IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v35y2006i2p145-155.html
   My bibliography  Save this article

Effective dimensionality and factors affecting crop‐livestock integration in West African savannas: a combination of principal component analysis and Tobit approaches

Author

Listed:
  • V. M. Manyong
  • I. Okike
  • T. O. Williams

Abstract

Crop‐livestock integration (CLI) to improve natural resource management for increased productivity is evolving in Nigeria and West Africa. Processes in the evolution and factors that influence it still need to be well understood. This article proposes and tests a new framework for measuring the multiple dimensionality of CLI. The framework derives a CLI index using the principal components of its most common single measures; it develops geographic information systems (GIS)‐based village‐level ecological and market factors; and it estimates parameters of factors affecting CLI using the derived index as the dependent variable in a Tobit model. The framework is tested using empirical data from 634 farm households in 11 geo‐referenced villages in the Sudan savanna (SS) and northern Guinea savanna (NGS), Nigeria. Along a north–south (SS to NGS) axis, CLI initially increases, peaking around 11.2°N, and then declines. This latitude probably identifies the boundary below which disease challenge constrains traditional livestock production and CLI. This polynomial pattern of CLI is contrary to an expected linear increase along lines of perceived potentials for rain‐fed crop production. Household resources, GIS‐derived village‐level market factors, and institutional factors also significantly affect CLI. Ecological and institutional factors have most impact on the probability of adoption and use intensities of CLI. The incorporation of GIS‐derived market factors with household and institutional variables in an econometric model offers new opportunities for assessing patterns of evolution of CLI, comparing results across sites, and targeting recommendation domains objectively. A comparison with results from more common methods of running independent models for individual indicators of CLI shows that this new framework is an effective way of reducing the multiple dimensionality of CLI to gain quicker, well‐focused knowledge of the processes of agricultural intensification.

Suggested Citation

  • V. M. Manyong & I. Okike & T. O. Williams, 2006. "Effective dimensionality and factors affecting crop‐livestock integration in West African savannas: a combination of principal component analysis and Tobit approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 145-155, September.
    • Handle: RePEc:bla:agecon:v:35:y:2006:i:2:p:145-155
    DOI: 10.1111/j.1574-0862.2006.00148.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1574-0862.2006.00148.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1574-0862.2006.00148.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pender, John L. & Place, Frank & Ehui, Simeon K., 1999. "Strategies for sustainable agricultural development in the East African highlands:," EPTD discussion papers 41, International Food Policy Research Institute (IFPRI).
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. Okike, I.O. & Jabbar, Mohammad A. & Manyong, Victor M. & Smith, J.W. & Akinwumi, J.A. & Ehui, Simeon K., 2001. "Agricultural intensification and efficiency in the West African savannas: evidence from northern Nigeria," Research Reports 182891, International Livestock Research Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. MEKURIA, Wuletaw & MEKONNEN, Kindu & ADUGNA, Marelign, 2020. "Farm Diversification In The Central Highlands Of Ethiopia. Patterns, Determinants And Its Effect On Household Income," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(1), March.
    2. Manyong, Victor M. & Alene, Arega D. & Odhiambo, George D. & Mignouna, H.D. & Bokanga, M. & Omanya, G. & Nindi, S.J., 2008. "Livelihood Strategies of Resource-Poor Farmers in Striga-Infested Areas of Western Kenya," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52195, African Association of Agricultural Economists (AAAE).
    3. Tittonell, Pablo & Gérard, Bruno & Erenstein, Olaf, 2015. "Tradeoffs around crop residue biomass in smallholder crop-livestock systems – What’s next?," Agricultural Systems, Elsevier, vol. 134(C), pages 119-128.
    4. Amiani, Lydia Vihenda, 2011. "Assessment Of The Socioeconomic Effects Of The Napier Stunt Disease On Small Scale Dairy Production In Bungoma District, Kenya," Research Theses 157510, Collaborative Masters Program in Agricultural and Applied Economics.

