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          <dc:title xml:lang="en">The Determinants of Technology Adoption:The Case of the Rice Sector in Tanzania</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Nakano, Yuko</jpcoar:creatorName>
            <jpcoar:familyName xml:lang="en">Nakano</jpcoar:familyName>
            <jpcoar:givenName xml:lang="en">Yuko</jpcoar:givenName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Kajisa, Kei</jpcoar:creatorName>
            <jpcoar:familyName xml:lang="en">Kajisa</jpcoar:familyName>
            <jpcoar:givenName xml:lang="en">Kei</jpcoar:givenName>
            <jpcoar:affiliation/>
          </jpcoar:creator>
          <jpcoar:subject subjectScheme="Other">technology adoption</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Green Revolution</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Sub-Saharan Africa</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Tanzania</jpcoar:subject>
          <datacite:description descriptionType="Abstract">Using an extensive household-level data set collected in Tanzania, this paper investigates the determinants of technology adoption in rice cultivation by focusing on the role of credit. We find that credit enhances fertilizer use and the adoption of labor-intensive agronomic practices such as transplanting in rows, for which monitoring of hired labor is easy. We also find that new technologies are adopted more widely in irrigated areas and small-scale farmers are not at a disadvantage. Based on these findings, we argue that with appropriate policies including credit, a rice Green Revolution can improve the productivity of small-scale farmers in Tanzania.</datacite:description>
          <dc:publisher xml:lang="en">JICA Research Institute</dc:publisher>
          <datacite:date dateType="Issued">2013-03-26</datacite:date>
          <dc:language>eng</dc:language>
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          <jpcoar:identifier identifierType="DOI">https://doi.org/10.18884/00000661</jpcoar:identifier>
          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/10685/113</jpcoar:identifier>
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          <jpcoar:identifierRegistration identifierType="JaLC">10.18884/00000661</jpcoar:identifierRegistration>
          <jpcoar:issue>Working Paper No.58</jpcoar:issue>
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            <datacite:date dateType="Available">2017-04-26</datacite:date>
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