scholarly journals Comparison of Farmer’s Agriculture Information Channels and Farming Practice in Tanzania

2016 ◽  
Vol 4 (2) ◽  
pp. 34
Author(s):  
Dr. Peter Josephat ◽  
Ahmed Ame
Keyword(s):  
Agricultural Sector ◽  
Investment Project ◽  
Sampling Technique ◽  
Evaluation Methods ◽  
Corn Yield ◽  
Farming Practices ◽  
Ecological Zone ◽  
Farmer Field School ◽  
Field School ◽  
The Impact

There are mixed empirical evidences on the effectiveness of Farmer Field School (FFS). The evidences on various studies vary because of the setting, evaluation methods and yardstick used. This paper aims to investigate the impact of District Agricultural Sector Investment Project (DASIP) on knowledge and productivity. The study was conducted in the area where (DASIP) operated. This covered five regions namely Kagera, Mwanza, Mara, Simiyu and Kigoma. Within those regions, the study focused on agro-ecological zone where corn was cultivated. The data was collected from 878 farmers out of 971, who were targeted. Among them, 359 were participant and 519 were non-participant farmers. This study employed a five-stage sampling technique. The findings show that the effects of DASIP on participating farmers are very little as they resemble non-participating farmers in terms of knowledge and farming practices. Despite that, non-participating farmers are 8.724 times the odds of corn yield not to increase compared to participating farmers. Based on findings, it may recommended that, agriculture programmes should run smoothly by providing technical and financial commitment to improve the performance of extension officers.

Farm households’ perception on climate change and adaptation practices

2017 ◽  
Vol 9 (4) ◽  
pp. 433-445 ◽  
Author(s):  
Binaya Joshi ◽  
Weihong Ji ◽  
Narayan Babu Joshi
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agricultural Sector ◽  
Sampling Technique ◽  
Potato Production ◽  
Farming System ◽  
Adaptation Strategies ◽  
Agricultural Activity ◽  
Content Type ◽  
The Impact

Purpose This paper aims to assess the farming community’s perception on important parameters of climate change and identify major practices and technologies adopted to mitigate the impacts of climate change and their determinants in mountain district of Nepal. Being an agrarian economy and dependent on monsoon rain, the impact of climate change on agricultural productivity and production has been experienced. Different adaptation strategies have been adopted by the communities to cope with the consequences of climate change. Design/methodology/approach Four village development committees (VDCs) situated in the buffer zone of Langtang National Park of Rasuwa district representing rice, wheat, maize and potato production area was purposively selected for this study. A two-stage sampling technique was adopted for data and information collection. Thirty households from each VDC were randomly selected. Data on the socio-economic and climate change perception were collected using structured questionnaire. A binary logistic regression technique was used to identify the determinants of climate change adaptation technologies and practices. Findings The farmers’ decisions whether to adopt climate change adaptation technologies are governed by the size of landholding, perceived threat of climate change to food security, education level and gender of the interviewee, perception on the increased incidence of droughts during rainy season and income received from the off-farm sources. In a community where agricultural activity is the dominant means of living, adaptive strategies help to increase the capacity of a farming system to survive external shocks and cope with the consequences. Originality/value The assessment of farm-level adaptation strategies and factors influencing their adoption decision is important to formulate policies and design programs. This will also help to recognize adaptation as a tool for managing a variety of risks associated with climate change in agricultural sector.

scholarly journals The Impacts of Farmer Field School Training on Knowledge and Farm Technology Adoption: Evidence from Smallholder Maize Farmers in Oromia, Ethiopia

2016 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Admassu Tesso Huluka ◽  
Workneh Negatu
Keyword(s):  
Technology Adoption ◽  
Evaluation Method ◽  
Smallholder Farmers ◽  
Descriptive Analysis ◽  
Enabling Factors ◽  
Farmer Field School ◽  
Field School ◽  
Ethiopian Government ◽  
Complementary Inputs ◽  
The Impact

<p><em>This study examines the impact of Farmer Field School (FFS) training program on farmers’ knowledge and farm technology adoption. The FFS program was sponsored by the Ethiopian government and launched in 2010. The study aims to compare the impact of the training on knowledge and agricultural technology adoption of those FFS graduate and non-FFS graduate maize farmers in Oromia, Ethiopia. For this, data was collected in 2013 from 446 randomly selected households of three districts consisting of 218 FFS graduate farmers and 228 non-FFS graduate farmers. The analytical procedure has involved two stages: in the first stage, descriptive analysis was used to detect existence of difference in the household and farm characteristics of the two groups of farmers. In the second stage, a semi-parametric impact evaluation method of propensity score matching with several matching algorithms was employed to estimate the program impacts. The result reveals that although FFS graduate farmers have relatively higher knowledge test score than the non-FFS gradate farmers, farm technology adoption index of the later farmer group exceeds the former groups. This finding suggests that there is no necessarily linear relationship between increased knowledge and increased technology adoption. This further implies that the mental attitude of the smallholder farmers in study area is not actually shaped by misconceptions of technology as claimed by the Ethiopian government, but rather because of their firm understanding of what works and does not work according to their own realities. The policy implication of this finding is that knowledge can be translated into practices if a set of enabling factors and conditions exist. These factors including farmers’ positive perception of the technology benefits, access to complementary inputs, availability of crop insurance scheme, arrangement of credit facilities and favorable output markets as incentive for adopting full technologies.</em><em></em></p>

scholarly journals The effect of investment risks on stock return in the agricultural sector

