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Adoption and intensity of integrated pest management (IPM) vegetable farming in Bangladesh: an approach to sustainable agricultural development

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  • Muhammad Kabir
  • Ruslan Rainis

Abstract

The common use of pesticide is a major challenge in trying to accomplish sustainable agriculture. Farming systems based on integrated pest management (IPM) technologies can reduce the use of pesticides to a great extent without causing harm to the yield. Therefore, Bangladesh, like many developing countries, launched IPM technologies to reduce the adverse effects of pesticides in social, economic and environmental aspects. This study made an attempt to analyze the level of IPM adoption and the intensity of IPM practices by vegetable farmers of Narsingdi district, Bangladesh. A total of 331 vegetable producers were sampled. The results revealed that less than one-third of the farmers (30 %) adopted IPM and they varied in terms of the number or type of practices. The use of logistic regression model in this study was to identify the significant factors of IPM adoption, explore several factors, including farmer field school, land ownership status, perception toward IPM, use of improved varieties and extension contact. Furthermore, the linear regression model showed that vegetable cultivation area, farmers’ age, household size, land ownership status and perception toward IPM are necessary in the adoption intensity of IPM practices. This study also made an attempt to clarify the role of these factors in the adoption behavior of IPM practices in vegetable farming. The findings could be used to formulate better policies toward increasing the adoption of this sustainable approach. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Muhammad Kabir & Ruslan Rainis, 2015. "Adoption and intensity of integrated pest management (IPM) vegetable farming in Bangladesh: an approach to sustainable agricultural development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(6), pages 1413-1429, December.
    • Handle: RePEc:spr:endesu:v:17:y:2015:i:6:p:1413-1429
    DOI: 10.1007/s10668-014-9613-y
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    4. Muhammad Humayun Kabir & Kh. Zulfikar Hossain & Md. Javed Azad & Mou Leong Tan, 2022. "Farmers’ climate change risk perception, adaptation capacity and barriers to adaptation: a multi-method approach," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 12(4), pages 769-781, December.
    5. Md. Sadique Rahman & Monoj Kumar Majumder, 2021. "Drivers of adoption and impacts of an eco-friendly agricultural technology in Bangladesh," SN Business & Economics, Springer, vol. 1(12), pages 1-18, December.
    6. Kumar, Anjani & Takeshima, Hiroyuki & Thapa, Ganesh & Adhikari, Naveen & Saroj, Sunil & Karkee, Madhab & Joshi, P.K., 2020. "Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal," Land Use Policy, Elsevier, vol. 95(C).
    7. Tengda Wei & Ye Liu & Ke Wang & Qiao Zhang, 2021. "Can Crop Insurance Encourage Farmers to Adopt Environmentally Friendly Agricultural Technology—The Evidence from Shandong Province in China," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    8. Li, Qi & Li, Kai, 2020. "Rice farmers’ demands for productive services: evidence from Chinese farmers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), September.
    9. Murendo, Conrad & Gwara, Simon & Mpofu, Nkululeko & Pedzisa, Tarisayi & Mazvimavi, Kizito & Chivenge, Pauline, 2016. "The adoption of a portfolio of sustainable agricultural practices by smallholder farmers in Zimbabwe," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246383, African Association of Agricultural Economists (AAAE).
    10. Samuel Jeff Otieno & Cecilia Nyawira Ritho & Jonathan Makau Nzuma & Beatrice Wambui Muriithi, 2023. "Determinants of Adoption and Dis-Adoption of Integrated Pest Management Practices in the Suppression of Mango Fruit Fly Infestation: Evidence from Embu County, Kenya," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    11. Ying Tang & Menghan Chen, 2022. "The Impact of Agricultural Digitization on the High-Quality Development of Agriculture: An Empirical Test Based on Provincial Panel Data," Land, MDPI, vol. 11(12), pages 1-16, November.
    12. Belén López-Felices & Juan Francisco Velasco-Muñoz & Isabel María Román-Sánchez & José Ángel Aznar-Sánchez, 2023. "Socioeconomic and technical factors determining the adoption of hedgerows around greenhouses in southeast Spain," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(5), pages 212-222.
    13. Charity M. Wangithi & Beatrice W. Muriithi & Raphael Belmin, 2021. "Adoption and Dis-Adoption of Sustainable Agriculture: A Case of Farmers’ Innovations and Integrated Fruit Fly Management in Kenya," Agriculture, MDPI, vol. 11(4), pages 1-18, April.
    14. Soniya Bashyal & Dikshya Poudel & Bhola Gautam, 2022. "A Review On Cultural Practice As An Effective Pest Management Approach Under Integrated Pest Management," Tropical Agroecosystems (TAEC), Zibeline International Publishing, vol. 3(1), pages 34-40, September.
    15. Uthpal Kumar & Saskia Werners & Sharmishtha Roy & Sadia Ashraf & Long Phi Hoang & Dilip Kumar Datta & Fulco Ludwig, 2020. "Role of Information in Farmers’ Response to Weather and Water Related Stresses in the Lower Bengal Delta, Bangladesh," Sustainability, MDPI, vol. 12(16), pages 1-24, August.
    16. Ashikur Rahman & Teoh Ai Ping & Syeda Khadija Mubeen & Imran Mahmud & Ghazanfer Ali Abbasi, 2022. "What Influences Home Gardeners’ Food Waste Composting Intention in High-Rise Buildings in Dhaka Megacity, Bangladesh? An Integrated Model of TPB and DMP," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    17. Xiuling Ding & Apurbo Sarkar & Lipeng Li & Hua Li & Qian Lu, 2022. "Effects of Market Incentives and Livelihood Dependence on Farmers’ Multi-Stage Pesticide Application Behavior—A Case Study of Four Provinces in China," IJERPH, MDPI, vol. 19(15), pages 1-19, August.

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