Journal Research in Peace, Gender and Development (JRPGD) Vol. 3(4) pp. 58-67, June, 2013 Available online http://www.interesjournals.org/ JRPGD Copyright © 2013 International Research Journals Full Length Research Paper Determinants of land use conflicts among farmers in southwestern Nigeria Alawode OO Department of Agricultural Economics, University of Ibadan, Nigeria E-mail: busolaferanmi@gmail.com Abstract This study assessed the frequency and the levels of land use conflicts experienced by households on different plots owned. It also examined the determinants of land use conflicts levels in Southwestern Nigeria where agricultural land use conflicts have been reported in the past. A multi-stage sampling procedure was used to select 300 farm households. The first stage was the selection of three states in Southwestern Nigeria; Oyo, Osun and Ondo where land use conflicts had been reported. The second stage was the selection of ten villages from two local governments in each state using purposive sampling (based on experience of land use conflicts). The third stage was the purposive selection of ten households who have experienced land use conflicts in each of the ten villages. Both primary and secondary data were used. Primary data were collected using a pre-tested structured questionnaire and key informant interview. Data collected were analyzed using descriptive statistics and Multinomial Logit Model. The results show that households experienced conflict at one time or the other on 80.6% of the total population of plots and there were more conflicts on plots during the period of years 2000 – 2010 (72.9%) than 1990 – 1999 (27.1%) showing an increase in the frequency of conflicts in recent years. The higher incidence of conflicts during the year 2000 – 2010 was attributed to the emergence of democratic governance that encouraged farmers to openly express their grievances. Three levels of land use conflicts were identified in the study area; farmers had plots on which there had been no experience of conflict (19.4%), past resolved conflict (61.8%), or worried about future conflict (18.8%). Land use conflict in the area is determined by the age of farmer, income from other sources, number of plots owned by farmer, size of plots owned by farmer and plot size, distance of each plot to farmer’s home stead, value of food output on each plot, and length of years of acquisition of plots. Knowing that land use conflicts disrupt agricultural production, elderly farmers with many years of experience in resolution of land use conflicts should be brought together to enhance their capacity in resolving land use conflicts among farmers in their villages. Also, farmers should be educated on the need to prevent land use conflicts, to enhance production capabilities of the households. Keywords: Land use, conflicts, determinants, southwestern Nigeria. INTRODUCTION Land resources are very important to man as they provide people with living space, raw materials for obtaining satisfaction for material needs and constitute man’s physical environment. Man depends on land for sustenance; food, clothing and shelter; housing, and manufactured goods, building sites, and recreation opportunities. Land is not only crucial for rural people who have their livelihood based in agriculture, but also a basis of wealth and power. Thus there is potential conflict where people do not have adequate access to productive land resources. Income accrues from the use of land. Land use refers to both the use to which the land can be put depending on the purpose and nature of the land; classification methodology and land cover according to defined classification systems (Daudeline, 2002). Decisions about land use involve a mix of natural resources, land ownership, political, economic, and cultural considerations. However, the use to which land is put depends on who owns or controls the land and on the pressures and incentives shaping the behavior of the owner. Land use can be classified into: urban land, agricultural land, engineering uses, recreational uses, industrial uses Alawode 59 and transportation uses (Leif, 2007). The presence of infrastructural facilities and accessible routes play a great role in influencing land use. However, Land in rural areas of Nigeria is mainly for agricultural production as the rural people depend mainly on agriculture as the source of their needs. According to USDA (2007), agricultural land use for food production is influenced by other land uses, including forest, residential, commercial, industrial, recreational, and open space. The interaction among these sometimes incompatible uses can lead to social conflict. Also, land use conflict can occur when the same land can support different uses and those with interest in the land disagree as to which use is the best. Land use conflict can occur when there is disagreement or dispute as to the use of land and/or feelings that a person’s rights or well-being or the rights of the environment are being threatened by an action or undertaking of another or the inaction of another (Quadros, 1991). Land use conflict can also result when a land use is incompatible with the views, expectations and values of the people living and working in an area. These values include: the intrinsic value of the environment; maintenance of water quality; protection of