ON-FARM INCOME DIVERSIFICATION DECISIONS OF RURAL FARM HOUSEHOLDS IN ENUGU STATE NIGERIA

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ABSTRACT

There has been a drive on the part of consumers, producers, researchers and policy makers for a transition toward a new phase of agriculture. Within this vision, diversifying income among farm households is critical to this drive. In the process of traditional economy transforming into  modern  economy  in  Nigeria,  farmers’  diversification   phenomena   has  arisen  and developed  and will continue  a long time  in the future.  Income  instability  has  been a  major challenge  to the rural farming households  and this has adversely affected agricultural  productivity. This  necessitated  the  study  on  on-farm  income  diversification  decisions  of  rural  farm households  in Enugu  State,  Nigeria.  The  study  adopted  the  survey research  design.  Five objectives  and  one hypothesis  guided  the study.  The sample  of the  study comprised  240 respondents  from  three  agricultural  zones  sampled  through  multi-stage  random  sampling technique.  Researcher-developed  questionnaire  was the instrument  used for data collection and the instrument was  validated by three experts in agriculture. Cronbach’s alpha method was used to determine the internal consistency of the items and the result yielded a coefficient of 0.78  and was therefore reliable. The researcher with the help of three research assistants distributed  the questionnaire  which were used for data analysis. Data were analysed  using descriptive and inferential statistics: statistical mean, multinomial logit model,  participation index, exploratory factor analysis and chi-square test. The study found that women (62.13%) dominated the rural farm household heads. Forty-two percent of the  household heads were within the highly productive age range of 41-50 years. Twenty percent of the household heads attended  primary school while  26% and 45% attended  secondary and tertiary institutions respectively. Farming was the major occupation of majority (43.83%) of the respondents with majority having a household size of 1-5 members. Most of the farmers (53.19%) have a farm size of not more than 2 hectares.  Most of the farmers (50.21%) practised  mixed farming. Average annual on-farm income of the farm households was N158,000.00, N132,000.00 and N215,000.00  for  crop  farming,  livestock farming and mixed  farming respectively.  Factors influencing the choice of income sources were identified as gender (p<0.05), age (p<0.01), educational level (p<0.10), farm size (p<0.10), on-farm annual income (p<0.01) and access to credit  facilities  (p<0.05).  The  participation   index  of  gender  (men  and   women)   on  income diversification showed that men dominated women in decision making with a mean score of 2.64 and

2.62 respectively. Institutional, financial and infrastructural constraints were the major barriers faced by rural farm households in raising income from various farm sources. The result of the hypothesis  showed  that  there  was  a significant  (P<0.01)  and  positive  correlation  between  socio- economic characteristics  of rural farmers and their choice of income sources. It was recommended among others that farmers should join a farmers association in order to gain better access to extension services, farmers should identify and include high-valued agricultural products in their farm businesses  in order to expand  diversification  portfolios  and government  should rehabilitate abandoned rural roads in order to reduce high cost of transportation.

CHAPTER ONE

INTRODUCTION

1.1      Background Information

Nigeria has been an agricultural economy since the colonial period up to the  1970s when  we  witnessed  the  oil  boom.  The  agricultural  sector  contributed  over  60%  to  the country’s  Gross  Domestic  Product  (National  Technical  Working  Group  (NTWG),  2009). From early 1970s to mid-1980s, rapid expansion of the oil sector played a role in eroding the competitiveness of agriculture. The nation grew to rely heavily on earnings from oil exports without   making  the  investments   needed   to  diversify  the   economy  through  sustained agricultural growth (NTWG, 2009). However, it has been realised that agricultural sector in Nigeria is currently a key sector that can address the multiple challenges which has kept the country  from  achieving  broad-based   economic   growth,  increasing  household  incomes, increasing  employment,  and reducing  food/nutrition  insecurity and poverty (Stakeholder’s Forum, 2009). The forum stated  that agriculture provides 88% of non-oil foreign exchange earnings.  According  to  NTWG  (2009)  and  National  Bureau  of  Statistics  (NBS)  (2013), agriculture contributes about 42% of Gross Domestic Product (GDP) as against 13-13.5% of Oil and Gas as well as employs two-thirds of Nigeria’s entire labour force.

