scholarly journals Factors Affecting Farm Income of Different Farming System in Madhya Pradesh

Author(s):  
Yogesh Tiwari ◽  
H. O. Sharma ◽  
P. K. Awasthi ◽  
Prasanna Kolar

The present study was conducted in Umaria and Anuppur districts of Madhya Pradesh with the specific objective viz. to examine the factors influencing farm income of the respondents. The study confined to two locations of AICRP on IFS, JNKVV, Jabalpur. Total 240 respondents, consisted of 120 beneficiaries under IFS and 120 non-beneficiaries with similar socio economic, were involved in this work. The log linear form of Cobb-Douglas production function was applied to determine the effects of socio-economic variables on farm income. Apart from this, some descriptive statistical analyses were carried out to examine the socio-economic characteristics of the households. The estimated results of the regression models revealed that land holding, irrigation intensity, cost of farm inputs and employment generation had a significant positive effect on farm income among beneficiary’s respondents. On the other hand, age, education, cost of farm inputs and employment generation had a significant positive effect on farm income among non-beneficiary’s respondents. The results of the present study help in increasing the farm income by the enhancement of the factors which found significant during the study period and the policy makers can also plan accordingly for the betterment of both the respondents.

2013 ◽  
Vol 23 (1-2) ◽  
pp. 143-150 ◽  
Author(s):  
MT Parvin ◽  
M Akteruzzaman

The study has been conducted to examine the factors influencing farm and nonfarm income of Haor economy in Bangladesh. Dingaputa Haor area of Netrokona district was selected for the present study and a sample of 60 farmers had been taken randomly. The log linear form of Cobb-Douglas production function was chosen to determine the effects of socioeconomic variables on farm income and non-farm income. Apart from this, some descriptive statistical analysis were done to examine the socioeconomic characteristics of sampled households. The estimated results of the regression models revealed that family size and farm size had a significant positive effect on farm income and non-farm income had a significant negative effect on farm income. On the other hand, family size had a positive and significant effect on non-farm income and farm income had a negative and significant effect on non-farm income. To promote the farm and non-farm sector income and strengthening its potential linkages between them, the study mainly recommends increasing efforts on two fronts: first, reforming the institutions responsible for rural development and second, development activities and projects that would enhance farm and non-farm income and the linkages between them.DOI: http://dx.doi.org/10.3329/pa.v23i1-2.16578Progress. Agric. 23(1 & 2): 143 – 150, 2012


2020 ◽  
Vol 29 (4) ◽  
pp. 433-447
Author(s):  
TJ Bergstra ◽  
H Hogeveen ◽  
EN Stassen ◽  
AGJM Oude Lansink

In response to the publics concerns about animal welfare in swine husbandry, the pig (Sus scrofa domesticus) sector introduced improved measures to focus on single rather than multiple dimensions of animal welfare concerns without accounting for their impact on public attitudes. These measures failed to improve attitudes to pig husbandry. The present study uses a more comprehensive approach by evaluating animal welfare measures in terms of their effect on animal welfare, farm income and public attitudes. Four measures were defined for each of the following societal aspects of sow husbandry: piglet mortality; tail biting and the indoor housing of gestating sows. A simulation model was developed to estimate the effects of the measures and Data Envelopment Analysis used to compare measures in terms of their effects on animal welfare, farm income and public attitudes. Only piglet mortality measures were found to have a positive effect on farm income but they showed a relatively low effect on animal welfare and public attitudes. The most efficient measure was that which included straw provision, daylight and increased group sizes for gestating sows. The level of improvement of a measure on animal welfare did not necessarily equate to the same level of improvement in public attitudes or decrease in farm income.


2016 ◽  
Vol 51 (1) ◽  
Author(s):  
R. L. Sharma ◽  
Shalu Abraham ◽  
Rakesh Bhagat ◽  
Om Prakash

Two farming system research models were laid out on farm at KVK Gariyaband during 2014-15 and 2015-16 with an aim to study the economic viability and employment generation of the models. Model I was laid out in 3.5 acre area under rainfed conditions and Model II was laid out in 1.5 acre area under irrigated conditions. IFS Model II under irrigated conditions proved to be more remunerative with highest average net returns of Rs.452096 indicating better economic viability and better employment generation capacity as compared to IFS Model I under rainfed conditions.