wildlife and native vegetation; the right to use and enjoy land; personal and community health; recognition and protection of indigenous and non-indigenous cultural heritage. Land is increasingly becoming a major source of conflicts in Sub-Saharan Africa, where land access had traditionally been characterized as relatively egalitarian (Yamano and Deininger, 2005). It has been shown that local land conflicts can erupt into large-scale civil strife and political movements (Fred-mensah, 1991; Andre and Platteau, 1998; Idowu, 2001; Daudelin, 2002). Some underlying factors, such as population pressure, agricultural commercialization, and urbanization, have contributed to the increasing number of land conflicts (Van Donge, 1991; Cotula et al., 2004). Due to increases in population, the scrambling for land resources to meet human needs creates conflicts among competing user groups, and often results in adverse impacts both to the land and to its living and non-living resources. Further, land degradation due to desertification, soil erosion and deforestation is accelerating at an unprecedented rate, leading to loss of productivity, increased poverty, and subsequently, conflicts on available land (USAID, 2007). In Nigeria, desert encroachment on land mass in the north may produce large-scale migration, which could create ethnic conflicts as migratory group clashes with the indigenous (settled) population over land use. For example, Idowu (2001) noted land use conflicts between crop and livestock producers in the Guinea Savannah Zone of Nigeria. The pastoralists, in an attempt to find green pasture for their livestock, pass through crop farms and their animals graze on the crops. Statement of the Research Problem Three-quarters of the world’s poor and hungry are located in rural areas (USAID, 2005). These people depend directly and indirectly on agriculture and agriculture-related activities for their food and income. As population increases, access to land resources dwindles for these rural dwellers. However, with rapid population increase and a finite land area, available land per individual shrinks continuously. Resource based conflicts, especially over rights of access to land and land use, are therefore increasing in frequency and intensity (Yamano and Deininger, 2005). Land conflicts cause serious dislocations; suspend or destroy income opportunities; create food insecurity; damage the environment, and frequently result in the loss of lives and properties. Poor households bear the heaviest burdens of land-related conflicts for the simple reason that their daily needs and livelihoods are directly tied to their property rights, that is, the use of land (Kelsey and Abdalla, 1997). The escalating resource needs in terms of land due to increases in population has become a threat to food availability as the scrambling for use of land resources generates conflicts. Although conflicts are inherent to relations within and between societies (Baranyi and Weitzner, 2006), there is increasing concern about the escalation of conflict over access, use, security, and control of land resources into violent disputes, especially armed violence that may lead to open warfare. Baranyi and Weitzner (2006) explained further that multiple and extremely complex land-related conflicts affect indigenous peoples, particularly when their identity and survival is inextricably related to their relationship with their ancestral territories. Land use conflicts can result in a variety of undesirable social, economic, environmental and cultural impacts ranging from minor to significant, short term to long term, and micro to macro in scale (Leif, 2007). These impacts can include negative effects on individuals as a consequence of stress and anxiety; breakdown in communities; additional demands on government services; increased and costly demands on rural industries, degradation of the local environment, which can have flow-on effects for communities and businesses; and loss of culture and identity within communities. In situations where there is protracted land use conflict, access to land for agricultural production is reduced thereby leading to shortage in production and availability of food. Also, where there is escalation of land use conflicts into armed conflicts or open warfare, women become widowed and children become orphaned, and many others displaced. People no longer have tenure security and this badly affects production and availability of food. 60 J. Res. Peace Gend. Dev. It has been expressed in the literature by Yamano and Deininger (2005) that farm households experience conflicts at different levels on different plots of land; households are either concerned about future conflicts, have pending or currently undergoing land use conflicts, have experienced conflicts in the past but resolved, or have experienced no conflict at all. According to Yamano and Deininger (2005), the level of conflict experienced by farm households on a plot of land determines the level of food production on that plot. The frequency and the level of conflict will determine the level of food production of a household and the community at large. In the light of the foregoing, the emanating research questions are: i. What is the frequency of land use conflicts in the study area? ii. What are the levels of land use conflicts experienced by