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        <titl xml:lang="sv">Heterogeneous valuation and eco-efficiency of Laser Land Leveling in paddy production in the Mekong Delta</titl>
        <altTitl>Heterogeneous valuation and eco-efficiency of Laser Land Leveling in paddy production in the Mekong Delta</altTitl>
        <parTitl xml:lang="en">Heterogeneous valuation and eco-efficiency of Laser Land Leveling in paddy production in the Mekong Delta</parTitl>
        <IDNo agency="SND">2023-298-1</IDNo>
        <IDNo agency="gu.se">MS -546</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/1agb-np28</IDNo>
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    <citation>
      <titlStmt>
        <titl xml:lang="sv">Heterogeneous valuation and eco-efficiency of Laser Land Leveling in paddy production in the Mekong Delta</titl>
        <altTitl>Heterogeneous valuation and eco-efficiency of Laser Land Leveling in paddy production in the Mekong Delta</altTitl>
        <parTitl xml:lang="en">Heterogeneous valuation and eco-efficiency of Laser Land Leveling in paddy production in the Mekong Delta</parTitl>
        <IDNo agency="SND">2023-298-1</IDNo>
        <IDNo agency="gu.se">MS -546</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/1agb-np28</IDNo>
        <IDNo agency="DOI">10.1007/s10661-024-13509-x</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Nong Lam University: Ho Chi Minh City, Vietnam.">Tran Duc, Luan</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Nong Lam University: Ho Chi Minh City, Vietnam.">Tran Duc, Luan</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="School of Economics, University Of Economics Ho Chi Minh City, Vietnam (UEH)">Le Thanh, Loan</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="School of Economics, University Of Economics Ho Chi Minh City, Vietnam (UEH)">Le Thanh, Loan</AuthEnty>
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        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2025-02-11" />
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        <serName xml:lang="en" abbr="efd">Environment for Development</serName>
        <serInfo xml:lang="en">Environment for Development (EfD) is a global network of environmental economics research centers solving the world’s most pressing environmental and development challenges. We contribute to effective management of the environment in the Global South through policy-relevant research, capacity development and policy engagement.</serInfo>
        <serInfo xml:lang="sv">Environment for Development (EfD) är ett globalt nätverk av forskningscentra inom miljöekonomi som arbetar med att lösa världens mest angelägna miljö- och utvecklingsutmaningar. Vi bidrar till en effektiv förvaltning av miljön i det globala syd genom policyrelevant forskning, kapacitetsutveckling och policyengagemang.</serInfo>
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      <holdings URI="https://doi.org/10.5878/1agb-np28">Landing page</holdings>
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      <subject>
        <keyword xml:lang="en" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p14805">eco-efficiency</keyword>
        <keyword xml:lang="sv" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p14805">ekoeffektivitet</keyword>
        <topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=TradeIndustryAndMarkets.AgricultureAndRuralIndustry">Agriculture and rural industry</topcClas>
        <topcClas xml:lang="sv" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=TradeIndustryAndMarkets.AgricultureAndRuralIndustry">Jordbruk och landsbygdsnäring</topcClas>
      </subject>
      <abstract xml:lang="en" contentType="abstract">This dataset surveys the demand for land leveling by laser (LLL) services of the paddy growing farmers in the Mekong Delta provinces, Vietnam. Demographic characteristics of farmers, cultivated area, characteristics of land plot and rice cultivation process of households were reported. Using the auction method, farmers chose different levels of willingness to pay (WTP) for LLL service rental for each rice plot. The data represents for factors affecting WTP level were also collected to obtain necessary information for random control trial (RCT) research. We also collected the data on the rice cultivation regarding yield and inputs in the year from 2019 to 2022.
Vietnam, has been the second largest rice exporter in the world with 14% of global rice export volume in 2021. The impacts of climate change are regarded as the most significant challenge to agricultural production in Vietnam, especially for paddy production, as the country ranks sixth among the top 10 most at-risk nations globally. Besides, Vietnamese rice farmers encounter challenges of low productivity, fragmented cultivation areas, and inefficient use of inputs. The reduction in rice cultivation areas is projected to continue in Vietnam and other Asian countries Therefore, there is an urgent need to promote the adoption of sustainable agricultural technologies to ensure resilient and sustainable agricultural systems, particularly in paddy cultivation, amid a changing climate.
