Decreasing uncertainties and reversing paradigms on the economic performance of agroforestry systems in Brazil
•Agroforestry enhances the generation of income and the recovery of degraded areas.•Agroforestry practice can be a viable alternative to family farming.•The volatility of emerging markets influence on return on investment. The return on investment in agroforestry depends mainly on meteorological and...
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Veröffentlicht in: | Land use policy 2019-01, Vol.80, p.274-286 |
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creator | Martinelli, Gabrielli do Carmo Schlindwein, Madalena Maria Padovan, Milton Parron Gimenes, Régio Marcio Toesca |
description | •Agroforestry enhances the generation of income and the recovery of degraded areas.•Agroforestry practice can be a viable alternative to family farming.•The volatility of emerging markets influence on return on investment.
The return on investment in agroforestry depends mainly on meteorological and market variables, both uncontrollable. For this, it is necessary to prepare investment projects to verify the feasibility before executing them, minimizing the risks and uncertainties to the farmer. In this sense, the study aimed to identify the economic and financial viability of a biodiverse agroforestry system to boost income generation and recovery of degraded areas. For this, it was decided to model a biodiverse agroforestry arrangement with the purpose of meeting the new Brazilian Forest Code, Law no. 12,651 of 2012 and promoting economic-financial return to the family farmer in the state of Mato Grosso do Sul. The study method considered the following capital investment valuation techniques: Net Present Value (NPV), Internal Rate of Return (IRR), Equivalent Uniform Annual Worth (EUAW), Discounted Payback Period (DPP), Profitability Index (PI), Modified Internal Rate of Return (MIRR), Benefit Cost Ratio (BCR) and Capital Asset Pricing Model (CAPM). In addition, sensitivity and risk analyzes were developed using Software R (R Development Core Team). There were 10,000 interactions between variables of productivity, price and variable costs. The results demonstrate that the agroforestry system is significantly viable regardless of whether the farmer owns rural property, since net sales revenues can remain higher than the costs over 20 years. |
doi_str_mv | 10.1016/j.landusepol.2018.09.019 |
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The return on investment in agroforestry depends mainly on meteorological and market variables, both uncontrollable. For this, it is necessary to prepare investment projects to verify the feasibility before executing them, minimizing the risks and uncertainties to the farmer. In this sense, the study aimed to identify the economic and financial viability of a biodiverse agroforestry system to boost income generation and recovery of degraded areas. For this, it was decided to model a biodiverse agroforestry arrangement with the purpose of meeting the new Brazilian Forest Code, Law no. 12,651 of 2012 and promoting economic-financial return to the family farmer in the state of Mato Grosso do Sul. The study method considered the following capital investment valuation techniques: Net Present Value (NPV), Internal Rate of Return (IRR), Equivalent Uniform Annual Worth (EUAW), Discounted Payback Period (DPP), Profitability Index (PI), Modified Internal Rate of Return (MIRR), Benefit Cost Ratio (BCR) and Capital Asset Pricing Model (CAPM). In addition, sensitivity and risk analyzes were developed using Software R (R Development Core Team). There were 10,000 interactions between variables of productivity, price and variable costs. The results demonstrate that the agroforestry system is significantly viable regardless of whether the farmer owns rural property, since net sales revenues can remain higher than the costs over 20 years.</description><identifier>ISSN: 0264-8377</identifier><identifier>EISSN: 1873-5754</identifier><identifier>DOI: 10.1016/j.landusepol.2018.09.019</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Agricultural economics ; Agroforestry ; Agroforestry systems ; Asset pricing ; Biodiversity ; Capital ; Capital assets ; Cost benefit analysis ; Economic conditions ; Economic viability ; Economics ; Family farms ; Feasibility studies ; Forest economics ; Income generation ; Internal rate of return ; Investment analysis ; Land use ; Law ; Mathematical models ; Payback periods ; Prices ; Productivity ; Profitability ; Project feasibility ; Property ; Public finance ; Return on investment ; Risk ; Rural areas ; Sales ; Sensitivity analysis ; Software ; Uncertainty ; Valuation ; Viability</subject><ispartof>Land use policy, 2019-01, Vol.80, p.274-286</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jan 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-f26442c627f6b5877d99831b5f254b1899c9c126cffdc24de3a97cf9f2f2e4fd3</citedby><cites>FETCH-LOGICAL-c346t-f26442c627f6b5877d99831b5f254b1899c9c126cffdc24de3a97cf9f2f2e4fd3</cites><orcidid>0000-0001-7834-9892</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S026483771830423X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27843,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Martinelli, Gabrielli do Carmo</creatorcontrib><creatorcontrib>Schlindwein, Madalena Maria</creatorcontrib><creatorcontrib>Padovan, Milton Parron</creatorcontrib><creatorcontrib>Gimenes, Régio Marcio Toesca</creatorcontrib><title>Decreasing uncertainties and reversing paradigms on the economic performance of agroforestry systems in Brazil</title><title>Land use policy</title><description>•Agroforestry enhances the generation of income and the recovery of degraded areas.•Agroforestry practice can be a viable alternative to family farming.•The volatility of emerging markets influence on return on investment.