households on different plots owned? iii. What factors affect land use conflict levels? Objectives of the Study The main objective of this study is to examine the determinants of land use conflicts in the study area. The specific objectives are to i. assess the frequency of land use conflicts; ii. analyze the levels of land use conflicts experienced by households on different plots owned; and iii. Examine the determinants of land use conflicts in the study area. The results of this study will enhance the understanding of the frequency of land use conflicts and the factors that determine the level of land use conflicts on plots owned by households at the rural level. Literature Review Land is a fundamental factor of production in the agricultural sector. It plays an essential role in increasing as well as sustaining agricultural production. The extent to which this role is performed is determined in part by methods of land acquisition and arrangements for the ownership and use of land. Rights in rural land can be acquired or transferred through inheritance, gift, purchase, loan, pledge and allocation (by family head, local chief or any land custodian). However, inheritance is the most important and common way of acquiring interest in land in Nigeria. It has been found in Ondo State of Southwestern Nigeria that farmland is acquired mainly by inheritance among the native farmers while acquisition is mainly by lease among migrant farmers (Idowu and Alawode, 2007). Despite the fact that inalienability of land through sales and allocation to strangers is an important feature of the customary tenure system, Idowu et al. (2007) found that land transactions and markets have developed within the customary tenure system which led to transfer of use rights in long term leases (about 40 years), and permanent transfer of use rights as in land sales. In agrarian societies in general, and in African rural communities in particular, sustainable use rights can be held by farmer (Quadros, 1991). What appear to the external observer as precarious rights may actually be long-term entitlements in the specific context of these societies (De Zeeuw, 1997). In customary land areas, basic use rights seem to be sufficient to induce landholders to invest. Based on these, transfer of land rights both on permanent and temporary bases can increase investment. The temporary rights transfers provide a mechanism for landholders to dispose (temporarily) of land they cannot utilize, and for immigrants, the displaced or dispossessed to take up farm production (Quan, 2000). According to Upreti (2001), conflict is a state of clashing or opposing interests. It occurs when two or more people oppose one another because of differences in their needs, wants, goals or values. Conflict is an indicator of a changing society. Rapid changes due to new technologies, commercialization of common property resources, privatization of public services, growing consumerism, and government policies, are all contributing to emergence of conflict (Upreti, 2002). Platteau (2000) explained that when land acquires a scarcity value, landholders begin to feel uncertain about the strength of their customary rights, and disputes over ownership of land, inheritance and land boundaries tend to multiply. Landholders tend to assert increasingly individualized use rights to given plots as population continues to rise, such as the right to resume cultivation of a specific plot after a period of fallow; the right to assign the plot to an heir or to a tenant; the right to prevent secondary claimants (for example, the right of pastoral herders to graze their animals on crop stubbles) from exercising their traditional prerogatives; and the right to dispose freely of the land. This increasing assertion of individualized rights gives rise to numerous conflicts which become more difficult to resolve and entail rising costs. Deininger and Castagini (2005) explained that conflicts in many parts of the developing world can be traced to disputes over land ownership and land use. Idowu (2002) explained that conflicts arise among land resources users due to lack of standards, inadequate legislation, and nonenforcement of legal (and customary) provisions where they exist as well as ignorance and/or disregard for other land users. Similarly, myopic planning of development projects that utilize agricultural and grazing lands may lead to conflicts among the major players in land resources use. Also, in a survey carried out by Idowu (2001), it was found that the root cause of all communal conflicts surveyed can be traced to the problem of types of access gained to productive opportunities in land and Alawode 61 the control of such resources. RESEARCH METHODOLOGY The study was carried out in Southwestern Nigeria which is made up of six states: Oyo, Osun, Ondo, Ogun, Ekiti and Lagos states. Southwestern Nigeria falls to the rain forest region with high relative humidity and rainfall. The study area covered three states; Osun, Oyo and Ondo States where the majority of the inhabitants are predominantly small holder farmers. Also, agricultural land use conflicts have been reported in these areas. Both primary and secondary data were collected for this study. Primary data was generated from a cross sectional data of three hundred farm households from Oyo, Osun and Ondo States of