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Socioeconomic Dimension of Farming System

  • Mrinila Singh
  • Keshav Lall Maharjan
Chapter

Abstract

Though organic farming is sustainable, its share remains just 0.2% of the overall agricultural land in Nepal. In any adoption studies of agricultural innovations, socioeconomic variables are considered as important as agroecological variables and farmers’ perception. This chapter assesses impact of farm households’ socioeconomic variables that encourages or discourages adoption of organic and conventional farming systems in Chitwan District of Nepal. Data of 285 farm households was analyzed using binary logistic model. The result shows that while group formation plays a crucial role in commencing organic farming, it does not guarantee adoption over time because of varying levels of motivation among members. But households receiving higher number of organic farming-related training have highly significant probability to continue practicing organic farming. The impact of longevity of group formation and vitality of training is also reflected in adoption rate of organic farming among different village development committees considered for this study. Likewise, commercially available organic fertilizers and pesticides could also be playing significant role in the adoption rate of organic farming.

Keywords

Socioeconomic variables Adoption Binary logistic model Marginal effect 

References

  1. Adesope O, Matthews-Njoku E, Oguzor N, Ugwuja V (2011) Effect of socio-economic characteristics of farmers on their adoption of organic farming practices. In: Sharma P, Abrol V (eds) Crop production technologies. InTech, Rijeka, pp 211–220Google Scholar
  2. Adhikari RK (2009) Economics of organic vs. inorganic carrot production in Nepal. J Agricult Environ 10:23–38CrossRefGoogle Scholar
  3. Adhikari RK (2011) Economics of organic rice production. J Agricult Environ 12:97–103Google Scholar
  4. Alexopoulosa G, Koutsouris A, Tzouramani I (2010) Should I stay or should I go? Factors affecting farmers’ decision to convert to organic farming or to abandon it. 9th European IFSA symposium, 4–7 July 2010, ViennaGoogle Scholar
  5. Anderson S, Newell R (2003) Simplified marginal effects in discrete choice models. Resources for the Future, Washington, DCGoogle Scholar
  6. Bhat BR, Ghimire R (2008) Promotion of organic vegetable production through farmers’ field school in Chitwan, Nepal. 16th IFOAM Organic World Congress, International Federation of Organic Agriculture Movement (IFOAM), ModenaGoogle Scholar
  7. Field A (2000) Discovering statistics: using SPSS for windows. SAGE, LondonGoogle Scholar
  8. Halberg N, Alroe HF, Knudsen MT, Kristensen ES (2006) Global development of organic agriculture: challenges and prospects. CABI Publishing, OxfordshireCrossRefGoogle Scholar
  9. Kafle B (2010) Determinants of adoption of improved maize varieties in developing countries: a review. Inter Res J Appl Basic Sci 1(1):1–7Google Scholar
  10. Kafle B (2011a) Diffusion of uncertified organic vegetable farming among small farmers in Chitwan District, Nepal: a case of Phoolbari Village. Int J Agricult Res Rev 1(4):157–163Google Scholar
  11. Kafle B (2011b) Factors affecting adoption of organic vegetable farming in Chitwan District, Nepal. World J Agricult Sci 7(5):604–606Google Scholar
  12. Khaledi M, Weseen S, Sawyer E, Ferguson S, Gray R (2011) Factors influencing partial and complete adoption of organic farming practices in Saskatchewan, Canada. Can J Agric Econ 58(1):37–56CrossRefGoogle Scholar
  13. Long ST, Freese J (2006) Regression model for categorical dependent variables using stata. A Stata Press Publication, Collage StationGoogle Scholar
  14. Nhemachena C, Hassan R (2007) Micro-level analysis of farmers’ adaptation to climate change in Southern Africa. International Food Policy Research Institute (IFPRI), Washington, DCGoogle Scholar
  15. Organiconepal (2006) Linking organic farmers in incentive sharing mechanisms through promoting local marketing systems: An initiative from Himalayan kingdom of Nepal. Organic Agriculture Research and Production Co. (Organiconepal) Pvt. Lld., ChitwanGoogle Scholar
  16. Pattanapant A, Shivakoti GP (2009) Opportunities and constraints of organic agriculture in Chiang Mai Province, Thailand. Asia-Pac Develop J 16(1):115–147CrossRefGoogle Scholar
  17. Pindyck RS, Rubinfield D (1981) Econometric models and economic forecasts. McGraw Hill, New YorkGoogle Scholar
  18. Sarker MA, Itohara Y, Hoque M (2009) Determinants of adoption decisions: the case of organic farming (OF) in Bangladesh. Extens Farming Syst J 5(2):39–46Google Scholar
  19. SECARD (2011) Market oriented organic agriculture promotion project (MOAP) in Chitwan District of Nepal. Society for Environment Conservation and Agricultural Research and Development (SECARD) Nepal, KathmanduGoogle Scholar
  20. Sheikh AD, Rehman T, Yates CM (2003) Logit models for identifying the factors that influence the uptake of new ‘no-tillage’ technologies by farmers in the rice-wheat and the cotton-wheat farming systems of Pakistan’s Punjab. Agric Syst 75(1):79–95CrossRefGoogle Scholar
  21. Willer H, Lernoud J (2016) The world of organic agriculture: statistics and emerging trends. International Federation of Organic Agriculture Movements (IFOAM)/Research Institute of Organic Agriculture (FiBL), Bonn/FrickGoogle Scholar
  22. Willer H, Yussefi M (2006) The world of organic agriculture: statistics and emerging trends. International Federation of Organic Agriculture Movements (IFOAM)/Research Institute of Organic Agriculture (FiBL), Bonn/FrickGoogle Scholar
  23. Wooldridge JM (2006) Introductory econometrics: a modern approach. Thomson South Western, OhioGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Mrinila Singh
    • 1
  • Keshav Lall Maharjan
    • 1
  1. 1.Graduate School for International Development and CooperationHiroshima UniversityHigashi-HiroshimaJapan

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