Abstracts in English, Afrikaans and Zulu / This study attempts to analyse the key FDI determinants in African countries using annual data for the period from 2003 to 2015. It firstly, gives the introduction and the background of FDI. Secondly, it provides both theoretical and empirical literature review on the key FDI determinants. Based on the literature review, the pre-estimation diagnostics (correlation analysis, descriptive statistics and mean and overall mean analysis), panel root tests, panel co-integration tests, main data analysis (fixed effects, random effects, pooled OLS, fully modified OLS and dynamic GMM) and robustness tests using the lagged variable approach were conducted to analyse the key FDI variables. Main data analysis indicated that the lag of FDI had a significant positive impact on FDI. The empirical results revealed that human capital development, infrastructure, growth rate, trade openness, natural resources, financial development, unemployment, exchange rate, government final consumption expenditure and population are the key FDI determinants in African countries. The robustness tests using the lagged variable approach were estimated to analyse if there is a causal relationship FDI and other variables such GDP, random effects revealed that there is uni-directional causality from GDP growth to FDI. Additionally, FDI was found to have been negatively but non-significantly affected by economic growth under the pooled OLS. / Hierdie studie poog om die sleuteleterminante van buitelandse direkte investering (BDI) in Afrikalande te ontleed deur gebruikmaking van jaarlikse data vir die tydperk 2003 tot 2015. Eerstens stel dit BDI bekend en verskaf ’n agtergrond daarvoor. Tweedens bied dit sowel ’n teoretiese as empiriese literatuuroorsig van die belangrikste BDI-determinante. Op grond van die literatuuroorsig is die volgende uitgevoer om die belangrikste BDI-veranderlikes te ontleed: voorskattingsdiagnostiek (korrelasieontleding, beskrywende statistiek en ontleding van gemiddelde en algehele gemiddelde), paneelworteltoetse, paneelkoïntegrasietoetse, hoofdataontleding (vaste effekte, ewekansige effekte, saamgevoegde gewone kleinste kwadrate [GKK], volledig gewysigde GKK en dinamiese veralgemeende momentemetode [VMM]) en robuustheidstoetse deur gebruikmaking van die gesloerdeveranderlike-benadering. Hoofdataontleding het aangedui dat die naloop van BDI ’n beduidende positiewe uitwerking op BDI het. Die empiriese resultate het aan die lig gebring dat mensekapitaalontwikkeling, infrastruktuur, groeikoers, handelstoegang, natuurlike hulpbronne, finansiële ontwikkeling, werkloosheid, wisselkoers, die staat se finale verbruiksbesteding en bevolking die belangrikste BDI-determinante in Afrikalande is. Die robuustheidstoetse deur gebruikmaking van die gesloerdeveranderlike-benadering het ten doel gehad om te ontleed of ’n kousale verband tussen BDI en ander veranderlikes soos BBP bestaan. Ewekansige effekte het getoon dat daar eenrigtingkousaliteit van BBP-groei na BDI is. Daarbenewens is bevind dat BDI negatief maar niebeduidend geraak is deur ekonomiese groei ingevolge die saamgevoegde GKK. / Lolu cwaningo luzama ukuhlaziya izinto ezinquma ngotshalo-mali lwamanye amazwe oluqonde ngqo olwaziwa ngokuthi yi-foreign direct investment (FDI) emazweni ase-Afrika ngokusebenzisa idata yonyaka yesikhathi sokusukela ngo 2003 ukuya ku 2015. Okokuqala, lwethula nokuhllinzeka ngesendlalelo nge-FDI. Okwesibili, luhlinzeka ngokubuyekeza imibhalo yethiyori kanye nobufakazi ngezinto ezibalulekile ezinquma nge-FDI. Ngokulandela imibhalo ebuyekeziwe, isilinganiso sokubonwa kwezimbangela okwaziwa nge-pre-estimation diagnostics (correlation analysis, descriptive statistics kanye ne-mean ne-overall mean analysis), uhlolo lwe-panel root tests, uhlolo lwe-panel cointegration tests, kanye nohlaziyo lwe-main data analysis (fixed effects, random effects, i-pooled ordinary least squares [OLS], i-fully modified OLS kanye ne-dynamic generalised method of moments [GMM]. kanye nohlolo olujulile ngokusebenzisa inqubo ye-lagged variable approach kwaqhutshwa ukuhlaziya izinto ezibalulekile ezinquma ngama-FDI variables. Uhlaziyo lwe-data enkulu lukhombise ukusalela emuva kwe-FDI kube nomphumela omuhle kwi-FDI. Imiphumela yobufakazi bocwaningo ikhombise ukuthi ukuthuthuka kwabantu, ingqalasizinda, izinga lokukhula komnotho, ukuvuleka kwezokuhwebelana, imithombo yemvelo, intuthuko yezezimali, ukusweleka