Nigeria. The field survey was carried out with a pre-tested structured questionnaire of close and open-ended questions, and key informant interview was conducted using open-ended questions based on the objectives of the study. Information sought included farmers’/land owners’ characteristics, and plot characteristics, and conflict information on the plots covered by the study. The farmers’ characteristics obtained from the collected data included age, income from other sources (non-farm income), number of plots owned by the farmers, and size of plots owned by the farmer. The plot characteristics included plot sizes in hectares, trekking distance to the plot from the homestead in km, output of food crops on the plots, type of ownership of the plots, and year of acquisition of plots in years. The population of all the plots cultivated by the farm households was used for analysis at plot level. From the pre-test, it was found that farm households in the study area mostly cultivated two or three plots. This suggested a population of plots between six hundred and nine hundred. Data was also collected on land use conflicts. Such data included years of conflicts and levels of conflict. The plot characteristics with their conflict information were analyzed to assess the frequency and the levels of land use conflicts; past resolved conflict, current conflict, concerned about future conflicts or no conflict at all. In addition to the three hundred households that were covered by the survey, information was sought from key informants such as town/village heads, farmers’ groups’ heads, and few highly respected individuals on frequency of agricultural land use conflicts. This was done using interview guide with open-ended questions. Secondary information was sought from the Local Governments concerned with the study which helped to locate the villages. Data Sources and Sampling Procedure A multi-stage sampling technique was used. From the three states, the areas where conflicts had been reported were identified. On this basis, two local governments were identified in each state making a total of six local governments. From each local government, five villages with high population of farm households and where conflicts had been reported were purposively chosen. From each village, ten farm households were also selected based on their involvement in land use conflicts. The lists of farmers that were interviewed were obtained from key informant farmers to make a hundred farm households in each state. A total of three hundred farm households that had experienced land use conflict on at least one plot were interviewed altogether. From the three hundred households, the population of plots used for the analysis was obtained. The population of plots equaled the total number of plots owned by the three hundred households. Also, two key informants from each village, making a total of sixty respondents were interviewed using an interview guide with open-ended questions to obtain information about agricultural land use conflicts among the people. Analytical Techniques The methods of analysis that were used included descriptive statistics and Multinomial Logit Model. The descriptive statistics used included grouped and ungrouped frequency distribution tables and percentages, the measures of central tendency; mean median and mode, to describe the distribution of variables. The assessment of the frequency of land use conflicts in the study area was achieved through the use of descriptive statistics. The total population of plots covered by the study equaled the addition of all the plots owned by the three hundred households that were interviewed. Data was taken on the starting years of land use conflicts and the plots were grouped into four; 1990 – 1995, 1996 to 1999, 2000 – 2005, 2006 – 2010. The number of plots in each group and their various percentages was used in assessing the frequency of land use conflicts in recent times. Plots were divided into four groups for the purpose of identifying the levels of conflict; past resolved conflict, current conflict, concerned/worried about future conflict or no conflict at all. To analyze the levels of land use conflicts experienced by households on different plots cultivated, descriptive statistics was used to process and 62 J. Res. Peace Gend. Dev. analyze the information obtained from the key informants and the responses of the other three hundred respondents that were covered by the survey. The multinomial logit model was used to estimate the factors that determine levels of land use conflict. Length of years of acquisition of plots. The variables that were found to be significant in the analysis determined the levels of land use conflict in the study area. RESULTS AND DISCUSSION Determinants of Agricultural Land Use Conflicts The normal regression models that can be used in the case of analysis of variables such as production or consumption which is an interval variable, in which each unit of measurement carries equal weight, are inappropriate when modeling involves the use of qualitative response for the dependent variable. When there is a single decision among more than two alternatives; the multinomial logit model is used. The multinomial logit model is appropriate in this analysis because of the multiple qualitative responses of the dependent variable. The dependent