scholarly journals Participation of Rural Women in Farm and Non-Farm Activities : An Economic Analysis

2013 ◽  
Vol 20 (1-2) ◽  
pp. 245-251
Author(s):  
N Chowdhury ◽  
MHA Rashid ◽  
S Ahmed ◽  
A Sultana
Keyword(s):  
Rural Women ◽  
Household Income ◽  
Rural Economy ◽  
Support Service ◽  
High Income ◽  
Statistical Techniques ◽  
Household Decision ◽  
Total Household Income ◽  
Income Data ◽  
Women Participation

Rural women are silent workers and major contributors to rural economy. Their economic contributions are often appreciated but not widely recognized. The purpose of the study was to make the participation of rural women in farm and non-farm activities visible and their contribution in generating household income. Data were collected from a purposively-drawn sample of 60 rural households consisting of 20 low, 20 medium and 20 high income households. The obtained data were analyzed by using tabular and statistical techniques. Women of these three categories contributed to Tk. 19398, 24180 and 20917.50 which were 35.18, 25.11 and 14.20 per cent of total household income respectively. It was evident that, female participation of low and medium income households is markedly higher in non-farm activities than the high income households. The results of the study showed clear evidences of greater extent of women’s participation in farm and non-farm activities as well as in various household decision making events. The findings of the study suggest that, in order to enhance women participation in farm and non-farm activities and their contribution to household income, the quality and status of support service like input supply, credit facilities, extension and motivation, need-based training should be improved. A successful government and non-government collaborative programme can best address these issues in an integrated manner.DOI: http://dx.doi.org/10.3329/pa.v20i1-2.16878 Progress. Agric. 20(1 & 2): 245 – 251, 2009

scholarly journals Kontribusi Usahatani Tembakau terhadap Pendapatan Rumah Tangga Petani di Desa Katekan Kecamatan Ngadirejo Kabupaten Temanggung

2021 ◽  
Vol 5 (3) ◽  
pp. 819-827
Author(s):  
Tri Agustina ◽  
◽  
Siswanto Santoso ◽  
Mukson Mukson
Keyword(s):  
Household Income ◽  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
T Test ◽  
Survey Method ◽  
Farm Income ◽  
Respondent Characteristic ◽  
Total Household Income ◽  
Income Data ◽  
Planting Season

This research is motivated by the condition of Katekan Village, Ngadirejo District, Temanggung Regency, when the dry season always plant tobacco. Tobacco farming becomes the main livelihood for farmers in Katekan Village so it is necessary to know how much the contribution of tobacco farming to the household income of farmers. The purpose of this study was to determine the income and profitability of tobacco farming, to analyze the differences in income between tobacco farming and non-tobacco farming income, and to determine the value of the contribution of tobacco farming income to the total household income of farmers in Katekan Village. Survey method was used in this research. Sampling is done by simple random sampling method. The number of samples taken was 40 respondents. Respondent characteristic data were analyzed using descriptive analysis, while the calculation of tobacco farming income data was analyzed using farm analysis. Hypothesis testing is done by one sample t-test and paired sample t-test. The results showed that tobacco farming income per planting season was Rp. 16,035,123 or around Rp. 2.672.520 per month. Income outside of tobacco farming per season is IDR 7,217,509 or IDR 1,202,918 per month. The total household income of farmers per planting season is Rp. 23,252,632. Tobacco farming has a profitability value of 66.10% which means profitable. There is a difference between tobacco farming income and non-tobacco farming income. Tobacco farming contributes 69% of farmer's household income and non-tobacco farm income contributes 31%.

scholarly journals COMPARATIVE ANALYSIS OF INCOME AND POVERTY STATUS OF WOMEN IN KOKORO (CORN SNACK) PRODUCTION AND ARABLE CROPS PRODUCTION IN OGUN STATE, NIGERIA

2020 ◽  
Vol 15 (2) ◽  
pp. 1-11
Author(s):  
V. O. KOLADE ◽  
J. A. SOAGA ◽  
S. MOMOH ◽  
D. A. ADEGBITE ◽  
K. A. ELEMO
Keyword(s):  
Rural Women ◽  
Household Income ◽  
Control Group ◽  
Probability Method ◽  
Arable Crops ◽  
Ogun State ◽  
Total Household Income ◽  
Poverty Status ◽  
Average Woman ◽  
Status Of Women