kwemisebenzi, izinga lokushintshiselana ngezimali, izindleko zokusebenzisa izinto kukahulumeni, kanye nesizwe sonkana, yizinto ezinkulu ezinquma nge-FDK kumazwe ase-Afrika. Uhlolo olujulile olusebenzisa inqubo ye-lagged variable approach lwalinganiselwa ukuhlaziya ukuthi ngabe bukhona ubuhlobo bembangela yobuhlobo obukhona phakathi kwe-FDI kanye namanye ama-variable afana nawe-GDP. Imiphumela engahlelekile ye-random effects ikhombise ukuthi kukhona uhidehide lwembangela phakathi kokukhula kwe-GDP kanye ne-FDI. Nangaphezu kwalokho, i-FDI itholakale ichaphazeleka kabi kodwa ngokungabalulekile kakhulu ngokukhula komnotho ngaphansi kwe-pooled OLS. / Business Management / M. Com. (Financial Management)

The study investigated the impact of remittances on financial development in Africa using the dynamic generalised methods of moments (GMM) and other panel data analysis methods with data from 2003 to 2015. Using the same econometric estimation methods, the study also explored the influence of the complementarity between remittances and economic growth on financial development in Africa. Literature on the relationship between remittances and financial development is mixed, inconclusive and indecisive. The desire to contribute towards literature on the influence of remittances on financial development in the African context prompted this study. In Africa, personal remittances had an insignificant positive impact on financial development across all the econometric estimation approaches in all the four models, in line with some empirical studies on the subject matter. African countries are urged therefore to avoid wasting their time developing and implementing remittances, foreign aid and human capital development enhancement policies as a way of spearheading financial development. Using both broad money (as % of GDP) and domestic private credit ratio as measures of financial development, the interaction between remittances and economic growth was found to have a non-significant negative effect on financial development in Africa. The policy implication is that Africa needs to avoid over relying on economic growth as a channel through which financial development can happen / Die studie het die impak van betalings op finansiële ontwikkeling in Afrika ondersoek – deur middel van die dinamiese veralgemeende momentemetode (GMM) en ander metodes van paneeldata-ontleding, met data van 2003 tot 2015. Dieselfde ekonometriese beramingsmetodes is ook ingespan om die invloed van die komplementariteite tussen betalings en ekonomiese groei op finansiële ontwikkeling in Afrika te ondersoek. Die literatuur oor die verwantskap tussen betalings en finansiële ontwikkeling is gemeng, onoortuigend en vaag. Die begeerte om tot die literatuur oor die invloed van betalings op finansiële ontwikkeling in die Afrika-konteks by te dra, het tot hierdie studie aanleiding gegee. In Afrika het persoonlike betalings ʼn onbeduidende positiewe impak op finansiële ontwikkeling in al die benaderings tot ekonometriese beraming in al vier modelle gehad, wat strook met sommige empiriese studies oor die onderwerp. Afrika-lande word dus gemaan om nie hul tyd te mors met die ontwikkeling en implementering van betalings en buitelandse hulp en beleide om mensekapitaalontwikkeling te verbeter as ʼn manier om finansiële ontwikkeling te lei nie. Daar is bevind dat sowel breë geldvoorraad (as ʼn persentasie van BBP) en die binnelandse private kredietverhouding as maatstawwe van finansiële ontwikkeling, die wisselwerking tussen betalings, en ekonomiese groei ʼn nie-beduidende negatiewe uitwerking op finansiële ontwikkeling in Afrika het. Die beleidsimplikasie is dat Afrika moet waak teen oorafhanklikheid van ekonomiese groei as ʼn kanaal waardeur finansiële ontwikkeling kan plaasvind. / Ucwaningo beluphenya umthelela wezimali ezibhadalwayo mayelana nokuthuthukiswa komkhakha wezezimali e-Afrika ngokusebenzisa izindlela ezifanayo zezikhathi (GMM) kanye nezinye izindlela zokuhlaziywa idatha yephaneli ngokusebenzisa idatha yonyaka ka 2003 ukufikela ku 2015. Ngokusebenzisa izindlela ezifanayo zohlelo lokulinganisa isimo somnotho (econometric estimation), ucwaningo futhi luye lwahlola umthelela wousebenzisana okuphakathi kwezimali ezibhadalwayo kanye nokuhluma komnotho mayelana nokuthuthukiswa ngezimali e-Afrika. Umbhalo wobuciko mayelana nobudlelwano phakathi kwezimali ezibhadalwayo kanye nokuthuthukiswa kwezinhlaka zezimali uxutshwe