scholarly journals Farmers’ livelihood through ‘one house one farm’ approach in selected areas of Mymensingh district of Bangladesh

2017 ◽  
Vol 14 (2) ◽  
pp. 90-106
Author(s):  
MT Uddin ◽  
A Jannat
Keyword(s):  
Natural Capital ◽  
Physical Capital ◽  
Primary Data ◽  
Calorie Intake ◽  
Farm Income ◽  
Matching Methods ◽  
Project Idea ◽  
Econometric Analyses ◽  
The Impact ◽  
Radius Matching

The study was attempted to analyze the impact of ‘one house one farm’ approach on farmers’ livelihood status in some selected areas of Mymensingh district. As the study was based on comparing the farmers’ livelihood, a total of 90 farmers where 45 farmers were selected randomly who were under this project and the rest of 45 farmers were selected who were not under this project from Bhabkhali, Char Nilakshmia and Char Ishwardia union under sadar upazila. The primary data were collected through direct interview method from the selected farmers using structured questionnaire. Data were analyzed with a combination of descriptive statistics and econometric analyses like logistic regression and propensity score matching methods to attain the objectives. Sex distribution, family size, training exposure and farm income have positive and significant impact on the adoption of this project. Based on Kernel and Radius matching methods, the average farm household income of the project farmer was increased by the amount of Tk. 28,561.4 to Tk. 16,445.6 per year compared to non-project farmers which is statistically significant at 1% level. Overall employment opportunities were increased by the duration of 22 to 36 man-days for the project farmers compared to non-project farmers. Daily per capita calorie intake from different food items was higher for project farmers than the non-project farmers. The access on human capital, social capital, natural capital, physical capital and financial capital for project farmers were increased by 29.5%, 25.7%, 9.0%, 18.3% and 22.3%, respectively due to the adoption of ‘one house one farm’ approach. The study also identified some problems faced by the farmers for adopting the project and probable solutions related to those problems. If these problems could be solved within a reasonable time, farmers would be more enthusiastic to adopt the project idea for earning more income which helps them to change their livelihood status ultimately.SAARC J. Agri., 14(2): 90-106 (2016)

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 Integrated farming and its impact on farmers’ livelihood in Bangladesh

2016 ◽  
Vol 13 (2) ◽  
pp. 61-79 ◽  
Author(s):  
MT Uddin ◽  
MA Khan ◽  
MM Islam
Keyword(s):  
Farming System ◽  
Sampling Procedure ◽  
Calorie Intake ◽  
Average Percentage ◽  
Mixed Farming ◽  
Integrated Farming ◽  
Two Stages ◽  
Socioeconomic Data ◽  
The Impact ◽  
Radius Matching

The study was conducted to identify the present status of integrated farming and its impacts on farmers’ livelihood in comparison to mixed farming. Following two stages sampling procedure, a total of 420 farmers (210 for integrated farming and 210 for mixed farming) were selected from seven study areas of six districts on the basis of having intervention from different NARS institutes and without having any intervention from any organization. Descriptive statistics like sum, average, percentage, etc. were derived and calculated for analyzing the socioeconomic data. Propensity score matching (PSM) were applied with Kernel matching and Radius matching methods to evaluate the impact of integrated farming on farmers’ employment creation and income generation. The highest employment duration for male was 152.5 man-days/year for the farming system C-L-P-F-H under integrated farms and for mixed farms, it was 104.5 man-days/year. The average total income of the integrated farms was Tk. 124839 and for mixed farms, it was Tk. 99641. Average calorie intake of food secure households was 2927.83 kcal and 2839.14 kcal for integrated farming and mixed farming which is higher than the national average calorie intake (i.e., 2122 kcal). To assess the livelihood pattern through asset pentagon approach, noteworthy improvement was found based on different capitals of farm households practicing integrated farming in comparison to mixed farming. Finally, based on different problems, a constraint facing index was calculated in order to suggest policy recommendations.SAARC J. Agri., 13(2): 61-79 (2015)

Tax policy and farm capital investment: Section 179 expensing and bonus depreciation

2016 ◽  
Vol 76 (2) ◽  
pp. 246-269 ◽  
Author(s):  
James M Williamson ◽  
Sarah Stutzman
Keyword(s):  
Fixed Effects ◽  
Capital Investment ◽  
Agricultural Sector ◽  
Physical Capital ◽  
Cost Recovery ◽  
Farm Income ◽  
Content Type ◽  
Bonus Depreciation ◽  
On Farm ◽  
The Impact

