Department of Humanities
Permanent URI for this collectionhttps://repository.chuka.ac.ke/handle/chuka/261
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Item CDEV 00150: RESEARCH METHODS(0023-04-13) CHUKA UNIVERSITYItem CDEV 0141: PRINCIPLES OF DISASTER MANAGEMENT(0023-04-13) CHUKA UNIVERSITYItem CDEV 0205: NETWORKING, LOBBYING AND ADVOCACY(CHUKA UNIVERSITY, 2023-11-04) CHUKA UNIVERSITYItem CDEV 212: COMMUNITY RESOURCE MANAGEMENT(CHUKA UNIVERSITY, 2023-08-28) CHUKA UNIVERSITYItem CDEV 222: COMMUNITY ORGANIZATION(CHUKA UNIVERSITY, 2023-04-12) CHUKA UNIVERSITYItem CDEV 224: COLLECTIVE MOVEMENTS IN COMMUNITIES(CHUKA UNIVERSITY, 2023-04-13) CHUKA UNIVERSITYItem CDEV 225: GROUP DYNAMICS(CHUKA UNIVERSITY, 2023-08-03) CHUKA UNIVERSITYItem CDEV 253: ECONOMIC PLANNING DEVELOPMENT(CHUKA UNIVERSITY, 2023-04-13) CHUKA UNIVERSITYItem CDEV 301: SOCIOLOGICAL THEORY I(CHUKA UNIVERSITY, 2023-04-11) CHUKA UNIVERSITYItem DISTRIBUTION AND IMPACT OF QUARRY STONE MINING ON ENVIRONMENT AND SOCIAL ECONOMIC ACTIVITIES IN IGEMBE SOUTH SUB COUNTY MERU COUNTY, KENYA(Chuka University, 2023-10) MURIKI JOSEPH GITONGAMining is considered one of the essential economic activities contributing to economic progress. Authorities, the general public, stakeholder organizations, and individuals have all expressed concern about the spatial distribution, social, economic, and environmental impacts of mining on affected areas. The study examined Meru County's spatial distribution and social, economic, and ecological impacts on the residents. Cultures are diversifying in a way that mining is becoming an alternative source of income. Agriculture is still being practiced alongside mining. The general objective of this study was to develop a GIS-based spatial distribution of mining site patterns and associated impact zonation map in order to identify risk prone geo-locations in Meru County's Igembe South Sub County. The study also determined the impact of quarry stones on Meru County settlements regarding social, economic, and environmental factors. At a 0.05 level of significance, three hypotheses were evaluated. Ho1: There is no significant spatial distribution of quarry stone mining sites in Igembe South Sub County, Meru County. Ho2: There is no significant relationship between quarry stone mining and social-economic activities in Igembe South Sub County, Meru County communities. Quarry stone mining has no significant environmental impact on the communities in Igembe South Sub-County, Meru County. Other Kenyan counties were not included in the research. Data was gathered from five Igembe South communities. Data was collected from primary and secondary sources. Using PRA methodologies and processes, primary data was collected from participants' notes to detect mining-related problems in the study area, and an informal and formal survey and pair-wise assessment was used. The communities and mines in the Akachiu ward are as follows: Auki, Amwamba, Nceme, Kirindine, and Tiira. Information was obtained from 300 respondents through surveys and interviews. Data gathering was limited by prejudice and reluctance to respond to specific questions. Some of these issues were resolved by segmenting the target population and confirming field observations. Data were analysed using the nearest neighbour analysis method and descriptive means, median, and mode statistics. Further Chi-Square tests were used to generate inferential statistics. Results were then presented using tables, maps, graphs, and pie charts. Results established that mining activities have damaged land in Igembe South Sub-County, reducing food production and agricultural demands and polluting water supplies in the area, including contaminated streams. Pollution and noise are present in the area. It was affirmed that the residents know the environmental consequences of mining. The research demonstrates that mining has an impact on the environment, as well as community social and economic well-being. In light of the County Government