NOTE: gender and climate change adaptation decisions among farm households in Southwest Nigeria is a well researched topic for final year students and undergraduates, it can be used as a guide or framework for your Academic Research, Project Topics, Coursework, Seminar Topics, Research Papers, Research Topics, Thesis & Dissertation Topic.
This study investigated gender and climate change adaptation decisions among farm households in Southwest Nigeria. In carrying out the study, five specific objectives and five hypotheses were developed to guide the study.
Multi-stage random sampling techniques were employed in selecting the 348 farm units for the study. Data for the study were obtained from primary source using structured questionnaire.
Data collected were analysed using descriptive and inferential statistics such as multinomial logit (MNL) model, vulnerability analysis, Heckman’s double stage selection model, factor analysis, t-test and analysis of variance (ANOVA).
Based on the data analyzed, the study found that majority (76%) of the farmers were males while 24% were females.
The average year of education of the farmers was 7 years with an average household size about 8 persons. The average year of farming experience of the farmers was 36 years.
The result on source of awareness of the farmers indicated that, greater percentage (79%) of the farmers were aware of climate change through personal observation, followed by 63% of the farmers that that indicated awareness through extension agents.
The study identified 13 effects of climate change of agricultural production with mean values that ranged from 2.51 to 3.58 on a 4-point rating scale.
Using household adaptive capacity approach, female headed farming households in southwest Nigeria were more vulnerable to effects of climate change with higher vulnerability index of 0.73 as against male headed households with vulnerability index of 0.43.
The result of Heckman’s double stage selection model with rho 0.61561, Wald2χ= 743.72 and p≤0.0000 showed strong explanatory power of the model.
The mean comparison of gender contribution to climate change adaptation decision in crop production activities showed that men had higher mean contribution of 3.42 than women with mean contribution of 2.67. On gender contribution to climate change adaptation decision making in livestock production, women had higher mean contribution of 3.55 against men with mean contribution of 3.27.
The result of the parameter estimates from the multinomial logit (MNL) model was significant as indicated by χ2 statistics are highly significant at (p<0.0000). The explanatory power of the factors as reflected by Pseudo R2 was high (69%). The factors that militate against women contributions to climate change adaptation decision as revealed by the result of varimax-rotated principal component factor analysis include: socio-infrastructural, financial/cultural, technological and institutional factors.
The findings on analysis of variance (ANOVA) showed that there was no significant (p≤0.05) difference in the mean ratings of farmers from Ekiti, Ogun and Oyo states on the intensity of the effects of climate change across the local ecological zones. The result of the t-test statistics showed a significant (p≤0.05) difference in vulnerabilities of male and female headed households to the effects of climate change in southwest Nigeria.
Based on the above findings, the study inter alia recommended that government should formulate specific policies providing increased women on, land and off-farm activities to alleviate the gender disparity in contribution to climate adaptation decision.
1.1 Background of the Study
Climate change is a global phenomenon undermining the achievement of the Millennium
Development Goals (MDGs) and efforts to reduce extreme poverty. According to
Intergovernmental Panel on Climate Change (IPCC) (2007), climate change is a change in the
state of the climate that can be identified by using statistical tests, by change in the mean and the
variability of climatic properties that persist for an extended period typically decades or longer.
United Nations Framework Convention on Climate Change (UNFCCC) (1992) described it as a
change which is attributed directly or indirectly to human activities that alter the composition of
the global atmosphere in addition to natural climate variability observed over comparable time
periods. Climate change has become more threatening not only to sustainable environmental
quality but also as a major challenge to the fight against hunger, malnutrition, diseases and
poverty in Africa through its impact on agricultural production. Until recently, government and
non-governmental institutions, donors and other actors in natural resource use in developing
countries seldom considered the risks and uncertainties associated with climate change in their
development planning. Hence, Mendelsohn, Dinar and Dalfelt (2000) stated that many countries
in tropical and sub-tropical regions are expected to be more vulnerable to warming and other
devastating effects of climate change.
The vulnerability of African farmers to the effects of climate change is expected to be
most severe in Nigeria (Ayinde, Ajewole, Ogunlade and Adewunmi, 2010), where funding to
agricultural research has been comparatively low (Nigerian House Committee on Agriculture,
2005), the current spread of agricultural information and training are poorest (Enete and Amusa,
2011), technological changes have been the slowest (Action Aid International, 2008), and where
domestic economies depend heavily on rain-fed agriculture (Apata, 2008). The threats of climate
change cut across all the sub-sectors of Nigerian agriculture such as livestock, crop production,
agroforestry, fishery, agricultural products processing and so on. For instance, Valtorta (2009)
noted that climate change affects animal production in four ways: (a) the impact of changes in livestock feed-grain availability and price; (b) impacts on livestock pastures and forage crop
production and quality; (c) changes in the distribution of livestock diseases and pests; and (d) the
direct effects of weather and extreme events on animal health, growth and reproduction. Crop
production is also significantly affected by the changes in climate and atmospheric
carbondioxide (CO2) (Rosenzweig and Hillel, 1998). The changes in temperature and
precipitation might further alter both arable and forest crop yields, water and nutrient budgets in
the field thereby subjecting crops to stress (Tubiello, Rosenzweig, Goldberg, Jagtab and Jones,
2002). In addition, Khanal (2009) noted that heat stress might affect the whole physiological
development, maturation and finally yield of cultivated crops. On the damages to aquatic lives,
climate change will likely affect the metabolism, growth and distribution of many aquatic
organisms as well influence diseases that afflict them. For agricultural processing, Canadian
Grain Commission (2009) reported that the heat effect of climate change on processed
agricultural products causes the growth and development of spoilage molds which affect
products in storage by causing adverse quality changes, heat-damage, dull appearance, musty
odours, visible moulds, production of toxins and allergens. This situation is worst in sub-saharan
African countries; Nigeria inclusive.
