農(nóng)業(yè)是巴基斯坦最重要的經(jīng)濟(jì)部門。巴基斯坦全國大約有68％的人口生活在農(nóng)村地區(qū)，直接或間接地依靠農(nóng)業(yè)為生。貧困是巴基斯坦農(nóng)村地區(qū)的普遍現(xiàn)象，城市貧困也根源于農(nóng)村貧困。本文強(qiáng)調(diào)了農(nóng)業(yè)和農(nóng)村發(fā)展在緩解絕對(duì)貧困方面的作用。農(nóng)村發(fā)展是指社會(huì)和物質(zhì)基礎(chǔ)設(shè)施的供給以及農(nóng)業(yè)生產(chǎn)力的最終提高。 本文目的在于評(píng)價(jià)Barani村莊發(fā)展計(jì)劃(BVDP)的社會(huì)經(jīng)濟(jì)影響。經(jīng)驗(yàn)分析數(shù)據(jù)來自2000年和2007年兩個(gè)時(shí)間段巴基斯坦Barani地區(qū)農(nóng)場(chǎng)家庭的代表性調(diào)查。首先，本文運(yùn)用收入-支出法在整個(gè)地區(qū)對(duì)貧困動(dòng)態(tài)特征(如貧困發(fā)生率、貧困深度和貧困強(qiáng)度)進(jìn)行了評(píng)估。此方法也被用于2000年和2007年兩個(gè)時(shí)間段6個(gè)縣(Tehsil)的調(diào)查。本文計(jì)算了關(guān)于收入不平等(如基尼系數(shù))的統(tǒng)計(jì)估計(jì)量。其次，本文運(yùn)用Logit回歸模型分析了貧困的決定因子。這些分析具有明顯的政策含義，因?yàn)榘突固拐賳T正在試圖制定一些從根源上治理貧困的計(jì)劃。 Logit回歸模型闡釋了巴基斯坦Barani地區(qū)低程度和高程度貧困發(fā)生的可能性。本文采用回歸分析技術(shù)計(jì)算Barani村莊發(fā)展計(jì)劃(BVDP)引致的農(nóng)民收入增長(zhǎng)程度�；貧w模型一定...

【文章頁數(shù)】：128 頁

【學(xué)位級(jí)別】：博士

【文章目錄】：
Abstract
摘要
Chapter 1 Introduction
    1.1 Rural background and people
    1.2 Agriculture in Pakistan
    1.3 Agriculture, rural development and poverty
    1.4 The classical view of agriculture
    1.5 Agriculture as an "engine of growth"
    1.5 Agriculture growth for poverty reduction
    1.6 Rural development
    1.7 Barani Village development project:
    1.8 Main Research Questions
    1.9 Objectives
Chapter 2 Review Of Literature
    2.1 Poverty its measurement and scenario of Pakistan
    2.2 Poverty in rural areas/Rural Poverty Patterns
    2.3 Infrastructure, capacity building, rural development and poverty reduction
    2.4 Agriculture and poverty alleviation
    2.5 Poverty alleviation from livestock development
    2.6 Diversity in rural income generating activities
    2.7 Micro credit, women empowerment and poverty
Chapter 3 Methodology
    3.1 Direct Interviews
    3.2 Sample Selection
    3.3 Collection of Data
    3.4 Statistical Techniques
    3.5 Measures of Poverty
    3.6 Head-Count Index of Poverty
    3.7 Poverty Gap Index (PGI)
    3.8 Squared Poverty Gap Index (SPG)
    3.9 The Logit Regression
    3.10 Regression Analysis
Chapter 4 Results
    4.1 Material and Social Well-being of the people:
    4.2 Relative Poverty lines
    4.3 Income Approach:
    4.4 Expenditure Approach:
    4.5 Poverty Profiles and Parameters
    4.6 Determinants of Poverty
    4.7 Empirical Results
    4.8 Current and Past Income on Composite Household Commodities
    4.9 Current and Past Expenditure on Composite Household Commodities
Chapter 5 Conclusion And Policy Recommendations
Acknowledgements
References
Appendix A:Tables
Appendix B:Questionnaire
Publications



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