The study analyzed the poverty status of women producing Kokoro (Corn snack) and women producing arable crops in Ogun State, Nigeria. A total of 208 respondents made up of 106 women producing Kokoro (Corn snack) and 102 women producing arable crops to serve as control group were selected. The respondents were selected based on non- probability method. Purposive sampling technique with Snowball method was used. Data were obtained by structured interview schedule. Data collected were analysed using FGT poverty index, costs and return and t-test statistics. The results indicated that 34.9kg of maize were processed into 128 dozens of Kokoro (Corn snack) per production run over an average of five (5) days, with six (6) production runs per month for nine months for the period of the research. The mean Kokoro (Corn snack) production cost was N42, 769.41/ respondent/ month with average revenue of N92, 253.60/ respondent/ month and net income of N49, 484.19/ respondent/ month. Income from Kokoro (Corn snack) production accounted for 53.4% of the total household income of N721,323.67 of an average woman engaged in Kokoro (Corn snack) production while farm income  accounted for 67.9% of the total household income of N418, 935.10 of an average woman producing arable crops. The study also revealed that households of Kokoro (Corn snack) producers had mean per capita household income of N282.32 per person per day which was significantly higher (p<0.01) than those of women producing arable crops, N191.29 per person per day. Thus Kokoro (Corn snack) production has the potentials to enhance income and reduce poverty among households of rural women. The study thus recommends promotion of value- adding activities, such as maize processing into Kokoro as a means of enhancing income and reduces poverty among the rural folks.      

SATUAN TIMBULAN DAN KOMPOSISI SAMPAH DOMESTIK KABUPATEN TANAH DATAR

Jurnal Dampak ◽  
2014 ◽  
Vol 11 (1) ◽  
pp. 28 ◽  
Author(s):  
Yommi Dewilda ◽  
Yeggi Darnas
Keyword(s):  
Low Income ◽  
High Income ◽  
Income Data

Penelitian ini bertujuan untuk mendapatkan data timbulan dan komposisi sampah domestik di Kabupaten Tanah Datar serta dapat membandingkan perbedaan timbulan dan komposisi sampah yang dihasilkan berdasarkan tingkat pendapatan masyarakat (High income, Medium income dan Low income). Data timbulan dan komposisi sampah diperlukan dalam perencanaan dan pengembangan sistem pengelolaan sampah. Sampling timbulan dan jumlah sampling dilakukan berdasarkan SNI 19-3964-1994. Hasil penelitian timbulan sampah domestik dalam satuan berat 0,232 kg/o/h dan dalam satuan volume 3,646 l/o/h. Berdasarkan tingkat pendapatan dalam satuan berat High Income (HI) 0,308 kg/o/h, Medium Income (MI) 0,198 kg/o/h dan Low Income (LI) 0,190 kg/o/h dalam satuan volume HI 4,269 l/o/h, MI 3,835 l/o/h dan LI 2,835 l/o/h. Timbulan sampah yang dihasilkan penduduk dengan High Incame lebih besar dibandingkan dengan penduduk dengan pendapatan Medium Income dan Low Income. Komposisi sampah domestik untuk sampah basah 75,5%; sampah plastik 16,6%; sampah kertas 5,3%; sampah tekstil 0,8%; sampah kayu 0,3%; sampah kaca 0,7%; sampah logam ferrous 0,2%; sampah logam non ferrous 0,1%; dan sampah lain-lain 0,5%.Kata kunci: sampah domestik, komposisi sampah, timbulan Sampah

scholarly journals Forest Cover Change, Households’ Livelihoods, Trade-Offs, and Constraints Associated with Plantation Forests in Poor Upland-Rural Landscapes: Evidence from North Central Vietnam

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 548 ◽  
Author(s):  
Quy Van Khuc ◽  
Tuyet-Anh T. Le ◽  
Trung H. Nguyen ◽  
Duy Nong ◽  
Bao Quang Tran ◽  
...  
Keyword(s):  
Household Income ◽  
Shifting Cultivation ◽  
Current Status ◽  
Plantation Forest ◽  
North Central ◽  
Rural Landscapes ◽  
Plantation Forests ◽  
Trade Offs ◽  
Central Vietnam ◽  
Total Household Income

Vietnam’s forests have experienced a notable transformation over the past 20 years from net deforestation to reforestation and expanding forests. Continued reforestation that aims to achieve further economic and environmental benefits remains a national priority and strategy. We explore the current status of plantation forests and highlight possible means to facilitate their expansion in the uplands of Vietnam. We employ mixed method triangulation to empirically explore plantation forests and their economic role in household livelihood, to quantify trade-offs between plantation forests and shifting cultivation, and to assess the constraints on plantation forest expansion in Nghe An province, north-central Vietnam. Results show that forest in the study area expanded by 406,000 ha (71.1%) between 1990 and 2016. Plantation forests increased by nearly 500% (from 32,000 ha to 190,000 ha), while natural forests expanded by 48.1% (from 538,000 ha to 797,000 ha). Plantation forests contributed an average of 35.1 percent of total household income in wealthier households and 27.9 percent of income in poor households. Switching from shifting cultivation to plantation forests would increase total household income and average carbon stock but decrease food provision. Total Economic Value would be higher for plantation forest scenarios if increased carbon stocks in plantations can be monetized. This carbon income might drive conversion of shifting cultivation to plantation forests. Constraints on further expansion of plantation forest are low external cooperation, education, market stability, and agroforestry extension services. Our empirical results inform national plantation forest development, sustainable upland livelihood development, and climate change mitigation programs to ultimately facilitate forest transition and improve the resilience and sustainability of socio-ecological systems.