The rising prevalence of land fragmentation, especially in developing regions, introduces new challenges that remain largely unexplored. This dataset was collected to investigate how land fragmentation influences demand for precision agricultural technology and the policy challenges regarding fragmented landscapes.</abstract>
      <abstract xml:lang="sv" contentType="abstract">This dataset surveys the demand for land leveling by laser (LLL) services of the paddy growing farmers in the Mekong Delta provinces, Vietnam. Demographic characteristics of farmers, cultivated area, characteristics of land plot and rice cultivation process of households were reported. Using the auction method, farmers chose different levels of willingness to pay (WTP) for LLL service rental for each rice plot. The data represents for factors affecting WTP level were also collected to obtain necessary information for random control trial (RCT) research. We also collected the data on the rice cultivation regarding yield and inputs in the year from 2019 to 2022.
Vietnam, has been the second largest rice exporter in the world with 14% of global rice export volume in 2021. The impacts of climate change are regarded as the most significant challenge to agricultural production in Vietnam, especially for paddy production, as the country ranks sixth among the top 10 most at-risk nations globally. Besides, Vietnamese rice farmers encounter challenges of low productivity, fragmented cultivation areas, and inefficient use of inputs. The reduction in rice cultivation areas is projected to continue in Vietnam and other Asian countries Therefore, there is an urgent need to promote the adoption of sustainable agricultural technologies to ensure resilient and sustainable agricultural systems, particularly in paddy cultivation, amid a changing climate.
The rising prevalence of land fragmentation, especially in developing regions, introduces new challenges that remain largely unexplored. This dataset was collected to investigate how land fragmentation influences demand for precision agricultural technology and the policy challenges regarding fragmented landscapes.</abstract>
      <sumDscr>
        <collDate xml:lang="en" date="2019-12-25" event="start">2019-12-25</collDate>
        <collDate xml:lang="en" date="2022-02-15" event="end">2022-02-15</collDate>
        <anlyUnit xml:lang="en" unit="Household">Household<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=en-2.1.3">Household</concept></anlyUnit>
        <anlyUnit xml:lang="sv" unit="Hushåll">Hushåll<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=sv-2.1.3">Hushåll</concept></anlyUnit>
        <universe xml:lang="en">This data surveys the demand for land leveling by laser (LLL) services of the paddy growing farmers in the Mekong Delta provinces, Vietnam. Demographic characteristics of farmers, cultivated area, characteristics of land plot and paddy cultivation process of households were reported.</universe>
        <universe xml:lang="sv">This data surveys the demand for land leveling by laser (LLL) services of the paddy growing farmers in the Mekong Delta provinces, Vietnam. Demographic characteristics of farmers, cultivated area, characteristics of land plot and paddy cultivation process of households were reported.</universe>
        <dataKind xml:lang="en">Other</dataKind>
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        <timeMeth xml:lang="en">Other<concept vocab="DDI Time Method" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/TimeMethod/1.2.3?languageVersion=en-1.2.3">Other</concept></timeMeth>
        <timeMeth xml:lang="sv">Övrigt<concept vocab="DDI Time Method" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/TimeMethod/1.2.3?languageVersion=sv-1.2.3">Övrigt</concept></timeMeth>
        <sampProc xml:lang="en">For the selection of the primary data sample, the cluster sampling technique was employed. Particularly, An Giang and Kien Giang provinces were selected as the sites for this empirical study due to their prominence in paddy cultivation, encompassing the largest cultivation areas among the 13 provinces of the Mekong Delta. In addition, An Giang’s long-established rice farming tradition has led to a landscape characterized by smaller, carefully leveled fields, while Kien Giang, where paddy farming has been adopted more recently, is marked by larger fields shaped through ongoing land reforms. This contrast highlights the variation in soil types and intensive cropping systems, differences in freshwater availability, the utilization of technology, and irrigation management—whether managed individually or cooperatively (GSO, 2023). These provinces also demonstrate variations in topographical flatness, which acts as an indicator of the suitability for technology implementation, as well as in agricultural extension programs. These are important factors in the analysis of water efficiency resulting from the LLL technology adoption. Two communes were selected in each province in compliance with two distinct criteria. Firstly, at the time of the study in 2020, the LLL technology had not been broadly adopted as a common practice in the paddy field. Secondly, a significant proportion of farmers own plots larger than 1000  m2, the minimum size necessary for the LLL service implementation. For each commune, 75 farmers were randomly chosen in accordance with two previously defined criteria. We conducted seminars to introduce LLL technology. From an attendee list of approximately 100 farmers per commune, we selected participants on a rotating basis, choosing three for every one omitted. A total of 303 households, encompassing 764 paddy fields, were interviewed to conduct a BDM auction to select 201 winning plots based on a predetermined price. Finally, 97 plots were randomly allocated to either the treatment or control group via a lottery system. These 97 plots were investigated for their irrigation management, including irrigation water volumes, net water use, drainage practices, input applications, and other relevant data during the three winter–spring crops in 2020, 2021, and 2022.