Analysis of arable crop farmers’ awareness to causes and effects of climate change in south western Nigeria

2015 ◽  
Vol 42 (7) ◽  
pp. 614-628 ◽  
Author(s):  
Shakirat Bolatito Ibrahim ◽  
Idris Akanbi Ayinde ◽  
Aisha Olushola Arowolo
Keyword(s):  
Climate Change ◽  
Sampling Technique ◽  
Household Size ◽  
Farm Size ◽  
Primary Data ◽  
Survey Method ◽  
Tobit Regression ◽  
Content Type ◽  
Mitigation And Adaptation ◽  
Arable Crop

Purpose – The purpose of this paper is to empirically analyze the determinants of arable crop farmers’ awareness to causes and effects of climate change in south western Nigeria. Design/methodology/approach – Using primary data, 150 arable crop farmers in Ogun State were selected through a multi stage sampling technique. Survey method was used to elicit information on farmers’ socioeconomic, production characteristics, and their level of awareness to causes and effects of climate change. The data collected were analyzed using descriptive statistics, environmental awareness index (EAI), and Tobit regression analysis. Findings – Most (81.08 percent) of the arable crop farmers were males with an average household size of eight persons, farming experience of 24 years and farm size of approximately 1 ha. The computed climate change EAI showed that only 47 percent of the respondents were aware of causes of climate change, while 68 percent were aware of its effects. Results further revealed that age, income from secondary occupation (p < 0.10), marital status, household size (p < 0.05), years of farming experience, frequency of extension contact, land size in hectare, and farm revenue (p < 0.01) were the determinants of respondents awareness to causes and effects of climate change. Practical implications – The study recommended among others that, awareness should be created among arable crop farmers on climate change causes and effects for appropriate mitigation actions to be taken for improved agricultural productivity. Originality/value – The study provided new empirical evidence on the awareness level of respondents to causes and effects of climate change on their production activities and livelihood in general. Implications for policy will be to provide a public education program that will target females, the poor, the illiterate, and the people in the economically active age group among others in order to create awareness and provide information and adequate knowledge on the causes and effects of climate change for proper mitigation and adaptation options.

scholarly journals Perception and adaptation of agricultural households to climate change in the semi-arid regions of Rajasthan – a gender perspective study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geetilaxmi Mohapatra ◽  
Meera George
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Population Change ◽  
Sampling Technique ◽  
Adaptation Strategies ◽  
Primary Data ◽  
Adaptation Measures ◽  
Content Type ◽  
Agricultural Households ◽  
Semi Arid

PurposeThe study aims to analyze the gender-wise perception of the agricultural households toward climate change and the adaption measures taken by these households, especially women, to mitigate climate changes.Design/methodology/approachPurposive random sampling technique is used to collect primary data from a pilot survey conducted in two semi-arid districts of Rajasthan, India. Data mainly focused on analyzing the gender-based perception and adaptation strategies undertaken toward climate change. And descriptive statistics are used for analysis.FindingsThe study found that both the gender are aware of the climatic changes. Deforestation increased population, change in living standards, urbanization and industrialization contribute to climate changes. The women are employing limited adaptation strategies to mitigate the climatic stress compared to males.Research limitations/implicationsThis is a pilot study; hence, it has an insufficient sample size for the detailed statistical analysis. Further, it is only limited to two semi-arid districts of Rajasthan.Originality/valueThis pioneering study highlights gender-wise differences in perception and adaptation strategies undertaken in this region. The study suggests raising awareness about climate change and providing credit facilities for undertaking adaptation measures to reduce agricultural households' vulnerability, particularly enhancing women's adaptive capacity to climate change.

scholarly journals Cost-Return Analysis of Fodder Production in Selected Areas of Bangladesh

2020 ◽  
Vol 20 (1-2) ◽  
pp. 54-67
Author(s):  
S Islam ◽  
J Begum ◽  
NR Sarker ◽  
M Khatun
Keyword(s):  
Dairy Cows ◽  
Field Survey ◽  
Cattle Breed ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Survey Method ◽  
Group Discussions ◽  
Fodder Production ◽  
Production Areas