Purpose – The purpose of this paper is to estimate the impact of Internal Revenue Code cost recovery provisions – Section 179 and “bonus depreciation” – on farm capital investment. Design/methodology/approach – The authors construct a synthetic panel of data consisting of cohorts of similar farms based on state and production specialization using the USDA’s Agricultural Resource Management Survey for years 1996-2012. Employing panel data methods, the authors are able to control for time-invariant fixed effects, as well as the effects of past investment on current investment. Findings – The authors estimate statistically significant investment demand elasticities with respect to the Section 179 expensing deduction of between 0.28 and 0.50. A change in bonus depreciation, on average, had little impact on capital investment. Practical implications – The estimates suggest there is a modest effect of the cost recovery provisions on investment overall, but a stronger effect on farms that have more than $10,000 in gross cash farm income. There are other implications for the agricultural sector: the provisions may encourage technology adoption with its associated benefits, such as reduced cost of production and improved conservation practices. On the other hand, the policy could contribute to the growing concentration in production as large commercial farms expand their operated acreage to take advantage of increasingly efficient physical capital. Originality/value – To the authors’ knowledge, this is the first research to use a nationally representative dataset to estimate to impact of Section 179 and “bonus depreciation” on farm investment. The findings provide evidence of the provisions’ impact on farm capital purchases.

Impact of Improved Agricultural Technology Use on Household Income in Eastern Ethiopia: Empirical Evidence from a Propensity Score Matching Estimation

2021 ◽  
pp. 232102492110076
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

This article investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Primary data for the study were 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 procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr1 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. Therefore, 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 multistakeholder innovation platforms.

scholarly journals An economic study on maize residue practices in Dinajpur district

2017 ◽  
Vol 14 (2) ◽  
pp. 209-218
Author(s):  
MT Uddin ◽  
A Goswami
Keyword(s):  
Natural Capital ◽  
Organic Fertilizer ◽  
Household Head ◽  
Physical Capital ◽  
Farm Size ◽  
Farm Income ◽  
Profitability Analysis ◽  
Proper Training ◽  
Logit Regression Model ◽  
Residue Retention

The study was conducted to examine the maize residue practices and its impact on productivity, profitability on succeeding crop and farmers’ livelihood. A total of 60 farmers from Ghoraghat upazila of Dinajpur district were selected randomly for data collection. Descriptive statistics (i.e., sum, average, percentages, ratios, etc.), profitability analysis and logit model were employed to achieve the objectives. In case of pattern of maize residue retention, whole retention method was the highest and it was 78.2 percent. The whole retention of maize residue was found higher in far distance plots from homestead and it was 82.8 percent. The highest utilization of maize residue was identified as organic fertilizer and it was 82.2 percent. Due to maize residue practices, both crop and livestock were benefited through resource interdependences. The productivity, profitability and annual income of succeeding crop i.e., Aman rice were higher due to maize residue practicing. The result of logit regression model shows that the farm size, age of household head, farm income and non-farm income were found as significant variables in explaining the maize residue adoption. The access on human capital, social capital, financial capital, natural capital and physical capital were increased by 23.5, 22.7, 26.7, 10.6 and 18.8 percent, respectively due to the practice of maize residue in comparison to traditional farming. The study recommended that farmers could enhance their livelihood if they get proper training facilities and extension services for maize residue management.J. Bangladesh Agril. Univ. 14(2): 209-218, December 2016

scholarly journals The Impact of the Suramadu Bridge on Rural Poverty in Kabupaten Bangkalan, East Java, Indonesia

2019 ◽  
Vol 12 (4) ◽  
pp. 353-361
Author(s):  
Henry Kusumas Karyadinata ◽  
Muhammad Pudjihardjo ◽  
Asfi Manzilati ◽  
Wildan Syafitri
Keyword(s):  
Poverty Reduction ◽  
Negative Impact ◽  
Natural Capital ◽  
Rural Poverty ◽  
Physical Capital ◽  
Least Square ◽  
Poverty Level ◽  
Production Factors ◽  
Before And After ◽  
The Impact