According to Enete and Achike (2008), no less than a quarter of the world population belongs to the farm households. One way or another, their livelihoods depend on agriculture (Department for International Development (DFID), 2002). This is to say that agriculture and allied activities are the mainstay of the people living in rural areas (Pal and Biswas, 2011). According  to  National  Planning   Commission   (NPC)   (2004),  the  bulk  of  agricultural production in Nigeria takes place in the rural areas. Ogwumike and Akinnibosun (2013) stated

that agriculture is the economic stronghold of majority of households in Nigeria and is the source of livelihood  for about 90% of the rural population and provides raw  materials for agro-allied industries. In addition, the rural farm households are the country’s major hope for sustained agricultural production as major investments  in  agriculture are targeted in arable lands in the rural areas.

Farm households have many challenges which include income variability (Adebayo, Akogwu & Yisa, 2012). This is because high levels of income inequality are likely to create a hostile atmosphere for economic growth and development (Adepoju & Oyewole, 2014). Enete and Achike (2008) asserted that unstable income of farm households could be accounted for by unfavourable weather changes, outbreak of plague, pollution in coastal waters, eruption of negative externalities,  and other uncertainties  which pose threats to farming activities  and yields, thereby causing income to fluctuate erratically. The continuous increase in the rate of poverty in Nigeria and the dwindling nature of income of individuals has made and still make people look elsewhere for succour through income diversification (Adeyemi, Ijaiya & Ijaiya,

2007; Ijaiya, Ijaiya, Bello, Ijaiya & Ajayi, 2009; Adebayo et al., 2012). There has been a drive on the part of a vocal contingent of consumers, producers, researchers and policy makers who call for a transition toward a new face of agriculture. Within this vision, diversifying income with  respect  to  farming  system  has  emerged  to  maintain  ecosystem  services  critical  to agricultural production (Bowman & Zilberman, 2013).

Most  rural  households  in  developing  countries  are  undergoing  the  process   of diversifying their income sources (Zhao & Barry, 2013). Delgado and Siamwalla (1997) and Gomes  and  Livdan  (2004)  opined  that  rural  households  adjust  their  activities  to  exploit attractive new productive opportunities. Rural households in many different countries have been found to diversify their income sources allowing them to  spread risk (Ellis, 1998, in Ibrahim, Rahman, Envulus & Oyewole, 2009). The food  crisis experienced  in 2006 which soared  in 2007  (Stakeholders  Forum,  2009)  seemed  to  have driven Nigeria  to delve  into

diversification. Several researchers maintained that these adjustments in agricultural activities are found to have an important impact on income, income distribution  and  welfare across rural households  (Ellis,  2000a;  Reardon,  Taylor,  Stamoulis,  Lanjouw  &  Balisacan,  2000; Block & Webb, 2001; Hoogeven, 2001; Canagarajah, Newman & Bhattamishra, 2001 and de Janvry & Sadoulet, 2001).

Income diversification is a form of risk management strategy aimed at cushioning the effects  of  shocks  (economic  and  agro-climate),  poverty  reduction,  reduction  in  income inequality,  production instability and overall improvement  in the standard of  living of the people (Barrett & Reardon, 2000; Abdulai & CroleRees, 2001; Barrett,  Reardon & Webb,

2001; Deininger & Olintro, 2001; Little, 2001; Woldenhanna & Oskan, 2001; Adugna, 2006; Minot, Epprecht, Anh & Trung, 2006). Abdulai and CroleRees (2001) maintained that income diversification  is the allocation of productive resources among different  income generating activities, both on-farm and off-farm. Some researchers asserted that income diversification involves adding income-generating activities including livestock, crop, non-farm and off-farm activities  (Barrett,  Bezuneh  & Aboud, 2000; Barrett et al.,  2001a; Kydd, 2002; Reardon, Berdegue, Barrett & Stamoulis, 2006). Income diversification among rural farmers is geared towards  improving  their  household  livelihood  (Dixon,  Gulliver  &  Gibbon,  2001).  More comprehensively,  Minot et al.  (2006)  stated  that income  diversification  has been used  to describe four distinct but related concepts. One definition refers to an increase in the number of sources of income  or the balance among the different sources (Joshi, Gulati, Birthal & Twari, 2003; Ersado, 2003; Ijaiya et al., 2010). A second definition concerns the switch from subsistence food production to commercial agriculture. This also implies an increasing mix of income  activities  on  the  farm.  Third,  income  diversification  is  often  used  to  describe expansion   in   the   importance   of   non-crop   or   non-farm   income.   Fourthly,   income diversification can be defined as the process of switching from low-value crop production to

higher-value  crops, livestock and non-farm  activities (Ibrahim & Onuk, 2009).  High-value crops are defined as crops that generate high economic returns per unit of labour or land.