The study was conducted to determine fodder production, estimated profitability of fodder farmers and constrains to its production.In this regard, four study areas were selected from four districts viz: Dinajpur,Jessore, Kurigram andRangpur purposively considering the concentration of fodder production. A purposive sampling technique was followed for collecting primary data from the field. Two categories of sample farmerswere selected namely: i) Fodder Producer cum seller (FPS); ii) Fodder Producer cum Dairy owner (FPDO) having 1-2 dairy cows as small, 3-4 dairy cows as medium and 5 and above dairy cows as large farmer.A total of 160 fodder farmers were interviewed. Field survey method and focus group discussions were followed to collectnecessary data and information. Descriptive statistics were applied to meet the objectives and to get the desirable outputs.The study revealed that99 per cent FPS cultivatednapier (Pennisetumpur-pureum), whereas fodder producer cultivated90 per cent. The ratio of land under fodder production and farm size was 0.10 and 0.29 for producer and FPS, respectively. In case of cattle holdings, fodder farmers reared more cross-bred cattle than the local cattle. The highest numbercross-bred cattle (22.95/ farm) were reared by producer in Dinajpur district,whereas FPSreared 9.88 cattle per farm in Jessore district.The production cost of fodder for producer was estimated the highest (Tk 1,87,598/ha) in Kurigram district and the lowest (Tk 1,71,883/ha) for FPS in Kurigram district. The bio-mass yield was the highest (214.05 t/ha) for producer in Dinajpur district and the lowest was (201.45 t/ha) for FPS in kurigram district. Annual net return from fodder production was estimated the highest (Tk 2,12,272/ha) for FPS in Jessore district and the lowest (Tk 1,29,806/ha) for FPS in Kurigram district. The BCR was the highest 2.18 for FPS in Jessore district and the lowest was 1.75 for FPS in Kurigram district. Problems faced by the fodder farmers were lack of HYV fodder species, lack of knowledge, and lack of input facilities. The study suggested supply of HYV fodder, provide training on fodder cultivation and preservation, availability of more milk producing cattle breed in fodder production areas. Bangladesh J. of Livestock Res. 20(1-2): 54-67, Jan-Dec 2013

scholarly journals ANALYSIS OF MULTIDIMENSIONAL POVERTY IN RURAL ADAMAWA STATE, NIGERIA

2019 ◽  
Vol 53 (3) ◽  
Author(s):  
Amurtiya Michael ◽  
Abdu Karniliyus Tashikalma ◽  
David Chinda Maurice ◽  
Ahmadu Abubakar Tafida
Keyword(s):  
Sampling Technique ◽  
Multidimensional Poverty ◽  
Demographic Characteristics ◽  
Household Size ◽  
Farm Size ◽  
Primary Data ◽  
Cluster Sampling ◽  
Binary Logistic Regression Model ◽  
Poverty Status ◽  
Household Heads

This study assessed multidimensional poverty in rural parts of Adamawa state, Nigeria. Specifically, the study objectives were to: describe the respondents’ socio-demographic characteristics, determine their multidimensional poverty status, and identify the determinants of multidimensional poverty in the sampled communities. Multi-stage cluster sampling technique was used to collect primary data from 480 household heads selected from 16 villages across the study area. Data collected were analysed using descriptive statistics, Multidimensional Poverty Analytical Tool (MPAT), and Binary Logistic regression model. The respondents’ socio-demographic characteristics described in the study showed that the mean age was 46.3 years, while the average household size was 7 persons. The study indicated that most (86.7%) of the respondents were male, who are mostly married (91.7%), and that majority (74%) are educated. The distribution of the respondents’ multidimensional poverty status revealed that majority (61.7%) of the households were poor. The study revealed that multidimensional poverty in the study area is influenced negatively by age, marital status, and household size. Similarly, gender, educational level, livelihood activities, farm size, livestock ownership, remittance, membership of group, and access to credit positively influence multidimensional poverty. Key among the recommendations of the study is the adequate provision of basic infrastructure in the area.

