scholarly journals Land Ownership and Income Distribution of People in Ngimbakan and Mranggen Municipality Polokarto Sub-District, Sukoharjo

2004 ◽  
Vol 10 (1) ◽  
Author(s):  
Wahyuni Apri Astuti
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Total Income ◽  
Poverty Level ◽  
Irrigation Systems ◽  
Positive Correlation ◽  
Agricultural Income ◽  
Table Analysis

The research is conducted in Ngombakan and Mrangeen, two villagein district of polokarto, Sukoharjo regency. The two villages employe two different irrigation systems, one technical and the other non-technical. The study aims at two major objectives, namely: 1) the relation between the width of agricultural land holding and the income distribution of the different irrigation systems employed in the two villages; and 2) yhe influence of land holding having different irrigation systems on the agricultural income, non agricultural income as well as the household income. The sample include 225 respondents selected in proportion. They consist of 75 respondents that come from the village employing the technial irrigation. And 150 respondents from that employing the non-technical irrigation. The samples are taken in random. The analysis is conducted by means of cross-table analysis, frequency distribution, and product moment correlation.The result of the reasearch show that 1) there is small rate of land holding in two village; 2) there is a great deal of inequality  of land holding in the two villages in which it is higher in Mranggen than that in Ngombakan (Gini index in Mranggen is 0.668, where as that in Ngombakan is 0.602); 3) there is a considerable inequality of agricultural income in which Mranggen is higher than Ngombakan; 4) there is a slight differene of household income in two villages; 5) there is positive correlation between the widht of land holding and the agricultural income, non agricultural income as well as the household income in Mranggen; 6) there is a positive correlation between the widht of land holding and agricultural income but there is no significant correlation between the widht of land holding and the non agricultural income as well as that of the household. The study was found out that the non-agricultural sector is playing an inreasingly important role in the distribution of household income. The inequality of agricultural income in the villages is considerably high but the inequality of the total income as well as that of the income per capita is relatively low. The contribution of the agricultural sector to the total income is lower than that of the non-agricultural. There is a difference of poverty level in which respondents employing the tehnical irrigation have a lower degree of poverty than those employing the non-technical irrigation.

scholarly journals Land Tenure and Farmers Income Distribution (Case Temon and Keduang Watershed)

2004 ◽  
Vol 16 (2) ◽  
Author(s):  
S Andi Cahyono ◽  
Nana Haryanti
Keyword(s):  
Income Distribution ◽  
Land Tenure ◽  
Household Income ◽  
Agricultural Sector ◽  
Survey Method ◽  
Total Income ◽  
Land Access ◽  
Growth Development ◽  
Farmer Income

Land authority and imbalance of income distribution are always be an interesting issue for an importance role of land in society. It is interesting and necessary to find out how contribution of agricultural sector to farmer income and what effect of land authority imbalance to income distribution. This research was conducted at Temon and Keduang sub watershed. Survey method was adapted to collect the field data. Afterward, the collected data was analyzed quantitatively. The result indicated that the contribution of agricultural sector to farmer income at Temon sub watershed (69.39%) was hhigher than at Keduang sub watershed (59.11%). This showed that narrow in land authority will be increasing the contribution of agricultural sector to total income. It related to diversify efforts of land using. Imbalance of land authority not always affected the income imbalance, caused by development of non agricultural sector. Land access only was unfeasible to be an indicator of farmers household income level without considering the biophysics condition and non agricultural sector growth development.

scholarly journals Does Agricultural Performance Contribute to Rural Poverty Reduction in Indonesia?

JEJAK ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 69-83
Author(s):  
Muhammad Amir Arham ◽  
Ahmad Fadhli ◽  
Sri Indriyani Dai
Keyword(s):  
Rural Communities ◽  
Income Distribution ◽  
Government Policy ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Agricultural Sector ◽  
Rural Poverty ◽  
Poor People ◽  
Poverty Level ◽  
Agricultural Performance

Agriculture is the primary sector in many provinces in Indonesia. In fact, most of the rural communities work in the agricultural sector. Nevertheless, the poverty level in rural areas remains high. Therefore, this study was aimed at investigating the performance of the agricultural sector in reducing the rural poverty level in Indonesia, and to investigate factors that contribute as a determinant in reducing rural poverty level in Indonesia. This study was significant, considering that the result was to contribute to government policy evaluation in the agricultural sector, especially in reducing poverty in rural areas. This study used quantitative analysis through multiple regressions with data panel from 2014 to 2017 from 33 provinces in Indonesia. This study revealed that the increase of agricultural sector share and the widening of the income distribution had caused an increase in poor people in a rural area. This finding also revealed that the income distribution gap was a determinant to the severity of rural poverty. The growth in the agricultural sector to contribute toward the economy could reduce rural poverty level in Indonesia. Meanwhile, agricultural financing, economic growth, inflation, and the farmer exchange rate had not significantly contributed to reducing the poverty level.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN USAHATANI SORGUM DI KABUPATEN GUNUNGKIDUL

