<p>The Morokweng impact structure which is located in the North West province of South Africa, has attracted attention as a potential host for Ni-PGE mineralization. Geochemical exploration techniques using hydroxylamine partial extraction were used to determine the nature and source of surface geochemical anomalies known to occur in the overlying aeolian sang regolith. About 40 aeolian samples were taken from an area of about 35 square kilometer, located in the north eastern sector of the Morokweng impact structure. The samples were sieved to various grain size fractions and partially extracted using varying concentration of hydroxylamine hydrochloride at 50&deg / C.</p>

Thesis (MTech. degree in Nature Conservation)--Tshwane University of Technology, 2011. / The study was conducted on the Botsalano Game Reserve with the support of the North West Tourism and Parks Agency. No formal management plan is available for the game reserve and therefore the need for an ecological management plan and guidelines for the formulation of a vegetation monitoring plan constituted the basis of the study. The objectives of the study were: 1. To classify and map the plant communities of the Botsalano Game Reserve; 2. To provide quantitative data, collected during a formal vegetation classification, for use by the reserve management in terms of current vegetation condition; 3. To ascertain whether a classification of the vegetation on the BGR could be used for the objective placement of vegetation monitoring sites. Monitoring site placement will be based on representation of plant communities, reflecting community and topographical unit utilization and thus stocking rates based on management decisions.

The main objective of the study was to investigate the causes underlining small-farmers default on bank loan repayments in the North West Province. One hundred and sixty farmers were randomly selected to be part of the sample. Questionnaires were issued to both farmers and bank officials. Descriptive statistics, correlation and regression models were used to analyse the data. The overall results indicate that most of the small farmers are in the old age category (58 years on average) with very low educational level. This scenario poses a challenge to the stakeholders in agriculture specifically the succession plan to these elderly people when they leave agriculture due to retirement. It was revealed by the study that the farmers do not keep either financial or production records. The analysis shows that the small farmers lack skills in financial management therefore, they are unable to execute the prerequisite to modern farming which are literacy and numeracy as indicated by Woohall et. al.,( 1985). Most of the respondents have outstanding debt from Agribank yet they received loans from Landbank. Because of their low production and other many responsibilities, they are unable to repay loan instalments thus leading to loan default to their current financial supplier, which is Landbank. Lack of monitoring of loan funds was identified as one of the causes of the farmers Joan default. The analysis also indicates that the small farmers have access to finance but the major problem is lack of financial management skills, more involvement in household responsibilities, and lack of technical assistance from relevant stakeholders like extension officers and project managers from the bank or from the Department of Agriculture. Since the Land bank have no field officers to assist the farmers, it is recommended that the bank should have field officers to assist farmers in their business, especially with production, marketing, financial management and farm management Skills. The inability of the farmers to access good value markets for their products was identified as one of the problems, which led to loan default because the farmers are unable to market their products at the right time for good value in excess of their cost. It is recommended that financial institutions should assist their clients to access better markets for their products for better price which will in turn give them better income in order to repay their loans. / M.Sc. (Agric. Economics) North-West University, Mafikeng Campus, 2005

The research aimed at assessing the extent to which the provincial Government's development programmes are succeeding in reducing regional unemployment. The research focused on the North West Province Central District, which is the second largest of the four districts. It comprises of 5 Municipalities of Mafikeng, Ditsobotla, Setlakgobi, Tswaing and Zeerust. The objectives of the research were to determine: Assess the extent of unemployment. poverty and development status of each of the municipal areas falling within the central region. To assess the prevalence of unemployment in the study area with a specific focus on providing analysis of socio-economic development trends. To development programmes aimed at eradicating poverty in the province especially in the Central District. To evaluate the extent to which government development policies programmes and projects are succeeding in curbing the increasing of unemployment and underdevelopment in the region. From the information gathered, the following results or findings were discovered: The challenges of poverty and unemployment cannot be dealt with by the current approach from the provincial government's planning processes, which tend to focus more on smaller projects than large- scales projects. The current level of migration of people from rural to urban areas seems to be a viable option for most people caught in poverty and under-development in the rural areas. Most people have moved out of the central district to look for jobs outside the region. The majority of the funded projects are too small to make any noticeable impact on the major challenges facing the province. The majority of the proposed projects directly initiated by the provincial government have not taken off the ground. / (MBA) North-West University, Mafikeng campus, 2006