<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">For the selection of the primary data sample, the cluster sampling technique was employed. Particularly, An Giang and Kien Giang provinces were selected as the sites for this empirical study due to their prominence in paddy cultivation, encompassing the largest cultivation areas among the 13 provinces of the Mekong Delta. In addition, An Giang’s long-established rice farming tradition has led to a landscape characterized by smaller, carefully leveled fields, while Kien Giang, where paddy farming has been adopted more recently, is marked by larger fields shaped through ongoing land reforms. This contrast highlights the variation in soil types and intensive cropping systems, differences in freshwater availability, the utilization of technology, and irrigation management—whether managed individually or cooperatively (GSO, 2023). These provinces also demonstrate variations in topographical flatness, which acts as an indicator of the suitability for technology implementation, as well as in agricultural extension programs. These are important factors in the analysis of water efficiency resulting from the LLL technology adoption. Two communes were selected in each province in compliance with two distinct criteria. Firstly, at the time of the study in 2020, the LLL technology had not been broadly adopted as a common practice in the paddy field. Secondly, a significant proportion of farmers own plots larger than 1000  m2, the minimum size necessary for the LLL service implementation. For each commune, 75 farmers were randomly chosen in accordance with two previously defined criteria. We conducted seminars to introduce LLL technology. From an attendee list of approximately 100 farmers per commune, we selected participants on a rotating basis, choosing three for every one omitted. A total of 303 households, encompassing 764 paddy fields, were interviewed to conduct a BDM auction to select 201 winning plots based on a predetermined price. Finally, 97 plots were randomly allocated to either the treatment or control group via a lottery system. These 97 plots were investigated for their irrigation management, including irrigation water volumes, net water use, drainage practices, input applications, and other relevant data during the three winter–spring crops in 2020, 2021, and 2022.</concept></sampProc>
        <sampProc xml:lang="sv">For the selection of the primary data sample, the cluster sampling technique was employed. Particularly, An Giang and Kien Giang provinces were selected as the sites for this empirical study due to their prominence in paddy cultivation, encompassing the largest cultivation areas among the 13 provinces of the Mekong Delta. In addition, An Giang’s long-established rice farming tradition has led to a landscape characterized by smaller, carefully leveled fields, while Kien Giang, where paddy farming has been adopted more recently, is marked by larger fields shaped through ongoing land reforms. This contrast highlights the variation in soil types and intensive cropping systems, differences in freshwater availability, the utilization of technology, and irrigation management—whether managed individually or cooperatively (GSO, 2023). These provinces also demonstrate variations in topographical flatness, which acts as an indicator of the suitability for technology implementation, as well as in agricultural extension programs. These are important factors in the analysis of water efficiency resulting from the LLL technology adoption. Two communes were selected in each province in compliance with two distinct criteria. Firstly, at the time of the study in 2020, the LLL technology had not been broadly adopted as a common practice in the paddy field. Secondly, a significant proportion of farmers own plots larger than 1000  m2, the minimum size necessary for the LLL service implementation. For each commune, 75 farmers were randomly chosen in accordance with two previously defined criteria. We conducted seminars to introduce LLL technology. From an attendee list of approximately 100 farmers per commune, we selected participants on a rotating basis, choosing three for every one omitted. A total of 303 households, encompassing 764 paddy fields, were interviewed to conduct a BDM auction to select 201 winning plots based on a predetermined price. Finally, 97 plots were randomly allocated to either the treatment or control group via a lottery system. These 97 plots were investigated for their irrigation management, including irrigation water volumes, net water use, drainage practices, input applications, and other relevant data during the three winter–spring crops in 2020, 2021, and 2022.