IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v152y2023ics1389934123000886.html
   My bibliography  Save this article

Using google search patterns to explain the demand for wild edible mushrooms

Author

Listed:
  • Diaz-Balteiro, L.
  • Alfranca, O.
  • Voces, R.
  • Soliño, M.

Abstract

The demand for quality wild fungi has been continually increasing over the past few years. However, problems arise when modelling this demand, owing to the difficulty of finding precise data on their origin or value chain. Nor is there any reliable information on the preferences of consumers; therefore, in this work, we aimed to analyse the influence of internet search engines on the demand for porcini mushrooms, a highly appreciated wild fungus. For this purpose, weekly figures for their prices and the amounts sold over nine years in one of the main central markets in Spain have been recorded for diverse wild (porcini, saffron milk caps, and king oyster mushrooms) and cultivated fungi. In addition, for the same period, searches for wild mushrooms using Google Trends and Google search engines were analysed. The results show that these searches improve the classic demand model, presenting different signs with regard to their influence on the price of the mushroom analysed. An increase in searches over time was also verified, which could be considered as an indicator of an increase in demand. Lastly, no complementarity relationships or substitutions for any other emblematic mushroom in Spain (saffron milk caps), or for any cultivated fungi, were observed.

Suggested Citation

  • Diaz-Balteiro, L. & Alfranca, O. & Voces, R. & Soliño, M., 2023. "Using google search patterns to explain the demand for wild edible mushrooms," Forest Policy and Economics, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:forpol:v:152:y:2023:i:c:s1389934123000886
    DOI: 10.1016/j.forpol.2023.102993
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934123000886
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2023.102993?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. Kim, Neri & Lučivjanská, Katarína & Molnár, Peter & Villa, Roviel, 2019. "Google searches and stock market activity: Evidence from Norway," Finance Research Letters, Elsevier, vol. 28(C), pages 208-220.
    2. Marini Govigli, Valentino & Górriz-Mifsud, Elena & Varela, Elsa, 2019. "Zonal travel cost approaches to assess recreational wild mushroom picking value: Trade-offs between online and onsite data collection strategies," Forest Policy and Economics, Elsevier, vol. 102(C), pages 51-65.
    3. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "Google search volumes and the financial markets during the COVID-19 outbreak," Finance Research Letters, Elsevier, vol. 42(C).
    4. Kilchling, Petra & Hansmann, Ralf & Seeland, Klaus, 2009. "Demand for non-timber forest products: Surveys of urban consumers and sellers in Switzerland," Forest Policy and Economics, Elsevier, vol. 11(4), pages 294-300, July.
    5. Starbuck, C.M.C. Meghan & Alexander, Susan J. & Berrens, Robert P. & Bohara, Alok K., 2004. "Valuing special forest products harvesting:: a two-step travel cost recreation demand analysis," Journal of Forest Economics, Elsevier, vol. 10(1), pages 37-53, May.
    6. Oehl, Bianca & Schaffer, Lena Maria & Bernauer, Thomas, 2017. "How to measure public demand for policies when there is no appropriate survey data?," Journal of Public Policy, Cambridge University Press, vol. 37(2), pages 173-204, June.
    7. Jaemin Woo & Ann L. Owen, 2019. "Forecasting private consumption with Google Trends data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(2), pages 81-91, March.
    8. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    9. Wilkinson, Leland & Friendly, Michael, 2009. "The History of the Cluster Heat Map," The American Statistician, American Statistical Association, vol. 63(2), pages 179-184.
    10. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    11. Voces, Roberto & Diaz-Balteiro, Luis & Alfranca, Óscar, 2012. "Demand for wild edible mushrooms. The case of Lactarius deliciosus in Barcelona (Spain)," Journal of Forest Economics, Elsevier, vol. 18(1), pages 47-60.
    12. Bangwayo-Skeete, Prosper F. & Skeete, Ryan W., 2015. "Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach," Tourism Management, Elsevier, vol. 46(C), pages 454-464.
    13. de Frutos, Pablo & Rodriguez-Prado, Beatriz & Latorre, Joaquín & Martinez-Peña, Fernando, 2019. "A Gravity Model to Explain Flows of Wild Edible Mushroom Picking. A Panel Data Analysis," Ecological Economics, Elsevier, vol. 156(C), pages 164-173.
    14. Diaz-Balteiro, Luis & Romero, Carlos, 2008. "Valuation of environmental goods: A shadow value perspective," Ecological Economics, Elsevier, vol. 64(3), pages 517-520, January.
    15. Frey, Gregory E. & Chamberlain, James L. & Schmidt, John Paul, 2020. "Estimating the value of forests for provisioning non-timber forest products to market: concepts, approaches, and case studies," Agricultural and Resource Economics Review, Cambridge University Press, vol. 49(1), pages 91-116, April.
    16. Schulp, C.J.E. & Thuiller, W. & Verburg, P.H., 2014. "Wild food in Europe: A synthesis of knowledge and data of terrestrial wild food as an ecosystem service," Ecological Economics, Elsevier, vol. 105(C), pages 292-305.
    17. de Frutos, Pablo & Rodríguez-Prado, Beatriz & Latorre, Joaquín & Martínez-Peña, Fernando, 2019. "Environmental valuation and management of wild edible mushroom picking in Spain," Forest Policy and Economics, Elsevier, vol. 100(C), pages 177-187.
    18. Malone, Trey & Swinton, Scott M. & Pudasainee, Aastha & Bonito, Gregory, 2022. "Economic Assessment of Morel (Morchella spp.) Foraging Activities in Michigan, USA," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322079, Agricultural and Applied Economics Association.
    19. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
    20. Martínez de Aragón, Juan & Riera, Pere & Giergiczny, Marek & Colinas, Carlos, 2011. "Value of wild mushroom picking as an environmental service," Forest Policy and Economics, Elsevier, vol. 13(6), pages 419-424, July.
    21. te Velde, Dirk Willem & Rushton, Jonathan & Schreckenberg, Kathrin & Marshall, Elaine & Edouard, Fabrice & Newton, Adrian & Arancibia, Erik, 2006. "Entrepreneurship in value chains of non-timber forest products," Forest Policy and Economics, Elsevier, vol. 8(7), pages 725-741, October.
    Full references (including those not matched with items on IDEAS)