2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Fikri Syahputra ◽  
Dyah Aring Hepiana Lestari ◽  
Fembriarti Erry Prasmatiwi

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


2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Aristyan Jeffri Nugroho ◽  
Martianus Budiantara

The  research aims to find out factors of financial performance of local goverment regencies or city in Yogyakarta. Independent variabel are wealth of local goverment, dependence with central goverment, and local goverment expenditures. On the other hand the dependent variable is financial performance of local goverment as measured by the efficiency ratio. Population of this research are local goverment financial report (LKPD) of Yogyakarta period 2010-2014 audited by BPK. The sample are estimate realization report (LRA) all regencies or city and the province of Daerah Istimewa Yogyakarta. Hypothesis of this research were examined by using multiple regression in SPSS 16 software. Result of this reearch indicate that wealth of local goverment have significant positive effect on the financial performance of local goverment. Dependence with central goverment have significant positive effect on the financial performance of local goverment. Then, local goverment expenditures also have significant positive effect on the financial performance of local goverment.   Faktor-faktor yang mempengaruhi kinerja keuangan pemerintah daerah kabupaten/kota yogyakarta


2020 ◽  
Vol 21 (01) ◽  
Author(s):  
Yuwita Ariessa Pravasanti

This study aims to examine analysis of factors affecting on taxpayer compliance. This type of research includes quantitative research using primary data obtained directly by respondents using a questionnaire. The population in this study were all land and building taxpayers in Tawengan Village. The method used in the selection of samples is purposive sampling method using solvin formula and set samples based on criteria determined by researchers. Respondents in this study were 138 respondents. Based on the results of processing primary data (questionnaires) with multiple linear regression analysis methods, F test and t test known variables of taxation socialization, understanding taxation procedures, awareness of taxpayers and tax sanctions simultaneously significantly influence taxpayer compliance. Partially, this study shows that tax socialization and tax sanctions have a significant positive effect on tax compliance. While understanding taxation procedures and awareness of taxpayers does not have a significant influence on taxpayer compliance in paying land and building taxes


2020 ◽  
Vol 7 (1) ◽  
pp. 35-45
Author(s):  
Zhe Sun

 Based on data of the listed banks and insurance companies from 2011-2016, this paper studies the factors affecting directors’ and officers’ liability insurance, the relationship between directors’ and officers’ liability insurance and corporate performance. Empirical research shows that there is a significant positive correlation between the company’s asset-liability ratio, corporate performance and directors’ and officers’ liability insurance. Directors’ and officers’ liability insurance has a significant positive effect on corporate performance of listed banks and insurance companies. The empirical findings of this paper will help to strengthen the understanding of directors’ and officers’ liability insurance in bank and insurance companies and promote the widespread use of directors’ and officers’ liability insurance in the future.


2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Mehmet Eryigit ◽  
Abdul Qayum Shafaq

This study examined the factors affecting foreign direct investments (FDI) for the case of Afghanistan. Generally, the literature has focused on the factors affecting direct investments towards developing and underdeveloped countries. The primary purpose of this study is to identify the factors affecting FDI inflow to Afghanistan. Different from previous studies, this study examined the effects of the following factors; globalization indices, gross domestic product, export volume, import volume, and exchange rate (USD/AFN) of Afghani. The factors were determined based on a review of the literature. Regarding the interaction across variables, three different regression models were tested to examine the effects of those factors on FDI inflows to Afghanistan. Ordinary Least Squares estimation was employed. According to the results of the integrated model (the model that covers all exploratory variables), globalization has a statistically significant positive effect on FDI, whereas the gross domestic product (GDP) has a statistically significant negative effect on FDI. When we test the effect of GDP and exchange rate (EXC) jointly on FDI, we find the statistically significant positive effect of those variables on FDI. The results of this study recommend the economy politicians in Afghanistan implement exchange rate policies that promote the FDI and to increase the inflowing of FDI into the country.


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