<p>The Morokweng impact structure which is located in the North West province of South Africa, has attracted attention as a potential host for Ni-PGE mineralization. Geochemical exploration techniques using hydroxylamine partial extraction were used to determine the nature and source of surface geochemical anomalies known to occur in the overlying aeolian sang regolith. About 40 aeolian samples were taken from an area of about 35 square kilometer, located in the north eastern sector of the Morokweng impact structure. The samples were sieved to various grain size fractions and partially extracted using varying concentration of hydroxylamine hydrochloride at 50&deg / C.</p>

Since the advent of democracy in 1994 South Africa has been faced with the shortage of skilled people and this is caused, amongst other things, by the inadequacy of the outdated National Education Programmes for Technical Colleges (NATED) and later referred to as the N-programmes. To address the problem, the former Department of Education (DoE) developed new programmes called the National Certificate Vocational NC (V) for the students of the Further Education and Training colleges (FETs), which were renamed the Technical Vocational Educational and Training Colleges (TVET). The TVET programmes were implemented with the collaboration of industry and other stakeholders who were involved when the NC (V) programmes were developed to ensure their buy-in. Despite all these efforts, Magnus et al. (2013) are of the view that the vocationally-oriented NC (V) programmes offered at colleges are not useful, work-focused and flexible, as a result some leading employers reject the products of the programmes. Returning to the global debate, Lewis (2009) contends that failure of vocational programmes anywhere ought not to be taken as an indictment of vocationalism. Based on the above scenario, this study surveyed and traced TVET graduates who graduated from 2009 to 2012, to determine the impact of the NC (V) programme on those who decided to either further their studies or be employed. Although the programmes offered by the FET’s are rolled out in various study fields throughout the country, the research was limited to graduates who were enrolled in the following three programmes in the North West Province: building construction, electrical, and engineering related studies. The three mega FET Colleges, composed of more than ten campuses as listed in point 1.2.1, are spread throughout the province, which is regarded to be predominantly rural even though it boasts the biggest hub of mines, especially platinum mines. There is also high concentration of tourism industry as well as agricultural businesses that require a skilled labour force to drive economic activities. An extensive literature review was conducted to appropriately inform the study and to provide a firm basis for the arguments. The NC (V) programmes by their nature and design are closely related to the work of the Sector Education and Training Authorities (SETAs) with respect to the apprenticeships and the learnerships. Factors relating to the research scope, context and the geographical environment were analysed to ensure proper delineation and delimitation of the study since it covered only the North West Province of South Africa. The study used both qualitative and quantitative research methodologies for the collection of data. An interview schedule was used for the collection of the qualitative data from the Colleges, Department of Higher Education and Training, the Sector Education and Training Authorities (SETAs), the Universities of Technologies (UoTs), and the various employer organizations. The questionnaire was applied to collect quantitative data from the graduates because of their large numbers. The use of both methods, the qualitative and quantitative, enhanced the quality of the verification and the validation of the data. The correlational relationship and connection between the NC (V) graduates and their post college destinations was determined. This refers to the correlation between NC (V) graduates and the opportunities seized after their college studies. Charles (1998:11) attests that “although in most cases data for correlation studies are obtained through measurement, at times they come from judgments made by researchers, teachers, or other qualified persons”. In line with this, the researcher presented the findings from the qualitative method in a manner that outlines the opinions and the post college status of the graduates. The findings of the qualitative method provided background knowledge into the NC (V) programmes, the graduates and their destinations, thereby validating the quantitative findings. A work integrated learning framework model is proposed for the enhancement of the FET College curriculum, for the improvement of quality work-placement and for the promotion of partnership amongst the beneficiaries; graduates, employers, colleges and the intermediaries. / Educational Leadership and Management / D. Ed. (Education Management)