2021 ◽  
Vol 10 (6) ◽  
pp. 189-197
Author(s):  
Ali Sadikin ◽  
Fahmi Roy Dalimunthe
Keyword(s):  
Stock Returns ◽  
Agricultural Sector ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sampling Technique ◽  
Interest Rate Risk ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Positive Direction ◽  
The Impact

This study purposes to determine the impact of risks of investment on stock returns of the agricultural sector in wetlands listed on the IDX for the period 2016-2019. This study uses secondary data while the analysis tool uses multiple linear regression (SPSS 21). The research population is 21 companies and the sample is 17 companies. The research sampling technique uses purposive sampling. The object of research is the agricultural sector which is listed on the Indonesia Stock Exchange for the period 2016 to 2019. This study also uses some classical assumptions. Testing the research hypothesis was done by t-test (partial test) and the coefficient of determination test. The results of the study are that 2 independent variables have a significant effect, namely interest rate risk (X1) in a positive direction and exchange risk in a negative direction, while liquidity risk and inflation risk have no significant effect with negative and positive directions on stock returns of the agricultural sector listed on the IDX for the period 2016-2019. The result of the research determination coefficient is 15.1%.

scholarly journals Service Quality and Interest Impact on Satisfaction and Loyalty of Agro Tourism Visitors

2021 ◽  
Vol 748 (1) ◽  
pp. 012041
Author(s):  
Sri Ayu Andayani ◽  
Sri Umyati ◽  
Umar Dani ◽  
Arjon Turnip
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Agricultural Sector ◽  
Sampling Technique ◽  
Service Performance ◽  
Equation Modeling ◽  
Survey Method ◽  
Good Service ◽  
Visitor Satisfaction ◽  
The Impact

Abstract The agricultural sector is one of the opportunities for improving the economy of local communities. Opportunities will be a challenge for agro-tourism managers in their development. The purpose of this study was to determine the impact of service quality and importance on visitor satisfaction and loyalty. The research method used is a survey method and research sampling using incidental sampling technique to 127 tourists who come to visit. Furthermore, the data is processed using the Structural Equation Modeling (SEM) method with the support of Amos SPSS Version 24. The results show that good service performance can significantly increase visitor satisfaction by 44%. However, it is inversely proportional to the effect of service performance on consumer loyalty directly. Improved service performance can lower visitor loyalty rates by 48%. In addition, increased satisfaction can also have a significant effect on visitor loyalty by 111%. In contrast to service performance and satisfaction, interests do not have a significant effect on visitor satisfaction or loyalty. So that the presence or absence of complete facilities at the research location does not guarantee that visitors will feel significant satisfaction and loyalty.

scholarly journals Transforming Agriculture and Tea Garden: The Impact on Farm Women Engagement

2020 ◽  
pp. 85-92
Author(s):  
Monirul Haque ◽  
S. K. Acharya ◽  
Kabita Mondal
Keyword(s):  
Multivariate Analysis ◽  
Random Sampling ◽  
Numerical Data ◽  
Sampling Technique ◽  
Women Farmers ◽  
Farming Practices ◽  
Exogenous Variables ◽  
Transformational Process ◽  
Tea Garden ◽  
The Impact

Aims: To study the relationship between the women farmers' engagement in the transformed tea gardens from conventional farming practices with various socio-economic exogenous variables, their socio-economic condition, economic vulnerability, and empowerment. Study Design:  The locale was selected by the purposive sampling technique and the respondents following such transformation in their farming practices are selected by the random sampling method. Place and Duration of Study: The study was carried out during the year of 2018-19. The place, three blocks namely Falakata Block, Madarihat Block, and Alipurduar-1 of Alipurduar District of West Bengal of India were selected for the study. Methodology: In this present study sixty respondents following such transformation in their farming practices have been selected by both purposive and random sampling techniques to study the farm women's engagement in transformed tea gardens as the consequent character in terms of various exogenous variables. Then the numerical data is collected, passed through the data normalization process, and then put them into multivariate analysis. The gathered data had been put into multivariate analysis (Statistical Package for the Social Sciences V20.0 (SPSS) of IBM and OPSTAT were used for analyzing the Coefficient of Correlation, Stepwise Regression, and Path Analysis). Results: The study reveals that the mean change in land under cultivation (x6), mean change in average garden size (x7), mean change in total income (x8) and ratio of pesticides use (x10) variables have been found to exert strong and determining the contribution to this transformational process. Conclusion: The study had revealed the emergence of small tea gardens help in the empowerment of the women as well as increasing the demand of women labours in the transformed farming sector, which improve the overall status of the tea garden workers.