<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">For the selection of the primary data sample, the cluster sampling technique was employed. Particularly, An Giang and Kien Giang provinces were selected as the sites for this empirical study due to their prominence in paddy cultivation, encompassing the largest cultivation areas among the 13 provinces of the Mekong Delta. In addition, An Giang’s long-established rice farming tradition has led to a landscape characterized by smaller, carefully leveled fields, while Kien Giang, where paddy farming has been adopted more recently, is marked by larger fields shaped through ongoing land reforms. This contrast highlights the variation in soil types and intensive cropping systems, differences in freshwater availability, the utilization of technology, and irrigation management—whether managed individually or cooperatively (GSO, 2023). These provinces also demonstrate variations in topographical flatness, which acts as an indicator of the suitability for technology implementation, as well as in agricultural extension programs. These are important factors in the analysis of water efficiency resulting from the LLL technology adoption. Two communes were selected in each province in compliance with two distinct criteria. Firstly, at the time of the study in 2020, the LLL technology had not been broadly adopted as a common practice in the paddy field. Secondly, a significant proportion of farmers own plots larger than 1000  m2, the minimum size necessary for the LLL service implementation. For each commune, 75 farmers were randomly chosen in accordance with two previously defined criteria. We conducted seminars to introduce LLL technology. From an attendee list of approximately 100 farmers per commune, we selected participants on a rotating basis, choosing three for every one omitted. A total of 303 households, encompassing 764 paddy fields, were interviewed to conduct a BDM auction to select 201 winning plots based on a predetermined price. Finally, 97 plots were randomly allocated to either the treatment or control group via a lottery system. These 97 plots were investigated for their irrigation management, including irrigation water volumes, net water use, drainage practices, input applications, and other relevant data during the three winter–spring crops in 2020, 2021, and 2022.</concept></sampProc>
        <sampProc xml:lang="en">Other<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">Other</concept></sampProc>
        <sampProc xml:lang="sv">Övrigt<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">Övrigt</concept></sampProc>
        <collMode xml:lang="en">After collecting information from paddy households, the research team adjusted and supplemented paddy production targets according to the converted area of ​​1 hectare, entered data into Microsoft Excel and analyzed data using statistical other software.<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">After collecting information from paddy households, the research team adjusted and supplemented paddy production targets according to the converted area of ​​1 hectare, entered data into Microsoft Excel and analyzed data using statistical other software.</concept></collMode>
        <collMode xml:lang="sv">After collecting information from paddy households, the research team adjusted and supplemented paddy production targets according to the converted area of ​​1 hectare, entered data into Microsoft Excel and analyzed data using statistical other software.<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">After collecting information from paddy households, the research team adjusted and supplemented paddy production targets according to the converted area of ​​1 hectare, entered data into Microsoft Excel and analyzed data using statistical other software.</concept></collMode>
        <collMode xml:lang="en">Interview<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Interview</concept></collMode>
        <collMode xml:lang="sv">Intervju<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Intervju</concept></collMode>
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        <restrctn xml:lang="en">Access to data through SND. Access to data is restricted.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Tillgång till data är begränsad.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">restrictedAccess</conditions>
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      <relPubl>
        <citation>
          <titlStmt>
            <titl xml:lang="sv">Loan T. Le, Luan D. Tran, Trieu N. Phung. Laser land leveling technology for paddy production in Vietnam: impact on efficient irrigation and water conservation. Environ Monit Assess (2025) 197:17, https://doi.org/10.1007/s10661-024-13509-x</titl>
            <parTitl xml:lang="en">Loan T. Le, Luan D. Tran, Trieu N. Phung. Laser land leveling technology for paddy production in Vietnam: impact on efficient irrigation and water conservation. Environ Monit Assess (2025) 197:17, https://doi.org/10.1007/s10661-024-13509-x</parTitl>
            <IDNo agency="DOI">10.1007/s10661-024-13509-x</IDNo>
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            <distDate date="2025">2025</distDate>
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