variable is the level of conflict on the plots covered by the study; whether the plot owner never experienced conflict on that plot, experienced conflicts that have been resolved, anticipating conflict in the future or experiencing conflict that have not been resolved at the time of this study. The Multinomial Logit Model Following the analysis of Yamano and Deininger (2005), the experience of conflicts by the households on their plots was categorized into four; concerned about future conflicts, current conflicts, and resolved past conflicts or no conflict at all. The following was estimated using the Multinomial Logit (MNL) model at the plot level. The model is specified as: Prob (ci) = f (Ti, Pi,), Where Ci = 0 if there has been no conflict on the plot i Ci = 1 if plot i had a conflict that has been resolved, Ci = 2 if the household is worried about the future conflicts over plots i, Ci = 3 if the household i has current (on-going) conflicts over plots i, and Ti is a set of land Owner’s variables of plot i Pi is a set of plot characteristics Farmers’/Landowners’ characteristics include: Age of farmer measured in years Income of farmer from other sources in N Number of plots owned by farmer Plot characteristics include: Plot size in hectares Distance of each plot to farmer’s homestead in km Food output on each plot (calculated in N); and Assessment of the Frequency of Land Use Conflict in Southwestern Nigeria From the responses of the farmers on the starting years of conflicts on their plots, it was found that the report of conflicts on plots was between 1990 and 2010. The plots were then grouped into four to determine the frequency of land use conflicts in more recent years. The starting years of conflicts on plots were obtained from the respondents and presented in Table 1. From the results, all the plots on which conflicts were recorded in the area, started in recent years; 1990 to 2010 with more conflicts on plots in 2000 – 2010 (72.9%) than 1991 – 2000 (27.1%). It could therefore be stated that there were more land use conflicts in recent years. Conflicts over plots were highest (40.0%) in 2000 – 2005 (40.0%). This was the period when democracy was just beginning to thrive in Nigeria after the long years of military rule and people, including farmers regained their freedom of expression. Farmers, at this time could really express their claim over their farm plots. They could also make the Fulani herdsmen pay fines if their animals destroy crops on the farm plots. This was followed by 32.9% in 2006 – 2010 which showed reduced percentage of conflict on plots. Analysis of levels of land use conflicts From the analysis of the responses from the farmers, the three levels of land use conflicts were identified in the study area are presented in Table 2: No conflict: Household has no conflict on the plot in the past, no current conflict and not worried about future conflicts. Past resolved conflict: Household experienced conflict on the plot in the past but has been resolved, whether informally through the village elders, the farmers’ groups, village heads, family heads or formally through the police/courts. Worried about future conflict: The plots of land in this category was found to be those which had resolved conflicts in the past but due to the condition that there was no lasting peace on the plots after resolution, households worried about future conflicts Results show that households experienced conflicts on 61.8% of the plots in the past but the conflicts were already resolved. On the other hand, 18.8% of the plots on which resolved conflicts did not give the households Alawode 63 Table 1. Starting years of conflicts on plots Starting year 1990 – 1995 1996 – 1999 2000 – 2005 2006 – 2010 Total Osun No % 25 16.0 30 19.1 52 33.1 50 31.8 157 100.0 Oyo No 20 22 102 42 186 Ondo No % 41 17.0 20 8.3 80 33.2 100 41.5 241 100.0 % 10.8 11.8 54.8 22.6 100.0 Overall No % 86 14.7 72 12.4 234 40.0 192 32.9 584 100.0 Source: Data analysis, 2011 Table 2. Levels of Land Use Conflict Level of conflict No conflict at all Past resolved conflict Worried about future conflict Total Osun No % 51 24.5 132 84.1 25 15.9 208 100.0 Oyo No 29 145 41 215 % 13.5 78.0 22.0 100.0 Ondo No % 61 20.2 171 71.0 70 29.0 302 100.0 Overall No % 141 19.4 448 61.8 136 18.8 725 100.0 Source: Data analysis, 2011 lasting peace formed the category of plots on which households worry about future conflicts. There was no current conflict on plots in the area but there were plots on which conflicts had just been settled. This made the frequency of past resolved conflicts to be very high, that is, 61.8% of the total plots. Determinants of land Use Conflicts Socio-economic factors determining levels of land use conflict The socio-economic factors affecting levels of land use conflicts are presented in Table 3. The age distribution of the farmers shows that age range of the farmers was between 35 years and 70 years and the mean age was 55 years. The modal age group was 50 – 59 years which made up 28.3% of the total number of respondents. This could be so because many of the farmers on the farm were older people who have been on the farm for many years. This notwithstanding, the farmers who were younger, between the ages of 35 years and 49 years made up 34.4% of the total population of the respondents. The farmers, who ranged between