scholarly journals Co-constructing principles for Digital Farmer Field School Enrekang Design in South Sulawesi - Indonesia

2021 ◽  
Vol 306 ◽  
pp. 03013
Author(s):  
Nurdahalia Lairing ◽  
Loes Witteveen ◽  
Yunus Busa ◽  
Arsil Bagenda ◽  
Mursalim Bagenda ◽  
...  
Keyword(s):  
Agricultural Sector ◽  
Design Principles ◽  
Responsible Innovation ◽  
Problem Analysis ◽  
Digital Learning ◽  
Farmer Field School ◽  
Learning Platform ◽  
Field School ◽  
Team Design ◽  
Learning Principles

Considering the challenges on sustainable agriculture in the district, different institutions join hands to overcome these issues and respond to the felt need of working more integrative both in the agricultural sector and environmental knowledge system. Adding a sense of urgency due to COVID-19 into problem analysis, these institutions accelerated the ambition to develop a Digital Farmer Field School (DFFS). This paper elaborates on the co-construction of principles for the design of a Digital Farmer Field School (DFFS) by the local stakeholders in Enrekang district. The local design team design of the DFFS Enrekang is composed of a transdisciplinary team from relevant government institutions and research institutions. The design principles of DFFS are built around inclusive design principles, concepts of interface usability based on different type of access to digital technology models, responsible innovation criteria and learning principles of farmer field school (FFS). The DFFS Enrekang design principles serve as guiding principles and shared value among the collaborating institutions to combine ambition, inspiration, and accountability in the DFFS management and development processes. This tablet based digital learning platform aims to provide an alternative for farmers to access information on sustainable agricultural and environmental practices.

scholarly journals “A farmer’s time is expensive”: A qualitative study exploring the knowledge attitudes and perceptions of farmers regrading health and safety in Northern Ireland

2020 ◽  
Vol 14 (1) ◽  
pp. 40-53
Author(s):  
Aoife Girvan ◽  
Graeme Mitchell
Keyword(s):  
Northern Ireland ◽  
Time Management ◽  
Agricultural Sector ◽  
Health And Safety ◽  
Cost Benefit ◽  
Sampling Technique ◽  
Snowball Sampling ◽  
Structured Interviews ◽  
Value Judgements ◽  
The Impact

Abstract The agricultural sector is important to Northern Ireland (NI) as it accounts for almost 10% of all jobs and 75% of all land usage. Despite a reduction in fatalities in other sectors, the number of fatalities in the agricultural sector in NI has remained stubbornly consistent. This research looked to use qualitative data to explore the knowledge, attitudes, perceptions and factors that influence health and safety measures and controls. Using a snowball sampling technique, a number of semi structure interviews were undertaken with participants to explore these areas. The findings of these semi-structured interviews identified six key themes: the importance of health and safety; the impact of poor health and safety; different generational attitudes; fear; time management and finance. This revealed that although participants feel they have some level of knowledge around health and safety, they felt this was lacking. However, a lack of knowledge did not mean they were unaware of the importance of health and safety and its potential impacts, although they perceived that farmers of a different generation to themselves were more at risk. Participants also indicated they were willing to make value judgements, where the need for action and cost of health and safety outweighs the importance implementing appropriate measures and control. Therefore, despite understanding the importance of health and safety, until the cost benefit equation is rebalanced for farmers in NI they still face significant risks to their health and safety.

Adaptation Needs and Countermeasures of China’s Agricultural Sector in Response to Climate Change

2016 ◽  
Vol 13 (10) ◽  
pp. 7738-7744
Author(s):  
Chen Chunyang ◽  
Wang Fang
Keyword(s):  
Climate Change ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Fuzzy Inference ◽  
Formal Model ◽  
Fuzzy Model ◽  
Corn Yield ◽  
Ts Fuzzy Model ◽  
Targeted Analysis ◽  
The Impact

China’s agricultural production will be greatly impacted by the climate change, and in order to accurately evaluate the impact degree of the climate change on China’s corn yield, this paper proposes an analytical method of impact of climate change on China’s corn yield based on numerical predication of fuzzy inference. Firstly, this paper provides research region and data description and the condition of data sources of this experiment and provides its regressive formal model at the same time; secondly, proposes a kind of numerical predication method of fuzzy inference and realizes the valid predication of climate change with the use of improved TS fuzzy model for improving the accuracy of climate change predication; finally, evaluates the impact on China’s corn yield and makes targeted analysis through the experiment.

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