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Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources

Received: 14 March 2022     Accepted: 26 April 2022     Published: 8 June 2022
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Abstract

This study assessed Non-Inclusive Growth among rural households in Nigeria. Secondary data from General Household Survey (GHS) of 2010/2011, 2012/2013 and 2015/2016 were used. The GHS is a panel data consisting of 5,000 Households) of which 3,347 rural households were used. Data were obtained on socio-economic characteristics, living condition characteristics and geopolitical zones. Poverty gaps were estimated and matched to the economic growth rate to categorise households into non-inclusive growth. Data were analysed using descriptive statistics, Foster-Greer-Thorbecke (FGT) and Probit model. The mean age of the rural households were 41.8±9.4, 43.7±9.4, and 46.9±9.4 years, while the mean household sizes were 8.0±2.0, 7.3±3.1 and 7.5±1.8 for 2010/2011, 2012/2013 and 2015/2016 respectively. Majority were male, 65.0%, 65.4% and 65.5%, while 64.3%, 63.1% and 63.4% were married in 2010/2011, 2012/2013 and 2015/2016, respectively. households with no formal education (45.3%) was higher in 2012/2013 than in 2010/2011 (43.3%) and 2015/2016 (40.2%). The non-inclusive growth was higher without access to health facilities, access to energy, access to potable water and employment in periods 2010–2013, 2013–2016 and 2010–2016. The Probit results show that age of rural households, household size, education, access to health facilities, access to energy, access to potable water, access to credit, North East zone, North West zone, South South zone and South West zone influenced non-inclusive growth among rural households. Therefore, access to facilities and equitable share of resources should be paramount in the rural areas in order to reduce the poverty status of the people vis a vis reduced non-inclusiveness of growth.

Published in Agriculture, Forestry and Fisheries (Volume 11, Issue 3)
DOI 10.11648/j.aff.20221103.13
Page(s) 110-120
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Non–inclusive Growth, Rural Households, Economic Growth, Poverty, Nigeria

References
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[4] Akinlade R. J., S. A. Yusuf, B. T. Omonona, and A. S. Oyekale (2011): Poverty Alleviation Programme and Pro-poor Growth in Rural Nigeria: Case of Fadama II Project. World Rural Observations. 3 (1). 27-33.
[5] Amoo E. O. (2018.) Introduction to special edition on Covenant University’s perspectives on Nigeria demography and achievement of SDGs-2030. African Population Studies, 32, 1, 3993-3396.
[6] Anyanwu J. C. (2013), “The correlates of poverty in Nigeria and policy implications”, African Journal of Economic and Sustainable Development, 2, (1), 23–52.
[7] Asian Development Bank (ADB) (2013): Framework of Inclusive Growth. Key Indicators for Asia and the Pacific. Asian Development Bank Report, 2013.
[8] Ayantoye K., S. A Yusuf, B. T. Omonona and J. O. Amao (2011): Food security dynamics and its correlates among rural households in South western Nigeria. International Journal of Agricultural Economics and Rural Development. 4 (1). 43-55.
[9] Balogun O. L. (2011): Determinants of Poverty among Rural Households in South Western States, Nigeria. International Journal of Agricultural science, Research and Technology. 1 (2): 99-104.
[10] Fosu A. K. (2017). Growth, inequality, and poverty reduction in developing countries: Recent global evidence. Research in Economics, 71 (2), 306–336. https://doi.org/10.1016/j.rie.2016.05.005
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[14] OECD (2014): All on Board Making Inclusive Growth Happen. OECD Secretariat, and Ford Foundation, the OECD Inclusive Growth Initiative. Paris.
[15] Ogujiuba K. and S. K. Alehile (2011): Inclusive Growth in Nigeria: Policy Issues and Options for Poverty Reduction. International Journal of Social and Economic Research, 1 (1) Pp. 71-82.
[16] Ogundipe, A. A., Ogunniyi, A., Olagunju, K.,& Asaleye, A. J. (2019). Poverty and income inequality in rural agrarian household of southwestern Nigeria: The gender perspective. The Open Agriculture Journal, 13 (1), 51–57.
[17] Oluseye I. C. and A. A. Gabriel (2017): Determinants of Inclusive Growth in Nigeria: An ARDL Approach. American Journal of Economics. 7 (3). 97-109. DOI: 10.5923/j.economics.20170703.01.
[18] Omobowale A. O. (2014): Livelihood, Agro ecological Zones and Poverty in Rural Nigeria. Journal of Agricultural Sciences. 6 (2). Pp 103-113. doi.org/10.5539.jas.v6n2p103.
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[20] Omotola A. M, Okoruwa V. (2016): Inclusive Growth pattern in Rural Southwestern Nigeria: Opportunities and Challenges. 5th International Conference of the African Association of Agricultural Economists, September 23-26, 2016, Addis Ababa, Ethiopia.
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[22] Ramos A., R. Ranieri and J. Lammes (2013): Mapping Inclusive Growth. International Policy Centre on Inclusive Growth Working Paper No. 105, March.
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Cite This Article
  • APA Style