the ages of 35 years and 59 years, 62.7%, represent the most productive age range for farming when a lot of farming experience would have been acquired by the farmers, and at the same time, they are still energetic to meet the rigours of farming as a business enterprise (Idowu, 2001). The farmers who were 70 years could even cope with farming due to many years of experience acquired in farming. They made use of hired labour to complement their own contributions to farm work. The older the farmer, the higher the possibility of having a better control over his plots which he has acquired for many years. This could reduce the possibility of conflict on such plots. Results on the distribution of income of farmers from other sources show that it ranged from N10, 000 to N150, 000. Income accrues from other sources such as off-farm occupation for the farmers who made farming a part time business. The presence of part time farmers explained the high off-farm income. Other farmers got off-farm income from sources such as income from husbands for female farmers, income from children for both male and female farmers, as well as income from other relatives. Farmers got income from these sources in addition to the income from their farm activities. A plot of land refers to the area of land planted to a particular type of crop. Therefore, farmers’ plots may be contiguous or non-contiguous. Farmers’ plots could be located in the same place or in different locations. From Table 3, the number of plots owned by the farmers ranged from 1 to 4. From the results, 61% of the farmers had 1 or 2 plots while 39% had 3 or 4 plots. Most of the farmers, 46.3% had 2 plots. The average number of plots per farmer was 2 and the median was also 2 plots. The least percentage of farmers (17.3%) had 4 plots while the highest percentage of farmers (46.3%) had 2 plots. The number of locations of farmers’ plots could have implications on the conflict status of the plots owned by 64 J. Res. Peace Gend. Dev. Table 3. Socio-economic factors determining levels of land use conflict Socio-economic factor Age 35 – 39 40 – 49 50 – 59 60-69 70 Income of farmer from other sources (x N1,000) 10 – 49 50 – 99 100 – 150 Number of plots owned by the farmer 1 2 3 4 Size of plots owned by farmer 6.00 – 9.99 10.00 – 14.99 15.00 – 19.99 20.00 – 24.99 ≥ 25.00 Frequency percentage Mean Median Mode Min. Max. 20 83 85 77 35 6.7 27.7 28.3 25.7 11.6 55 56 70 35 70 117 122 61 39.0 40.7 20.3 68,000 52,000 55,000 10,000 150,000 44 139 65 52 14.7 46.3 21.7 17.3 2 2 2 1 4 70 100 50 60 20 23.3 33.3 16.7 20.0 6.7 15.00 13.00 14.00 6.00 36.00 Source: Data analysis, 2011 farmers. When farmer’s plots are located distant to one another or in many places, the farmer might not be able to monitor his plots closely, especially when not all the plots are put under cultivation. This could lead to conflict on the farmland when others encroach on the land. Also, the Fulani herdsmen could get their cattle herds on the plots under cultivation, when there is no close monitoring due to many locations of farm plots owned by the farmer. The range of size of plots owned by farmers was 30ha with minimum farm size of 6ha and maximum of 36ha. The mean plot size was 15ha and mode was 14ha. The larger the farm size of a farmer, the higher the probability of conflict on plots, especially when the plots of land are scattered in different locations that are far apart. Not only this, large farm sizes whose boundaries are not well demarcated could be a source of conflict with other farmers who share boundaries. The smaller farm sizes belonged to female farmers and part time farmers while the larger sizes belonged to full time male farmers; 56.6% of the farmers had between 6ha and less than 15ha. Plot characteristics determining levels The plot characteristics determining the levels of land use conflicts are presented in Table 4. The total number of plots equals 725 owned by the farmers. Results show that farmers cover distances between 1km and 8km to get their plots from the homesteads. Most mean distance from homestead to plots is 3.65km while the mode is 1.75km, that is, the commonest distance to plots is less than 2km. The nearer a plot is to the homestead; the less likely it is that the plot would be involved in land use conflict because farmers visit and cultivate such plots more. Value of food crop output in naira on each plot is determined by multiplying food output by current market prices (for different food items). The plots on which food output were zero are those on which food crops were not produced at all and this constitutes 12.6% of the plots. The results show that farmers obtain a range of N700, 000 for value of food crops on the plots. The mean value of food crop output is N295, 150 with mode of N500, 000. The higher the value of crop output on a plot, the more likely the possibility of land use conflicts due to the quality of the plots. The plots covered by this study were acquired between 1969 and 2005. The greater the number of years of acquisition of a plot by migrant farmers, the lower the possibility of conflict with landowners. On the other hand, probability of conflict could increase in the cases where migrant farmers could take over land from the owners Alawode 65 Table 4. Plot characteristics determining levels of land use conflict Distance of plot to