scholarly journals Socio-Economic Factors Affecting Agricultural Production and Income in Bangladesh

2021 ◽  
Vol 2 (2) ◽  
pp. 56
Author(s):  
Susmita Das ◽  
Paritosh Mondal
Keyword(s):  
Agricultural Production ◽  
Information Dissemination ◽  
Target Population ◽  
Gender Disparity ◽  
Farm Size ◽  
Small Farm ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Farm Production

The study assessed some factors that determine agricultural production and income in Bangladesh. The factors that were addressed in the study were land, labour, capital, ethnicity, gender etc. It aimed to analyze the socio-economic characteristics of the farmers in Bangladesh, to investigate the level of agricultural production activities and to identify the agricultural production problems in Bangladesh. The target population was the farmers of eight divisions in Bangladesh.  The data were obtained from structured questionnaires, semi-structured interviews and FGD. Multiple linear regression of model fourteen explanatory variables was used to analyze the characteristics of the factors mentioned above in context of farm production and income. The result of data analysis showed that the variables such as gender, age, years of schooling, service area, operational farm size, cow-shed, electricity, radio, mobile phone, television, computer, bicycle, motorcycle etc. affect farmers’ production and income. The research also found gender parity and small farm holding in farming. There should be provision of effective agricultural information dissemination services by using ICT tools in farming. Special emphasis should be given to eliminate gender disparity and resolve small farm holding problem to ensure farm production and income generation.

An Assessment of Informal SMEs Governance Practices: A Case Study of SMEs in Harare CBD.

2021 ◽  
Vol 8 (4) ◽  
pp. 327-338
Author(s):  
Moses Chundu ◽  
Sarah Chimonyo ◽  
David Makwerere
Keyword(s):  
Corporate Governance ◽  
Information Dissemination ◽  
Target Population ◽  
General Information ◽  
Primary Data ◽  
Structured Interviews ◽  
Governance Practices ◽  
Medium Enterprise ◽  
Code Of Corporate Governance ◽  
The Impact

The study sought to assess the impact of implementing governance practices on the performance of Small and Medium Enterprise (SMEs) in the clothing sector operating in Harare’s CBD, Zimbabwe. Primary data was obtained mainly from structured interviews accompanied by questionnaires that sought to gather general information about the respondents. Face to face, verbal interviews were used to collect data during the study. The study made use of a sample that consisted of 100 respondents drawn from the target population using purposive sampling. The research study revealed that firms that implement corporate governance practices are more productive and perform well financially as compared to those that do not implement governance practices. The study also revealed that firms with corporate governance practices have better chances of surviving and acquiring funding for expansion and growth from banks and finance companies. The study concludes that governance practices impact the performance of SMEs operating in Harare’s CBD including their ability to introduce strategic changes. To encourage adoption of corporate governance practices by SMEs, government is encouraged to make the Code of Corporate Governance more relevant to SMEs as well as raising awareness through training and information dissemination.

scholarly journals Women labor participation in rice production in some selected areas of Thakurgaon district

2015 ◽  
Vol 2 (2) ◽  
pp. 239-246
Author(s):  
Asha Roy ◽  
Dilshad Zahan Ethen ◽  
Riffat Ara Zannat Tama ◽  
Ismat Ara Begum
Keyword(s):  
Skill Acquisition ◽  
Least Square Method ◽  
Acquisition Training ◽  
Rice Production ◽  
Least Square ◽  
Farm Size ◽  
Labor Participation ◽  
Structured Interviews ◽  
Explanatory Variables ◽  
Participation Of Women

The present study was undertaken to analyze the participation of women labor in rice production activities covering randomly selected 50 rural households of two villages under Ranisonkail Upazila of Thakurgaon district. Data were collected from the selected households using face to face semi-structured interviews during December 2013 to February 2014. The study revealed that in rice production activities the percentage of hiring out days for women were 94.18 and 92.90 in aman and boro seasons, respectively. To determine the effects of the explanatory variables on women labor participation in rice production, Ordinary Least Square method was used. The analysis showed that age of the respondents and total household expenditure were positively related with women participation but negatively related with education, number of male earning members and farm size of the households. The study concludes that education, credit facilities, extension and motivation, need-based training should have the potential to increase women’s participation in farm activities reasonably contributed to household income. Therefore, effective initiatives undertaken by the concerned agencies in improving women’s education, skill acquisition training and access to information could enhance women’s empowerment in order to achieve gender equality and development at all levels in the rural society of Bangladesh.Res. Agric., Livest. Fish.2(2): 239-246, August 2015

scholarly journals Multifactor Productivity of Smallholder Yam Farmers in Ebonyi State, Nigeria

Agricultura ◽  
2019 ◽  
Vol 16 (1-2) ◽  
pp. 19-25
Author(s):  
Kadurumba Chukwuemeka ◽  
◽  
Njoku Ignatius Anayo ◽  
Achi Ogechi ◽  
Keyword(s):  
Transportation Cost ◽  
Sampling Technique ◽  
The State ◽  
Farm Size ◽  
Individual Factor ◽  
Factors Affecting ◽  
Credit Access ◽  
Explanatory Variables ◽  
Multifactor Productivity ◽  
Pests And Diseases

