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Development of a Scale to Remove Farmers’ Sustainability Barriers to Meteorological Information in Iran

Author

Listed:
  • Naser Valizadeh

    (Department of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz 7144165186, Iran)

  • Latif Haji

    (Department of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz 7144165186, Iran)

  • Masoud Bijani

    (Department of Agricultural Extension and Education, College of Agriculture, Tarbiat Modares University (TMU), Tehran 1497713111, Iran)

  • Negin Fallah Haghighi

    (Department of Technology Development Studies (DTDS), Iranian Research Organization for Science and Technology (IROST), Tehran 7144165186, Iran)

  • Mahsa Fatemi

    (Department of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz 7144165186, Iran)

  • Ants-Hannes Viira

    (Institute of Economics and Social Sciences, Estonian University of Life Sciences, 51006 Tartu, Estonia)

  • Yenny Katherine Parra-Acosta

    (Business Administration, Universidad Militar Nueva Granada, Bogotá 110111, Colombia)

  • Alishir Kurban

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi 830011, China
    Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi 830011, China
    Sino-Belgian Joint Laboratory for Geo-Information, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Hossein Azadi

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi 830011, China
    Department of Geography, Ghent University, 9000 Ghent, Belgium
    Faculty of Environmental Sciences, Czech University of Life Sciences, 165 00 Prague, Czech Republic)

Abstract

Even with significant breakthroughs in the production and delivery of meteorological information, most farmers are not able to utilize such information properly and pertinently. Up to the present time, a standardized scale has not been developed to examine farmers’ sustainability barriers to meteorological information use (BMIU). Furthermore, there is no doubt that identifying indicators and dimensions of sustainability barriers to meteorological information and weather forecasts’ usage by farmers can play a major role in their adaptation and resilience to the risks of climate change. Therefore, the present study aimed to generate and validate a scale for BMIU by farmers through an eight-step approach. Accordingly, the statistical population included 9006 Iranian farmers, 368 of whom were selected as study samples. The principal component factor analysis (PCFA) and second-order confirmatory factor analysis (CFA) were further practiced to develop the scale for meteorological information and weather forecasts’ use. Factor analysis also led to the emergence of five latent factors including “educational–communicative barriers (ECBs)”, “normative barriers (NBs)”, “informational barriers (IBs)”, “infrastructural–political barriers (IPBs)”, and “professional–economic barriers (PEBs)”. The second-order CFA correspondingly confirmed these five factors and their 25 related indicators. Given the challenges facing academic scholars, decision makers, and authorities in the application and facilitation of meteorological information, the developed multidimensional scale in this study along with its implementation steps can be effective in examining the limitations of utilizing such information and measuring its impacts in different agricultural communities.

Suggested Citation

  • Naser Valizadeh & Latif Haji & Masoud Bijani & Negin Fallah Haghighi & Mahsa Fatemi & Ants-Hannes Viira & Yenny Katherine Parra-Acosta & Alishir Kurban & Hossein Azadi, 2021. "Development of a Scale to Remove Farmers’ Sustainability Barriers to Meteorological Information in Iran," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12617-:d:679589
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    1. Camila Ester Hollas & Alice Chiapetti Bolsan & Bruno Venturin & Gabriela Bonassa & Deisi Cristina Tápparo & Daniela Cândido & Fabiane Goldschmidt Antes & Matias B. Vanotti & Ariel A. Szögi & Airton Ku, 2021. "Second-Generation Phosphorus: Recovery from Wastes towards the Sustainability of Production Chains," Sustainability, MDPI, vol. 13(11), pages 1-30, May.
    2. Hoa Dang & Elton Li & Johan Bruwer & Ian Nuberg, 2014. "Erratum to: Farmers’ perceptions of climate variability and barriers to adaptation: lessons learned from an exploratory study in Vietnam," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(5), pages 549-549, June.
    3. Harvey S. J. Hill & James W. Mjelde & H. Alan Love & Debra J. Rubas & Stephen W. Fuller & Wesley Rosenthal & Graeme Hammer, 2004. "Implications of Seasonal Climate Forecasts on World Wheat Trade: A Stochastic, Dynamic Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 52(3), pages 289-312, November.
    4. Daniela Salite, 2019. "Traditional prediction of drought under weather and climate uncertainty: analyzing the challenges and opportunities for small-scale farmers in Gaza province, southern region of Mozambique," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(3), pages 1289-1309, April.
    5. Hansen, J. W., 2002. "Applying seasonal climate prediction to agricultural production," Agricultural Systems, Elsevier, vol. 74(3), pages 305-307, December.
    6. Katharine Vincent & Andrew J. Dougill & Jami L. Dixon & Lindsay C. Stringer & Tracy Cull, 2017. "Identifying climate services needs for national planning: insights from Malawi," Climate Policy, Taylor & Francis Journals, vol. 17(2), pages 189-202, February.
    7. Lan Mu & Lan Fang & Yuhong Liu & Chencheng Wang, 2020. "Identifying Barriers and Enablers for Climate Change Adaptation of Farmers in Semi-Arid North-Western China," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    8. Fernando Borrajo-Millán & María-del-Mar Alonso-Almeida & María Escat-Cortes & Liu Yi, 2021. "Sentiment Analysis to Measure Quality and Build Sustainability in Tourism Destinations," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    9. Hein, Yarzar & Vijitsrikamol, Kampanat & Attavanich, Witsanu & Janekarnkij, Penporn, 2019. "Do Farmers Perceive the Trends of Local Climate Variability Accurately? An Analysis of Farmers’ Perceptions and Meteorological Data in Myanmar," MPRA Paper 93990, University Library of Munich, Germany, revised Apr 2019.
    10. Jang Hyun Sung & Donghae Baek & Young Ryu & Seung Beom Seo & Kee-Won Seong, 2021. "Effects of Hydro-Meteorological Factors on Streamflow Withdrawal for Irrigation in Yeongsan River Basin," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    11. Hazran Z. & Norsida M. & Nitty Hirawaty K. & Nolila M.N., 2017. "The Post-flood Impacts on Farmers, Agricultural Sector and Food Security in Kelantan," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(9), pages 175-184, September.
    12. Maria Carmen Lemos & Christine J. Kirchhoff & Vijay Ramprasad, 2012. "Narrowing the climate information usability gap," Nature Climate Change, Nature, vol. 2(11), pages 789-794, November.
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    1. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    2. Ghadir Jalili-Bak & Masoud Bijani & Saeed Gholamrezai & Abdullah Momvandy, 2023. "Analyzing rural people’s resilience in the face of floodwater: Evidence from Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1595-1618, September.
    3. Carlos Alberto Almanza Junco & Yenny Katherine Parra Acosta & Mauricio Sabogal Salamanca, 2024. "Model of innovation in agriculture 4.0 processes in the department of Cundinamarca, Colombia," Revista Tendencias, Universidad de Narino, vol. 25(2), pages 86-112.

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