    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. Salvatore Di Falco & Jean‐Paul Chavas & Melinda Smale, 2007. "Farmer management of production risk on degraded lands: the role of wheat variety diversity in the Tigray region, Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 147-156, March.
    2. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    3. Antzoulatos, Angelos A., 1998. "Macroeconomic forecasts under the prism of error-correction models," Journal of Economics and Business, Elsevier, vol. 50(6), pages 535-550, November.
    4. Shane, Mathew & Roe, Terry L. & Somwaru, Agapi, 2008. "Exchange Rates, Foreign Income, and U.S. Agricultural Exports," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(2), pages 1-16.
    5. Kano, Takashi, 2009. "Habit formation and the present-value model of the current account: Yet another suspect," Journal of International Economics, Elsevier, vol. 78(1), pages 72-85, June.
    6. Menzies Gordon Douglas & Zizzo Daniel John, 2009. "Inferential Expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-27, December.
    7. Kazumi Endo, 2019. "Does the stock market value corporate environmental performance? Some perils of static regression models," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(6), pages 1530-1538, November.
    8. David Hauner & Manmohan Kumar, 2011. "Interest rates and budget deficits revisited-evidence from the G7 countries," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1463-1475.
    9. Anikó Bíró, 2013. "Subjective mortality hazard shocks and the adjustment of consumption expenditures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1379-1408, October.
    10. Zanini, Fabio C. & Irwin, Scott H. & Schnitkey, Gary D. & Sherrick, Bruce J., 2000. "Estimating Farm-Level Yield Distributions For Corn And Soybeans In Illinois," 2000 Annual meeting, July 30-August 2, Tampa, FL 21720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, Department of Economics and Law, Sapienza University of Roma.
    12. Jacques Jaussaud & Serge Rey, 2012. "Long‐Run Determinants Of Japanese Exports To China And The United States: A Sectoral Analysis," Pacific Economic Review, Wiley Blackwell, vol. 17(1), pages 1-28, February.
    13. Chasco, Coro & López, Ana María & Guillain, Rachel, 2008. "The non-stationary influence of geography on the spatial agglomeration of production in the EU," MPRA Paper 10737, University Library of Munich, Germany.
    14. Davidson, Russell & Flachaire, Emmanuel, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Journal of Econometrics, Elsevier, vol. 141(1), pages 141-166, November.
    15. Darrian Collins & Clem Tisdell, 2004. "Outbound Business Travel Depends on Business Returns: Australian Evidence," Australian Economic Papers, Wiley Blackwell, vol. 43(2), pages 192-207, June.
    16. Caginalp, Gunduz & DeSantis, Mark, 2017. "Does price efficiency increase with trading volume? Evidence of nonlinearity and power laws in ETFs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 436-452.
    17. Pentti Saikkonen & Antti Ripatti, 2000. "On the Estimation of Euler Equations in the Presence of a Potential Regime Shift," Manchester School, University of Manchester, vol. 68(s1), pages 92-121.
    18. María José Ibáñez & Felipe Vásquez Lavin & Roberto D. Ponce Oliva, 2023. "Female Underperformance Hypothesis Revisited: Methodological Review and Empirical Testing," SAGE Open, , vol. 13(4), pages 21582440231, December.
    19. Ramses Abul Naga & Frank Cowell, 2002. "Intergenerational Mobility in Britain: Revisiting the Prediction Approach of Dearden, Machin and Reed," Cahiers de Recherches Economiques du Département d'économie 02.15, Université de Lausanne, Faculté des HEC, Département d’économie.
    20. Liwu Hsu & Susan Fournier & Shuba Srinivasan, 2016. "Brand architecture strategy and firm value: how leveraging, separating, and distancing the corporate brand affects risk and returns," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 261-280, March.

    More about this item

    Statistics

    Access and download statistics

    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:bla:agecon:v:35:y:2006:i:2:p:145-155. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    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.