M.Cur. / The overall purpose of this study is to describe empowerment strategies for the nurse unit manager to create a climate conducive to clinical learning at the nursing college in the North-West Province. In view of the South African Nursing Council report (1990), it clearly indicates that the nurse unit managers do not apply their theoretical knowledge to clinical practice, and that the student learning in the clinical nursing units are not up to the expected standard, hence the quality of clinical nursing education is questionable. The current education system in South Africa focuses on the provision of quality assurance in order to be in line with international standards. In accordance with the South African Qualifications Authority, the Constitution, South African Nursing Council, Batho-Pele principles, National Plan for Higher Education and outcomes-based education, there is a need to create a climate that is conducive to learning in the nursing units in order to develop the students' abilities regarding analytical, critical, evaluative and creative thinking. The nurse unit manager is experiencing problems with regard to clinical nursing education and the nursing students are also complaining that the clinical learning areas are not conducive to their learning. Therefore, the products that are produced by such an environment lack knowledge, skills, values and attitudes inherent in the nursing profession. Hence this study strives to describe empowerment strategies for the nurse unit manager to create a climate conducive to learning, based on their expert knowledge and experiences. The research questions arising from this problem are: What are the expectations and perceptions of the nursing students about the role of the nurse unit manager in creating a climate conducive to learning at the nursing college in the North-West Province? How can the nurse unit manager be empowered to create a climate conducive to clinical learning? The objectives are: Phase One: Stage one: To explore and describe the expectations of the nursing students regarding the role of the nurse unit manager in creating a climate conducive to learning. Stage two: To explore and describe the expectations and perceptions of the nurse unit manager regarding their role in creating a climate conducive to learning. Phase Two: To describe a conceptual framework. Phase Three: To describe empowerment strategies for the nurse unit manager to create a climate conducive to learning. The research design in this study was qualitative, descriptive, explorative and contextual in nature. In stage one of phase one, descriptive naïve sketches were used as a method of data gathering (Giorgi in Ornery, 1983:52) whereby 22 nursing students from the nursing college were selected for the research study. The following open-ended questions were written on the chalkboard, namely: "What are your expectations about the role of the nurse unit manager in creating the clinical nursing units as a climate conducive to learning?" The data was analysed according to Tesch's descriptive method (in Creswell, 1994:155). An independent coder who was purposively selected was used in the categorisation of data. The researcher held meetings with the independent coder for consensus discussions reached independently. Trustworthiness was ensured as described by Lincoln and Guba's (1985:290-326) model of trustworthiness. In order to ensure the credibility of the study, five nursing students who participated in the study were selected to participate in individual interviews to validate the categories and subcategories. In stage two of phase one, focus group interviews were conducted as a method of data gathering whereby 13 nurse unit managers from the clinical learning areas where the nursing students are placed for their clinical learning experiences were selected by the quota sampling technique. The interview was conducted by a nurse educator with a Master's degree, who is also a psychiatric nurse with expertise and experience in interviewing skills. A tape recorder was utilised with the nurse unit manager's permission to collect data. A follow-up interview with five nurse unit managers was conducted to validate the data gathered during the focus group interview. The following open-ended questions was used to obtain data from the nurse unit manager: "What are your perceptions regarding your role in creating an environment conducive to clinical learning?" "How can you be empowered as part of your role, to create clinical nursing units as climates conducive for clinical teaching and learning for nursing students?" Data was analysed according to Tesch's descriptive method (in Creswell, 1994:155). An independent coder was purposively selected in the categorisation ( iv ) of data. Categories were defined and arranged in table form for both participants in order to arrive at final categories. Trustworthiness was ensured as described by Lincoln and Guba's (1985:290-326) model of trustworthiness. Findings were conceptualised and conclusive statements made through logical deductive, inductive reasoning and inferences. A conceptual framework was developed within Muller's (1998) management process and the legal and professional frameworks. The integrated empowering process was adapted from Muller's management process, Vogt & Murrel's (1990) & Hokanson-Hawks' (1999) empowerment methods. This process comprises planning, organising (providing and structuring), directing (education, leading, mentoring and supporting), and control (actualising). Empowerment strategies for the nurse unit manager were described to create a climate conducive to learning, based on the results of phase one and phase two. Evaluation of the study was done, limitations, recommendations and conclusions were described with regard to nursing education, practice and nursing research.

M.Sc. (Aquatic Health) / The Bojanala Platinum District (BPD) in North West Province (NWP) is a well-established mining and agricultural region of South Africa. These activities result in surface runoffs that are likely to pollute nearby freshwater impoundments, including the Roodekopjes (RD) and Vaalkop Dams (VD). These impoundments support subsistence fishing, where the fish caught, are often the sole source of dietary protein for local communities. The aim of this study was two-fold: firstly, to assess the health status of the fish in these impoundments by (i) conducting a necropsy-based macroscopic evaluation, (ii) calculating appropriate biometric indices, and by (iii) performing a semi-quantitative histology-based fish health assessment (HBFHA) on selected target organs of two freshwater fish species, namely Clarias gariepinus (Sharptooth Catfish) and Cyprinus carpio (Common Carp). Secondly, the edibility (safe for human consumption) of these fish species was to be determined by (i) quantifying the bioaccumulation of selected organic and inorganic toxicants within the muscle of the fish collected and (ii) assessing the resultant potential health risk/s through consumption toward consumers of these fish. In addition, in situ physico-chemical parameters were measured and samples of water and sediment were collected for laboratory analysis at each of the assessed impoundments. Otoliths and scales were also collected for age estimation. Tissue samples for histology were fixed in formalin (liver, kidney & heart) and Bouin’s (gills, gonads & skin) solution and processed for light microscopy analysis using standard histological techniques. Water, sediment and muscle samples were analysed for organic and inorganic toxicants by accredited laboratories using ICP-MS & ICP-OES. Results from the two assessment sites (RD & VD) were assessed against a reference site, the Marico-Bosveld Dam (MBD).