The Role of Female’s Participation in Economic Activity to Household Income The Case of Mizan Aman Town, South Nation Nationality And People’s Region, Ethiopia

2021 ◽  
Author(s):  
Kemal Omer Ahmed
Keyword(s):  
Household Income ◽  
Simple Random Sampling ◽  
Linear Regression Method ◽  
Economic Activities ◽  
Factors Affecting ◽  
Household Decision ◽  
Secondary Sources ◽  
Women's Participation ◽  
Descriptive Method

Abstract The main aim of the study was to examine the role of females' economic participation in household income. To achieve this objective both primary and secondary sources of data were collected from 400 sample size using simple random sampling method. The obtained data were first analyzed using a descriptive method to describe socio-economic characteristics of women in the study area. Secondly, to identify determinants of women’s participation in economic activities and household decision-making process logit model was employed and finally, multiple linear regression method was applied to identify factors affecting the level of women's contribution to household income. The result shows that female participation in economic activities positively determines by women's training and woman’s education level and is negatively affected by the presence of children under five years of age. The contribution of women to household income on average was estimated birr 32,400.50 per annum which was nearly 36.8percent of the overall household income. The possible recommendation is government and other respective bodies must encourage women to learn more and more.

scholarly journals Assessment of Women participation in Agriculture in Vavuniya district, Sri Lanka

2016 ◽  
Vol 3 (3) ◽  
pp. 159-162
Author(s):  
Gopalakrishnan Tharani ◽  
Mohamed Sameem Roshan Akther ◽  
Nanthakumaran Ananthini
Keyword(s):  
Decision Making ◽  
Sri Lanka ◽  
Multiple Regression ◽  
Urban Area ◽  
Rural Area ◽  
Rural Women ◽  
Rural Areas ◽  
Agricultural Activities ◽  
Urban And Rural Areas ◽  
Women Participation

An attempt was made to assess the women contribution towards agriculture in Vavuniya district, Sri Lanka. 60 farm family households' women were randomly selected from rural and urban area of Kovilkulam AI region of Vavuniya district in Sri Lanka and the data were collected by constructed questionnaire. The objectives of this study are to identify the factors contributing women participation in agriculture, to identify the constraints faced by the women in participating agriculture and to evaluate the women participation in decision making activity in agriculture. Minitab 15 and MS excel were used for data analysis. The level of women participation in agricultural activities was found out using chi-square test and the factors contributing for women participation in agricultural activities were identified using multiple regression analysis in urban and rural areas separately (α=0.05). The results revealed that 90% of the rural women respondents and 50% of the urban respondents participated in the agricultural activities which is a significant difference. The mean values of women participation in agricultural activities in urban and rural areas were 77 hours and 836 hours per annum respectively. The multiple regression model for women participation in urban area found that the participation of women negatively correlated with status of employment, age and education level (p=0.000). In rural area, age and educational level were negatively influencing on women participation in agricultural activities (p=0.000). R-square values of fitted regression models were 72 % and 91% in urban and rural area respectively 72% and 91% variation in respective women participation were explained by these models. The obstacles for the women in participation in agricultural activities were reported as lack of knowledge and training in agriculture field, family burden, cultural and social barriers and physical constraints. 60% of women from rural areas and 90% of women from urban areas were involved in decision making especially in the selection of crops and varieties for planting and livestock rearing. Enhancing the awareness and the technical knowledge to the women in the field of agriculture would contribute to increase income from agriculture at household level, district level and finally at national level. Int. J. Soc. Sc. Manage. Vol. 3, Issue-3: 159-162

scholarly journals After the Financial Crisis: The Evolution of the Global Income Distribution Between 2008 and 2013

2020 ◽  
Author(s):  
Branko Milanovic
Keyword(s):  
Financial Crisis ◽  
Income Distribution ◽  
Household Income ◽  
Global Financial Crisis ◽  
Income Growth ◽  
Global Inequality ◽  
Working Paper ◽  
Income Data ◽  
The Global Financial Crisis ◽  
China’S Growth

Using the newly created, and in terms of coverage and detail, the most complete household income data from more than 130 countries, the paper analyzes the changes in the global income distribution between 2008 and 2013. This was the period of the global financial crisis and recovery. It is shown that global inequality continued to decline, largely due to China’s growth that explains one-half of global Gini decrease between 2008 and 2013. Income growth of the global top 1 percent slowed significantly. The slowdown is present even after survey data are corrected for the likely underestimation of highest incomes. The paper ends with a discussion of the effects of the financial crisis in the light of an even more serious looming crisis caused by the 2019-20 pandemic. (Stone Center on Socio-Economic Inequality Working Paper)

scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Produktivitas Tenaga Kerja Panen Kelapa Sawit Di Kebun Batee Puteh PT. Agro Sinergi Nusantara

