scholarly journals Urbanization and its Impact on Production Diversity and Income of Farm Households: An Economic Analysis Across Rural-Urban Interface of Bengaluru

2020 ◽  
Vol 65 (4) ◽  
Author(s):  
Udaykumar, M.S
Keyword(s):  
Farm Households ◽  
Farm Income ◽  
Food Crops ◽  
Percentage Increase ◽  
Crop Diversification ◽  
Urban Gradient ◽  
Fruit Crops ◽  
Rural Farmers ◽  
Rural Transition ◽  
Production Diversity

The study was conducted in North of Bengaluru with an aim to analyze effect of urbanization on production diversity, farm income and factors influencing the same across the rural-urban interface. The required data was collected randomly from 80 farmers each under rural, transition and urban gradients. Multiple linear regression was used to determine the drivers of farm income. Herfindahl index was employed to capture the extent of production diversification. Results revealed that the rural farmers diversified from food crops to vegetable and flower crops over the years. Whereas, farmers of transition and urban gradients chose to grow high value horticulture crops instead of food crops. During 2019, the extent of diversification was more in transition (0.21) and rural (0.25) gradients compared to urban (0.29) gradient. In rural gradients, the major share of farm income was from cereals (31.79 %) followed by vegetables (28.65 %) and perennials (17.88 %) in 2014 but the major share was replaced by vegetables (28.69 %) and flower crops (19.98) in 2019. In transition and urban gradients, the major source of farm income was from vegetables in 2014 which was later substituted by fruit crops in 2019. Over the period of five years, the percentage increase in average farm income of households was highest in urban gradient (143.07 %) followed by rural (140.15 %) and transition (110.50 %) gradients. Land holding size, education, borrowed capital and investment in farming emerged as the principal determinants of farm income. As a whole, the study concludes that, urbanization led investment on high value crops through crop diversification which played a significant role in augmenting the farm income.

scholarly journals Investment and Crop Diversity: An Empirical Evidence from Rural-Urban Interface of Bengaluru

2020 ◽  
pp. 1-10
Author(s):  
M. S. Udaykumar ◽  
K. B. Umesh
Keyword(s):  
Water Resource ◽  
Animal Husbandry ◽  
Farm Income ◽  
Family Farm ◽  
Crop Diversification ◽  
Vegetable Crops ◽  
Fruit Crops ◽  
Tobit Regression ◽  
Investment Pattern ◽  
Rural Transition

The study was undertaken in North of Bengaluru to analyse the investment pattern, crop diversification and farm household’s income across rural-urban interface. The required data was collected from randomly selected 80 farmers each under rural, transition and urban gradients. Tobit regression was used to determine the drivers of investment and Herfindahl index was used to capture the extent of crop diversification across rural urban interface. The per farm investment was relatively higher on water resource and irrigation structure across all the gradients. Around 56, 51 and 45 percent of farmers have invested on water resource and irrigation structures in transition, urban and rural gradient, respectively followed by animal husbandry (40% in rural gradient) and plantation and horticulture (25% in transition and urban gradients). There has been an investment led crop diversification from food crops to vegetables, flower and fruit crops in rural gradient between 2014 and 2019. Whereas, in transition and urban gradients, diversification was from food and vegetable crops to high value fruit crops during the same period. During 2019, the extent of diversification was more in transition (0.21) and rural (0.25) gradients compared to urban (0.29) gradient. Age of head of family, farm income and borrowed capital were the chief drivers which significantly affected the investment in agriculture. The study concludes that, investment led high value crops cultivation and crop diversification played significant role in augmenting the farm income leading to improvement in farmer’s welfare assuring food and livelihood security.

scholarly journals Analyzing the Contribution of Crop Diversification in Improving Household Nutrition Security Among Wheat-dominated Rural Households in Sinana District, Bale Zone, Oromia Regional State, Ethiopia.

