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Influence of proximity to and type of foraging habitat on value of insect pollination in the tropics, with applications to Kenya

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  • Mulwa, Richard
  • Siikamaki, Juha
  • Ndwiga, Michael
  • Alvsilver, Jessica

Abstract

Insect pollination improves the yield of most crop species and contributes to one-third of global crop production. The importance of this ecosystem service in improving agricultural production has largely been overlooked, however, in favour of practices that improve soil conditions such as fertiliser use and supplementary irrigation. Using economic modelling, this study estimates the value of insect pollination under different land-use types in Kenya. Our model assumes that a combination of land-use type and the foraging distance of insect pollinators influences the intensity of pollination and the value of agricultural output. To demonstrate the hypothesised relationships, areas under different land-use types, e.g. forest, grassland and cropland, and their distances from households were used as proxies for insect pollination. Concentric buffer zones representing foraging distances of pollinators from the land-use types were drawn at 250 m, 500 m, 1 000 m, 2 000 m and 3 000 m from the farms, and areas under each land use in the buffer zones were estimated for the years 2004, 2007 and 2010. Using the random-effects model and an output distance-function stochastic frontier model, the land-use areas, other factors of production and climate variables were regressed on the value of agricultural output in each buffer zone to determine their contribution to agricultural output resulting from insect pollination. The results indicate higher crop productivity on farms bordering forests and grasslands. This implies that insect pollinators are important for crop production, and increasing the number of pollinator habitats closer to the farms will increase food production in the tropics.

Suggested Citation

  • Mulwa, Richard & Siikamaki, Juha & Ndwiga, Michael & Alvsilver, Jessica, 2022. "Influence of proximity to and type of foraging habitat on value of insect pollination in the tropics, with applications to Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(2), June.
  • Handle: RePEc:ags:afjare:333970
    DOI: 10.22004/ag.econ.333970
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    as
    1. Sean Nee, 2004. "More than meets the eye," Nature, Nature, vol. 429(6994), pages 804-805, June.
    2. Lars Gamfeldt & Tord Snäll & Robert Bagchi & Micael Jonsson & Lena Gustafsson & Petter Kjellander & María C. Ruiz-Jaen & Mats Fröberg & Johan Stendahl & Christopher D. Philipson & Grzegorz Mikusiński , 2013. "Higher levels of multiple ecosystem services are found in forests with more tree species," Nature Communications, Nature, vol. 4(1), pages 1-8, June.
    3. Gallai, Nicola & Salles, Jean-Michel & Settele, Josef & Vaissière, Bernard E., 2009. "Economic valuation of the vulnerability of world agriculture confronted with pollinator decline," Ecological Economics, Elsevier, vol. 68(3), pages 810-821, January.
    4. Turpie, J.K. & Marais, C. & Blignaut, J.N., 2008. "The working for water programme: Evolution of a payments for ecosystem services mechanism that addresses both poverty and ecosystem service delivery in South Africa," Ecological Economics, Elsevier, vol. 65(4), pages 788-798, May.
    5. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    6. Timo Kuosmanen & Diemuth Pemsl & Justus Wesseler, 2006. "Specification and Estimation of Production Functions Involving Damage Control Inputs: A Two-Stage, Semiparametric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 499-511.
    7. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    8. Erik Lichtenberg & David Zilberman, 1986. "The Econometrics of Damage Control: Why Specification Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 261-273.
    9. Mensah, Amos & Brümmer, Bernhard, 2016. "A multi-output production efficiency analysis of commercial banana farms in the Volta region of Ghana: A stochastic distance function approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(4), pages 1-12, December.
    10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    11. Gallai, Nicola & Salles, Jean-Michel & Settele, Josef & Vaissière, Bernard E., 2009. "Economic valuation of the vulnerability of world agriculture confronted with pollinator decline," Ecological Economics, Elsevier, vol. 68(3), pages 810-821, January.
    12. de Groot, Rudolf S. & Wilson, Matthew A. & Boumans, Roelof M. J., 2002. "A typology for the classification, description and valuation of ecosystem functions, goods and services," Ecological Economics, Elsevier, vol. 41(3), pages 393-408, June.
    13. Frélichová, Jana & VaÄ kář, David & Pártl, Adam & LouÄ ková, Blanka & HarmÃ¡Ä ková, Zuzana V. & Lorencová, EliÅ¡ka, 2014. "Integrated assessment of ecosystem services in the Czech Republic," Ecosystem Services, Elsevier, vol. 8(C), pages 110-117.
    14. Meeusen, Wim & van den Broeck, J, 1977. "Technical Efficiency and Dimension of the Firm: Some Results on the Use of Frontier Production Functions," Empirical Economics, Springer, vol. 2(2), pages 109-122.
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