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 KARAKTERISTIK TINGKAT KETAHANAN PANGAN RUMAH TANGGA PETANI BERBASIS AGROEKOSISTEM LAHAN SAWAH IRIGASI DI PROVINSI BALI

2017 ◽  
Vol 11 (2) ◽  
pp. 191
Author(s):  
Suharyanto Suharyanto
Keyword(s):  
Food Security ◽  
Farm Households ◽  
Farm Size ◽  
Household Food Security ◽  
Security Level ◽  
Household Food ◽  
Food Sufficiency ◽  
Food Expenditure ◽  
Cross Classification

Household food security level essentially is the ability of households meet food sufficiency. These capabilities are greatly influenced by many complex factors, but  generally  associated  with  changes  in  behavioral  aspects  of  food  production, consumption and allocation of households resources. The purpose of this study was to analyze  the  level  of  household  food  security  based  on  low  land  rice  irrigated.  The study was conducted in three districts of rice production center in the province of Bali in 2012, i.e. Tabanan district, Gianyar and Buleleng. Data collection was conducted through interviews with 216 respondents. Household food security was measured by cross classification of the share of food expenditure and consumption of energy. The results  of  the  analysis  showed  58.33  %  of  households  have  a  lower  share  of  food expenditure  and  41.67%  household  have  higher  share  of  food  expenditure.  In aggregate  86.57%  of  farm  households  is  quite  in  consuming  energy  and  13.43% is less  in  energy  consume.  The  level  of  household  food  security  of  farmers  in  the aggregate 49.07% of the household were categorized as secure, 37.9% as vulnerable, 8.79% as insufficient, and 4.17% as insecure. There is a correlation between the level of  household food  security  with  age  of  housewife,  level  of  education,  farm  size  and household income.

scholarly journals Food security of paddy farm households based on the proportion of food expenditure and energy consumption level in Jogorogo Ngawi

2021 ◽  
Vol 905 (1) ◽  
pp. 012077
Author(s):  
A D P M Larasati ◽  
Darsono ◽  
S Marwanti
Keyword(s):  
Food Security ◽  
Energy Consumption ◽  
Sample Selection ◽  
Average Energy ◽  
Farm Households ◽  
Household Food Security ◽  
Protein Consumption ◽  
Consumption Level ◽  
Food Expenditure ◽  
Average Energy Consumption

Abstract Ngawi is the sixth paddy producer in Indonesia and certainly has an influence on the food security of paddy farm households. This study aimed to analyze the proportion of food expenditure (PFE), energy and protein consumption, the relationship between food expenditure and energy consumption, and the condition of food security. The basic method used descriptive analytic. The number of respondents based on the slovin formula was 87 households. The sample selection used stratified random sampling. The data analysis method used correlation with SPSS 22 and cross indicator between PFE and energy consumption level. The results showed that the average of PFE was 58.81%. The average energy consumption was 4,272.2 kcal/household/day with an energy consumption level of 81.93% while the average protein consumption was 122.1 grams/household/day lower than the average household RDA consumption. Food expenditure had a significant relationship to energy consumption with a correlation coefficient of 0.925 including a very strong and unidirectional relationship. The contribution of household food security conditions were 28.7% secure; 32.2% vulnerable; 10.3% less secure; 28.8% insecure.

scholarly journals Konsumsi dan tingkat subsistensi petani di Kampung Sei Berbari, Kecamatan Pusako, Kabupaten Siak Provinsi Riau

SOROT ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. 53
Author(s):  
Mardiana Mardiana ◽  
Rita Yani Iyan ◽  
Yelly Zamaya
Keyword(s):  
Linear Regression ◽  
Exchange Rates ◽  
Large Scale ◽  
Smallholder Farmers ◽  
Household Consumption ◽  
Farm Households ◽  
Dependency Ratio ◽  
Subsistence Level ◽  
Food Expenditure ◽  
Farmer Income