2018 ◽  
Vol 3 (2) ◽  
pp. 183-194
Author(s):  
Arham Arham ◽  
Edy Marsudi ◽  
Azhar Azhar
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Palm Oil ◽  
Household Income ◽  
Random Sampling ◽  
Total Sample ◽  
Total Income ◽  
Oil Companies ◽  
Analysis Technique ◽  
Total Household Income

Abstrak. Produktivitas tenaga kerja memegang peranan penting pada perusahaan kelapa sawit,penelitian ini bertujuan untuk mengetahui seberapa besar jumlah tanggungan keluarga,pendapatan total rumah tangga, premi, umur dan pengalaman mempengaruhi produktivitastenaga kerja panen kelapa sawit di Kebun Batee Puteh PT. Agro Sinergi Nusantara (ASN).Penarikan sampel dilakukan dengan metode proportional random sampling dari 7 afdeling diKebun Batee Puteh PT. ASN dengan jumlah populasi 157 orang diambil 20% per afdeling jaditotal sampel pada penelitian ini berjumlah 32 orang. Teknik analisis yang digunakan padapenelitian ini adalah analisis regresi berganda. Hasil penelitian menunjukkan secara parsialjumlah tanggungan keluarga, pendapatan total rumah tangga dan premi berpengaruh secarasignifikan terhadap prosuktivitas tenaga kerja panen kelapa sawit di Kebun Batee Puteh PT.ASN.Kata Kunci : Produktivitas tenaga kerja, jumlah tanggungan keluarga, pendapatan total rumahtangga, premi, umur, pengalaman.Abstract. Labor productivity plays an important role in palm oil companies, this study aims tofind out how big the number of family dependents, total household income, premiums, age andexperience affect the productivity of palm oil harvest work in Kebun Batee Puteh PT. AgroSinergi Nusantara (ASN). Method that used to take sample is proportional random samplingmethod from 7 afdeling at Kebun Batee Puteh PT. ASN with a population of 157 people taken20% each afdeling so the total sample in this study 32 people. The analysis technique used inthis research is multiple regression analysis. The results showed partially the number of familydependents, the total income of households and premiums significantly influence theprocurement of labor harvest of palm oil in Kebun Batee Puteh PT. ASN.

scholarly journals Forecasting of Households Consumption Expenditure with Nonparametric Regression: The Case of Turkey

2016 ◽  
Vol 19 (2) ◽  
pp. 19-32
Author(s):  
Noyan Aydin ◽  
Taner Akmercan
Keyword(s):  
Low Income ◽  
Household Income ◽  
Household Size ◽  
High Income ◽  
Consumption Expenditure ◽  
Income Levels ◽  
Parametric Regression ◽  
Household Disposable Income ◽  
R Programming ◽  
The Relationship

Abstract The relationship between household income and expenditure is important for understanding how the shape of the economic dynamics of the households. In this study, the relationship between household consumption expenditure and household disposable income were analyzed by Locally Weighted Scatterplot Smoothing Regression which is a nonparametric method using R programming. This study aimed to determine relationship between variables directly, unlike making any assumptions are commonly used as in the conventional parametric regression. According to the findings, effect on expenditure with increasing of income and household size together increased rapidly at first, and then speed of increase decreased. This increase can be explained by having greater compulsory consumption expenditure relatively in small households. Besides, expenditure is relatively higher in middle and high income levels according to low income level. However, the change in expenditure is limited in middle and is the most limited in high income levels when household size changes.

Pell Grant Versus Income Data in Postsecondary Research

2019 ◽  
Vol 48 (5) ◽  
pp. 309-315 ◽  
Author(s):  
Kelly Ochs Rosinger ◽  
Karly S. Ford
Keyword(s):  
Low Income ◽  
Household Income ◽  
Income Quintile ◽  
Pell Grant ◽  
Detailed Data ◽  
Low Income Students ◽  
Economic Diversity ◽  
Income Status ◽  
Income Data ◽  
Recent Policy

Given growing disparities in college enrollment by household income, policymakers and researchers often are interested in understanding whether policies expand access for low-income students. In this brief, we highlight the limitations of a commonly available measure of low-income status—whether students receive a federal Pell grant—and compare it to new data on enrollment by income quintile to evaluate a recent policy effort within elite colleges aimed at expanding access. We demonstrate that Pell is a rough measure of low-income status and that without more detailed data on colleges’ economic diversity, policy evaluations focusing on existing Pell data will suffer from measurement error and potentially miss enrollment effects for moderate- and high-income students.

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