ndawonye, awunaso isiphetho futhi awukwazi ukuthatha izinqumo. Isidingo sokufaka igalelo embhalweni wobuciko mayelana nomthelela wezimali ezibhadalwayo kwihlelo lokuthuthukiswa kwezimali ngaphansi kwesizinda sase-Afrika, ykho okuphembelele ukuthi kube nalolu cwaningo. E-Afrika, izimali ezibhadalwa abantu ziye zaba nomthelela omuhle kwintuthuko yezimali kuzo zonke izindlela zokulinganisa izinga lentuthuko yezomnotho kuwo wonke amamodeli amane, ngokuhambisana nezinye izifundo zocwaningo oluphathekayo lwalesi sifundo. Ngalokho-ke amazwe ase-Afrika ayanxenxwa ukuthi agweme ukumosha isikhathi sawo athuthukisana futhi asebenzisa uhlelo lokuthumela izimali futhi agweme ukuqinisa imigomo yoncedo oluvela emazweni angaphandle kanye nokuthuthukisa abantu ngokwamakhono omsebenzi, njengento yokuhlahla indlela yohlelo lokuthuthukiswa kwezimali. Ukusethenziswa kokubili imali ebanzi (njengephesenti le-GDP) kanye njengesilinganiso sesikweletu, phecelezi-domestic private credit ratio sisebenza njengesilinganiso sezinga lokutthuthuka ngokwezimali, ukusebenzisana phakathi kwezimali ezibhadalwayo kanye nokuhluma komnotho kutholakele ukuthi kube nomthelela ongabalulekile omubi phezu kwezinga lentuthuko yezimali e-Afrika. Ngokomgomo lokhu kuchaza ukuthi i-Afrika idinga ukuthi igweme ukwencika kakhulu ukusebenzisa uhlelo lokuthuthukiswa komnotho njengomgudu lapho kungathuthukiswa komnotho. / Financial Accounting / M. Com. (Business Management)

The primary objective of this study was to examine the broader impact of institutional quality on enhancing foreign direct investment (FDI) and foreign portfolio investment (FPI) inflows in a sample of twelve emerging market economies for the period 2007 to 2017. We specifically sought to answer questions related to the key drivers of FDI and FPI inflows into emerging markets, with a particular emphasis on the role played by institutional quality factors. We further sought to interrogate the long-run and causal relationships between the key variables of FDI, FPI and institutional quality, in respect of the sample of emerging markets. The study employed the Principal Components Analysis (PCA) to construct a composite index for institutional quality composed of the six Worldwide Governance Indicators. Various other econometric models were applied, including the dynamic panel data generalised method of moments (GMM) model, the panel autoregressive distributed lag (ARDL) model for dynamic heterogeneous panels, and the panel vector error correction model (VECM). The results revealed that FDI in the selected emerging markets was, in the main, attracted by economic growth and institutional quality. Institutional quality, economic rowth and capital account openness were positive determinants of FPI inflows; however, stock market development stood out as the foremost determinant factor. In addition to finding long-run, cointegrating relationships between the key variables, it emerged that there was bi-directional causality between FDI and FPI, as well as between FDI and institutional quality in the long run. Despite the latter findings, the results further suggested that the long-run relationship between the two foreign capital inflows, i.e. FDI and FPI, was more of a substitutability or trade-off nature in our sample of emerging markets. In light of these findings, we recommended that it would be in the best interests of these emerging markets if the responsible policymakers continued to liberalise these economies. Further, it was shown that in order to attract inward international capital flows, financial liberalisation should be coupled with the strengthening of the domestic institutional environment.Strengthening institutions could curtail the persistence of institutional weaknesses and insulate emerging market economies from the adverse effects of volatile capital flows, and in the long-run enhance international capital inflows. / Inhloso enkulu yalolu cwaningo kwaye kuwukuhlola umthelela obanzi kwizinga leziko ekuqiniseni uhlelo lokutshalwa ngqo kwezimali ezweni langaphandle (foreign direct investment; FDI) kanye nemali engena mayelana nokuthengwa kwamagugu (shares, stocks and bonds) angenisa imali ezweni elingaphandle (foreign portfolio investment; FPI) kwizimakethe zamazwe eziyishumi nambili esikhathini esiphakathi kuka 2007 ukufika ku 2017. Empeleni besifuna ukuphendula imibuzo emayelana nezikhwezeleli ezisemqoka eziheha uhlelo lwe-FDI kanye ne-FPI ezimakethe