Artikel ini bertujuan untuk menganalisis konsumsi dan tingkat subsistensi rumah tangga petani.  Penelitian ini dilakukan di Kampung Sungai Berbari Kecamatan Pusako Kecamatan Siak Provinsi Riau.  Sampel diambil sebanyak 55 rumah tangga petani.  Sampel dikelompokkan kepada petani berlahan besar (> 2 hektar), berlahan sempit (< 2 hektar) dan penggarap (sebagian besar lahan yang dikelola milik orang lain).  Nilai tukar pendapatan petani dihitung dengan konsep nilai tukar subsisten (NTS).  Regresi liner berganda digunakan untuk mengetahui faktor yang mempengaruhi tingkat subsistensi petani.  Hasil kajian mendapati konsumsi rumah tangga petani berbanding lurus dengan luas lahan yang dimiliki.  Konsumsi pangan petani penggarap termasuk kategori rentan atau rawan pangan dan petani penggarap belum sejahtera karena persentase pengeluaran untuk pangan lebih besar dibandingkan persentase pengeluaran non-pangan. Man land ratio dan dependency ratio berpengaruh positip dan signifikan terhadap subsistensi rumah tangga petani. Petani pemilik lahan sendiri memiliki tingkat subsistensi yang lebih rendah dibanding petani yang menggarap lahan pihak lain.This article aims to analyze the consumption and subsistence level of farm households. This research was conducted in Sungai Berbari Village, Pusako District, Siak District Province of Riau. Samples were taken as many as 55 farm households. Samples were grouped with large-scale farmers (> 2 hectares), narrow land (<2 hectares) and tenants (most of the land that was managed by others). Farmer income exchange rates are calculated using the concept of subsistence exchange rates (NTS). Multiple linear regression is used to determine the factors that influence the level of subsistence of farmers. The results of the study found that household consumption of farmers is directly proportional to the area of land owned. Food consumption of smallholder farmers is categorized as vulnerable or food insecure and smallholders are not prosperous because the percentage of food expenditure is greater than the percentage of non-food expenditure. Man land ratio and dependency ratio have positive and significant influence on subsistence of farm households. Farmers owning land have lower subsistence levels compared to farmers who work on other parties' land.

scholarly journals Impact of Farm Households’ Adaptations to Climate Change on Food Security: Evidence from Different Agro-ecologies of Pakistan

2016 ◽  
Vol 55 (4I-II) ◽  
pp. 561-588 ◽  
Author(s):  
Munir Ahmad Gattoo ◽  
Ghulam Mustafa ◽  
Muhammad Iqbal
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Treatment Effects ◽  
New Technologies ◽  
Cropping Systems ◽  
Farm Households ◽  
Household Food Security ◽  
Farm Income ◽  
Household Food ◽  
The Impact

The study used data from 3298 food crop growers in Pakistan. Potential outcome treatment effects model was applied to evaluate the impact of adaptations on household food security. A household Food Security Index (FSI) was constructed applying Principle Component Analysis (PCA). Adaptation strategies employed by the farmers in response to climate change were categorised into four groups namely: changes in sowing time (C1); input intensification (C2); water and soil conservation (C3); and changes in varieties (C4). Out of 15 mutually exclusive combinations constructed for evaluation, only 7 combinations were considered for estimating the treatment effects models because of limited number of observations in other cases. Results of only two of the 7 are discussed in the paper, as the other 5 had very small number of adapters and the impact measures shown either insignificant results or had opposite signs. The first (C1234) combined all the four, while the second (C234) combined the last three strategies. The results suggest that the households which adapted to climate changes were statistically significantly more food secure as compared to those who did not adapt. The results further show that education of the male and female heads, livestock ownership, the structure of house—both bricked and having electricity facility, crops diversification, and non-farm income are among the factors, which raise the food security of farm households and their impacts are statistically significant. The variables which are significantly negatively associated with the food security levels include age of the head of household, food expenditure management, households having less than 12.5 acres of land— defined as marginal (cultivate 6.25 to 12.5 acres). Farmers of cotton-wheat, rice-wheat, and rain-fed cropping systems are found to be more food secure as compared to the farmers working in the mixed cropping systems where farm holdings are relatively small and high use of tube-well water adding to salinity of soils. It is crucial to invest in the development of agricultural technological packages, addressing issues of climate change relevant to different ecologies and farming systems; improve research-extension-farmer linkages; enhance farmers‘ access to new technologies; improve rural infrastructure; development of weather information system linking meteorological department, extension and farmers; and establishment of targeted food safety nets as well as farm subsidy programs for marginal farm households.