SummarySubject and purpose of work: This research was conducted to measure the influence of the Suramadu Bridge on the reduction of rural poverty and to determine the impact of production factors such as physical capital, natural capital, human capital and financial capital on poverty before and after the Suramadu Bridge began operating in Kabupaten Bangkalan.Materials and methods: This study adapted the model used by Nashwari et al (2017) which was analysed applying Ordinary Least Square (OLS). The data from Village Potential 2007 and 2017 was used in the research.Results: Many production factors in the village did not have a significant effect on the poverty reduction before the Suramadu Bridge began operating. After the Suramadu Bridge opened, it has had a significant negative impact on poverty. The number of farmers, rice fields, non-agricultural activities, superior products, skills facilities and credit facilities has a significant positive effect on the reduction of the poverty level.Conclusions: The existence of the Suramadu Bridge has increased the influence of production factors in the villages on the poverty reduction in Kabupaten Bangkalan.

scholarly journals FARMERS’ LIVELIHOODS STRATEGY BASED ON ASSET IN PANDANSARI VILLAGE POST ERUPTION OF MOUNT KELUD

2021 ◽  
Vol 21 (4) ◽  
pp. 277-284
Author(s):  
Abraham Ruylthon Illu ◽  
Abdul Wahib Muhaimin ◽  
Budi Setiawan
Keyword(s):  
Social Capital ◽  
Natural Capital ◽  
Secondary Data ◽  
Sampling Technique ◽  
Physical Capital ◽  
Simple Random Sampling ◽  
Livelihood Strategies ◽  
Survival Strategies ◽  
Primary Data ◽  
Livelihood Assets

This study examines farmers' livelihood strategies based on livelihood assets in Pandansari Village, Ngantang District, Malang Regency. This study uses a quantitative descriptive approach using a Likert scale. Primary data were obtained through in-depth interviews using questionnaires and field observations, while secondary data were obtained through literature studies from various related sources. The location was determined purposively with the consideration that Pandansari Village was the area in Ngantang District that was the worst affected by the eruption of Mount Kelud. Seventy-five farmers with simple random sampling technique were selected as respondents in this study. The respondents' livelihood assets include human capital, natural capital, social capital, financial capital, and physical capital. Meanwhile, livelihood strategies are classified into survival strategies, consolidation strategies and accumulation strategies. The results show that the most vital livelihood asset is social capital, while the indicator for natural capital is the weakest. The strongest indicator of the farmer's livelihood strategy in Pandansari Village is the consolidation strategy.

scholarly journals DAMPAK KONVERSI LAHAN PERTANIAN TERHADAP PENDAPATAN RUMAH TANGGA PETANI DI KABUPATEN KARANGANYAR

2017 ◽  
Vol 27 (1) ◽  
pp. 93
Author(s):  
Umi Barokah ◽  
Suprapti Supardi ◽  
Sugiharti Mulya Handayani
Keyword(s):  
Household Income ◽  
Agricultural Land ◽  
Secondary Data ◽  
Farm Households ◽  
Primary Data ◽  
Farm Income ◽  
Test Analysis ◽  
Field Function ◽  
The Impact

<p>This study aims to (1) analyzing the amount of land conversion and the factors that affect, (2) identify and analyze changes in household income structure of farm households, (3) analyze the impact of conversion on agricultural land to the income distribution, employment and welfare of farm households. The basic method on this study is a descriptive analytic. Determination of the districts location is based on (1) the number of people who worked as farmers themselves, (2) the amount and type of existing industries and (3) ease of reaching the central interconnected economy. Sub-district is elected Jumantono and Jaten. Type of data used include (1) primary data is the results of interviews with farm households, (2) secondary data from relevant instances. The results showed (1) during the 12 years there is a change 0,120 ha of wet rice field function per household farmer and owned land is the only factor affecting the conversion of agricultural land; (2) The proportion of farm income reduced by 8.30% from 42% to 33.7% and the proportion of outside farm income increased 10.30% from 54% to 64.30%), (3) the results of t test analysis with α = 5 % shows the employment and household income of farmers before the conversion is not the same as after the conversion of agricultural land (revenue increased to Rp 1.482 million per year). </p>

scholarly journals PERANAN PEMELIHARAAN TANAMAN MANGGIS TERHADAP PENDAPATAN PETANI DI JAWA BARAT

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Eti Suminartika
Keyword(s):  
Family Income ◽  
Foreign Market ◽  
Primary Data ◽  
Survey Method ◽  
Farm Income ◽  
Cultivation Method ◽  
The Family ◽  
Plant Maintenance ◽  
The Difference ◽  
The Impact

