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A systems approach for the estimation of the effects of land consolidation projects (LCPs): a model and its application

Identifieur interne : 000879 ( Istex/Corpus ); précédent : 000878; suivant : 000880

A systems approach for the estimation of the effects of land consolidation projects (LCPs): a model and its application

Auteurs : J. Castro Coelho ; P. Aguiar Pinto ; L. Mira Da Silva

Source :

RBID : ISTEX:A2D07204EADD1F17A8E61A4B60E64A8033AB3FA1

Abstract

Land consolidation projects (LCPs) are costly rural development actions that are often questioned. Integrated LCPs are geographically confined Land Rural Development Actions and their ex ante evaluation involves interdisciplinary research, in order to predict changes in farmers' behaviour, patterns of land use and in crops and technologies used. A model that incorporates methods for the evaluation of the performance of the agricultural system before and after the transformations proposed in the project is presented. It is argued that the systems approach is the appropriate method to integrate each particular change and evaluate the global impact of every action included in the project. The model was applied to the Valença-LCP in 1989, before project execution (Coelho, 1992 Análise de Projectos de Emparcelamento Rural. O caso de Valença do Minho. PhD thesis, UTL, ISA, Lisboa.). It evaluates each effect of the project (land, irrigation and drainage and road reconstruction) on a technical and social basis and estimates its economic impacts. The observed results used to evaluate model performance were obtained in 1995, after project implementation. The results from the comparison of model predictions (ex ante evaluation) with observations after LCP implementation (ex post evaluation) suggest that a multidisciplinary approach such as the one proposed here, supported by robust models, can be used as a reliable basis for the evaluation and decision-making process of LCPs.

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DOI: 10.1016/S0308-521X(00)00061-5