ezifufusayo, ikakhulu kugxilwe kwindima edlalwa yizinto ezihlobene nezinga leziko. Siqhubekela phambili nokuphenya izinhlobo zobudlelwano besikhathi esinde kanye nobudlelwano obuyimbangela phakathi kwamavarebuli asemqoka e-FDI, i-FPI kanye nezinga leziko, mayelana nesampuli yezimakethe ezisafufusayo. Ucwaningo lusebenzise uhlelo lwe-Principal Components Analysis (PCA) ukwakha imvange yezinkomba ukwenzela izinga leziko eliqukethe izinkomba eziyisithupha ezibizwa phecelezi nge-Worldwide Governance Indicators. Amanye amamodeli alinganisa ezomnotho asetshenzisiwe, kuxutshwa phakathi idatha yamaphaneli eguquguqukayo ebizwa nge-dynamic panel data generalised method of moments (GMM) model, uhlelo lwe-panel autoregressive distributed lag (ARDL) model ukwenzela amaphaneli ahlukahlukene futhi aguquguqukayo, kanye nohlelo lwe-panel vector error correction model (VECM). Imiphumela iveze ukuthi i-FDI ezimakethe ezikhethiwe ezisafufusa, esikhathini esiningi, iye yahehwa ukuhluma komnotho kanye nezinga leziko. Izinga leziko, ukuhluma komnotho kanye nokuvuleka kwe-akhawunti yemali bekuyizinto eziyizinkomba ezinhle zokungena kwe-FPI; yize-kunjalo, ukuthuthukiswa kwemakethe yesitoko kuvele kwagqama ngaphezulu njengenkomba ekhombisayo. Ukwengeza phezu kolwazi olutholakele esikhathini esinde, ukuhlangana kobudlelwano obuphakathi kwamavarebuli asemqoka, kuye kwavela ukuthi kwakunezimbangela ezikhomba izindlela ezimbili zokungena kwezimali ezitshalwa ngaphandle, zona yilezi i-FDI kanye nezinga leziko esikhathini esinde. Naphezu kolwazi olutholakele kamuva, imiphumela iqhubeka nokuphakamisa ukuthi ubudlelwano besikhathi eside obuphakathi kwezinhlelo zokutshalwa kwezimali ezivela emazweni angaphandle, lezo zinhlelo yilezi, i-FDI kanye ne-FPI, bezingendlela ikakhulukazi yokushintshana/yokumisela noma yokushintshelana ngokuhweba kwisampuli yethu 5 yezimakethe ezisafufusayo. Mayelana nalolu lwazi olutholakele, sincome ukuthi kuzohambisana nokuthandwa yilezi zimakethe ezisafufusa uma ngabe abenzi bemigomo ababandakanyekayo baqhubeke nokususa izihibe zomnotho kula mazwe asafufusa. Ngaphezu kwalokho, kuye kwavezwa ukuthi ukuze kuhehwe izimali zamazwe angaphandle, uhlelo lokususwa kwezihibe zomnotho lufanele luhambisane nokuqiniswa kwesizinda esiyiziko lasekhaya. Ukuqiniswa kwamaziko kungaqeda isimo esintengayo seziko futhi kungasusa izimakethe zamazwe asafufusayo kwisimo esingagculisi sezimali ezingenayo, kanti esikhathini eside lokhu kungaqinisa ukutshalwa ukungena kwezimali ezivela emzaweni angaphandle / Maikemisetso magolo a thutopatlisiso eno e ne e le go tlhatlhoba ditlamorago ka bophara tsa boleng jwa ditheo mo go tokafatseng keleloteng ya dipeeletso tsa tlhamalalo tsa kwa dinageng tse dingwe (FDI) le dipeeletso tsa dipotefolio tsa kwa dinageng tse dingwe (FPI) mo sampoleng ya diikonomi tse somepedi tsa mebaraka e e tlhagelelang mo pakeng ya 2007 go fitlha 2017. Re ne re totile go araba dipotso tse di malebana le ditsamaisi tsa botlhokwa tsa keleloteng ya FDI le FPI mo mebarakeng e e tlhagelelang, go lebeletswe thata seabe sa dintlha tsa boleng jwa ditheo. Gape re ne re lebeletse go tlhotlhomisa go nna sebaka se se telele le sebako sa dikamano magareng ga dipharologantsho tsa botlhokwa tsa FDI, FPI le boleng jwa ditheo, malebana le sampole ya mebaraka e e tlhagelelang. Thutopatlisiso e dirisitse Tokololo ya Dintlha tsa Botlhokwa (PCA) go aga tshupane ya dikarolo ya boleng jwa ditheo e e nang le Disupi di le thataro tsa Lefatshe lotlhe tsa Bolaodi. Go dirisitswe gape dikao tse dingwe tse di farologaneng tsa ikonometiriki, go akarediwa sekao sa dynamic panel data generalised method of moments (GMM) sa data ya phanele e e farologaneng, sekao sa panel autoregressive distributed lag (ARDL) sa diphanele tse di farologaneng le sekao sa panel vector error correction (VECM). Dipholo di senotse gore FDI mo mebarakeng e e tlhophilweng e e tlhagelelang e ne tota e ngokiwa ke kgolo ya ikonomi le boleng jwa ditheo. Boleng jwa ditheo, kgolo ya ikonomi le go bulega ga akhaonto ya kapitale e nnile diswetsi tse di siameng tsa keleloteng ya FPI; fela tlhabololo ya mebaraka ya setoko e tlhageletse jaaka ntlha e e kwa pele e e swetsang. Go tlaleletsa mo go fitlheleleng botsalano jwa pakatelele le jo bo kopanang jwa dipharologantsho tsa botlhokwa, go tlhageletse gore go na le go sebako sa dintlhapedi magareng ga FDI le FPI gammogo le magareng ga FDI le boleng jwa ditheo mo pakeng e e telele. Le fa go ntse go na le