IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i10p1527-d922759.html
   My bibliography  Save this article

A Dose–Response Analysis of Rice Yield to Agrochemical Use in Ghana

Author

Listed:
  • Kwabena Nyarko Addai

    (Department of Agricultural Economics, Agribusiness and Extension, Kwame Nkrumah University of Science and Technology, UPO, Kumasi, Ghana)

  • John N. Ng’ombe

    (Department of Agribusiness, Applied Economics and Agriscience Education, North Carolina A&T State University, Greensboro, NC 27411, USA)

  • Simeon Kaitibie

    (Faculty of Agribusiness and Commerce, Lincoln University, Lincoln 7647, New Zealand)

Abstract

In recent years, Ghanaian agriculture has witnessed a surge in the use of agrochemicals, with the likely consequence that nonoptimal levels of application could cause environmental damage and economic losses. We identify the factors that affect the adoption of agrochemicals and the intensity of use in Ghanaian rice farming. We estimate the average treatment effects of chemical fertilizer and herbicide adoption using a Dose–Response Model (DRM). Our results show that a wide range of socioeconomic factors, including education, asset ownership, extension service, off-farm income, and land ownership affect adoption and use intensity of agrochemicals. On average, chemical fertilizer usage is associated with a 10% increase in the average treatment effect; low levels of chemical fertilizer have a negative impact on rice yield, and the result turns positive with more intensive use. Similarly, herbicide treatment generates a 7% increase in the average treatment effect, but higher herbicide levels will have negative causal effects on rice yield, and the result worsens with more herbicide treatment. Both agricultural technologies were designed to be used together, hence the appropriate mix of levels and intensity is crucial to achieve greater benefits. The DRM accounts for heterogeneity in the sample and is a useful tool to develop guidance on optimal levels of agrochemicals.