M.Cur. / The entire country is currently in a process of reconstruction that inevitably lead to reconstruction within the health care system. The ANC (African National Congress) formulated a National Health Plan based on primary health care that is a practical expression of providing an effective and equitable health care to all inhabitants of the country. Recognising the need for transformation, a process was initiated by the African National Congress (ANC) to develop an overall National Health Plan based on the Primary Health Care approach (ANC, 1994: 7) . In the light of these present needs, the vision is to develop a strategy to empower our professional nurses that can effectively implement primary health care whilst operating within the limitations of the existing resources (Human Resource Committee for Health, 1994:5). The context of the study is applicable to the Northern Region of the North West Province. There are various courses available to empower professional nurses to primary health care, but for the purpose of the study is the Diploma Course in Clinical Nursing Science, Health Assessment, Treatment and Care described

The aim of the study was to investigate the impact of agricultural infrastructure on agricultural productivity and agricultural income of smallholder farmers in the North West Province, South Africa. Factors that contribute to the availability, accessibility and satisfaction of smallholder farmers with regards to agricultural infrastructure were also assessed in the study. Using cross sectional data from the North West Province of South Africa, one hundred and fifty smallholder farmers were selected using stratified sampling to group farmers into those who had agricultural infrastructure and those who did not have. Data were collected using a structured questionnaire, divided into six sections as follows: personal socio-economic characteristics of farmers; characteristics of the land; agricultural infrastructure of smallholder farmers; agricultural production and markets; and production activities and financial support rendered to farmers. The data were coded, captured and analysed using STATA 14.0. Data were analysed through descriptive analyses, Principal Components Analysis (PCA), Stochastic Frontier Analysis, Heckman selection procedure and Tobit Regression Models. This result revealed that most of the farmers were male, aged between 41 and 60 years of age, had contact with extension services only occasionally and did not engage in non-farming activities. Most of the smallholder farmers had less than 10 years of farming experience, had household sizes of less than or equal to five members, had about one household member assisting in the day-to-day farming activities. Most of the farmers did not belong to any farmer organisation. Generally, the farmers were involved in dry land farming. Farmers who irrigated their farms, did so on approximately 15 and 45 hectares of land. Farmers also received agricultural support from CASP and used commercial seeds, fertilizers and animal vaccines as their production inputs. Furthermore, smallholder farmers in the study area received support for inputs and majority did not have to repay for the inputs. Majority of farmers indicated that infrastructure impacted on their farming enterprises through increases in both productivity and sizes of their farming enterprises. The study found that the factors influencing agricultural income for smallholder farmers with agricultural infrastructure were: Physical infrastructure index (Coef=0.78: P<0.01); Social infrastructure availability index (Coef=0.61: P<0.01); Institutional infrastructure availability index (Coef=1.05: P<0.01); Level of education of farmers (Coef=0.96: P<0.01); Access to extension services (Coef=1.05: P<0.01); Membership of farmers’ organisations (Coef=0.59: P<0.05); Age of smallholder famers in the study area (Coef=0.05: P<0.01); and Household members assisting in farming activities (Coef=0.24: P<0.05). In terms of farmers without agricultural infrastructure available, factors influencing agricultural income were: physical infrastructure availability index (Coef = 0.74; P<0.01); social infrastructure availability index (Coef = 0.77: P<0.01); institutional infrastructure availability index (Coef = 0.61: P<0.01); level of education (Coef = 0.89: P<0.01); access to extension services (Coef=1.24: P<0.01); age of farmers (Coef = 0.06: P<0.01) and assistance of household members in farming enterprises (Coef=0.33: P<0.01). In terms of smallholder farmers with accessible agricultural infrastructure, factors influencing agricultural income were: Physical infrastructure access index (Coef=1.29: P<0.01); Social infrastructure access index (Coef=0.38: P<0.1); Equipment infrastructure access index (Coef=0.62: P<0.01); Level of education for smallholder farmers (Coef=1.21: P<0.01); Access to agricultural extension services (Coef=1.64: P<0.01); Membership of Farmers’ organisations (Coef=0.77: P<0.05); Age of smallholder farmer (Coef=0.01: P<0.01); and Household members assisting in the farming enterprises (Coef=0.39: P<0.01). With regards to smallholder farmers without accessible agricultural infrastructure, factors influencing agricultural income were: Physical infrastructure accessibility index (Coef=0.92, P<0.01); Equipment accessibility index (Coef=0.43, P<0.05); Level of education (Coef=1.25: P<0.01P); access to extension services (Coef = 1.63; P<0.01); membership of farming organisations (Coef = 0.86; p<0.01); age of farmers (Coef= 0.07; P<0.01) and assistance of household members in farming enterprises (Coef = 0.34; P<0.05). In terms of satisfaction of smallholder farmers with agricultural infrastructure, factors influencing agricultural income were: Physical infrastructure satisfaction index (Coef=0.35: P<0.1); Social infrastructure satisfaction index (Coef=0.37: P<0.1); Institutional infrastructure satisfaction index (Coef=1.25: P<0.01); Equipment infrastructure satisfaction index (Coef=1.04: P<0.01); Level of education of respondents (Coef=1.24: P<0.01); Access to extension services (Coef=1.58: P<0.01); Age of smallholder farmers in the study area (Coef=0.05: P<0.01); Number of years farming (Coef = -0.57: P<0.1); and Number of household members assisting in farming (Coef=0.19: P<0.1). The results of the Heckman selection model revealed that the variables impacting on agricultural income were: agricultural infrastructure availability index (Coef=1.12: P<0.01); and access to extension services (Coef=0.62: P<0.05). With regards to farmers not satisfied with agricultural infrastructure, factors influencing agricultural income were: institutional infrastructure satisfaction index (Coef = 0.54: P< 0.05); level of education (Coef=1.25: P<0.01); access to extension services (Coef = 1.77: P<0.01); age of farmers (Coef = 0.06: P<0.01) and assistance of household members in farming enterprises (Coef = 0.34: P<0.01). Furthermore, those impacting on agricultural production were: infrastructure satisfaction index (Coef=-1.31: P<0.01); infrastructure accessibility index (Coef=-0.59: P<0.05); Level of education of smallholder farmers (Coef=0.64: P<0.01); access to extension services (Coef=1.29: P<0.01); and membership of farmers’ organisations (Coef=0.66: P<0.01). The results of the Tobit Regression Model showed that among others factors influencing availability of agricultural infrastructure, the following variables played a critical role: assistance of household members in farming enterprise (Coef=0.702: P<0.01); farm ownership (Coef=0.962: P<0.01); farm acquisition (Coef=0.323: P<0.01) farmer occupation (Coef=0.785: P<0.01); member of farmers’ organisations (Coef=2.066: P<0.01); sources of labour (Coef=1.283: P<0.01); farming experience (Coef=0.100: P<0.01); and agricultural production inputs (Coef=-0.763: P<0.05). In terms of accessibility to agricultural infrastructure, the following variables played a critical role: engagement in non-farming activities Coef=1.275: P<0.01); contact with extension services (Coef=1.205: P<0.01); farm ownership (Coef=0.403: P<0.01); farmer occupation (Coef=0.456: P<0.01); membership of farmers’ organisations (Coef=1.111: P<0.01); sources of labour (Coef=0.653: P<0.01); farming experience (Coef=0.045: P<0.05) and land tenure (Coef=0.156: P<0.01). In terms of satisfaction with agricultural infrastructure, among other factors influencing satisfaction with agricultural infrastructure, the following variables played a critical role: organisation for extension services (Coef=1.779: P<0.01); assistance of household members in farming enterprise (Coef=0.411: P<0.01); government agricultural support to farmers (Coef=0.419: P<0.01); farm ownership (Coef=0.464: P<0.01); membership of farmers’ organisations (Coef=1.011: P<0.01); age of farmer (Coef= 0.030: P<0.01); level of education (Coef= 0.483: P<0.01); marital status (Coef=0.290: P<0.01); and gender (Coef= -0.576: P<0.01). The results of the analysis were used to close the knowledge gap with regards to the impact of agricultural infrastructure, availability, accessibility and satisfaction on the productivity and agricultural income of smallholder farmers in the North West Province. In terms of recommendations, the study highlighted that agricultural industries and government should commit in assisting smallholder farmers to be productive and to participate in economic activities. This could be achieved through collaboration with industries in implementing initiatives that assist and accelerate the development of smallholder farming and also through assisting smallholder farmers access agricultural infrastructure. / Agriculture and  Animal Health / D. Litt et Phil. (Agriculture)