diphitlhelelo tse di kailweng la bofelo, dipholo gape di tshitshinya gore botsalano jwa paka e e telele magareng ga keleloteng ya kapitale ya kwa ntle k.g.r. FDI le FPI ke jwa mofuta wa go emisetsa se sengwe ka se sengwe mo sampoleng ya rona ya mebaraka e e tlhagelelang. Ka ntlha ya diphitlhelelo tseno, re atlenegisa gore go tlaa bo go le mo dikgatlhegelong tsa mebaraka eno e e tlhagelelang gore ba ba rweleng maikarabelo a go dira dipholisi ba ka tswelela go repisa diikonomi tseno. Mo godimo ga moo, go bonagetse gore go ngokela kelelo e e tsenang ya kapitale ya boditšhabatšhaba, go repisiwa ga merero ya ditšhelete go tshwanetse ga tsamaisiwa le maatlafatso ya tikologo ya ditheo tsa 7 selegae. Go maatlafatsa ditheo go ka fedisa go tswelela pele ga makoa a ditheo le go sireletsa diikonomi tsa mebaraka e e tlhagelelang mo ditlamoragong tse di maswe tsa dikelelo tse di maswe tsa kapitale, mme kwa bokhutlong, go tokafadiwe kelelo ya kapitale ya boditšhabatšhaba / Finance, Risk Management and Banking / M. Com. (Financial Management)

Financial literacy continues to be a significant factor affecting small and medium enterprises (SMEs) in their ability to access finance worldwide. Both new and existing SMEs rely on external financing to grow and expand operations. However, financial literacy remains low among entrepreneurs, resulting in restricted access to finance which leads and contributes to the high failure rate of SMEs. The objective of the study is to determine whether a relationship exists between financial literacy and financial access among SMEs. This study followed a descriptive and quantitative research design. Primary data was gathered in a survey by means of self-administered questionnaires distributed to 397 entrepreneurs in the Ekurhuleni Metropolitan Municipality, Gauteng. The study revealed that entrepreneurs in Ekurhuleni did not fully understand basic financial concepts and thus portrayed low levels of financial knowledge. The study also indicated that access to finance was a major challenge for the majority of the SMEs in the municipality. Furthermore, the study established a positive relationship between financial literacy and financial access among SMEs in the municipality. Recommendations were provided to government, financial institutions, academic institutions and entrepreneurs suggesting measures that could be implemented in an effort to improve the levels of financial literacy and financial access among entrepreneurs. This study is the first to examine the financial literacy-financial access relationship among SMEs in Ekurhuleni Metropolitan Municipality and provides a benchmark for future research studies in this area. / Ukufundiswa ngezezimali kuqhubeke njalo kuba yisithikamezo esikhulu esithinta amabhizinisi amancane nalawo asakhasayo (SMEs) kwikhono lawo lokuthola izimali emhlabeni wonke. Zombili lezi zinhlobo zamabhizinisi akhona ama-(SMEs) encike phezu koxhaso lwezimali oluvela ngaphandle ukuze zihlume futhi zidlondlobalise imisebenzi yazo. Yize-kunjalo, izinga lokufundiswa ngezimali lihlala liphansi phakathi kosomabhizinisi, lokhu kudala ukutholakala kwezimali kube wumnqansa omkhulu, lokhu kusuke kuholele futhi kube nomthelela omkhulu ekudaleni izinga eliphezulu lokwehluleka kwama (SMEs). Inhloso enkulu yocwaningo wukuthola ukuthi ngabe ubudlelwano bukhona yini phakathi kokufundiswa ngezimali kanye kanye nokutholakala kwezimali phakathi kwamabhizinisi amancane nalawo asakhasayo (SMEs). Ucwaningo lulandela indlela yocwaningo echazayo kanye naleyo esebenzisa ulwazi. Idatha yokuqala yaqoqwa ngokwesaveyi ngokusebenzisa imibhalo yemibuzo yokuzenzela, eyasatshalaliswa kosomabhizinisi abakumasipali Ekurhuleni Metropolitan Municipality, eGauteng. Ucwaningo luveza ukuthi osomabhizinisi base-Ekurhuleni abazange bazwisise ngokugcwele amagama ezimali awulwazi oluyisisekelo kanti lokhu kwaveza amazinga aphansi olwazi lwezimali. Ucwaningo futhi luyaveza ukuthi ukutholakala kwezimali kwakuyinselelo enkulu kwiningi losomabhizinisi abancane nalabo abasakhasayo (SMEs) kumasipali. Ngaphezu kwalokho, ucwaningo luye lwancoma ukuthi kukhona ubudlelwano obuhle phakathi kokufundiswa ngezezimali kanye nokutholakala kwezimali phakathi kwamabhizinisi amancane nalawo asakhasayo (SMEs) ngaphakathi komasipali. Izincomo kanye nemihlahlandlela eqondiswe kuhulumeni, kumaziko ezezimali, kumaziko ezemfundo kanye nosomabhizinisi kuye kwanikezwa, kanti lokhu kungasetshenziswa kwimizamo