Nigeria for instance, and other developing countries are already experiencing low crop
yields and altered animal compositions as a result of extreme weather and climate change.
Recent studies have also shown that there has been precipitation decrease in the humid regions of
West Africa, including parts of southern Nigeria since the beginning of the century (Adebayo,
Dauda, Rikko, George, Fashola, Atungwu, Iposu, Shobowale and Osuntade, 2011). This is
evidenced by the late arrival of rains, drying up of streams and small rivers that usually flow year
round. The seasonal shifting of rain and that of the fruiting period in Oyo State and the gradual
disappearance of flood-recession cropping in riverine areas of Ondo State are among the effects
of climate change in communities in the southwest Nigeria (Adebayo, et al, 2011). In addressing
this global threat, Tubiello and Rosenzweig (2008) stated that a wide range of adaptations exist within farming system to help maintain or increase crop and livestock yields under climate
Climate change adaptation methods according to Nyong, Adesina and Osman-Elasha
(2007) are those strategies that enable the individual or the community to cope with or adjust to
the impacts of the change in climate. Climate change adaptation as described by IPCC (2001) is
an adjustment in natural or human systems in response to actual or expected climatic stimuli or
their effects, which moderates harm or explores beneficial opportunities. In agriculture,
adaptation helps farmers achieve their food, income and livelihood security objectives in the face
of changing climatic and socio-economic conditions including climatic variability, extreme
weather conditions such as droughts, floods and volatile short term changes in local and large-
scale markets (Kandlinkar and Risbey, 2000). Adaptation practices are mostly at farm household
level to combat climate change while mitigation implies implementation of policies to reduce
Green House Gases (GHGs) emission and enhance sinking (FAO, 2008).
Such adaptation strategies for crop production among farmers in southern Nigeria include
the adoption of efficient environmental resources management practices such as the planting of
early maturing crops, mulching, small scale irrigation, adoption of hardy varieties of crops, tree
planting, early planting, fadama and staking to avoid heat burns (Adebayo, et al, 2011 and
Nyong, et al, 2007). Adaptation strategies that are employed by farmers for livestock rearing
include the use of emergency fodder in times of droughts, multi-species composition of herds to
survive climate extremes, culling of old livestock, de-stocking to reduce population and climatic
inducing heat stress, expand rain harvest, shading, supplementary feeding, dip and dose, fence
camp and provision of more opportunity for livestock for water among others (Oba, 1997;
Nyong, et al, 2007 and Adesina, et al, 2008).
Adaptation and mitigation to climatic change in agriculture range from technological
solutions to adjustments in farm management or structures and to political changes such as
adaptation plans (Brussel, 2009). These measures are categorized into (i) technological
development, (ii) government programmes and insurance, (iii) farm production practices, and (iv) farm financial management. The first two categories are principally the responsibility of
public agencies and agri-business; and adaptation here could be thought of as system-wide or
macro scale. The last two categories of adaptation are the responsibilities of farmers at farm
household level. The report of WEDO (2008) showed that, in the context of climate change
adaptation practices among farmers, gender perspective is vital for effective policies.
The term “gender” refers to socially ascribed roles, responsibilities and opportunities
associated with women and men, as well as the hidden power structures that govern relationships
between them (UNDP, 2010). Gender issues focus not only on women but on the relationship
among men, women and children and their roles, access to and control over resources and
division of labour in meeting household needs (Barker, 2002). Gender in the context of this study
relates to contributions of male and female farmers to decision making in climate change
adaptation activities in crop and livestock production. Gender relation in agriculture is important
for it determines household security, household well-being and many other aspects of life (Rota,
Sperandini and Hartl, 2010) such as allocation of household resources through decision making.
Risbey, Kandlikar and Dowlatabadi (1999) stated that the responses of farmers to cope with the
associated challenges of climate change in food production result from their farming decisions.
Farm decision making according to Ilbery (1985) is an on-going process whereby farmers
are continually making short and long-term decisions to manage risks emanating from variety of
climatic and non-climatic sources. In addition, Smith and Skinner (2002) observed that
adaptation to climate change is the result of individual farmer’s decisions influenced by climatic
forces internal to the farm households and external forces that affect the agricultural system at
large. Farming decision making is therefore a mental and intelligent process in which farmers
use information available about farm resources to select and combine those farm resources they
consider best for addressing their farming challenges and achieving farming objectives. Farmers
constantly face such challenges as tragic crop failures, reduced agricultural productivity,
increased hunger, malnutrition and diseases (Zoellick, 2009) which are mostly as a result of
changes in climatic conditions. Climatic and agricultural challenges have placed many farmers in the position of making critical decisions about farming, financial security and well-being that has
long term consequences. These farmers have developed intricate systems of gathering,
prediction, interpretation and decision-making in relation to weather. To a very great extent,
these systems of climate forecasts have been very helpful to the farmers in managing their
Farmers are known to make decisions on cropping patterns based on local predictions of
climate, and decisions on planting dates based on complex cultural models of weather (Nyong, et
al, 2007). Farmers’ awareness and ability to cope with changes in climate attributes (temperature
and precipitation) are important to adaptation decision making (Maddison, 2006). It is well
documented in the literature that gendered divisions of labour and decision-making power may
affect the farm households’ ability to respond to the effects of climate change (WEDO 2008;
Parikh, 2007; UNFCCC 2007, Commission on the Status of Women, 2008; BRIDGE, 2008). It is
based on this background that this study therefore investigated issues surrounding gender,
climate change adaptation and farming decisions using farm households in Southwest Nigeria as