of Meru's efforts at restoration and intervention, such as re-afforestation, the mining companies and the County Government of Meru are reviewing their methods of operation and providing alternatives to the affected areas. Mining's environmental impact should be reduced by rethinking the environmental management strategy.Item ECDE 0145: DEVELOPMENT PSYCHOLOGY(CHUKA UNIVERSITY, 2023-04-13) CHUKA UNIVERSITYItem ECDE 417: RESEARCH METHODS IN CHILD AND FAMILY STUDIES(CHUKA UNIVERSITY, 2023-08-30) CHUKA UNIVERSITYItem ECDE 445: GUIDANCE AND COUNSELIING(CHUKA UNIVERSITY, 2023-04-13) CHUKA UNIVERSITYItem ECDI 312: COMPETENCE BASED CURRICULUM CONCEPTS(CHUKA UNIVERSITY, 2023-04-13) CHUKA UNIVERSITYItem EDCI 332: HISTORY AND GOVERNEMNT SUBJECT METHODS(CHUKA UNIVERSITY, 2023-04-12) CHUKA UNIVERSITYItem EDCI 336: ENGLISH LANGAUGE SUBJECT METHODS(CHUKA UNIVERSITY, 2023-04-27) CHUKA UNIVERSITYItem EDCI 411: TEACHER EDUCATION(CHUKA UNIVERSITY, 2023-04-13) CHUKA UNIVERSITYItem EDFO 211: PHILOSOPHY OF EDUCATION(CHUKA UNIVERSITY, 2023-08-29) CHUKA UNIVERSITYItem EFFECT OF HUMAN CAPITAL INVESTMENT ON INCOME INEQUALITY IN KENYA(Chuka University, 2023-06) ADAN MULI ABDIItem EFFECT OF SELECTED SOCIO-ECONOMIC FACTORS ON ADOPTION OF INDIGENOUS AGRICULTURAL PRACTICES IN CHUKA SUB-COUNTY, KENYA(Chuka University, 2020-12) OOGA, DENNIS MONG’AREIndigenous agricultural practices (IAPs) are environmentally and agriculturally sustainable. Among the widely applied IAPs include crop rotation, agroforestry, intercropping, organic manure application, and minimum tillage. A lot of research has been conducted to reveal the determinants of adoption levels of modern technologies among smallholder farmers. However, little literature exists relating to the effect of socio-economic factors on the adoption levels of IAPs in Kenya. Therefore, the purpose of the study was to determine the effect of farm characteristics, access to credit, and access to advisory services on the adoption levels of IAPs in Chuka sub-county. A descriptive correlational design was utilized to collect and analyze data. The study targeted a population of 22,400 smallholder farmers involving a sample of 100 participants. Cluster sampling technique was applied to select farmers from three clusters; Mugwe, Karingani, and Magumoni Wards. A semi-structured questionnaire was utilized as a data collection tool. A pilot study was conducted in Muthambi Ward to generate data which aided in the checking and improvement of validity of the research instrument. Reliability of the research instrument items was estimated through Cronbach alpha coefficients. The alpha values of the variables were: adoption of IAPs (α = 0.68), both farm income and land tenure (α = 0.84), access to credit (α = 0.66) while that of access to advisory services was 0.89. Statistical package for social sciences (SPSS. V.22) was applied to generate both inferential (simple Pearson correlation and multiple linear regression) and descriptive (frequency, percentage, mean, median, and standard deviation) statistics for analyzing data. The findings indicated that there was a substantial, positive significant effect of land tenure and access to advisory services on the adoption of IAPs (p = 0.01). Farm income had a negative, significant effect on the adoption of IAPs (p = 0.01) while that of access to credit was positive, though statistically significantly, was weak (p = 0.01). Farm income and land tenure jointly accounted for 30% of the variation in the adoption level of IAPs. The adoption level of IAPs was still moderate given the low frequency of application by many smallholder farmers. Therefore, the study recommended that the county government and the ministry of agriculture should give sufficient support to agricultural extension programs, strengthen land tenure systems, sensitize farmers on the importance of IAPs, and make credits more accessible to farmers so as to increase the adoption of IAPs.
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