homestead (km) 1–3 4–6 7–8 Value of food crop output on each plot (x N1,000) 0 ≤ 100 101 – 200 201 – 300 301 – 400 401 – 500 501 – 600 601 – 700 Length of years of acquisition of plot < 10 10 – 19 20 – 29 30 – 39 ≥ 40 358 326 41 49.4 44.9 5.7 3.68 4.00 1.75 1 8 91 54 144 130 78 116 92 20 12.6 7.4 19.9 17.9 10.8 16.0 12.7 2.7 295.15 280 500 0 700 94 365 153 65 48 13.0 50.3 21.1 9.0 6.6 17 15 20 8 43 Source: Data Analysis, 2011 because of many years of cultivating the land. The Multinomial Logit Model (MNL) to estimate the factors that determine levels of land use conflict The analysis here was carried out at plot level. The model was specified as: Prob (ci) =f (Ti, Pi,) Where Ci = 0 if there has been no conflict on the plot i Ci = 1 if plot i had a conflict that has been resolved, Ci = 2 if the household is worried about the future conflicts over plot i, and Ti is a set of land Owner’s variables of plot i Pi is a set of plot characteristics The MNL was used to estimate the factors that determine land use conflict. The estimation was carried out at plot level with landowner’s characteristics and plot characteristics. From the results, the log likelihood ratio and the chi square value of degree of freedom 24 which equaled 849.93 and a p-value of less than 0.001 showed that the model has a good fit for the data. Estimates were obtained for different levels of conflict in the study (level 1 – past resolved conflict and level 2 – worried about future conflict). The results in Table 4 showed the estimated coefficients of the variables for different levels of conflict. When level of conflict = 0, this was the base outcome where the farmer never had any conflict experience on plots and was not expecting any conflict on the plot. When Level of conflict = 1 (past resolved conflict) and Level of conflict = 2 (worried about future conflict), the variables that were found to be significant (considering the t-values) include: • Age of farmer in years: for every unit increase in age, the log odds of conflict being resolved in the past increases by 0.72 while the log odds of being worried about future conflict increases by 0.49. The older the farmer is, the greater the likelihood of having resolved conflicts on plot and the greater the likelihood of being worried about future conflicts on plots • Income of farmer from other sources in N: for every unit increase in the income of farmer from other sources, the log odds of having resolved conflict on plots decreases by 0.000016 while the log odds of being worried about future conflict increases by 0.000047. Increase of N1 in income of farmer from other sources will decrease the likelihood of having resolved conflict but increases the likelihood being worried about future conflicts on plots. • Number of plots owned by farmer: for every unit increase in the number of plots owned by farmers, the log odds of having resolved conflict decreases by 3.06 while the log odds of being worried about future conflict increases by 3.35 • Size of plots of farmer in ha: for every unit increase in the size of plot of the farmer, the log odds of having resolved conflict increases by 0.57 while the log odds of being worried about future conflict decreases by 0.58 66 J. Res. Peace Gend. Dev. Table 5. Results of Multinomial logistic regression to estimate the factors that determine land use conflict Log likelihood Land use conflict 0 1 Age Income from other sources No of plots owned Size of plot Distance to home Food output Plot acquisition year ConsІ 2 Age Income from other sources No of plot owned Size of plot Distance to home Food output Plot acquisition Cons Level of land use conflict = 0 Level of land use conflict = 1 Level of land use conflict = 2 Coef. l (base outcome) l .7173643 .0000159 -3.060482 .5689811 .2840783 -6.95e-06 .1620979 -20.59184 Number of obs=725 LR chi2 (24)=849.93 Prob> chi2=0.0000 Pseudo R2=0.6304 Std. Err. .0895871 3.89e-06 .7134862 .1209556 .156562 1.11e-06 .0428926 2.814649 Z 8.01 -4.08 -4.29 4.70 1.81 -6.28 3.78 -7.32 .4919363 .0916634 5.37 .0000465 7.83e-06 5.94 3.348831 .6336276 5.29 -.5777607 .6336276 -6.47 1.082308 .3054014 3.54 -.0000166 2.61e-06 -6.38 -.0616433 .0542056 -1.14 -33.07188 5.3213 -6.22 No conflict experience and not worried about future conflict on plot Past resolved conflict on plot Owner worried about future conflict on plot. Source: Data Analysis, 2011 • Distance of each plot to homestead in km: the distance of each plot to homestead was found not to be significant on conflict being resolved while the log odds of being worried about future conflict increases by 1.08. The farther the plot from the homestead, the higher the likelihood of being worried about future conflicts. • Value of food output on each plot: for every unit increase in the food output of each plot, the log odds of conflict being resolved decreases by 0.0000070 and the log odds of being worried about future conflict decreases by 0.000017. • Year of acquisition of plot: for every unit increase in the year of acquisition of plot, the log odds of conflict being resolved increases by 0.16 while it was not significant on being worried about future conflict. The longer the time of acquisition of plots, the greater the likelihood that the plot has experienced conflict that has been resolved in the past (Table 5). CONCLUSION Households experienced conflict at one time