The return on investment in agroforestry depends mainly on meteorological and market variables, both uncontrollable. For this, it is necessary to prepare investment projects to verify the feasibility before executing them, minimizing the risks and uncertainties to the farmer. In this sense, the study aimed to identify the economic and financial viability of a biodiverse agroforestry system to boost income generation and recovery of degraded areas. For this, it was decided to model a biodiverse agroforestry arrangement with the purpose of meeting the new Brazilian Forest Code, Law no. 12,651 of 2012 and promoting economic-financial return to the family farmer in the state of Mato Grosso do Sul. The study method considered the following capital investment valuation techniques: Net Present Value (NPV), Internal Rate of Return (IRR), Equivalent Uniform Annual Worth (EUAW), Discounted Payback Period (DPP), Profitability Index (PI), Modified Internal Rate of Return (MIRR), Benefit Cost Ratio (BCR) and Capital Asset Pricing Model (CAPM). In addition, sensitivity and risk analyzes were developed using Software R (R Development Core Team). There were 10,000 interactions between variables of productivity, price and variable costs. The results demonstrate that the agroforestry system is significantly viable regardless of whether the farmer owns rural property, since net sales revenues can remain higher than the costs over 20 years.</description><subject>Agricultural economics</subject><subject>Agroforestry</subject><subject>Agroforestry systems</subject><subject>Asset pricing</subject><subject>Biodiversity</subject><subject>Capital</subject><subject>Capital assets</subject><subject>Cost benefit analysis</subject><subject>Economic conditions</subject><subject>Economic viability</subject><subject>Economics</subject><subject>Family farms</subject><subject>Feasibility studies</subject><subject>Forest economics</subject><subject>Income generation</subject><subject>Internal rate of return</subject><subject>Investment analysis</subject><subject>Land use</subject><subject>Law</subject><subject>Mathematical models</subject><subject>Payback periods</subject><subject>Prices</subject><subject>Productivity</subject><subject>Profitability</subject><subject>Project feasibility</subject><subject>Property</subject><subject>Public finance</subject><subject>Return on investment</subject><subject>Risk</subject><subject>Rural areas</subject><subject>Sales</subject><subject>Sensitivity analysis</subject><subject>Software</subject><subject>Uncertainty</subject><subject>Valuation</subject><subject>Viability</subject><issn>0264-8377</issn><issn>1873-5754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkE1LAzEQhoMoWKv_IeB51yT7kc3R1k8oeNFzSLOTmtIm62RbqL_eaAWPnoZh5n3nnYcQylnJGW9v1uXGhH6XYIibUjDelUyVjKsTMuGdrIpGNvUpmTDR1kVXSXlOLlJaM8ZaxcWEhDuwCCb5sKK7YAFH48PoIdHsShH2gD-zwaDp_WqbaAx0fAcKNoa49ZYOgC7i1mQxjY6aFcbcQxrxQNMhjZA1PtAZmk-_uSRnzmwSXP3WKXl7uH-dPxWLl8fn-e2isFXdjoXLaWthWyFdu2w6KXuluoovGyeaesk7payyXLTWud6KuofKKGmdcsIJqF1fTcn10XfA-LHLYfQ67jDkk1pwKTlvWNvlre64ZTGmhOD0gH5r8KA509909Vr_0dXfdDVTOtPN0tlRCvmLvQfUyXrIDHqPYEfdR_-_yRd7o4ue</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Martinelli, Gabrielli do Carmo</creator><creator>Schlindwein, Madalena Maria</creator><creator>Padovan, Milton Parron</creator><creator>Gimenes, Régio Marcio Toesca</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-7834-9892</orcidid></search><sort><creationdate>201901</creationdate><title>Decreasing uncertainties and reversing paradigms on the economic performance of agroforestry systems in Brazil</title><author>Martinelli, Gabrielli do Carmo ; Schlindwein, Madalena Maria ; Padovan, Milton Parron ; Gimenes, Régio Marcio Toesca</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-f26442c627f6b5877d99831b5f254b1899c9c126cffdc24de3a97cf9f2f2e4fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural economics</topic><topic>Agroforestry</topic><topic>Agroforestry systems</topic><topic>Asset pricing</topic><topic>Biodiversity</topic><topic>Capital</topic><topic>Capital assets</topic><topic>Cost benefit analysis</topic><topic>Economic conditions</topic><topic>Economic viability</topic><topic>Economics</topic><topic>Family