scholarly journals Factors Influencing Farmer’s Choice of Adaptation Measures to Climate Change among Smallholder Arable Farmers in Kogi State, Nigeria

2019 ◽  
pp. 1-14
Author(s):  
Abah Daniel Alih ◽  
Abu, Orefi ◽  
Asogwa, Benjamin Chijoke
Keyword(s):  
Climate Change ◽  
Formal Education ◽  
Sampling Technique ◽  
Climatic Conditions ◽  
Household Size ◽  
Farm Size ◽  
Adaptation Measures ◽  
Cropping Patterns ◽  
Logit Regression ◽  
Factors Influencing

Adaptation has the potential to significantly contribute to reductions in negative impacts from changes in climatic conditions. The study investigated the factors influencing farmer's choice of adaptation measures to climate change among smallholder arable farmers in Kogi State, Nigeria. Multistage random sampling technique was used to select one hundred and sixty (160), respondents. Data collected from the study were analyzed using descriptive statistics, logit regression and constraints encounter index. The result obtained from the analyses showed that average age of smallholder arable farmers in the study area was 46 years with a majority (72.5%) being male. On the level of education of the farmer, about (18.1%) of the farmers had no formal education while majority (81.9%) had various forms of formal education. 34.4% of the respondents were within 11-20 years of farming experience with large household size 11 above member representing 45.0%. Logit regression model results reveal that major socio-economic factors of arable farmers influencing farmer's choice of various adaptation measures include age, educational status, gender, marital status, household size, farming experience, farm size, the fertility of the soil, membership of cooperative/farmers group, extension visit and access to credit. Constraints encounter index revealed that major constraint encountered include lack of information on climate change, lack of technology necessary for adaptation, lack of necessary inputs, lack of climate forecasting technology, limited knowledge on adaptation to climate issues, poor financial resource, lack of government policy on climate change, poor potential for irrigation, difficulty in shifting from cropping patterns in short duration, and lack of infrastructure. This study concludes that various socio-economic and personal attributes had strong impacts on arable farmer's choice of adapting to different adaptation measures available in the study area. Government should place priority on determining factors of adaptation and barriers to adaptation measure into climate change-related policies.

Determinants of Diversification in Relation to Farm Size and other Socio-economic Characteristics for Sustainable Hill Farming in Himachal Pradesh

2020 ◽  
pp. 418-424
Keyword(s):  
Agricultural Development ◽  
Low Cost ◽  
Insect Pest ◽  
Empirical Relationship ◽  
Sampling Technique ◽  
Price Policy ◽  
Farm Size ◽  
Primary Data ◽  
Crop Diversification ◽  
Tobit Regression

Crop diversification is an important issue for agricultural development in the Himalayan region, where an abundant amount of natural resources are available. Diversification is a frequently used risk management strategy that involves participation in more than one activity. It has the advantage of mitigating diseases problem, weeds problem, insect-pest problems and price risk as well as fluctuations in output. The present investigation was an attempt to identify the empirical relationship within a static framework, between crop diversification and selected socio-economic variables and these relationships were sensitive to different diversification measures used. The study is based on primary data collected from the selected respondents with the help of multistage random sampling technique. The acreage and gross income diversification Index i.e., index of maximum proportion (0.45, 0.58), Herfindahl index (0.30, 0.42) and entropy index (0.64, 0.52) showed that farms were diversified. For determining the effect of different factors on diversification, a censored Tobit regression model was used. The results showed that distance from the market (Km), experience (years), cropping intensity, crop yield index, literacy rate, literacy index, farm size and dependency ratio the to family size was significantly affecting the diversification index. It is the present need to motivate the farmers to diversify farming through providing facilities such as price policy, proper market and disseminating market information at the appropriate time and providing low-cost agricultural technology, etc. in order to get benefited by diversifying the farm.

