫貧時間在逐年縮短,扶貧工作取得切實成效,而黃土丘陵溝壑區(qū)貧困村的貧困廣度、深度和強度是三地貌之最,扶貧負擔仍然很重。村域扶貧對象的精準識別必須確保前期問卷設(shè)計的多維性,注重扶貧政策制定的均衡性、特殊性和資源分配的區(qū)域性,并要加強后期的技術(shù)動態(tài)監(jiān)測與創(chuàng)新管理。
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<mixed-citation>[<name>Pei <given-names>Yinbao, <name>Liu <given-names>Xiaopeng, <name>Li <given-names>Yonghong, <etal>et al.Investigation and analysis of villages in extreme spatial poverty in Liupan Mountain contiguous areas: A case study of Xiji, Ningxia province. Research of Agriculture Moderniztion, <year>2015, <volume>36(5): <fpage>748-<lpage>754.] [20] <mixed-citation publication-type="journal"><name lang="CN">田偉. 連片特困區(qū)鄉(xiāng)村多維貧困及綜合治理研究: 以湘西州永順縣高坪鄉(xiāng)為例. 湖南: 吉首大學碩士學位論文, <year>2014.研究連片特困區(qū)的多維貧困,從多維角度把握貧困的實質(zhì),澄清多維貧困概念上和度量上的一系列問題,更加細化、深化研究連片特困區(qū)的貧困問題,確定連片特困區(qū)貧困的相關(guān)維度、多維視角下的貧困主體以及多維貧困測度,可以指導(dǎo)連片特困區(qū)制定減貧政策。而連片特困區(qū)的減貧需涵蓋社會事業(yè)的方方面面,從經(jīng)濟發(fā)展、福利待遇、基礎(chǔ)設(shè)施到生態(tài)建設(shè)、節(jié)能環(huán)保等具體措施的實施,都不是單一的獨立運行,而是相互聯(lián)系、相輔相成,需借助多維貧困測度和空間分布特征研究細化、深化連片特困區(qū)的減貧政策。 本文以高坪鄉(xiāng)多維貧困和綜合治理為中心,分為兩大模塊:國內(nèi)外對多維貧困的相關(guān)研究和高坪鄉(xiāng)多維貧困的具體測度政策治理研究,共計五章。第一章:緒論。簡要闡述本論文的研究背景、選題意義、國內(nèi)外研究現(xiàn)狀、研究思路與方法,并提出本文創(chuàng)新之處與不足之處。第二章:多維貧困與綜合治理的研究及理論基礎(chǔ)。對貧困理論的起源、多維貧困和多維貧困測度概念的界定、多維貧困測度的理論體系,以及國內(nèi)外貧困的綜合治理理論相關(guān)研究簡要概述,并簡要闡述國家減貧政策和項目實施的效應(yīng)評估。第三章:高坪鄉(xiāng)多維貧困實證研究。在對現(xiàn)有的多維貧困評價指標體系和評價方法做簡要回顧,得到經(jīng)驗和啟示的基礎(chǔ)上,根據(jù)構(gòu)建指標原則,確定科學的綜合評價方法,對處于武陵山連片特困區(qū)的高坪鄉(xiāng)的貧困進行多角度的分析。第四章:高坪鄉(xiāng)現(xiàn)有減貧政策及項目實施效應(yīng)評估。簡要闡述高坪鄉(xiāng)現(xiàn)有減貧政策,并對減貧項目實施后的減貧效果作效應(yīng)評估。第五章:高坪鄉(xiāng)多維貧困綜合治理思路與建議。總體概括連片特困區(qū)多維貧困綜合治理方式,并根據(jù)實證分析的結(jié)果,針對高坪鄉(xiāng)現(xiàn)有減貧政策存在的問題,提出完善高坪鄉(xiāng)減貧政策的思路和具有可行性的對策建議,供相關(guān)部門參考。 本文在借鑒已有的研究成果基礎(chǔ)上,注重理論聯(lián)系實際,注重定性分析和定量分析相結(jié)合、規(guī)范分析與實證分析相結(jié)合。在對連片特困區(qū)以及高坪鄉(xiāng)的定性描述后,借助政治學、區(qū)域經(jīng)濟學,經(jīng)濟地理等多學科工具,對連片特困區(qū)和高坪鄉(xiāng)多維貧困和綜合治理作全面、科學、系統(tǒng)的評價分析、項目實施效應(yīng)評估。
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本文關(guān)鍵詞:國外農(nóng)村貧困地理研究進展,由筆耕文化傳播整理發(fā)布。
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