or the other on 80.6% of the total population of plots and there were more conflicts on plots during the period of years 2000 – 2010 (72.9%) than 1990 – 1999 (27.1%) showing an increase in the frequency of conflicts in recent years. The higher incidence of conflicts during the year 2000 – 2010 was attributed to the emergence of democratic governance that encouraged farmers to openly express their grievances. Three levels of land use conflicts were identified in the study area; farmers had plots on which there had been no experience of conflict (19.4%), past resolved conflict (61.8%), or worried about future conflict (18.8%). Land use conflict in the area is determined by the age of farmer measured in years, income of farmer from other sources in N, number of plots owned by farmer, size of plots owned by farmer and plot size in hectares, distance of each plot to farmer’s homestead in km, value of food output on each plot in N; and length of years of acquisition of plots. The likelihood of having resolved conflicts on plots increases with age of the farmer, total size of plots owned by farmer, and number of years of acquisition of plots while it decreases with income of farmer from other sources, number of plots owned by the farmer, and the value of output obtained from plots. On the other hand, the likelihood of households being worried about future conflict increases with age of farmer, income of farmer from other sources, and the distance of each plot to homestead while it decreases with number of Alawode 67 plots owned by farmer, total size of plots of farmer and value of food output from the plot, and. The distance of the plots from homestead had no significant effect on land use conflict being resolved. Knowing that land is crucial in agricultural production and that land use conflicts disrupt agricultural production, elderly farmers that have many years of experience in land use and resolution of land use conflicts should be brought together to enhance their capacity in resolving land use conflicts among younger farmers in their villages. Also, farmers should be educated on the need to prevent land use conflicts to enhance production abilities of households. REFERENCES Andre C, Pleateau JP (1998). “Land relations under unbearable stress: Rwanda caught in the Malthusian trap, J. Econ. Behavior and Org.34 (1): 1-47. Cotula L, Toulmin C, Hesse C (2004). Land Tenure and Administration in Africa: Lessons of Experience and Emerging Issues, International Institute for Environment and Development, London. Daudeline J (2002). “Land as a source of conflict and in post-conflict settlement,” World Bank Regional Workshop on Land Issues in Africa and the Middle East, April 29-May 2, 2002, Kampala, Uganda. University of Ibadan, Nigeria De Zeeuw F (1997). Borrowing of land, security of tenure and sustainable land use in Burkina Faso, Development and Change 28(3):583 – 589. FGN (2007). “Legal Notice on Publication of the Breakdown of the National and State Provisional Totals 2006 Census”, Official Gazette No. 24, Lagos, Nigeria Fred-Mensah BK (1991). “Capturing ambiguities: communal conflict Management Alternative in Ghana, “World Development, 27(6): 951965 Idowu EO (2001): ‘Land use conflict between crop and livestock producers in the Guinea Savannah Zone of Nigeria’ Nig. J. Animal Prod. 29(2): 234-244. Idowu EO, Alawode OO (2007). “Developing an Agricultural Land Market under the Customary Tenure Systems in Nigeria”, Bowen J. Agric. 4(2): 123 – 137. Idowu EO, Alawode OO, Alimi T, Kassali R (2007). “Analysis of Agricultural Land Market in Ondo State of Nigeria”, Bowen J. Agric. 4(1): 76 – 93. Leif M (2007). Land Tenure and Conflicts – Four Crucial Dimensions, Department of Social Anthropology, University of Bergen, pp.2 Plattaeu JP (2000). ‘Does Africa Need Land Reform?’ in Toulmin, C. and Quan, J. F. (Eds). Evolving Land Rights, Policy and Tenure in Africa), DFID/IIED/NRI, London, Pp. 51 – 73. Quadros MC (1991). The land policy and legislative process in Mozambique. Paper presented at the DFID Workshop on Land Rights and Sustainable Development in sub-Saharan Africa: Lessons and Ways Forward in Land Tenure Policy. Sunningdale. UK. Feb. 16 – 19. Quan JF. (2000). Land Tenure, Economic Growth and Poverty in subSaharan Africa. In Toulmin, C. and Quan, J. F. (Eds). Evolving Land Rights, Policy and Tenure in Africa. DFID/IIED/NRI, London. Pp. 31 – 35. United States Department of Agriculture (USDA) Briefing Room (2007). Land Use, Value, and Management Economic Research Service: the Economics of Food, Farming, Natural Resources and Rural America Upreti BR (2001). Conflict Management in Natural Resources: A study of Land, Forest and Water Conflict in Nepal. Published PhD Dissertation. Wageningen: Wageningen University Upreti BR (2002). Management of Social and Natural Resources conflict in Nepal: Realities and Alternatives. Adroit Publishers, New Delhi. ISBN 81-87392-32-0, Hbk, pp. 371 USAID AGRICULTURE: Food Security, Last Updated May 16 (2005). USAID AGRICULTURE: Land Management, Last updated, February (2007). Van Donge JK (1991). “Law and order as a development issue: land conflicts and the creation of social order in Southern Malawi,” J. Dev. Stud.36 (2): 373-399. Yamano T, Deininger K (2005). “Land Conflicts in Kenya: Causes, Impacts, And Resolutions”. National Graduate Institute for Policy Studies