Agro Ekonomi ◽  
2016 ◽  
Vol 25 (1) ◽  
Author(s):  
Retno Wiji Gupito ◽  
Irham Irham ◽  
Lestari Rahayu Waluyati
Keyword(s):  
Linear Regression ◽  
Income Distribution ◽  
Household Income ◽  
Lorenz Curve ◽  
Sampling Method ◽  
The Other ◽  
Total Income ◽  
Factors Influencing ◽  
Total Household Income ◽  
Land Size

The objective of this study are : (1) to understand about the contribution of sorghum farming income to total household income, (2) factors that influence sorghum farming income, and (3) income distribution level of sorghum farmers in Gunungkidul Regency.The basic methodused in this studyis descriptive-analytic. Sampling method used in this study is purposive sampling. The data weretaken from 30 farmers in study area. The data was collected by an interview,questionnaires and literatures study case.In order to learn the several factors influencing income level, isused multiple linear regression method.On the other hand,the level of total income distribution of sorghum farmerswas analylizedby using Gini Ratio and Lorenz Curve. The results of this study showsthat shorgum farming incomecontributes 2% for total farmers income. This study also show that sorghum farming does not cause inequality income in the study area. Several factorsthat affect sorghum farmers income positively are the land size and seed prices.

scholarly journals Impact and economic value of agricultural land conversion in sub-urban of Bantul Regency

2020 ◽  
Vol 200 ◽  
pp. 03005
Author(s):  
Hestina Fandani ◽  
Rika Harini
Keyword(s):  
Urban Areas ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Economic Value ◽  
Land Conversion ◽  
Structured Interviews ◽  
Land Rent ◽  
Employment Opportunities ◽  
Agricultural Income ◽  
The Impact

Increasing the number of populations in urban areas results in increasing the need for shelter and food, while the land area is limited. This has led to a conversion of agricultural land to non-agricultural land, especially in sub-urban areas that directly adjacent to urban areas. This study aimed to identify the impact of agricultural land conversion, and also to estimate the economic value of paddy land loss in sub-urban of Bantul Regency. Data were collected through structured interviews, institutional data, and literature reviews. These data were analyzed in a quantitative descriptive. Most of the paddy fields are converted for home and housing, partially used for economic activities that have higher land rent such as shops, boarding houses, and restaurants. The perceived impact is increasing air temperature, air pollution, also reduced employment opportunities and income from agricultural sector. The total economic value of the direct use obtained from the existence of agricultural land in Bantul sub-urban is IDR 96 806 832 ha–1 yr–1. It is includes the value of rice production of IDR 53 934 540 ha–1 yr–1, the value of employment opportunities is IDR 17 126 688 ha–1 yr–1 and the value of agricultural income is IDR 25 745 604 ha–1 yr–1.

scholarly journals Determination of Farmers’ Willingness to Pay for Sustainable Agricultural Land Use in the GAP-Harran Plain of Turkey

Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 261
Author(s):  
Mustafa Hakkı Aydoğdu ◽  
Mehmet Reşit Sevinç ◽  
Mehmet Cançelik ◽  
Hatice Parlakçı Doğan ◽  
Zeliha Şahin
Keyword(s):  
Willingness To Pay ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Simple Random Sampling ◽  
Basic Material ◽  
Face To Face ◽  
Harran Plain ◽  
Agricultural Income ◽  
Sustainable Usage

There is a risk of salinity and degradation in soil structure due to excessive irrigation in the GAP-Harran Plain. The purpose of the research is to determine farmers’ willingness to pay (WTP) for applications of sustainable agricultural land usage practices to avoid salinization in soil based on irrigation problems related to the demands of the farmers’, their needs, and which factors affect their willingness to accept payment. The basic material of the research was obtained through face-to-face questionnaires from farmers who were selected by a method of simple random sampling in 2018. Heckman’s two-stage model was used in the analysis of the data in Stata. According to the results obtained from the research, 27.85% of the participants indicated WTP and the average amount was USD 16.2/hectare. The average WTP is calculated as USD 4.43/hectare for all participants and 735.38 thousand USD/year for the whole plain. The agricultural income, household size, farming experience, land amount, non-agricultural income, education level, working in the non-agricultural sector, and membership of farmers’ union were determined as statistically effective factors. It is necessary to raise the awareness of farmers through extension services. As awareness increases, both WTP and the adoption of applications will increase. The results supply useful data for people working on this subject for the planning and implementation of sustainable usage of resources in Turkey and to regions with similar socio–economic characteristics. This study is the first of its kind in GAP-Harran, Turkey.