The study analysed the multifactor productivity among smallholder yam farmers in Ebonyi South, Ebonyi North and Ebonyi Central Agricultural zones of the State. The specific objectives were to determine the socio-economic characteristics of the yam farmers in the study area, to analyse the multifactor productivity and scale of production among smallholder yam farmers, to determine the factors affecting multifactor productivity among smallholder yam farmers and identify constraints of increased yam production in the study area. Two-stage random sampling technique was used to select one hundred and twenty (120) yam farmers from areas of intense yam cultivation in the three zones. Cobb-Douglas production function was used to analyse individual factor productivity and scale of production in yam enterprise. The results revealed that coefficient of farm size, hired labour, household size and planting materials, would reduce multifactor productivity of yam farms by 8.6 %, 1.05 %, 2.2 % and 0.45 %, respectively. The results also showed that 10 % increase in age, income, credit access and experience would increase multifactor productivity of yam farms by 0.071 %, 0.133 %, 0.543 % and 0.139 %, respectively. The R2 values of 0.864 implies that about 86 % of variations in multifactor productivity in yam enterprises are explained by the explanatory variables in the model. The problems identified include inadequate land, finance, high transportation cost, hired labour, pests and diseases, bad infrastructure, network, inadequate storage facilities, etc. The results of the study expressed the need of active policies aimed at intensifying extension services, encouraging farm mechanization and provision of credits at subsidized rate in the state.

scholarly journals Economics of pears production in Himachal Pradesh a study of Jubbal and Kotkhai block of district Shimla

2020 ◽  
Vol 11 (2) ◽  
pp. 248-254
Author(s):  
Sikander Kumar ◽  
Vishal Chauhan
Keyword(s):  
Crop Production ◽  
Resource Efficiency ◽  
Farm Size ◽  
Input Output ◽  
Small Farm ◽  
Farm Production ◽  
Resource Endowment ◽  
Human Labour ◽  
Factor Inputs ◽  
Douglas Production Function

Farm production is the result of the transformation of various resources such as human labour, bullock power, mechanical power, water for irrigation, seeds, manures and fertilizers, insecticides and pesticides and cultivation practices, etc. As these all factor inputs are costly and scarce, the case for their efficient use is self-evident. Moreover, farm resource endowment and the extent of their use on farms has a direct bearing in determining the overall level of crop production. Therefore, it is necessary to study the extent and magnitude of various farm endowments prevailing on farms in different size classes in the study area.The study was conducted at Jubbal and Kotkhai block of district Shimla from where sample of 200 farmers of different holdings were collected to understand the input-output relationship for pears production and was analyized with the Cobb-Douglas production function. From the study we tried to understand the resource efficiency by calculating the elasticity co-efficient of different inputs (labour man-days, land, manures and fertilizers, seeds and others) with regards tooutput and, therefore, determining the economics of scales of fruit.We have found that land, labour, manures and fertilizersinputs are influencing the pears production across all farm size however, small farm size resource efficiency is good as compare to other farm holdings.

scholarly journals Determinants of Rice Productivity: An Analysis of Jaffarabad District –Balochistan (Pakistan)

2016 ◽  
Vol 12 (13) ◽  
pp. 41 ◽  
Author(s):  
Sarfaraz Ahmed Shaikh ◽  
Ouyang Hongbing ◽  
Khalid Khan ◽  
Masood Ahmed
Keyword(s):  
Agricultural Production ◽  
Empirical Work ◽  
Least Square ◽  
Farm Size ◽  
Primary Data ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Labor Education ◽  
New Methods ◽  
Positive Effect

This study examines the determinants of rice production in the district of Jaffarabad in Balochistan using primary data. The data is collected with the help of well-developed questionnaire based on random sampling from the different tehsils of Jaffarabad district. In this study, we estimated the parameters of the Neo-classical and Cobb-Douglas production function with the help of ordinary least square (OLS) method. The results of this empirical work show that with the exception of experience of farmers and high cost of the inputs, all explanatory variables i.e. capital, labor, education of the farmers, availability of credit and farm size have a positive effect on rice output. Therefore, government is recommended to encourage farmers to use fertilizers and new methods in agricultural production and watering, and provide them with convenient loans at low interest rate.