The literature on income diversification varies in its use of terms such as “on-farm”, “non-farm” and “off-farm” (Barrett et al. 2000b). Terms like off-farm and non-farm incomes have  been  used  at  first  glance  in  a  synonymous  way  with  slightly  different  definitions (Schwarze & Zeller, 2005). Barrett et al. (2000c) pointed out that the terms “off-farm”, “non- farm” and “non-agricultural”  are used in seemingly synonymous ways but actually refer to very different  settings  under  which  activities  take  place.  Kim  (2011)  affirmed  that  farm diversification refer to farm activities and off-farm diversification refers to seeking business or employment opportunities other than traditional crop production and livestock rearing and it  relates  to  agriculture  as  it   includes  processing  and  trading  of  agricultural  produce. According to Reardon et al. (2000) and Escobal (2001), nonfarm diversification includes off- farm wage labour and  nonfarm self-employment.  Barrett et al. (2000b) and Ellis (2000a) stated  that  “farm/nonfarm”  distinction  revolves  around  sectoral  classifications  (primary, secondary  and  tertiary  sectors);  where  farm  activities  are  associated  with  primary  sector production  while  nonfarm  activities  are  associated  with  secondary  and   tertiary  sector production. “On-farm/off-farm” distinction reflects the spatial distribution of activities, with off-farm income generated away from one’s own farm.

According to Enete and Uguru (2012), agriculture in the developing world  remains one of the most vulnerable  sectors as a result of climate change. Changes in  precipitation patterns and rises in extreme weather events increase the likelihood of production failures and overall production declines.  Income  diversification  is often  necessary in agriculture-based peasant economies because of risks such as variability in soil quality, crop diseases, animal diseases, price shock, unpredictable rainfall and other weather-related events (Ibrahim et al.,

2009). Kwadwo and Samson (2012) reiterated that climate change could substantially reduce yields from rainfed  agriculture in some countries.  Therefore, diverse  agricultural  activities which are able to combat these problems in Nigeria have been sought after. The farm and non-farm sectors have been changing in structure through diversification of activities on one hand and through increasing employment and income generation on the other (Pal & Biswas,

2011). Whether the two sectors are complementary or substitutable in the context of overall economic development is an issue attracting the interest of recent researches.

Diversification  has been analysed  as a rational  response  by households  to lack  of opportunities for specialisation, though was initially considered not the most desirable option (Warren, 2002). Ellis and Freeman (2005) indicated that rather than promoting specialisation within existing portfolios, upgrading them through diversification could be more realistic and relevant to sustain agriculture. But Kimenju and Tschirley (2011) argued that to achieve rapid growth in rural areas and the economy as a whole, it is widely recognized that countries must go  through  an  agricultural  transformation,  which  involves  more  specialization  by  rural households, not more diversification.

Resolving  this  tension  between  the  clear  benefits  from  diversification  to   rural households  in  the  short-  and  medium-term   is  a  major  policy  challenge  to   Nigerian government (Olugbire, Falusi, Adeoti, Oyekale & Adeniran, 2011). Diversification is being advocated in many parts of rural Nigeria today to ensure food security. Hence, the need to investigate into the income diversification decisions among rural households.

1.2      Statement of the Problem

Nigeria’s  agricultural  sector  has  a  high  potential  for  increased  growth,  but  this potential is not being fully realised. Agriculture still suffers from a wide range of distortions and influences that limit its contribution to food sustainability. Nigeria  Bureau of Statistics (2013) maintained that agriculture is the largest sector of the economy, yet the fastest growing segments are wholesale,  retail trade and telecommunication.  Income instability has  been a major challenge to the rural farming households and this has adversely affected agricultural productivity. Hence, there is need for a coherent action at all levels of farming activities of the farm households in order to stabilise her reportedly very volatile income.