2021 ◽  
Author(s):  
Dereje Derso ◽  
Degefa Tolossa ◽  
Abrham Seyoum
Keyword(s):  
Logistic Regression ◽  
Parental Education ◽  
Dietary Diversity ◽  
Household Head ◽  
Farm Households ◽  
Farm Income ◽  
Crop Diversification ◽  
Multivariate Logistic Regression ◽  
Nutrition Security ◽  
Regional State

Abstract The long-term impact of malnutrition on people’s lives, most notably in health, education, and productivity, highly affects the human capital. Agriculture directly contributes to nutrition security by enabling farm households to access micronutrient food by using their farm income. This study was intended to assess effect of crop diversification on household nutrition security and explores determinants of under-five child malnutrition among rural farm households of Sinana Woreda, Oromia regional state. Multi-stage sampling followed by a systematic random sampling technique was used to include study subjects. Structured questionnaire, focus group discussions (FGDs) and key informant interview was used to collect data. Anthropometric measurements were collected and converted into Z-scores by WHO Anthro version 3.2.2., 2011 software. Then exported to STATA and analyzed using descriptive statistics and inferential statistics. Pearson Correlation coefficients was calculated to see the correlation of the nutrition security status indicators and crop diversification index. Bivariate and multivariate logistic regression was carried out to identify factors associated with child nutrition. The result revealed that the prevalence of malnutrition particularly, stunting was (23.81%), underweight (21.16%) and wasting (9.52%), respectively. The correlation coefficient indicates that crop diversification is negatively correlated with stunting and wasting and positively correlated with underweight and child dietary diversity score. Multivariate logistic regression model indicate that child nutritional status is strongly associated with age of household head, maternal and parental education, farm land size, TLU, availability of potable water, child sex, child dietary diversity, household access to toilet, total annual income, and household access to health services. In conclusion, policy and development interventions should target intensive agricultural production, development of rural infrastructure, education and awareness creation tools to provide households up to date nutritional knowledge and agricultural technologies to increase production and income, and thereby enhance household nutrition security.

scholarly journals ANALISIS PENDAPATAN DAN KETAHANAN RUMAH TANGGA TANI (Studi Kasus: Desa Sei Buluh Kec. Teluk Mengkudu Kab. Serdang Bedagai)

JURNAL AGRICA ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 44
Author(s):  
Faoeza Hafiz Saragih, M.Sc ◽  
Khairul Saleh
Keyword(s):  
Food Security ◽  
Linear Regression ◽  
National Development ◽  
Farm Households ◽  
Farm Income ◽  
Food Crops ◽  
Two Stage ◽  
Food Expenditure ◽  
North Sumatra ◽  
Instant Noodles

<p><em>One of the aim national development is the improvement of food security where Sei Buluh village, Teluk Mengkudu district North Sumatra recommended as Agro Technopark area based on food crops. The aim of this study was to determine factors that affected the income and food security of farm households. The method used Two Stage Linear regression Square (2SLS). The results show that factors that affected farm income were the price of seed and land, meanwhile, factors that affected the share of food expenditure in the price of chicken, instant noodles prices, and farm income.</em></p>

scholarly journals Relationships and the Determinants of Sustainable Land Management Technologies in North Gojjam Sub-Basin, Upper Blue Nile, Ethiopia

2021 ◽  
Vol 13 (11) ◽  
pp. 6365
Author(s):  
Alelgn Ewunetu ◽  
Belay Simane ◽  
Ermias Teferi ◽  
Benjamin F. F. Zaitchik
Keyword(s):  
Land Management ◽  
Scale Up ◽  
Policy Issue ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Sustainable Land Management ◽  
Related Factors ◽  
Blue Nile ◽  
The North

Sustainable land management (SLM) is a leading policy issue in Ethiopia. However, the adoption and continuous use of SLM technologies remain low. This study investigates the interrelationship of adopted SLM technologies and key factors of farmers’ decisions to use SLM technologies in the North Gojjam sub-basin of the Upper Blue Nile. The study was based on the investigation of cross-sectional data obtained from 414 randomly selected rural household heads, focus group discussions, and key informant interviews. Descriptive statistics and Econometric models (i.e., Multivariate Probit and Poisson regression) were used to analyze quantitative data, while a content analysis method was used for qualitative data analysis. Results indicate that at least one type of SLM technology was implemented by 94% of farm households in the North Gojjam sub-basin. The most widely used technologies were chemical fertilizer, soil bund, and animal manure. Most of the adopted SLM technologies complement each other. Farm size, family size, male-headed household, local institutions, perception of soil erosion, livestock size, total income, and extension service increased the adoption probability of most SLM technologies. Plot fragmentation, household age, plot distance, off-farm income, market distance, and perception of good fertile soil discourage the adoption probability of most SLM technologies. To scale up SLM technologies against land degradation, it is important to consider households’ demographic characteristics, the capacity of farm households, and plot-level related factors relevant to the specific SLM technologies being promoted.