WISATA BAHARI PADA ZONA PEMANFAATAN TAMAN NASIONAL MANUSELA: POTENSI DAN FAKTOR PENGARUH PENGEMBANGAN

2018 ◽  
Vol 2 (2) ◽  
pp. 66-73
Author(s):  
Ivonne R. G. Kaya ◽  
Fildo De Lima
Keyword(s):  
National Park ◽  
Point Of View ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Tourist Attractions ◽  
Income Sources ◽  
Economic Progress ◽  
Key Driver ◽  
Tourism Attractions ◽  
Depth Interviews

Tourism has become one of the major players in ‎international commerce and represents one of the main income ‎sources for many developing countries at the same time. These dynamics have turned tourism into a key driver for socio-‎economic progress.‎ This article described the potential of tourism attraction and factor affecting the development of marine tourism area in the utilization zone of Manusela National Park. Semi-structured interviews, in-depth interviews and participant observations were conducted with respondent (n=110) in Bellarizky, Air Belanda, Ora Beach and Lizar Bahari resort. The potential of tourist attractions in the utilization zone of Manusela National Park is as a snorkeling, diving and point of view. Factors affecting the development are service, transportation, supporting facilities and tourism attractions.

scholarly journals Factors Affecting Adaptation to Climate Change through Agroforestry in Kenya

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi
Keyword(s):  
Climate Change ◽  
Total Yield ◽  
Policy Formulation ◽  
Farm Size ◽  
Farm Income ◽  
Adaptation To Climate Change ◽  
Maize Crop ◽  
Factors Affecting ◽  
Agroforestry Technology ◽  
Agroforestry Technologies

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.

scholarly journals Identifying Risk Factors Affecting the Usage of Digital and Social Media: A Preliminary Qualitative Study in the Dental Profession and Dental Education

2021 ◽  
Vol 9 (5) ◽  
pp. 53
Author(s):  
Rayan Sharka ◽  
Jonathan P. San Diego ◽  
Melanie Nasseripour ◽  
Avijit Banerjee
Keyword(s):  
Risk Factors ◽  
Qualitative Study ◽  
Perceived Risk ◽  
Dental Education ◽  
Dental Students ◽  
General Context ◽  
Structured Interviews ◽  
Factors Affecting ◽  
The Uk ◽  
Dental Professionals

Aims: This study aimed to identify the risk factors of using DSM to provide an insight into the inherent implications this has on dental professionals in practice and trainee professionals’ education. Materials and methods: Twenty-one participants (10 dental professionals and 11 undergraduate and postgraduate dental students) participated in this qualitative study using semi-structured interviews in a dental school in the UK. The interviews were analysed and categorised into themes, some of which were identified from previous literature (e.g., privacy and psychological risks) and others emerged from the data (e.g., deceptive and misleading information). Results: The thematic analysis of interview transcripts identified nine perceived risk themes. Three themes were associated with the use of DSM in the general context, and six themes were related to the use of DSM in professional and education context. Conclusions: This study provided evidence to understand the risk factors of using DSM in dental education and the profession, but the magnitude of these risks on the uptake and usefulness of DSM needs to be assessed.

Analysis of Single-Vehicle Crash Injury Severities in Urban River-Crossing Road Tunnels

2015 ◽  
Vol 743 ◽  
pp. 526-532 ◽  
Author(s):  
C.M. Jiang ◽  
J.J. Lu ◽  
L.J. Lu
Keyword(s):  
Heavy Vehicles ◽  
Probit Regression ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Urban Road ◽  
Road Tunnels ◽  
Negative Effect ◽  
Single Vehicle ◽  
Injury Severities ◽  
One Year

Based on the originally unprocessed data from the Official Platform of“110”Alarming Receiving Center (OP110ARC) of Shanghai Public Security Bureau (SPSB), 529 single-vehicle crashes reported during one year and a half which happened at the thirteen urban road tunnels going across the Huangpu River are used in this study. To investigate the factors affecting the crash influence severity levels, ordered probit regression is established. Several categories of factors are considered as explanatory variables in the models. The study finds that the entrance of the tunnels is the site where severe injury crashes trend to occur. Rainy and snowy days impose vehicles and motorists driving via the tunnel sections in danger. Tunnels with a low speed limit (40 km/h in this study) may be not as safe as we thought before. Two-wheel vehicles without sufficient physical protection for its drivers and heavy vehicles also show a negative effect on the operation safety of single-vehicle at these studied tunnels. Alcohol involved drivers are more likely to suffer from a severe crashes and gets badly hurt.

scholarly journals Adoption of Improved Mungbean Production Technologies in Selected East African Countries

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 528
Author(s):  
Frank Mmbando ◽  
Emmanuel Mbeyagala ◽  
Papias Binagwa ◽  
Rael Karimi ◽  
Hellen Opie ◽  
...  
Keyword(s):  
Information Dissemination ◽  
Smallholder Farmers ◽  
Women Farmers ◽  
Farm Size ◽  
East African ◽  
African Countries ◽  
Household Asset ◽  
Access To Credit ◽  
Household Assets ◽  
Production Technologies

This study analyzes the factors that influence the probability and extent of the adoption of mungbean production technologies in Tanzania, Kenya and Uganda, using multivariate probit and Poisson regression models. The results show that the probability and extent of the adoption of mungbean production technologies are influenced by gender of the household, household size, farm size, livestock size, household assets, access to extension services and access to credit. The study suggests that policy interventions that aimed at targeting women farmers, increasing household asset and information dissemination, such as field demonstrations and training programs, are crucial in enhancing technology adoption among smallholder farmers.

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