IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v129y2021ics1389934121001106.html
   My bibliography  Save this article

Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon

Author

Listed:
  • Pinillos, Daniel
  • Poccard-Chapuis, René
  • Bianchi, Felix J.J.A.
  • Corbeels, Marc
  • Timler, Carl J.
  • Tittonell, Pablo
  • R. Ballester, Maria Victoria
  • Schulte, Rogier P.

Abstract

Forest conservation on privately owned lands is a cornerstone of the Brazilian environmental policy framework. Brazilian legislation requires that all farms in the country maintain and protect forest areas known as Legal Reserves. Since Legal Reserves have major implications for forest conservation and agricultural production, it is key that we understand landholders' perceptions towards Legal Reserves. We applied Q methodology to identify different perspectives of medium and large landholders on Legal Reserves and their relation to agricultural intensification in the municipality of Paragominas, eastern Amazon. We conducted 31 interviews in which landholders sorted 36 statements in a quasi-normal distribution array. Three groups of landholders were identified: 1) Land use planning enthusiasts (n = 16) were interested in zoning initiatives to explore alternative landscape designs and legislation that may deliver better conservation and production outcomes; 2) Agrochemical-based agriculture supporters (n = 7) held the most critical views against Legal Reserves and perceived their costs as higher than the potential environmental and life quality benefits; 3) Policy complacent-market responders (n = 4) showed no interest in Legal Reserves reforms and were the most market driven group.. While Paragominas has achieved notable successes in halting large-scale deforestation through a social “Green Municipality” pact, addressing persisting forest degradation and fragmentation in the region remains a key priority. Local governance initiatives that account for multi-stakeholder perceptions on forest conservation can foster dialogue and mutual understanding to effectively conserve and restore Legal Reserves. Insights on large landholders' perceptions on Legal Reserves can inform such governance processes to reconcile forest conservation and sustainable agricultural intensification in Paragominas.