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 Drivers of household food availability in sub-Saharan Africa based on big data from small farms

2015 ◽  
Vol 113 (2) ◽  
pp. 458-463 ◽  
Author(s):  
Romain Frelat ◽  
Santiago Lopez-Ridaura ◽  
Ken E. Giller ◽  
Mario Herrero ◽  
Sabine Douxchamps ◽  
...  
Keyword(s):  
Food Security ◽  
Food Availability ◽  
Crop Production ◽  
Market Access ◽  
Total Sample ◽  
Sub Saharan Africa ◽  
Farm Households ◽  
Farm Income ◽  
Smallholder Farm ◽  
Sub Saharan

We calculated a simple indicator of food availability using data from 93 sites in 17 countries across contrasted agroecologies in sub-Saharan Africa (>13,000 farm households) and analyzed the drivers of variations in food availability. Crop production was the major source of energy, contributing 60% of food availability. The off-farm income contribution to food availability ranged from 12% for households without enough food available (18% of the total sample) to 27% for the 58% of households with sufficient food available. Using only three explanatory variables (household size, number of livestock, and land area), we were able to predict correctly the agricultural determined status of food availability for 72% of the households, but the relationships were strongly influenced by the degree of market access. Our analyses suggest that targeting poverty through improving market access and off-farm opportunities is a better strategy to increase food security than focusing on agricultural production and closing yield gaps. This calls for multisectoral policy harmonization, incentives, and diversification of employment sources rather than a singular focus on agricultural development. Recognizing and understanding diversity among smallholder farm households in sub-Saharan Africa is key for the design of policies that aim to improve food security.

scholarly journals FARMERS EMPOWERMENT ON FOOD SECURITY PROGRAM IN ENGGAL MAJU FARMERS GROUP ASSOCIATION OF KEBUMEN REGENCY

2021 ◽  
Vol 5 (1) ◽  
pp. 110-125
Author(s):  
Ahmad Muhtarom ◽  
Teguh Djuharyanto ◽  
Adhi Iman Sulaiman
Keyword(s):  
Regression Analysis ◽  
Food Security ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Influence Factors ◽  
National Development ◽  
Multiple Linear Regression Analysis ◽  
Farm Size ◽  
Group Association

Agriculture is a strategic sector in national development because it plays an important role infood availability and realizes food security. The Farmer's attitude is one of the determining aspects toinvolvement farmers in empowerment programs for food security. A research, aiming to describe thefarmer's attitude and analyze the farmer's attitudes and the influence factors that influence the farmer'sattitudes on the food security empowerment program. The research used mixed method, the number ofresearch respondents was 60 farmers members of the farmer's group association Enggal Maju KebumenDistrict, determined by cluster random sampling, and for qualitative data, the informants were selectedpurposively. The Farmer's attitude analyzed with descriptive analysis and the influence factors offarmers' attitude used multiple linear regression analysis. Farmer's attitude analyzed with descriptiveanalysis and the influence factors of farmer's attitude used multiple linear regression analysis. Theresult show that the farmer's attitudes in terms of cognitive, affective, and conative components towardthe objectives program were high, farmer's attitudes towards, the target, implementation, and benefits ofthe program were very highly classified. Farm size, personal experience, and the influence of the important people were a significant effect on the farmer's attitudes in food security empowermentprograms. The need to maximize the function of farmer’s groups, consistency of extension workers,agencies and heads of Gapoktan assist and guide farmers so that the sustainability of activities ismaintained 

scholarly journals Farmers Household Food Security in Subak Sembung During the Covid-19 Pandemic

2021 ◽  
Vol 9 (01) ◽  
pp. 346
Author(s):  
Ni Putu Ratih Pradnyadewi ◽  
Dwi Putra Darmawan ◽  
Gede Mekse Korri Arisena
Keyword(s):  
Food Security ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Household Food Security ◽  
Farm Income ◽  
Household Level ◽  
Household Food ◽  
The People ◽  
Food Expenditure ◽  
Food Needs