Role of Finance in Resource use Efficiency and Constraints in Banana Cultivation in Uttar Pradesh

2020 ◽  
pp. 437-441
Keyword(s):  
Resource Use ◽  
Uttar Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Resource Use Efficiency ◽  
Regular Source ◽  
Block Level ◽  
Use Efficiency ◽  
Secondary Information

The study was conducted using purposive cum random sampling technique and two hundred respondents comprised of 100 each borrowers and non-borrowers were selected from two block of district including marginal, small and medium categories of farm size. Primary data were collected through personal interview technique and required secondary information was taken from the record available at district and block level. Simple tabular and functional analysis and Garrett ranking were done to draw inferences. As per the result obtained from the study, no much difference was seen between the resource use efficiency of borrower and non-borrower farms and constraints faced by borrower. Since banana is a cash crop and it needs initial costs for its establishment, and after harvesting the crop regular source of income was generated by selling of suckers (seed) plant and its fruits. It’s by-product, leaves, etc. also used for various purposes. Minute inspection of the analysis showed that finance played important role for initiating the cultivation of banana crops showed the resource use efficiency that there is no considerable difference found on sample farms of borrower and non-borrower categories. Constraints faced by majority of the farmers were mainly delay in disbursement of loan and lack of the repayment period insufficient and improper management for withdraws on KCC.

Impact of socio and demographic factors on multidimensional poverty profile of smallholder arable crop farmers – evidence from Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raheem Olatunji Aminu ◽  
Wei Si ◽  
Shakirat Bolatito Ibrahim ◽  
Aisha Olushola Arowolo ◽  
Adefunke Fadilat O. Ayinde
Keyword(s):  
Demographic Factors ◽  
Multidimensional Poverty ◽  
Household Size ◽  
Living Standard ◽  
Average Intensity ◽  
Content Type ◽  
Crop Farming ◽  
Arable Crop ◽  
The Impact ◽  
Farming Households

PurposeThis paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.Design/methodology/approachData were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.FindingsThe result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.Originality/valueThe study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.

Service quality of property managers of shopping complexes in Ibadan, Nigeria

2019 ◽  
Vol 37 (3) ◽  
pp. 310-326 ◽  
Author(s):  
Samson Oluseun Ojekalu ◽  
Olatoye Ojo ◽  
Timothy Tunde Oladokun ◽  
Sumoila Aremu Olabisi ◽  
Sunday Samuel Omoniyi
Keyword(s):  
Service Quality ◽  
Multiple Regression ◽  
Management Practice ◽  
Sampling Technique ◽  
Primary Data ◽  
Stepwise Multiple Regression ◽  
Systematic Sampling ◽  
Content Type ◽  
Five Axes

PurposeThe purpose of this paper is to assess the service quality (SQ) of property managers of shopping complexes in Ibadan with a view to improving management practice.Design/methodology/approachPrimary data were used for the study through questionnaire administration. Ibadan was stratified into five axes using existing major roads where shopping complexes were highly concentrated. From each axis, 33, 65, 48, 64 and 66 shopping complexes were identified (Oyo State Ministry of Land, Housing and Survey, 2017), and the systematic sampling technique (20 percent) was adopted to select 57 out of 276 shopping complexes and 192 (10 percent) out of 1919 occupiers of the shopping complexes in the study area. In total, 157 occupiers responded to the questionnaire, and the data were analyzed using mean ranking and stepwise multiple regression.FindingsThis study found that professionalism, tangible, assurance and empathy dimensions of SQ were rated fair, whereas reliability and responsiveness dimensions were rated poor. Also, stepwise multiple regression analysis predicted 78.5 percent overall SQ of property managers, and assurance, professionalism and empathy dimensions contributed significantly to the overall SQ. Hence, reliability and responsiveness dimensions of SQ need to be improved. It is expected that the findings of this study will help property managers to understand the role of various dimensions of SQ for enhanced property management practice.Originality/valueThe study is one of the few studies that assessed the SQ of property managers of shopping complex with a view to improving its management practice.