yokuthuthukisa amazinga okufundiswa ngezimali phakathi kosomabhizinisi. Lolu wucwaningo lokuqala oluhlola ubudlelwano obumayelana nokufundiswa ngezimali kanye nokutholakala kwezimali phakathi kosomabhizinisi abancane nalabo abasakhasayo (SMEs) ngase-Ekurhuleni Metropolitan Municipality kanti futhi lolu cwaningo luye lwandlala isisekelo lapho ezinye izinhlelo zocwaningo zingaqhutshekiswa khona ngalesi sihloko / Die finansiële geletterdheid van klein en medium ondernemings (KMO’s) bepaal die mate waarin hulle toegang tot wêreldwye finansiering verkry. Sowel nuwe as bestaande KMO’s steun op finansiering om hulle werksaamhede uit te brei. Omrede min entrepreneurs finansieel ongeletterd is, geniet hulle beperkte toegang tot finansiering, en misluk KMO’s meestal. Die doel van hierdie studie is om vas te stel of daar ʼn verband tussen die finansiële geletterdheid van KMO’s en hulle toegang tot finansiering bestaan. ʼn Deskriptiewe en kwantitatiewe navorsingsontwerp is in hierdie studie gevolg. Die primêre data is ingewin met vraelyste wat deur 397 entrepreneurs in die Ekurhuleni Metropolitaanse Munisipaliteit in Gauteng ingevul is. Uit die studie het geblyk dat entrepreneurs in Ekurhuleni ʼn gebrekkige begrip van basiese finansiële begrippe het, en gevolglik oor weinig finansiële kennis beskik. Daar is bevind dat finansiering ʼn groot struikelblok vir die meeste KMO’s in die munisipaliteit is. Hierdie studie het vasgestel dat daar ʼn bepaalde verband tussen finansiële geletterdheid en finansiering onder die KMO’s in die munisipaliteit bestaan. Aanbevelings word gedoen om die finansiële geletterdheid en finansiering van entrepreneurs te verbeter. Hierdie riglyne is vir die regering, finansiële en akademiese instellings, en entrepreneurs bedoel. Aangesien dit die eerste ondersoek na die verband tussen finansiële geletterdheid en finansiering onder KMO’s in die Ekurhuleni Metropolitaanse Munisipaliteit is, stel hierdie studie ʼn standaard vir ander studies in hierdie streek. / Business Management / M. Com. (Business Management)

Abstracts in English, Afrikaans and Zulu / Small and medium enterprises play a significant role in the economic growth of Lesotho, however, they face low survival rates and competitive growth drawbacks. Market-driven strategies and access to finance have been identified as the major constraints hindering their survival, growth and effective operation in Lesotho. The purpose of the study was to investigate the influence of market-driven strategies and access to finance on the competitive growth of small and medium-sized enterprises in selected districts of Lesotho. A quantitative descriptive-correlation survey approach was followed in the data collection and the analysis phases of the research study. The target population consisted of a probability sample of (N = 400) entrepreneurs in the four selected districts of Lesotho. The data was captured and analysed for descriptive statistics, convergent and discriminant validity, composite and internal reliability and correlation in order to inform the structural equation modelling (SEM). SEM was used to test the research model and hypotheses to answer the research questions. The correlation analysis revealed a positive significant relationship between the market-driven strategies and access to finance constructs and related to the competitive growth of SMEs. The regression results showed a positive and significant influence of market-driven strategies (technological dynamic and competitive intensity) and access to finance (collateral requirement and financial information access) on the competitive growth of SMEs. The structural equation modelling analysis further indicated that the equation model derived from the covariance estimates of all explanatory factors of market-driven strategies and access to finance on competitive growth were within the goodness-of-fit threshold. The study was specific to small and medium enterprises, and the findings suggest that to address their challenges in Lesotho (i) enterprises need to be equipped with market-driven strategic (competitive intensity and technological dynamic) resources to deliver superior value to customers; and (ii) adequate policy initiatives are needed to improve enterprises’ access to finance, and such should (a) focus on improving access to financial information through awareness programmes, (b) consider adequate information on policy initiatives, support programmes