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<div type="abstract" xml:lang="en">Land consolidation projects (LCPs) are costly rural development actions that are often questioned. Integrated LCPs are geographically confined Land Rural Development Actions and their ex ante evaluation involves interdisciplinary research, in order to predict changes in farmers' behaviour, patterns of land use and in crops and technologies used. A model that incorporates methods for the evaluation of the performance of the agricultural system before and after the transformations proposed in the project is presented. It is argued that the systems approach is the appropriate method to integrate each particular change and evaluate the global impact of every action included in the project. The model was applied to the Valença-LCP in 1989, before project execution (Coelho, 1992 Análise de Projectos de Emparcelamento Rural. O caso de Valença do Minho. PhD thesis, UTL, ISA, Lisboa.). It evaluates each effect of the project (land, irrigation and drainage and road reconstruction) on a technical and social basis and estimates its economic impacts. The observed results used to evaluate model performance were obtained in 1995, after project implementation. The results from the comparison of model predictions (ex ante evaluation) with observations after LCP implementation (ex post evaluation) suggest that a multidisciplinary approach such as the one proposed here, supported by robust models, can be used as a reliable basis for the evaluation and decision-making process of LCPs.</div>
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<note type="content">Fig. 1: Location of the Land Consolidation Project of Valença (Coelho et al., 1996).</note>
<note type="content">Fig. 2: Farming system of the Valença-LCP area (Coelho et al., 1996).</note>
<note type="content">Fig. 3: Structure of the LCPs evaluation model.</note>
<note type="content">Fig. 4: Calculation of available days for maize establishment.</note>
<note type="content">Fig. 5: Crop duration, cultivar selection and estimation of potential and actual yields for the grain maize crop.</note>
<note type="content">Fig. 6: Estimates of different possible scenarios of the evolution of the innovation process. A, B and C are curves of the percentage of adopters over time. Curves A and A′ and C and C′ depict a speedy or slow process of innovation adoption, while curves B and B′ correspond to an intermediate situation (Coelho et al., 1996).</note>
<note type="content">Fig. 7: Observed and estimated evolution of the innovation adoption process by farmers in the Valença-LCP (Coelho et al., 1996).</note>
<note type="content">Table 1: Representative crop technologies and their importance</note>
<note type="content">Table 2: Structural characteristics of farms (A) without and (B) with the Valença LCP</note>
<note type="content">Table 3: Expected gains in cropped area, crop productivity and return to family labour and labour savings (A) without and (B) with the Valença LCP</note>
<note type="content">Table 4: Estimation of synergy effects resulting from investments in farm roads, drainage system, farm reorganisation and irrigation system, (A) without and (B) with the Valença LCP</note>
<note type="content">Table 5: Observed and estimated total costs of the Valença LCP (DGHEA, 1991)</note>
<note type="content">Table 6: Investment analysis of Valença LCP (ex ante evaluation)</note>
<note type="content">Table 7: Evaluation of model performance (with LCP)</note>
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<ce:simple-para>Land consolidation projects (LCPs) are costly rural development actions that are often questioned. Integrated LCPs are geographically confined Land Rural Development Actions and their ex ante evaluation involves interdisciplinary research, in order to predict changes in farmers' behaviour, patterns of land use and in crops and technologies used. A model that incorporates methods for the evaluation of the performance of the agricultural system before and after the transformations proposed in the project is presented. It is argued that the systems approach is the appropriate method to integrate each particular change and evaluate the global impact of every action included in the project. The model was applied to the Valença-LCP in 1989, before project execution (
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<abstract lang="en">Land consolidation projects (LCPs) are costly rural development actions that are often questioned. Integrated LCPs are geographically confined Land Rural Development Actions and their ex ante evaluation involves interdisciplinary research, in order to predict changes in farmers' behaviour, patterns of land use and in crops and technologies used. A model that incorporates methods for the evaluation of the performance of the agricultural system before and after the transformations proposed in the project is presented. It is argued that the systems approach is the appropriate method to integrate each particular change and evaluate the global impact of every action included in the project. The model was applied to the Valença-LCP in 1989, before project execution (Coelho, 1992 Análise de Projectos de Emparcelamento Rural. O caso de Valença do Minho. PhD thesis, UTL, ISA, Lisboa.). It evaluates each effect of the project (land, irrigation and drainage and road reconstruction) on a technical and social basis and estimates its economic impacts. The observed results used to evaluate model performance were obtained in 1995, after project implementation. The results from the comparison of model predictions (ex ante evaluation) with observations after LCP implementation (ex post evaluation) suggest that a multidisciplinary approach such as the one proposed here, supported by robust models, can be used as a reliable basis for the evaluation and decision-making process of LCPs.</abstract>
<note type="content">Fig. 1: Location of the Land Consolidation Project of Valença (Coelho et al., 1996).</note>
<note type="content">Fig. 2: Farming system of the Valença-LCP area (Coelho et al., 1996).</note>
<note type="content">Fig. 3: Structure of the LCPs evaluation model.</note>
<note type="content">Fig. 4: Calculation of available days for maize establishment.</note>
<note type="content">Fig. 5: Crop duration, cultivar selection and estimation of potential and actual yields for the grain maize crop.</note>
<note type="content">Fig. 6: Estimates of different possible scenarios of the evolution of the innovation process. A, B and C are curves of the percentage of adopters over time. Curves A and A′ and C and C′ depict a speedy or slow process of innovation adoption, while curves B and B′ correspond to an intermediate situation (Coelho et al., 1996).</note>
<note type="content">Fig. 7: Observed and estimated evolution of the innovation adoption process by farmers in the Valença-LCP (Coelho et al., 1996).</note>
<note type="content">Table 1: Representative crop technologies and their importance</note>
<note type="content">Table 2: Structural characteristics of farms (A) without and (B) with the Valença LCP</note>
<note type="content">Table 3: Expected gains in cropped area, crop productivity and return to family labour and labour savings (A) without and (B) with the Valença LCP</note>
<note type="content">Table 4: Estimation of synergy effects resulting from investments in farm roads, drainage system, farm reorganisation and irrigation system, (A) without and (B) with the Valença LCP</note>
<note type="content">Table 5: Observed and estimated total costs of the Valença LCP (DGHEA, 1991)</note>
<note type="content">Table 6: Investment analysis of Valença LCP (ex ante evaluation)</note>
<note type="content">Table 7: Evaluation of model performance (with LCP)</note>
<relatedItem type="host">
<titleInfo>
<title>Agricultural Systems</title>
</titleInfo>
<titleInfo type="abbreviated">
<title>AGSY</title>
</titleInfo>
<genre type="journal">journal</genre>
<originInfo>
<dateIssued encoding="w3cdtf">200106</dateIssued>
</originInfo>
<identifier type="ISSN">0308-521X</identifier>
<identifier type="PII">S0308-521X(00)X0076-5</identifier>
<part>
<date>200106</date>
<detail type="volume">
<number>68</number>
<caption>vol.</caption>
</detail>
<detail type="issue">
<number>3</number>
<caption>no.</caption>
</detail>
<extent unit="issue pages">
<start>179</start>
<end>268</end>
</extent>
<extent unit="pages">
<start>179</start>
<end>195</end>
</extent>
</part>
</relatedItem>
<identifier type="istex">A2D07204EADD1F17A8E61A4B60E64A8033AB3FA1</identifier>
<identifier type="DOI">10.1016/S0308-521X(00)00061-5</identifier>
<identifier type="PII">S0308-521X(00)00061-5</identifier>
<accessCondition type="use and reproduction" contentType="copyright">©2001 Elsevier Science Ltd</accessCondition>
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<recordOrigin>Elsevier Science Ltd, ©2001</recordOrigin>
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