Impact of New Agricultural Technology on Farm Income Distribution in West Godavari District, India

1976 ◽  
Vol 58 (2) ◽  
pp. 346-350 ◽  
Author(s):  
V. T. Raju
Keyword(s):  
Income Distribution ◽  
Agricultural Technology ◽  
Farm Income ◽  
On Farm

scholarly journals ANALISIS STRUKTUR DAN DISTRIBUSI PENDAPATAN RUMAH TANGGA SERTA TINGKAT KESEJAHTERAAN ANGGOTA KOPERASI SERBA USAHA PETERNAK MOTIVASI DOA IKHTIAR TAWAKKAL (KSUP MDIT) DI KECAMATAN GISTING KABUPATEN TANGGAMUS

2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Fikri Syahputra ◽  
Dyah Aring Hepiana Lestari ◽  
Fembriarti Erry Prasmatiwi
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Secondary Data ◽  
Primary Data ◽  
Farm Income ◽  
Household Welfare ◽  
Distribution Analysis ◽  
On Farm ◽  
Positive Effect

This study aims to analyze the household income’s structure and distribution, and the household welfare level among cooperatives members, in addition to analyze factors that affected the household welfare of cooperative members. This research employed case study method.  The data was collected from September to October 2016.  The research respondents were 55 people who were all members of KSUP MDIT.  The data was consisted of primary and secondary data. Primary data was obtained by observation and interview; while secondary data was obtained  from the agencies and literatures associated with the study.  The data was analyzed by income analysis, income distribution analysis, welfare analysis and binnary logistic regression analysis. The result showed that the biggest member of cooperative member's household income structure in the latest year was non livestock earnings of On Farm followed by non farm income, goat business income and off farm income.  Distribution of household member income of cooperatives were in low inequality. Based on Socio Metrix indicator, 70.91% cooperative members’ households were included in prosperous category and the remaining 29.09% were not prosperous and old variables of education, length of membership, and household income have a positive effect on welfare level.Key words: distribution income, prosperity of members, income

scholarly journals STRUKTUR DAN DISTRIBUSI PENDAPATAN SERTA TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI UBI KAYU DI KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 9 (2) ◽  
pp. 17
Author(s):  
Rosi Triafni Nurhayati ◽  
Raden Hanung Ismono ◽  
Yaktiworo Indriani
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Farm Income ◽  
Welfare Level ◽  
Significant Difference ◽  
The Difference ◽  
On Farm ◽  
Level Analysis

This research aimed to analyze the difference of the income structure, the income distribution, and the welfare level of cassava farmer households based on factory location distance from location of cassava farm in Lampung Tengah Regency. The research sample consisted of 42 cassava farmers in Terusan Nunyai Subdistrict and 31 cassava farmers in Bandar Mataram Subdistrict. The data were analyzed using income structure, income distribution, and welfare level analysis based on BPS criteria. The results of this research showed that there was difference in the income structure between cassava farmers in Terusan Nunyai Subdistrict and Bandar Mataram Subdistrict. The income structure of cassava farmers had the highest contribution of the household income from main on-farm income which was 65.75 percent and 78.88 percent. There was also difference in the income distribution between cassava farmer households in Terusan Nunyai Subdistrict and Bandar Mataram Subdistrict. The income distribution of cassava farmer households in Terusan Nunyai Subdistrict was categorized as moderate inequality, welfare in Bandar Mataram Subdistrict was categorized as high inequality. There was no significant difference of the welfare level of cassava farmer households between the two locations. Based on BPS criteria, the welfare level of cassava farmer households in Terusan Nunyai and Bandar Mataram Subdistrict were categorized as prosperous farmer households.Key words: cassava, farmers, income, welfare

Does a farmland zoning program impact farm income: empirical evidence from farm households in Taiwan

2020 ◽  
Vol 47 (5) ◽  
pp. 1621-1643
Author(s):  
Hung-Hao Chang ◽  
Tzu-Chin Lin
Keyword(s):  
Income Distribution ◽  
Regression Discontinuity ◽  
Wealth Effect ◽  
Farm Households ◽  
Farm Income ◽  
Regression Discontinuity Design ◽  
Program Impact ◽  
Farm Operators ◽  
On Farm