and financial schemes geared to support Basotho small and medium-sized enterprises access to finance, and (c) harmonise the collateral requirements by banks to ease Basotho SMEs access to adequate credit funds. In sum, the results suggest the joint implementation of market-driven strategies and access to finance as enabling resources to assist enterprises to achieve and stay competitive in the current dynamic business environment. / Klein en medium ondernemings (KMO’s) speel ʼn beduidende rol in die ekonomiese groei van Lesotho. Hulle ervaar egter lae oorlewingstempo’s en mededingendegroei-nadele. Markgedrewe strategieë en toegang tot finansiering is geïdentifiseer as die vernaamste beperkings in die voortbestaan, groei en doeltreffende bedryf van hierdie ondernemings in Lesotho. Die doel van die studie was om die invloed van markgedrewe strategieë en toegang tot finansiering op die mededingende groei van KMO’s in bepaalde distrikte van Lesotho, te ondersoek. ʼn Kwantitatiewe beskrywende-korrelasie-opname-benadering is in die data-insameling en -ontledingsfases van die navorsingsondersoek gevolg. Die teikenpopulasie het bestaan uit ʼn waarskynlikheidsmonster van (N = 400) entrepreneurs in die vier gekose distrikte van Lesotho. Die data is vasgelê en ontleed vir beskrywende statistiek, konvergente en diskriminantgeldigheid, saamgestelde en interne betroubaarheid en korrelasie, as deel van strukturele vergelykingsmodellering, wat gebruik is om die navorsingsmodel en hipoteses te toets ten einde die navorsingsvrae te beantwoord. Die korrelasie-ontleding het ʼn positiewe beduidende verwantskap tussen die volgende konsepte getoon: markgedrewe strategieë, toegang tot finansiering en die mededingende groei van KMO’s. Die regressieresultate het daarop gedui dat markgedrewe strategieë (tegnologies dinamiese en mededingende intensiteit) en toegang tot finansiering (kollaterale vereiste en toegang tot finansiële inligting) ʼn positiewe en beduidende invloed op die mededingende groei van KMO’s het. Die strukturele vergelykingsmodelleringontleding het verder getoon dat die vergelykingsmodel afkomstig van die kovariansie-skattings van alle verduidelikende faktore van markgedrewe strategieë en toegang tot finansiering rakende mededingende groei, binne die geskiktheidsdrumpel val. Die studie was spesifiek oor KMO’s, en die bevindinge toon dat om die struikelblokke wat in Lesotho ervaar word te bowe te kom, (i) hierdie ondernemings toegerus moet word met markgedrewe strategiese (mededingende-intensiteit en tegnologies dinamiese) hulpbronne sodat hulle voortreflike waarde aan hul klante kan bied; en (ii) voldoende beleidsinisiatiewe nodig is om die ondernemings se toegang tot finansiering te verbeter; hierdie beleidsinisiatiewe moet (a) fokus op verbetering van toegang tot finansiële inligting deur bewustheidsprogramme (b) voldoende inligting voorsien oor beleid, ondersteuningsprogramme en finansiële skemas gerig op beter toegang vir KOMO’s tot finansiering, en (c) die kollaterale vereistes deur banke harmonieer om toegang deur KMO’s tot toereikende kredietfondse te fasiliteer. Kortom stel die resultate die gesamentlike implementering van markgedrewe strategieë en toegang tot finansiering as instaatstellingshulpbronne voor om ondernemings te help om mededingendheid te bewerkstellig en te behou in die huidige dinamiese sakeomgewing. / Amabhizinisi amancane nasafufusa (SME) adlala indima esemqoka ekuhlumiseni umnotho wasezweni laseLesotho. Yize-kunjalo, lincane kakhulu inani lamabhizinisi asindayo futhi lincane kakhulu inani lalawo ahlumayo kwizimakethe zamabhizinisi ezincintisanayo. Amasu aqhutshwa yizimakethe kanye nokutholakala kwezimali kubonwe njengezihibhe ezinkulu ezivimba ukuphumelela, ukuhluma kanye nokusebenza kahle kwamabhizinisi eLesotho. Injongo yalesi sifundo socwaningo bekukuphenya umthelela wamasu aqhutshwa yizimakethe kanye nokutholakala kwezimali zokuhlunyiswa komnotho wama-SME ngendlela ekhonyayo kwizifunda zaseLesotho. Indlela yesaveyi ebizwa nge-quantitative descriptive-correlation survey iye yalandelwa ekuqoqweni kwedatha kanye nakwizigaba zokuhlaziya kwisifundo socwaningo. Inani eliphelele labantu eliqondiwe linamasampuli wethuba lokwenzeka (probability sample of (N = 400) losomabhizinisi abakwizifunda ezine ezikhethiwe zaseLesotho. Idatha iqoqiwe yahlaziywa ukwenzela amanani achazayo, i-convergent and discriminant validity, i-composite kanye ne-internal reliability and