Suggested Citation

  • Pinillos, Daniel & Poccard-Chapuis, René & Bianchi, Felix J.J.A. & Corbeels, Marc & Timler, Carl J. & Tittonell, Pablo & R. Ballester, Maria Victoria & Schulte, Rogier P., 2021. "Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon," Forest Policy and Economics, Elsevier, vol. 129(C).
    • Handle: RePEc:eee:forpol:v:129:y:2021:i:c:s1389934121001106
    DOI: 10.1016/j.forpol.2021.102504
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934121001106
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.forpol.2021.102504?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mertens, B. & Poccard-Chapuis, R. & Piketty, M. -G. & Lacques, A. -E. & Venturieri, A., 2002. "Crossing spatial analyses and livestock economics to understand deforestation processes in the Brazilian Amazon: the case of Sao Felix do Xingu in South Para," Agricultural Economics, Blackwell, vol. 27(3), pages 269-294, November.
    2. Jarl Kampen & Peter Tamás, 2014. "Overly ambitious: contributions and current status of Q methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3109-3126, November.
    3. Wendy Wolford & Saturnino M. Borras Jr. & Ruth Hall & Ian Scoones & Ben White & Gustavo Oliveira, 2013. "Land Regularization in Brazil and the Global Land Grab," Development and Change, International Institute of Social Studies, vol. 44(2), pages 261-283, March.
    4. Nunes, Sâmia & Barlow, Jos & Gardner, Toby & Sales, Márcio & Monteiro, Dyeden & Souza, Carlos, 2019. "Uncertainties in assessing the extent and legal compliance status of riparian forests in the eastern Brazilian Amazon," Land Use Policy, Elsevier, vol. 82(C), pages 37-47.
    5. Brito, Brenda, 2020. "The pioneer market for forest law compliance in Paragominas, Eastern Brazilian Amazon," Land Use Policy, Elsevier, vol. 94(C).
    6. Nicolas Koch & Erasmus K H J zu Ermgassen & Johanna Wehkamp & Francisco J B Oliveira Filho & Gregor Schwerhoff, 2019. "Agricultural Productivity and Forest Conservation: Evidence from the Brazilian Amazon," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 919-940.
    7. Merry, Frank & Amacher, Gregory & Lima, Eirivelthon, 2008. "Land Values in Frontier Settlements of the Brazilian Amazon," World Development, Elsevier, vol. 36(11), pages 2390-2401, November.
    8. Henders, Sabine & Ostwald, Madelene & Verendel, Vilhelm & Ibisch, Pierre, 2018. "Do national strategies under the UN biodiversity and climate conventions address agricultural commodity consumption as deforestation driver?," Land Use Policy, Elsevier, vol. 70(C), pages 580-590.
    9. Pereira, Mariana A. & Fairweather, John R. & Woodford, Keith B. & Nuthall, Peter L., 2016. "Assessing the diversity of values and goals amongst Brazilian commercial-scale progressive beef farmers using Q-methodology," Agricultural Systems, Elsevier, vol. 144(C), pages 1-8.
    10. Jos Barlow & Gareth D. Lennox & Joice Ferreira & Erika Berenguer & Alexander C. Lees & Ralph Mac Nally & James R. Thomson & Silvio Frosini de Barros Ferraz & Julio Louzada & Victor Hugo Fonseca Olivei, 2016. "Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation," Nature, Nature, vol. 535(7610), pages 144-147, July.
    11. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    12. Santiago, Thaís Muniz Ottoni & Caviglia-Harris, Jill & Pereira de Rezende, José Luiz, 2018. "Carrots, Sticks and the Brazilian Forest Code: the promising response of small landowners in the Amazon," Journal of Forest Economics, Elsevier, vol. 30(C), pages 38-51.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhongqiong Qu & Yongxin Wei & Xun Li, 2021. "Risk Perception of Rural Land Supply Reform in China: From the Perspective of Stakeholders," Agriculture, MDPI, vol. 11(7), pages 1-25, July.
    2. P. P. Braga, Daniel & Pokorny, Benno & Porro, Roberto & Vidal, Edson, 2023. "Good life in the Amazon? A critical reflection on the standard of living of cocoa and cattle-based smallholders in Pará, Brazil," World Development Perspectives, Elsevier, vol. 31(C).
    3. Raimundo Valdan Pereira Lopes & Francisco Leonardo Tejerina-Garro & Jandecy Cabral Leite & Manoel Henrique Reis Nascimento & Aline Santos do Nascimento, 2024. "Assessing the Degree of Sustainability in Extractive Reserves in the Amazon Biome Using the Fuzzy Logic Tool for Decision Making," Sustainability, MDPI, vol. 16(8), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniella Tiemi Sasaki Okida & Osmar Abílio de Carvalho Júnior & Osmar Luiz Ferreira de Carvalho & Roberto Arnaldo Trancoso Gomes & Renato Fontes Guimarães, 2021. "Relationship between Land Property Security and Brazilian Amazon Deforestation in the Mato Grosso State during the Period 2013–2018," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    2. Bowman, Maria S., 2016. "Impact of foot-and-mouth disease status on deforestation in Brazilian Amazon and cerrado municipalities between 2000 and 2010," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 25-40.
    3. Sauer, Sérgio, 2018. "Soy expansion into the agricultural frontiers of the Brazilian Amazon: The agribusiness economy and its social and environmental conflicts," Land Use Policy, Elsevier, vol. 79(C), pages 326-338.
    4. Mullan, Katrina & Caviglia-Harris, Jill L. & Sills, Erin O., 2021. "Sustainability of agricultural production following deforestation in the tropics: Evidence on the value of newly-deforested, long-deforested and forested land in the Brazilian Amazon," Land Use Policy, Elsevier, vol. 108(C).
    5. Araujo, Claudio & Bonjean, Catherine Araujo & Combes, Jean-Louis & Combes Motel, Pascale & Reis, Eustaquio J., 2009. "Property rights and deforestation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 68(8-9), pages 2461-2468, June.
    6. Benjamin T. Phalan, 2018. "What Have We Learned from the Land Sparing-sharing Model?," Sustainability, MDPI, vol. 10(6), pages 1-24, May.
    7. Igor Fedotenkov, 2020. "A Review of More than One Hundred Pareto-Tail Index Estimators," Statistica, Department of Statistics, University of Bologna, vol. 80(3), pages 245-299.
    8. Clarke, Philip & Van Ourti, Tom, 2010. "Calculating the concentration index when income is grouped," Journal of Health Economics, Elsevier, vol. 29(1), pages 151-157, January.
    9. Chotikapanich, Duangkamon & Griffiths, William E, 2002. "Estimating Lorenz Curves Using a Dirichlet Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 290-295, April.
    10. Blackman, Allen, 2013. "Evaluating forest conservation policies in developing countries using remote sensing data: An introduction and practical guide," Forest Policy and Economics, Elsevier, vol. 34(C), pages 1-16.
    11. Sills, Erin & Pfaff, Alexander & Andrade, Luiza & Kirkpatrick, Justin & Dickson, Rebecca, 2020. "Investing in local capacity to respond to a federal environmental mandate: Forest & economic impacts of the Green Municipality Program in the Brazilian Amazon," World Development, Elsevier, vol. 129(C).
    12. Xiaofeng Lv & Gupeng Zhang & Guangyu Ren, 2017. "Gini index estimation for lifetime data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 275-304, April.
    13. Carmenta, Rachel & Cammelli, Federico & Dressler, Wolfram & Verbicaro, Camila & Zaehringer, Julie G., 2021. "Between a rock and a hard place: The burdens of uncontrolled fire for smallholders across the tropics," World Development, Elsevier, vol. 145(C).
    14. Modalsli, Jørgen, 2011. "Inequality and growth in the very long run: inferring inequality from data on social groups," Memorandum 11/2011, Oslo University, Department of Economics.
    15. Suryakant Yadav, 2021. "Progress of Inequality in Age at Death in India: Role of Adult Mortality," European Journal of Population, Springer;European Association for Population Studies, vol. 37(3), pages 523-550, July.
    16. Tom Van Ourti & Philip Clarke, 2008. "The Bias of the Gini Coefficient due to Grouping," Tinbergen Institute Discussion Papers 08-095/3, Tinbergen Institute.
    17. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    18. Stephen Davies & Peter L. Ormosi, 2014. "The economic impact of cartels and anti-cartel enforcement," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2013-07v2, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    19. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    20. Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Risks, MDPI, vol. 6(2), pages 1-20, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:forpol:v:129:y:2021:i:c:s1389934121001106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.