Suggested Citation

  • Kwabena Nyarko Addai & John N. Ng’ombe & Simeon Kaitibie, 2022. "A Dose–Response Analysis of Rice Yield to Agrochemical Use in Ghana," Agriculture, MDPI, vol. 12(10), pages 1-15, September.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1527-:d:922759
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/10/1527/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/10/1527/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmed, Musa Hasen, 2015. "Adoption of multiple agricultural technologies in maize production of the Central Rift Valley of Ethiopia," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(3), pages 1-7, December.
    2. Wencong Lu & Kwabena Nyarko Addai & John N. Ng’ombe, 2021. "Does the use of multiple agricultural technologies affect household welfare? Evidence from Northern Ghana," Agrekon, Taylor & Francis Journals, vol. 60(4), pages 370-387, October.
    3. Jamal Ali & Norhafezah Yusof & Fadzli Shah Abd. Aziz, 2018. "Factors influencing farmer’s perceptions and behavior toward pesticide use in Malaysia," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(5), pages 776-792, May.
    4. Chukwujekwu A. Obianefo & John N. Ng’ombe & Agness Mzyece & Blessing Masasi & Ngozi J. Obiekwe & Oluchi O. Anumudu, 2021. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria," Agriculture, MDPI, vol. 11(12), pages 1-13, December.
    5. Kwabena Nyarko Addai & John N. Ng’ombe & Omphile Temoso, 2022. "Food Poverty, Vulnerability, and Food Consumption Inequality Among Smallholder Households in Ghana: A Gender-Based Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 661-689, September.
    6. Kyi Moe & Aung Zaw Htwe & Thieu Thi Phong Thu & Yoshinori Kajihara & Takeo Yamakawa, 2019. "Effects on NPK Status, Growth, Dry Matter and Yield of Rice ( Oryza sativa ) by Organic Fertilizers Applied in Field Condition," Agriculture, MDPI, vol. 9(5), pages 1-15, May.
    7. McArthur, John W. & McCord, Gordon C., 2017. "Fertilizing growth: Agricultural inputs and their effects in economic development," Journal of Development Economics, Elsevier, vol. 127(C), pages 133-152.
    8. Kelvin Mulungu & Netsayi Noris Mudege, 2020. "Effect of Group and Leader Attributes on Men and Women Farmers’ Participation in Group Activities in Zambia," Feminist Economics, Taylor & Francis Journals, vol. 26(4), pages 178-204, October.
    9. Amadu, Festus O. & Miller, Daniel C. & McNamara, Paul E., 2020. "Agroforestry as a pathway to agricultural yield impacts in climate-smart agriculture investments: Evidence from southern Malawi," Ecological Economics, Elsevier, vol. 167(C).
    10. Kwabena Nyarko Addai & Wencong Lu & Omphile Temoso, 2021. "Are Female Rice Farmers Less Productive than Male Farmers? Micro-evidence from Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1997-2039, December.
    11. 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).
    12. Djebbari, Habiba & Smith, Jeffrey, 2008. "Heterogeneous impacts in PROGRESA," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 64-80, July.
    13. John N. Ng’ombe & Thomson H. Kalinda & Gelson Tembo, 2017. "Does adoption of conservation farming practices result in increased crop revenue? Evidence from Zambia," Agrekon, Taylor & Francis Journals, vol. 56(2), pages 205-221, April.
    14. Barbara Guardabascio & Marco Ventura, 2014. "Estimating the dose–response function through a generalized linear model approach," Stata Journal, StataCorp LP, vol. 14(1), pages 141-158, March.
    15. Teklewold, Hailemariam & Kassie, Menale & Shiferaw, Bekele & Köhlin, Gunnar, 2013. "Cropping system diversification, conservation tillage and modern seed adoption in Ethiopia: Impacts on household income, agrochemical use and demand for labor," Ecological Economics, Elsevier, vol. 93(C), pages 85-93.
    16. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    17. Simeon Kaitibie & William E. Nganje & B. Wade Brorsen & Francis M. Epplin, 2007. "A Cox Parametric Bootstrap Test of the von Liebig Hypotheses," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(1), pages 15-25, March.
    18. Giovanni Cerulli, 2015. "ctreatreg: Command for fitting dose–response models under exogenous and endogenous treatment," Stata Journal, StataCorp LP, vol. 15(4), pages 1019-1045, December.
    19. Valentina Adorno & Cristina Bernini & Guido Pellegrini, 2007. "The Impact of Capital Subsidies: New Estimations under Continuous Treatment," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 67-92, March.
    20. Gelson Tembo & B. Wade Brorsen & Francis M. Epplin & Emílio Tostão, 2008. "Crop Input Response Functions with Stochastic Plateaus," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 424-434.
    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. Kwabena Nyarko Addai & John N. Ng’ombe & Wencong Lu, 2023. "Disaggregated impacts of off-farm work participation on household vulnerability to food poverty in Ghana," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 83-104, March.
    2. Steckenleiter, Carina & Lechner, Michael & Pawlowski, Tim & Schüttoff, Ute, 2019. "Do local public expenditures on sports facilities affect sports participation in Germany?," Economics Working Paper Series 1905, University of St. Gallen, School of Economics and Political Science.
    3. Musa H. Ahmed & Hiwot M. Mesfin & Seltene Abady & Wendmagegn Mesfin & Amare Kebede, 2016. "Adoption of improved groundnut seed and its impact on rural households’ welfare in Eastern Ethiopia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1268747-126, December.
    4. Martey, Edward & Etwire, Prince Maxwell & Abdoulaye, Tahirou, 2020. "Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?," Land Use Policy, Elsevier, vol. 95(C).
    5. Ng'ombe, John, 2019. "Economics of the Greenseeder Hand Planter, Discrete Choice Modeling, and On-Farm Field Experimentation," Thesis Commons jckt7, Center for Open Science.
    6. Abdul-Hanan Abdallah & Awal Abdul-Rahaman & Gazali Issahaku, 2021. "Sustainable agricultural practices, farm income and food security among rural households in Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17668-17701, December.
    7. Tambo, J. & Mockshell, J., 2018. "Differential impacts of conservation agriculture technology options on household welfare in sub-Saharan Africa," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277035, International Association of Agricultural Economists.
    8. Sankhulani, Linda, 2021. "Impact evaluation of conservation agriculture on smallholder farmers’ livelihood in Zambia and Tanzania," Research Theses 334762, Collaborative Masters Program in Agricultural and Applied Economics.
    9. Andrea Filippetti & Giovanni Cerulli, 2018. "Are local public services better delivered in more autonomous regions? Evidence from European regions using a dose‐response approach," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 801-826, August.
    10. Kihara, Job & Manda, Julius & Kimaro, Anthony & Swai, Elirehema & Mutungi, Christopher & Kinyua, Michael & Okori, Patrick & Fischer, Gundula & Kizito, Fred & Bekunda, Mateete, 2022. "Contributions of integrated soil fertility management (ISFM) to various sustainable intensification impact domains in Tanzania," Agricultural Systems, Elsevier, vol. 203(C).
    11. Christopher Baum & Giovanni Cerulli, CNR-IRCrES, 2016. "Estimating a dose-response function with heterogeneous response to confounders when treatment is continuous and endogenous," EcoMod2016 9388, EcoMod.
    12. Issahaku, Gazali & Abdulai, Awudu, 2020. "Adoption of climate-smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
    13. Abyiot Teklu & Belay Simane & Mintewab Bezabih, 2022. "Effectiveness of Climate-Smart Agriculture Innovations in Smallholder Agriculture System in Ethiopia," Sustainability, MDPI, vol. 14(23), pages 1-26, December.
    14. Tambo, Justice A. & Mockshell, Jonathan, 2018. "Differential Impacts of Conservation Agriculture Technology Options on Household Income in Sub-Saharan Africa," Ecological Economics, Elsevier, vol. 151(C), pages 95-105.
    15. Tamru, Seneshaw & Minten, Bart, 2018. "Investing in wet mills and washed coffee in Ethiopia: Benefits and constraints," ESSP working papers 121, International Food Policy Research Institute (IFPRI).
    16. Michela Bia & Alessandra Mattei, 2012. "Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 485-516, November.
    17. Michela Bia & Roberto Leombruni & Pierre-Jean Messe, 2009. "Young in-Old out: a new evaluation based on Generalized Propensity Score," LABORatorio R. Revelli Working Papers Series 93, LABORatorio R. Revelli, Centre for Employment Studies.
    18. Gustavo Varela Alvarenga & Donald Matthew Pianto & Bruno César Araújo, 2014. "Impactsof The Brazilian Science And Technology Sector Funds On Industrialfirms’ R&D Inputs And Outputs: New Perspectives Using Adose-Response Function," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 158, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    19. Enrico Cristofoletti, 2021. "A Stata package for the estimation of the dose-response function when the treatment is multidimensional," DEM Working Papers 2021/07, Department of Economics and Management.
    20. Prifti, Ervin & Estruch, Elisenda & Daidone, Silvio & Davis, Benjamin, 2019. "How much is too much: Does the size of income support transfers affect labor supply?," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 179-196.

    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:gam:jagris:v:12:y:2022:i:10:p:1527-:d:922759. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.