scholarly journals Efficacité Technique des Petits Producteurs du Maïs au Bénin

2018 ◽  
Vol 14 (19) ◽  
pp. 109
Author(s):  
Fawaz A. Adéchinan Aminou
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Farm Households ◽  
Farm Income ◽  
Selling Price ◽  
Stochastic Frontier Approach ◽  
Access To Credit ◽  
Seed Distribution ◽  
Production Area ◽  
Low Efficiency

This study examines how small maize farmers allocate their production inputs and identifies the elements that characterize efficient farms. A Cobb Douglas stochastic frontier approach is used to estimate farm level technical efficiency of maize farmers. Average technical efficiency of sampled farms was estimated to be 65.40% with a minimum of 20.47% and a maximum of 93.46%. The study further showed that the farmers’ sex, the use of improved seeds, the maize selling price, the non-farm income, the contact with an NGO, the access to credit and the production area played a positive and significant role in improving technical efficiency. The results imply that government can save resources used in extension services and focus on its improved seed distribution policy. Also, imperfections in the labor/capital market contribute to the low efficiency of farm households.

scholarly journals Forestland-dependent households: a primary agent of deforestation in Nigeria?

2019 ◽  
Vol 52 (1) ◽  
pp. 19-25
Author(s):  
Ayoade Matthew Adetoye
Keyword(s):  
Land Use ◽  
Sampling Technique ◽  
Household Survey ◽  
Continuous Cultivation ◽  
Quantitative Information ◽  
Farm Households ◽  
Farm Income ◽  
Probit Regression ◽  
Land Use Pattern ◽  
Primary Agent

Abstract Despite global concerns on environment particularly, issues on deforestation, there is a lack of quantitative information on deforestation drivers. The study investigates the role of farm households in deforestation process in Nigeria. Household survey data were obtained from 300 farm households with the aid of personally administered questionnaire through a multistage sampling technique. The data were used to answer a question on how farmers contribute to deforestation process in Nigeria. The data were analysed using descriptive statistics and Probit regression model. The results show that 64 % of the farmers gain access to cultivate already opened forestland through uncoordinated harvesting of forest trees while others still maintain sustainable forest land use practice – agroforestry. Sex (P < 0.05; β = 2.34), land security (P < 0.01; β = 2.94), personal preference for tree on farm land (P < 0.05; β = −2.45), and non-farm income (P < 0.05; β = 2.50) are factors influencing land use pattern among farm households. The study revealed that most farmers cultivate open forestland, but their continuous cultivation further enhanced forestland use change. The study concludes that rural farm households though one of the agents of forestland use change were found as opportunist and not mostly the primary agent initiating forestland use change in Nigeria. The study negates the conception of several past studies.

THE DETERMINANTS OF LIVELIHOOD INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA.

2021 ◽  
Vol 5 (2) ◽  
pp. 79-84
Author(s):  
M. Akinyemi ◽  
J. A. Olayinka ◽  
M. Junaidu ◽  
D. Ekpa ◽  
T. Bodaga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rural Economy ◽  
Descriptive Statistics ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Practice ◽  
African Countries ◽  
Income Diversification ◽  
Access To Credit

Rural economy in Nigeria is worst hit with the erratic and unpredictable factors that affect agricultural practice which is the main livelihood of the rural farm households. Consequently, farmers are left with the option of sourcing other means of survival to cope with the hard times due to in consistent and seasonal distribution of income which characterize small farm holders in sub-Saharan African countries. This study investigates the factor influencing the livelihood income diversification among rural farm households in Osun state, Nigeria. Multi stage sampling techniques was employed to sample120 structured and pre-tested questionnaires from 120 rural farm households. Descriptive statistics and multiple regression analysis were used to analyze the data. The results of the descriptive statistics revealed that household heads of age range 50-60 years are 38.6% and about 40.70% had primary education while 26.30% had no education. About 98.31% of the rural households engaged in farming out of which 80.57% have farm size ranging between 1-3 hacters. Logit regression analysis shows that access to credit was positively significant (P<0.05) which implies that farmers that have access to credit were more likelihood to have income diversification. Age of the farmers was negatively significant (P<0.1). It connotes that the older the farmers the lesser the likelihood to income diversification. Income equivalent of household was positively significant (P<0.1). Access to electricity was positively significant (P<0.05). This implies that access to electricity increase farmer’s likelihood to income diversification. The off-farm income analysis shows that education and farm size were respectively negative and