farms</topic><topic>Feasibility studies</topic><topic>Forest economics</topic><topic>Income generation</topic><topic>Internal rate of return</topic><topic>Investment analysis</topic><topic>Land use</topic><topic>Law</topic><topic>Mathematical models</topic><topic>Payback periods</topic><topic>Prices</topic><topic>Productivity</topic><topic>Profitability</topic><topic>Project feasibility</topic><topic>Property</topic><topic>Public finance</topic><topic>Return on investment</topic><topic>Risk</topic><topic>Rural areas</topic><topic>Sales</topic><topic>Sensitivity analysis</topic><topic>Software</topic><topic>Uncertainty</topic><topic>Valuation</topic><topic>Viability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martinelli, Gabrielli do Carmo</creatorcontrib><creatorcontrib>Schlindwein, Madalena Maria</creatorcontrib><creatorcontrib>Padovan, Milton Parron</creatorcontrib><creatorcontrib>Gimenes, Régio Marcio Toesca</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Environment Abstracts</collection><jtitle>Land use policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martinelli, Gabrielli do Carmo</au><au>Schlindwein, Madalena Maria</au><au>Padovan, Milton Parron</au><au>Gimenes, Régio Marcio Toesca</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decreasing uncertainties and reversing paradigms on the economic performance of agroforestry systems in Brazil</atitle><jtitle>Land use policy</jtitle><date>2019-01</date><risdate>2019</risdate><volume>80</volume><spage>274</spage><epage>286</epage><pages>274-286</pages><issn>0264-8377</issn><eissn>1873-5754</eissn><abstract>•Agroforestry enhances the generation of income and the recovery of degraded areas.•Agroforestry practice can be a viable alternative to family farming.•The volatility of emerging markets influence on return on investment.
The return on investment in agroforestry depends mainly on meteorological and market variables, both uncontrollable. For this, it is necessary to prepare investment projects to verify the feasibility before executing them, minimizing the risks and uncertainties to the farmer. In this sense, the study aimed to identify the economic and financial viability of a biodiverse agroforestry system to boost income generation and recovery of degraded areas. For this, it was decided to model a biodiverse agroforestry arrangement with the purpose of meeting the new Brazilian Forest Code, Law no. 12,651 of 2012 and promoting economic-financial return to the family farmer in the state of Mato Grosso do Sul. The study method considered the following capital investment valuation techniques: Net Present Value (NPV), Internal Rate of Return (IRR), Equivalent Uniform Annual Worth (EUAW), Discounted Payback Period (DPP), Profitability Index (PI), Modified Internal Rate of Return (MIRR), Benefit Cost Ratio (BCR) and Capital Asset Pricing Model (CAPM). In addition, sensitivity and risk analyzes were developed using Software R (R Development Core Team). There were 10,000 interactions between variables of productivity, price and variable costs. The results demonstrate that the agroforestry system is significantly viable regardless of whether the farmer owns rural property, since net sales revenues can remain higher than the costs over 20 years.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.landusepol.2018.09.019</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-7834-9892</orcidid></addata></record> |
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subjects | Agricultural economics Agroforestry Agroforestry systems Asset pricing Biodiversity Capital Capital assets Cost benefit analysis Economic conditions Economic viability Economics Family farms Feasibility studies Forest economics Income generation Internal rate of return Investment analysis Land use Law Mathematical models Payback periods Prices Productivity Profitability Project feasibility Property Public finance Return on investment Risk Rural areas Sales Sensitivity analysis Software Uncertainty Valuation Viability |
title | Decreasing uncertainties and reversing paradigms on the economic performance of agroforestry systems in Brazil |
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