Abstract Does farmland zoning affect farm income, and why? This study addresses these questions using a case study in Taiwan. We use a unique farmland-level dataset and apply the regression discontinuity design to quantify the effects of zoning on farm income. We find that the zoning program decreases farm income. The programme effects are heterogeneous, as they are more pronounced for farms in the higher percentiles of the farm income distribution. Moreover, a larger effect is found for elderly farm operators. Concerning the mechanism, we argue that the zoning program generated an optional benefit or wealth effect for eligible farms. This wealth effect then reallocates family labour to off-farm jobs. Consequently, the zoning program reduces income from farming.

scholarly journals DISTRIBUSI PENDAPATAN RUMAH TANGGA PETANI DI KABUPATEN KARANGANYAR

Agro Ekonomi ◽  
2016 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Umi Barokah ◽  
Dwidjono Hadi Darwanto ◽  
Supriyanto Supriyanto
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Industrial Area ◽  
Farm Income ◽  
Cluster Sampling ◽  
Farm Household ◽  
Small Farmers ◽  
Income Household ◽  
Multi Stage ◽  
On Farm

The purpose of this research is to study the contribution of off-farm to income household and the effect of off-farm to income distribution between farm household. The location is choosen purposively based on the number of people as farmers, numbers and kind of industries and acessibility to reach economic centre. This research used multi stage sampling, the first was by cluster sampling, where all farm household from two village in Ngringo (kecamatan Jaten) and Tunggulrejo (kecamatan Jumantono) interviewed. And second stratified sampling based on farm size.The result showed that off-farm income (56,26 %) is greater than farm income (43,74 %). Off-farm income of small farmers (71,42 %) is greater than large farmers (45,18 %). Off-farm employment increased household income and the inequality of income tend to reduce. But off-farm employment is mainly for large farmers and close to the industrial area. In contrast, off-farm income increase inequality for small farmers in area far from industrial area

scholarly journals The Effects of Industrialization on Farm Income Distribution and Farm Numbers in New England

1981 ◽  
Vol 10 (2) ◽  
pp. 45-52
Author(s):  
A. Somwaru ◽  
T. C. Lee ◽  
S. K. Seaver
Keyword(s):  
Income Distribution ◽  
New England ◽  
Census Data ◽  
Farm Income ◽  
Middle Income ◽  
Economic Changes ◽  
The Past ◽  
Complementary Effect ◽  
Part Time ◽  
On Farm

Affected by industrialization, agriculture in New England adapts to economic changes. Farms have become either large commercial units or small part time farms. Distributions of farm income have changed from an inverted-J distribution to a U-shaped distribution in the past three decades. Farm income grows slower and shows a larger dispersion in urban counties than in rural counties. Analyses of census data support the hypotheses (1) that farm income is lognormally distributed and (2) that industrialization has a complementary effect on agriculture while growth of urbanization essentially reduces farm numbers mostly in middle income classes.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

scholarly journals AGRICULTURAL REGIONALIZATION BASED ON FARM-INCOME CHANGES

1978 ◽  
Vol 51 (5) ◽  
pp. 365-384
Author(s):  
Masaki ANDO
Keyword(s):  
Farm Income ◽  
On Farm

scholarly journals ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA MASYARAKAT SEKITAR TAMAN NASIONAL BUKIT BARISAN SELATAN KABUPATEN PESISIR BARAT

2021 ◽  
Vol 9 (3) ◽  
pp. 418
Author(s):  
M. Reza Fachrezy ◽  
Zainal Abidin ◽  
Adia Nugraha
Keyword(s):  
Household Income ◽  
National Park ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Farm Income ◽  
Labor Costs ◽  
The Third ◽  
Average Household Income ◽  
Average Education ◽  
On Farm

