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                <text>Staff  Publications</text>
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          <name>Title</name>
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              <text>CLOSING GENDER ASSET GAP IN LAND ACCESS AND CONTROL IN A1 SCHEMES IN ZIMBABWE&#13;
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              <text>TAVONGA NYAYA </text>
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              <text>The study reflected on the impact of the fast track land reform programme, 2000-2002 on the&#13;
distribution of land between men and women in A1 resettlement areas in Zimbabwe. Throughout the discourse&#13;
on the land reform programme, the virtues of land transfer have been extensively extolled while ignoring its&#13;
impact on gender relations and gender asset gap.&#13;
The study used a national quantitative baseline survey and qualitative data collected in Goromonzi District.&#13;
Qualitative data were collected through in-depth interviews, direct observations and documentary analysis so&#13;
as to triangulate the evidence. This dataset was used to complement findings from statistical analysis of the&#13;
survey data.&#13;
The chi-square tests on survey data and findings from the case study conducted in Goromonzi District&#13;
did not show evidence of discrimination against women under the fast track land reform programme. Instead,&#13;
women tended to obtain more rights to land through two avenues: obtaining land as individuals in their own&#13;
right and through the joint registration of offer letters with their husbands. The results showed that women&#13;
beneficiaries obtained the same land rights as men in terms of land use patterns.&#13;
The study recommended that allocation of land under the land reform programme should focus on individuals&#13;
within households. Government officials directly involved in the design, planning and implementation of the&#13;
land reform programme should be trained in gender analysis and participatory gender planning. Methods&#13;
should be devised to inform women about their land rights and the avenues through which these rights can be&#13;
enforced</text>
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          <name>Publisher</name>
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              <text>IOSR Journal Of Humanities And Social Science (IOSR-JHSS)</text>
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          <name>Date</name>
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              <text>2014</text>
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    <tag tagId="97">
      <name>A1 model; asset; chi-square; household; gender asset gap; statistical analysis; women</name>
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