Most Nigerian studies on income diversification focused on non-farm diversification (to mention a few: Okali, Okpara & Olawoye, 2001; Babatunde & Qaim, 2009; Ibrahim & Onuk,  2009;  Ibekwe  et al.,  2010;  Ijaiya  et  al.,  2010;  Idowu,  Banwo  & Akerele,  2011; Adebayo et al., 2012; Tasie, Offor & Wilcox, 2012). On the other hand, few studies within the past ten years have been carried out on income diversification with respect to farm and farm-related  activities  only.  These  studies  highlighted  farming  as an occupation  of  rural farmers but very few considered the factors driving the farmers’ decisions to diversify income among various farming activities. Again, income diversification has received minute attention in agricultural economics and extension literatures in Nigeria (examples: Enete & Achike,

2008; Babatunde & Qaim, 2009; Ibrahim, Rahman, Envulus & Oyewole, 2009; Ibrahim  & Onuk, 2009; Idowu, Aihonsu, Olubanjo & Shittu, 2011; Adebayo et al., 2012; Adepoju & Oyewole, 2014). The existing literature is somewhat deficient in well-established  principles on the use of indicators to capture observed rural income diversification (Ijaiya et al., 2009).

Perhaps, farm households that have more assets should be less risk averse and  more willing to participate in market production, while farm households with fewer assets are more likely to settle for subsistence production in a desire to avoid high transaction costs in selling crops and buying food (Olale & Nazli, 2010). The researcher’s interest here is whether the decisions they take is in the best pursuit of improving the general economy and rural economy in particular.  Understanding  the decisions of farming  households  with regard to how they allocate their income among various farming  activities is crucial for adjusting farming and rural  policies.  Babatunde  and  Qaim  (2009)  affirmed  that  more  research  is  needed  to understand  what conditions lead to  what outcomes  in order to identify appropriate  policy responses. Hence, the gap this study seeks to fill is to highlight the key factors driving rural farm households in their decisions to diversify income among alternative farming activities (on-farm diversification). This constitutes the problem of the study.

1.3      Objectives of the Study

The broad  objective  of the  study was  to  examine  the on-farm  income  diversification decisions of rural farm households in Enugu State. The specific objectives were to:

i.   describe the socio-economic characteristics of rural farmers in the study area. ii.  identify the various sources of on-farm income of the rural households.

iii. determine the factors influencing the choice of income sources.

iv.  determine the level of gender participation in income diversification decision making. v.   examine the constraints in raising income from the various sources of farm income.

1.4      Hypothesis of the Study

Based on the specific objectives of the study, the following hypothesis was tested:

Ho:   Socioeconomic characteristics of farmers have no significant effect on their choice  of income sources.

1.5      Justification of the Study

The study of on-farm income diversification decisions in an agricultural state such as Enugu  state is important for several reasons. Firstly, Enugu  state is an agrarian  state  with majority of its population engages in agriculture to earn a living (Egboke, 2004). Secondly, diversification choices are supposed to reflect optimal strategies followed by farm households in order to balance their expected returns with the related risk exposure they face. Démurger et al. (2010) foretold that since all diversification  strategies may not be equally lucrative, understanding  both  the  incentives  and  the  constraints  that  rural  households  face  in their decision between alternative  options can  offer important insights as to what policy might effectively improve the rural poor access to higher return activities. Thirdly, diversification

choices  reflect  the allocation  of household  assets  and  the allocation  of household  labour resources across various activities.

In  this  rationale,  this  study  has  provided  interesting  and  useful  information  for individual  farmers,  government,  non-governmental  organisations  (NGOs)  and  agro-based industries. This study has contributed to literature by highlighting a variety of channels for diversification decisions. Farmers will be able to determine if they will gain or lose out in the process of diversification and understand how to manage diversification alternatives properly. It is also hoped that the findings of this study would be considered by the various teams of experts and consultants now assisting African countries to reach a higher path of economic growth through agriculture-led  development for rural population under the Comprehensive African Agriculture Development Programme (CAADP) agenda.

1.6 Limitations of the Study

During  the course  of the study,  there  were challenges  which  ranged  from  dialect barrier, unwillingness of some rural farmers to fill the questionnaire or to be interviewed, low record  keeping  and  financial  constraints.  The  validity  of  the  information  given  largely depended on the perception of the respondents on the issues raised in the questionnaire which influenced the quality of the information obtained from the farmers.

Through the help of research assistants, the researcher was able to collect  sufficient information required to achieve the objectives of the study. However, extra efforts were made by the researcher to cross-check responses and discard the invalid questionnaire.



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