Food is a basic need for humans therefore its availability must be guaranteed. The Bali Provincial Agriculture and Food Security Service (2020) states that the proportion of food expenditure for the people of Bali Province in 2019 is 43.92% and is still classified as food resistant, but doesn’t guarantee food security at the household level. The Covid-19 pandemic has caused difficulties in fulfilling food needs because losing jobs has added to the challenge of realizing food security. This study aims at determining how the household food security of farmers seen based on the proportion of household food expenditure, level of energy consumption (TKE) and factors that affect household food security. This research was conducted in Subak Sembung with 36 farmers as sample and analyzed using descriptive methods of cross analysis and multiple linear regression analysis. The results showed that most of the farmer households were in a food vulnerable condition because there were many households with a high proportion of food expenditure (>60%). Farm income, non-farm income, food expenditure and rice prices variables have a significant effect on the farmer households food security. Improving food security conditions are expected by reducing the proportion of food expenditure in each household.    

scholarly journals KETAHANAN PANGAN RUMAH TANGGA TANI PERKOTAAN DAN PERDESAAAN KABUPATEN GUNUNGKIDUL

Agro Ekonomi ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 11
Author(s):  
Dyah Ayu Widyanitha ◽  
Suhatmini Hardyastuti ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Rural Areas ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
Least Square ◽  
Farm Households ◽  
Farm Household ◽  
Household Food ◽  
Food Expenditure

This research is conducted (1) to analyze share offarm householdfood expenditure/or the urban and rural,(2) to analyze the level of urban and rural energy farm household, (3) to analyze the level of household food securityurban and rural farm, (4) to analyze desirable dietary pattern of urban and rural farm household, (5) to understand influencingfactor of score food security farm household. The primary method for this research use descriptive analysis,sampling is done by using simple random method with 25 urban and 25 rural farm household in Gun ungkidu I. The data was analyzed by independent sample t-test and multiplier regression analysis by Ordinary Least Square (OLS).The results showed that (1) the share offarm household food expenditure in urban areas is lower than the share of food expenditure offarm households in rural areas, (2) the adequacy offarm household energy in rural areas is higherthan the farm households in urban area, (3) urban households food secure 20%, vulnerable food 40%, less food 12%, food insecurity 28%, yet rural household food secure 16%, vulnerable food 48%, less food 4%, food insecurity 32%,(4) food pattern expectations farm households in urban areas are not higher than the expectation of food patterns in rural areas, (5) factors that positively affect the food security of farm households are farm household income andlocation (urban and rural).

scholarly journals Adoption of agricultural practices with climate smart agriculture potentials and food security among farm households in northern Nigeria

2020 ◽  
Vol 5 (1) ◽  
pp. 751-760
Author(s):  
Funminiyi Peter Oyawole ◽  
Adewale Oladapo Dipeolu ◽  
Adebayo Musediku Shittu ◽  
Abiodun Elijah Obayelu ◽  
Thomas Oladeji Fabunmi
Keyword(s):  
Food Security ◽  
Agricultural Practices ◽  
Farm Households ◽  
Farm Income ◽  
Northern Nigeria ◽  
Probit Regression ◽  
Long Term Effects ◽  
Cross Sectional ◽  
Food Security Status ◽  
Smart Agriculture

AbstractDespite the conceptual promise and attractiveness of Climate Smart Agriculture (CSA) in ensuring farmers’ resilience and food security, empirical evidence of its success are observed to be scanty and mixed in terms of results, thus prompting further research. In this article, we analyzed the effect of adopting six Agricultural Practices with CSA Potentials (AP-CSAPs) on food security status using recent cross-sectional data on 238 maize farmers from Northern Nigeria. Data were analyzed using descriptive statistics and Probit regression. The results showed that 92.4% of the maize farmers were male, with a mean age and household size of 44 years and nine persons, respectively. We find that 37.0% of the farm households were food insecure, and adoption of the AP-CSAPs was generally low. However, while refuse retention and agroforestry influenced food security, the remaining four practices considered did not. In addition, we find that land fragmentation, off-farm income and age influence the likelihood of being food secure. We recommend further research on the medium- to long-term effects of AP-CSAPs and suggest that policies aimed at consolidating landholdings to promote monocropping among rural farmers be discouraged.

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