Entrepreneurial intentions of university students: a case-based study

2017 ◽  
Vol 11 (03) ◽  
pp. 393-413 ◽  
Author(s):  
Ramo Palalić ◽  
Veland Ramadani ◽  
Arnela Ðilović ◽  
Alina Dizdarević ◽  
Vanessa Ratten
Keyword(s):  
University Students ◽  
Quantitative Research ◽  
Business Environment ◽  
Entrepreneurial Intentions ◽  
Primary Data ◽  
Survey Method ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Entrepreneurial Experience

Purpose This study aims to examine the entrepreneurial intentions of university students at the International University of Sarajevo. For this purpose, the entrepreneurial desires and entrepreneurial orientations of the students across several demographic variables were measured. These variables included prior entrepreneurial experience, student’s gender, faculty, year of study and attitude towards more courses on entrepreneurship. Nevertheless, the research also examined how business environment influences the entrepreneurial intentions of students by considering the same set of variables. Design/methodology/approach The objectives of this paper have been achieved by using a quantitative research instrument, where the cross-sectional survey method for collecting primary data is used. In total, 173 usable responses have been collected from the beginning of April to the end of May in the academic year 2015/2016. Findings The results indicate that the greater the demotivation with the current business surrounding, the smaller the entrepreneurial intentions of the students are when the prior entrepreneurial experience, gender, year of study and attitude towards more courses on entrepreneurship are considered. The study suggests that improving the overall business surrounding and entrepreneurial education might increase the entrepreneurial intentions of the students. Originality/value This is the first paper that treats entrepreneurial intentions of University students in Bosnia and Herzegovina.

scholarly journals Income status of different fodder farmers in selected areas of Bangladesh

2020 ◽  
pp. 133-141
Author(s):  
S Islam ◽  
J Begum ◽  
NR Sarker ◽  
M Khatun
Keyword(s):  
Dairy Cows ◽  
Sampling Technique ◽  
Primary Data ◽  
Survey Method ◽  
Income Status ◽  
Fodder Production ◽  
Large Farmer ◽  
Green Fodder ◽  
The Government ◽  
Revenue Function

Producing and trading of green fodder are recognised as a profitable venture in many parts of the country, but data and information in this aspect are very scanty. The study determined the income coefficient of fodder farm households to study the fodder marketing and processing in different locations, and highlighted farmers problems related to fodder marketing and processing. In this regard, four study areas were selected from four districts viz: Dinajpur, Jessore, Kurigram and Rangpur purposively considering the concentration of fodder production and marketing. A purposive sampling technique was followed for collecting primary data from the field. In the study 3 categories of sample farmers were selected namely: i) Fodder Producer cum seller; ii) Fodder Producer cum Dairy owner having 1-2 dairy cows as small, 3-4 dairy cows as medium and 5 and above dairy cows as large farmer and iii) Fodder Middlemen. A total of 200 fodder farmers were interviewed. Field survey method and focus group discussions were followed to collect necessary data and information. Descriptive statistics and Cobb Douglas type revenue function were applied to meet the objectives and to get the desirable outputs. Functional analysis revealed that fodder sale and livestock rearing and fodder business significantly contributed to the household income of the fodder farmers and middlemen. The dairy farmers having 1-2, 3-4 and 4-5 cross-bred dairy cattle earned Tk. 1,20,227, Tk. 1,91,728 and Tk. 4,17,287, respectively, whereas local cattle earned Tk. 33, 658, Tk. 51,601 and Tk. 1,13,558, respectively from milk sell annually. It was found that fodder middlemen’s income from fodder business highest in Kurigram district and lowest in Jessore district. Fodder processing was not happened in the study areas. Main marketing channels were: (i) Producer cum seller-Dairy owner and (ii) Producer cum seller-Fodder Middlemen-Dairy owner. Fodder farmers faced various socioeconomic problems during its processing and marketing. The major problems were the lack of HYV fodder species, lack of knowledge, lack of input facilities, and lack of marketing facilities. The government should provide HYV fodder, cultivation training, preservation technique, and organized market to the fodder farmers in the study areas. Bangladesh J. of Livestock Res. 21-25: 133-141, 2018

Sign in / Sign up

Export Citation Format

Share Document