scholarly journals Poverty and food insecurity in eastern India: A disaggregated regional profile of West Bengal

2020 ◽  
Vol 11 (2) ◽  
pp. 166-169
Author(s):  
Arnab Roy ◽  
M.N. Venkataramana ◽  
R. Raghupati
Keyword(s):  
Food Insecurity ◽  
Agricultural Sector ◽  
West Bengal ◽  
Eastern India ◽  
Total Income ◽  
Agricultural Income ◽  
Major Development ◽  
Conventional Production ◽  
Development Goals ◽  
Per Capita

With the United Nations’ Millennium Declaration adopting eight major development goals on 8 September 2000, the question of reduction in poverty and food insecurity has received major policy focus in several developing countries the world over. The paper intends to study the nature of income inequalities, food security and poverty among different sub-groups of population in Eastern India. It has been found that inequalities in terms of share of total income and population exist both in case of agricultural and non-agricultural income irrespective of sub-groups. The contribution of agricultural income in the income profile is less than that of non-agricultural income which exhibits the deplorable condition of agriculture and thereby the non-agricultural sector has an immense scope for reduction of income inequality even the fact remains that about 65 per cent of the rural population engages in agriculture. The population of India increased at an exponential rate of 1.64 per cent year on year (YoY) during 2001-11 and for West Bengal it’s 1.31 per cent. On continuing with conventional production, the per capita availability of cereals would be 390 g per day in 2032 for West Bengal and 568 g per day for India. The adjusted R2 of fit is 78 per cent for West Bengal and 96 per cent for India. There is a steady decline in growth of cereal production in India and the decline is more striking in West Bengal.

Contributions of Household Income of Farmers as Palm Crafts Outside Agriculture Sector

2017 ◽  
Vol 3 (5) ◽  
pp. 78
Author(s):  
Dewa Nyoman Sadguna ◽  
Ni Putu Anom Sulistiawati ◽  
Ni Komang Alit Astiari
Keyword(s):  
Household Income ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Farm Households ◽  
Primary Data ◽  
Substantial Contribution ◽  
Large Contribution ◽  
Total Income ◽  
Agriculture Sector ◽  
The Craftsman

The aim of this research is to know: the reasons of the farmer working as the craftsman, the constraints faced by the farmer as the craftsman, and the large contribution of household income of farmers as a craftsman fibers outside the agricultural sector in Munggu Village. Data collected in this research are primary data and secondary data. Data collection methods used were interviews and questionnaires. The data were analyzed by dividing the household income from the palm craft sector with the total income of the farmer household which was then supplies. Based on the results of the analysis is known most of the respondent farmers work as craftsmen “fibers/palm “ijuk” is for economic reasons. The palm craft sector is an alternative in the effort to supplement household income since the income as a worker of palm oil producers can contribute to the total income of farm households, where the palm craft sector contributes 30,21 of the total income of farm households. The agricultural sector contributed 25,92%. Given the substantial contribution of the palm fiber sector, the work can still be done by the farmers of respondents as long as no other work is considered better in helping to increase the income of farm households.

scholarly journals Diversification of Farmer Income in West Java

2017 ◽  
Vol 2 (01) ◽  
pp. 20
Author(s):  
Adhitya Wardhana ◽  
Reni Tri Handayani ◽  
Eksa Pamungkas
Keyword(s):  
Climate Change ◽  
Household Income ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Household Head ◽  
Jel Classification ◽  
West Java ◽  
Access To Credit ◽  
Household Level ◽  
The Impact

<p>Agricultural land has decreased the impact on farmers in meeting their needs. The transition to agriculture complicates industry in its effort to meet the needs of farmers. Another issue, climate change will disrupt plant crops that will result in inefficient farming. Farming inefficiencies are a reason for farmers to diversify. This study was based on a micro data survey data of agricultural enterprise household income in the Regencies / Cities of West Java on a household level. Limits of household income diversification of farming is when the household has to venture outside the agricultural sector or one of the cores and the sources of income comes from salaries / wages of laborers / employees outside the agricultural sector. The results showed that with the increasing age of the household head the diversity decreases, the higher the education of the head of household the more it encourages the diversification of income, the more the additional land area increases diversification, the easier access to credit for adding revenue diversification, increasing the income of farmers that tend not to diversify, the more houses and stairs in school which support farmers to diversify, the more productive the household income lowers with diversification.</p><p><br />JEL Classification: D31, O12, O13<br />Keywords: Climate Change, Diversify, Diversity of Income, Farming, Inefficiency</p>

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