This study aims to determine the socio-economic characteristics of farmers, analyze the income structure, the factors that affect the income of farmers, and the level of household welfare of farmers who live around Bukit Barisan Selatan National Park, Pesisir Barat District. This research is a survey research involving 99 respondents who were randomly selected. Respondents were spread across four subdistricts, namely Bengkunat Belimbing, Ngambur, Pesisir Selatan, and Karya Penggawa Districts. The study was conducted from July to August 2018. The first objective was analyzed qualitatively, the second objective was analyzed using household income analysis, the third objective used multiple linear regression analysis, and the fourth objective was using Sajogyo's criteria (1997). The study suggested that the socio-economic characteristics of the farmers around TNBBS were spread from 15 to 64 years of age with an average age of 43.74 years. The average education level was elementary school, the number of majority of family sizes was from 4 to 6 people (67.68%), and the average land was 1.41 ha. The average household income of farmers is IDR 36,946,883.94 per year, which consists of on-farm income 63.68%, off-farm income 11.00%, and non-farm income 25.33%.. Factors that affect farmers' income are fertilizer costs and labor costs. The welfare of farmers around TNBBS is in quite prosperous category.Key words: characteristics, household income, welfare

scholarly journals Efektivitas Penyuluhan Pertanian Terhadap Pendapatan Usahatani Padi Sawah Di Kecamatan Indrapuri Kabupaten Aceh Besar

2016 ◽  
Vol 1 (1) ◽  
pp. 299-304
Author(s):  
Afrinawati Afrinawati ◽  
Mustafa Usman ◽  
Akhmad Baihaqi
Keyword(s):  
Descriptive Analysis ◽  
Agricultural Extension ◽  
Paddy Rice ◽  
Farm Income ◽  
Rice Farming ◽  
Extension Services ◽  
Rice Farmers ◽  
Work Area ◽  
Extension Center ◽  
On Farm

ABSTRAK  - Tujuan penelitian ini adalah bagaimana efektivitas penyuluhan pertanian terhadap pendapatan usahatani padi sawah di Kecamatan Indrapuri Kabupaten Aceh Besar. Penelitian ini dilakukan di Kecamatan Indrapuri Kabupaten Aceh Besar. Objek penelitian ini adalah petani padi sawah yang tergabung dalam kelompok tani di Wilayah Kerja Balai Penyuluhan Pertanian (WK-BPP) Indrapuri. Ruang lingkup penelitian ini terbatas pada efektivitas penyuluhan pertanian terhadap pendapatan usahatani padi sawah di Kecamatan Indrapuri Kabupaten Aceh Besar. Besarnya sampel penelitian 52 dengan metode analisis deskriptif dan efektivitas penyuluhan. Hasil penelitian menunjukkan bahwa efektivitas penyuluhan pertanian pada usahatani padi sawah di Kecamatan Indrapuri Kabupaten Aceh Besar sebesar 94,8% dari sebelum adanya kegiatan penyuluhan sebesar 72,9%. Dimana artinya ada juga peningkatan pendapatan di tingkat petani dari sebelumnya hanya Rp.20.194.705 per Ha per MT telah mampu meningkat menjadi Rp.30.046.062 per Ha per MT.Kata Kunci :   Efektivitas, Penyuluhan,  Pendapata, Usahatani ABSTRACT - The purpose of this study is how the effectiveness of agricultural extension on farm income Indrapuri of paddy in the district of Aceh Besar district. This research was conducted in the district of Aceh Besar district Indrapuri. The object of this research is the paddy rice farmers who are members of farmers' groups in the Work Area of the Agricultural Extension Center (WK-BPP) Indrapuri. The scope of this study is limited to the effectiveness of agricultural extension services to farm income Indrapuri of paddy in the district of Aceh Besar district. The amount of sample 52 with descriptive analysis and the effectiveness of counseling. The results showed that the effectiveness of agricultural extension on paddy rice farming in the district of Aceh Besar district Indrapuri of 94.8% on the prior existence of extension activities by 72,9%. Which means there is also an increase in the income level of farmers from previously only Rp.20.194.705 per ha per MT has been able to increase to Rp.30.046.062 per ha per MT.Keywords: Effectiveness, Education, Income, Farming

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