ABSTRAKPangsa pasar manggis masih terbuka lebar baik di dalam maupun di luar negeri, namun hanya 10persen manggis kita yang dapat diekspor, hal tersebut disebabkan oleh budidaya tanaman manggismasih sangat tradisional, jarang dipupuk, dibersihan dan dipangkas. Tujuan penelitian ini adalahmenganalisis pemeliharaan tanaman manggis, menganalisis perbedaan pendapatan usahatanimanggis dan menganalisis kontribusi pendapatan usahatani manggis terhadap pendapatan keluargapetani. Penelitian ini menggunakan data sekunder dan primer dengan menggunakan metoda survey.Selanjutnya data dianalisis dengan menggunakan analisis deskriptif, matematik dan ekonometrik.Penelitian dilaksanakan di sentra produksi manggis Jawa Barat yaitu di kabupaten Tasikmalaya danSubang. Hasil penelitian menunjukkan petani manggis di kabupaten Tasikmalaya lebih lebihmemelihara tanaman manggisnya dibandingkan di kabupaten Subang, meskipun demikianpemeliharaan tanaman di kedua kabupaten tersebut masih dibawah standar, dampaknya, pendapatandan keuntungan usahatani manggis di kabupaten Tasikmalaya lebih tinggi dibanding di kabupatenSubang dengan perbedaan yang signifikan secara statistik, oleh karenanya, pendapatan usahatanimanggis memiliki peranan yang besar terhadap pendapatan keluarga petani di kabupatenTasikmalaya.Kata kunci: manggis, pendapatan, keuntungan, pemeliharaan tanaman.ABSTRACTMarket share of mangosteen is still high both in the local and foreign market, but only 10 per cent ofIndonesian mangosteen can be exported. This is due to improper cultivation method such as rarelyfertilizing, weeding and other maintenance. Lack of maintenance of mangosteen farm can lowers thequality and productivity of trees. The purpose of this study was to analyse the maintenance ofmangosteen farm, the differences of mangosteen farm income and the contribution of mangosteenfarm income to the family income. This study used secondary and primary data which obtained fromfarmers, by using survey method. The data were analysed by using descriptive, mathematics andeconometrics analysis. Research was conducted in two of mangosteen production centres in WestJava, namely Tasikmalaya and Subang district. The results show that mangosteen farmers in theTasikmalaya is better at maintaining their garden than those in Subang, though the maintenance ofthe two districts are still below standard. The impact of the mangosteen farm income in Tasikmalayais higher than in Subang, the difference of income is statistically significant for both area. Therefore,mangosteen farm income has a major contribution on the family income, especially in Tasikmalaya.Keywords: mangosteen, farm income, plant maintenance.

scholarly journals Impact of Mahatma Gandhi National Rural Employment Guarantee Act (Scheme) on Unemployment and Village Economy (A Case Study of Mandor Block of Jodhpur District)

2021 ◽  
Vol 5 (7) ◽  
pp. 42-48
Author(s):  
Kshitiz Maharshi ◽  
Swati Vashisth ◽  
Neelam Shekhawat
Keyword(s):  
Secondary Data ◽  
Physical Capital ◽  
Fundamental Rights ◽  
Primary Data ◽  
Rural Employment ◽  
Safe Work ◽  
The Social ◽  
Employment Guarantee ◽  
The Unemployed ◽  
The Impact

The basic means of promoting improvement of village economy have been to increase employment, open doors to the unemployed and under-use human resources. A diverse training process has been put in place to meet the needs of the poor by guaranteeing their fundamental rights and encouraging new unexpected household developments. To combat unemployment, desperation and job security with a multiplier seminar on the social capital system, physical capital, and ecological synergies, strengthening the democratic process and ensuring sustainable development, another program with clear pay was organized. National Rural Employment Guarantee Act (NREGA) in 2005 and jointly implemented the states and organizational spaces of India in a course that was sponsored from February 2006. With its authentic cluster work and rights-based methodology, the National Gandhi Rural Employment (MGNREGA) grants every 100 days of safe work a farm. The MGNREGA is said to have raised and sustained the standard of people of village economy but as obvious questions are being raised on its reality rather than paper. This research paper aims to find out the effectiveness of the aforesaid programme on combating unemployment and improving the soul of India i.e. villages. For these purpose 50 grampanchayats of Mandor Block of Jodhpur District of Rajasthan state has been selected for the study and both primary data and secondary data was collected and analyzed using charts. The secondary data was collected from the website of government that provides data about MGNREGA and tabulated effectively to provide a conclusion about the impact of the programme and its weaknesses along with the suggestions if required.

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