    Sikiru Ajijola, Bolarin Titus Omonona, Taiwo Timothy Awoyemi. (2022). Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources. Agriculture, Forestry and Fisheries, 11(3), 110-120. https://doi.org/10.11648/j.aff.20221103.13

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    ACS Style

    Sikiru Ajijola; Bolarin Titus Omonona; Taiwo Timothy Awoyemi. Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources. Agric. For. Fish. 2022, 11(3), 110-120. doi: 10.11648/j.aff.20221103.13

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    AMA Style

    Sikiru Ajijola, Bolarin Titus Omonona, Taiwo Timothy Awoyemi. Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources. Agric For Fish. 2022;11(3):110-120. doi: 10.11648/j.aff.20221103.13

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  • @article{10.11648/j.aff.20221103.13,
      author = {Sikiru Ajijola and Bolarin Titus Omonona and Taiwo Timothy Awoyemi},
      title = {Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources},
      journal = {Agriculture, Forestry and Fisheries},
      volume = {11},
      number = {3},
      pages = {110-120},
      doi = {10.11648/j.aff.20221103.13},
      url = {https://doi.org/10.11648/j.aff.20221103.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20221103.13},
      abstract = {This study assessed Non-Inclusive Growth among rural households in Nigeria. Secondary data from General Household Survey (GHS) of 2010/2011, 2012/2013 and 2015/2016 were used. The GHS is a panel data consisting of 5,000 Households) of which 3,347 rural households were used. Data were obtained on socio-economic characteristics, living condition characteristics and geopolitical zones. Poverty gaps were estimated and matched to the economic growth rate to categorise households into non-inclusive growth. Data were analysed using descriptive statistics, Foster-Greer-Thorbecke (FGT) and Probit model. The mean age of the rural households were 41.8±9.4, 43.7±9.4, and 46.9±9.4 years, while the mean household sizes were 8.0±2.0, 7.3±3.1 and 7.5±1.8 for 2010/2011, 2012/2013 and 2015/2016 respectively. Majority were male, 65.0%, 65.4% and 65.5%, while 64.3%, 63.1% and 63.4% were married in 2010/2011, 2012/2013 and 2015/2016, respectively. households with no formal education (45.3%) was higher in 2012/2013 than in 2010/2011 (43.3%) and 2015/2016 (40.2%). The non-inclusive growth was higher without access to health facilities, access to energy, access to potable water and employment in periods 2010–2013, 2013–2016 and 2010–2016. The Probit results show that age of rural households, household size, education, access to health facilities, access to energy, access to potable water, access to credit, North East zone, North West zone, South South zone and South West zone influenced non-inclusive growth among rural households. Therefore, access to facilities and equitable share of resources should be paramount in the rural areas in order to reduce the poverty status of the people vis a vis reduced non-inclusiveness of growth.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources
    AU  - Sikiru Ajijola
    AU  - Bolarin Titus Omonona
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    DO  - 10.11648/j.aff.20221103.13
    T2  - Agriculture, Forestry and Fisheries
    JF  - Agriculture, Forestry and Fisheries
    JO  - Agriculture, Forestry and Fisheries
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    EP  - 120
    PB  - Science Publishing Group
    SN  - 2328-5648
    UR  - https://doi.org/10.11648/j.aff.20221103.13
    AB  - This study assessed Non-Inclusive Growth among rural households in Nigeria. Secondary data from General Household Survey (GHS) of 2010/2011, 2012/2013 and 2015/2016 were used. The GHS is a panel data consisting of 5,000 Households) of which 3,347 rural households were used. Data were obtained on socio-economic characteristics, living condition characteristics and geopolitical zones. Poverty gaps were estimated and matched to the economic growth rate to categorise households into non-inclusive growth. Data were analysed using descriptive statistics, Foster-Greer-Thorbecke (FGT) and Probit model. The mean age of the rural households were 41.8±9.4, 43.7±9.4, and 46.9±9.4 years, while the mean household sizes were 8.0±2.0, 7.3±3.1 and 7.5±1.8 for 2010/2011, 2012/2013 and 2015/2016 respectively. Majority were male, 65.0%, 65.4% and 65.5%, while 64.3%, 63.1% and 63.4% were married in 2010/2011, 2012/2013 and 2015/2016, respectively. households with no formal education (45.3%) was higher in 2012/2013 than in 2010/2011 (43.3%) and 2015/2016 (40.2%). The non-inclusive growth was higher without access to health facilities, access to energy, access to potable water and employment in periods 2010–2013, 2013–2016 and 2010–2016. The Probit results show that age of rural households, household size, education, access to health facilities, access to energy, access to potable water, access to credit, North East zone, North West zone, South South zone and South West zone influenced non-inclusive growth among rural households. Therefore, access to facilities and equitable share of resources should be paramount in the rural areas in order to reduce the poverty status of the people vis a vis reduced non-inclusiveness of growth.
    VL  - 11
    IS  - 3
    ER  - 

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Author Information
  • Institute of Agricultural Research and Training (IAR&T), Moor Plantation, Ibadan, Nigeria

  • Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan, Ibadan, Nigeria

  • Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan, Ibadan, Nigeria

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