    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. Voces, Roberto & Diaz-Balteiro, Luis & Alfranca, Óscar, 2012. "Demand for wild edible mushrooms. The case of Lactarius deliciosus in Barcelona (Spain)," Journal of Forest Economics, Elsevier, vol. 18(1), pages 47-60.
    2. de Frutos, Pablo & Rodriguez-Prado, Beatriz & Latorre, Joaquín & Martinez-Peña, Fernando, 2019. "A Gravity Model to Explain Flows of Wild Edible Mushroom Picking. A Panel Data Analysis," Ecological Economics, Elsevier, vol. 156(C), pages 164-173.
    3. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    4. de Frutos, Pablo, 2020. "Changes in world patterns of wild edible mushrooms use measured through international trade flows," Forest Policy and Economics, Elsevier, vol. 112(C).
    5. Chiara D’Alpaos & Michele Moretto & Paolo Rosato, 2023. "Common-Property Resource Exploitation: A Real Options Approach," Land, MDPI, vol. 12(7), pages 1-22, June.
    6. Marini Govigli, Valentino & Górriz-Mifsud, Elena & Varela, Elsa, 2019. "Zonal travel cost approaches to assess recreational wild mushroom picking value: Trade-offs between online and onsite data collection strategies," Forest Policy and Economics, Elsevier, vol. 102(C), pages 51-65.
    7. de Frutos, Pablo & Rodríguez-Prado, Beatriz & Latorre, Joaquín & Martínez-Peña, Fernando, 2019. "Environmental valuation and management of wild edible mushroom picking in Spain," Forest Policy and Economics, Elsevier, vol. 100(C), pages 177-187.
    8. Christoph Schunko & Christian R. Vogl, 2018. "Is the Commercialization of Wild Plants by Organic Producers in Austria Neglected or Irrelevant?," Sustainability, MDPI, vol. 10(11), pages 1-14, October.
    9. Zhongchen Song & Tom Coupé, 2023. "Predicting Chinese consumption series with Baidu," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(3), pages 429-463, July.
    10. Huber, P. & Hujala, T. & Kurttila, M. & Wolfslehner, B. & Vacik, H., 2019. "Application of multi criteria analysis methods for a participatory assessment of non-wood forest products in two European case studies," Forest Policy and Economics, Elsevier, vol. 103(C), pages 103-111.
    11. Emmanuel Sirimal Silva & Hossein Hassani & Dag Øivind Madsen & Liz Gee, 2019. "Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends," Social Sciences, MDPI, vol. 8(4), pages 1-23, April.
    12. Shackleton, Charlie M. & de Vos, Alta, 2022. "How many people globally actually use non-timber forest products?," Forest Policy and Economics, Elsevier, vol. 135(C).
    13. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    14. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
    15. Vera Z. Eichenauer & Ronald Indergand & Isabel Z. Martínez & Christoph Sax, 2022. "Obtaining consistent time series from Google Trends," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 694-705, April.
    16. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    17. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    18. Di Wu & Zhenning Xu & Seung Bach, 2023. "Using Google Trends to predict and forecast avocado sales," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 629-641, December.
    19. Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R., 2019. "Forecasting sales in the supply chain: Consumer analytics in the big data era," International Journal of Forecasting, Elsevier, vol. 35(1), pages 170-180.
    20. Juan D Montoro-Pons & Manuel Cuadrado-García, 2021. "Analyzing online search patterns of music festival tourists," Tourism Economics, , vol. 27(6), pages 1276-1300, September.

    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:152:y:2023:i:c:s1389934123000886. 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.