Can food production diversity influence farm households’ dietary diversity? An appraisal from two-dimensional food diversity measures

2017 ◽  
Vol 44 (12) ◽  
pp. 1597-1608 ◽  
Author(s):  
Dare Akerele ◽  
Adebayo Musediku Shittu
Keyword(s):  
Panel Data ◽  
Food Production ◽  
Dietary Diversity ◽  
Food Prices ◽  
Farm Households ◽  
Two Dimensional ◽  
Content Type ◽  
Farm Production ◽  
Food Diversity ◽  
Production Diversity

Purpose Emphasis on the potential roles diverse farm production systems could play in enhancing food consumption variety and nutritional well-being in rural developing countries has increased in recent times. However, there are paucities of empirical works connecting diversity in agricultural production and dietary diversity in Africa, and Nigeria in particular. The purpose of this paper is to, therefore, examine, among others, the causal link between farm production diversity and consumption of varied diets among farm households in Nigeria using a nationally representative panel data. Design/methodology/approach Unlike the simple food count measure, the authors adopt two-dimensional indices to assess food diversity, and estimated both fixed and random effects versions of panel data econometrics models with the two-dimensional indices as regressands. Findings Results show that food production system is less diverse with an average farm household consuming fairly varied foods across seasons. All the econometrics models estimated consistently established positive and statistically significant influence of farm production diversity on household dietary diversity. Higher food prices, especially rice and roots and tubers could substantially reduce dietary diversity with the negative effects likely to be more devastating for low-income farm households. The specificity of household being a net food seller had positive, although weak influence on dietary diversity. Originality/value The findings accentuate, among others, the need for strategies to promote farm production diversity, transform farm households to net-sellers of foods and enable them take advantage of food price signals to boost farm incomes as important pathway for diet quality improvement and reduction of food insecurity, malnutrition and related diseases in rural Nigeria

scholarly journals Farm production, market access and dietary diversity in Malawi

2016 ◽  
Vol 20 (2) ◽  
pp. 325-335 ◽  
Author(s):  
Stefan Koppmair ◽  
Menale Kassie ◽  
Matin Qaim
Keyword(s):  
Market Access ◽  
Dietary Diversity ◽  
Farm Households ◽  
Household Level ◽  
Individual Level ◽  
Farm Production ◽  
Recall Data ◽  
Smallholder Farm ◽  
Farm Produce ◽  
Production Diversity

AbstractObjectiveThe association between farm production diversity and dietary diversity in rural smallholder households was recently analysed. Most existing studies build on household-level dietary diversity indicators calculated from 7d food consumption recalls. Herein, this association is revisited with individual-level 24 h recall data. The robustness of the results is tested by comparing household- and individual-level estimates. The role of other factors that may influence dietary diversity, such as market access and agricultural technology, is also analysed.DesignA survey of smallholder farm households was carried out in Malawi in 2014. Dietary diversity scores are calculated from 24 h recall data. Production diversity scores are calculated from farm production data covering a period of 12 months. Individual- and household-level regression models are developed and estimated.SettingData were collected in sixteen districts of central and southern Malawi.SubjectsSmallholder farm households (n408), young children (n519) and mothers (n408).ResultsFarm production diversity is positively associated with dietary diversity. However, the estimated effects are small. Access to markets for buying food and selling farm produce and use of chemical fertilizers are shown to be more important for dietary diversity than diverse farm production. Results with household- and individual-level dietary data are very similar.ConclusionsFurther increasing production diversity may not be the most effective strategy to improve diets in smallholder farm households. Improving access to markets, productivity-enhancing inputs and technologies seems to be more promising.

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