correlation ngenhloso yokuhlomisa uhlelo lwe-structural equation modelling ngolwazi, ulwazi olusetshenziswe ukuhlola imodeli yocwaningo kanye nehayipothesisi ukuze kuphenduleke imibuzo yocwaningo. Uhlaziyo lwe_correlation analysis luveze ubudlelwano obubonakalayo phakathi kwezinhlaka zamasu aqhutshwa yizimakethe, ukutholakala kwezimali kanye nokuhluma ngamandla kwezomnotho kwamabhizinisi amancane nasafufusa (SMEs). Imiphumela yohlelo lwe-regression ikhombe amasu aqhutshwa yizimakethe (technological dynamic and competitive intensity) kanye nokutholakala kwezimali (collateral requirement and financial information access) njengezinhlaka ezinomthelela omuhle nobalulekile phezu kokuhluma ngamandla komnotho wamabhizinisi asafufusayo (SMEs). Uhlelo lokuhlaziya imodeli elibizwa nge-structural equation modelling liqhubeke nokuveza uhlelo lwe- equation model olususelwe kwisilinganiso se-covariance sezinhlaka zonke ezichazayo zamasu aqhutshwa yizimakethe kanye nokutholakala kwezimali kumnotho ohluma ngamandla wamabhizinisi amancane nasafufusa ukuthi kube ngaphakathi kohlelo lwe-goodness-of-fit threshold. Ucwaningo belugxile ikakhulu kumabhizinisi aamancane nasafufusa, , kanti ulwazi olufunyenwe luphakamisa ukuthi ukuze kuqedwe izinkinga okuhlangabezanwa nazo eLesotho, (i) la mabhizinisi adinga ukuba ahlonyiswe ngamasu aqhutshwa yimithombo yezimakethe (competitive intensity and technological dynamic) ngenhloso yokuletha izinga eliphezulu lomkhiqizo kumakhasimende; kanti (ii) kudinga imizamo yemigomo eyanele ukuthuthukisa izinga lokutholakala kwezimali ngamabhizinisi; le mizamo yomgomo kufanele (a) igxile ekuthuthukiseni izinga lokutholakala kolwazi lwezimali ngokusebenzisa izinhlelo zokwexwayisa, (b) ukunikeza ulwazi olwanele olumayelana nezomgomo, nezinhlelo zokuxhasa kanye nezikhwama zezimali ezihlelelwe ukuthuthukisa ukuthuthukisa uhlelo lizinga lokutholakala kwezimali ngamabhizinisi amancane nasafufusa, kanti futhi (c) ukuhlanganisa ndawonye izimfuno ezifanayo ngamabhange ukwenzela ukulungisa uhlelo olusiza ukunikezwa kwamabhizinisi amancane nasafufusa izikweletu zemali eyanele. Sekukonke nje, imiphumela iphakamisa ukuthi kube nohlelo oluhlanganyelwe lokusetshenziswa kwamasu aqhutshwa yizimakethe kanye nokutholakala kwezimali ezinceda imithombo ukuthi incede amabhizinisi ekufinyeleleni izinhloso kanye nokugcina ummoya wokuncintisana kwisizinda samanje sezebhizinisi. / Business Management / D. Phil. (Management Studies)

Summaries in English, Afrikaans and Zulu / Various studies on international capital flows have established the deterministic role of local financial markets on the attractiveness of countries to inflow of foreign direct investment. The current study investigated the impact of FDI inflows on the financial sector development of countries in the Middle East and North Africa region for the period 2003 to 2016. Various panel data analysis methods were employed. These approaches included fixed effects, random effects, pooled OLS, FMOLS and the dynamic GMM. In addition, pre-estimation tests, diagnostic tests which included panel unit root and co-integration tests and robustness tests were conducted. Using both financial development proxies, broad money as a ratio of GDP (model 1) and domestic credit to the private sector (model 2), the study found that the lag in financial development had a significant positive effect on financial development. In model 1 under fixed effects, random effects and pooled OLS, FDI had a significant negative effect on financial development. In contrast, model 2 showed a significant positive relationship running from FDI to financial development under the pooled OLS method. The interaction between FDI and economic growth was found to have a significant negative influence on financial development in models 1 and 2 under the pooled OLS method. This finding indicates that economic growth had a deleterious effect on the impact of FDI on financial development in the MENA region. In the light of these results, policy makers in the MENA region countries should be urged to avoid undue reliance on FDI in their efforts to develop their financial sectors. Furthermore, the MENA region nations are urged to avoid implementing economic growth enhancement policies as a way of trying to improve financial development, directly or indirectly, as the effort has been shown to achieve the opposite effect. / Verskeie studies wêreldwyd oor die vloei van internasionale kapitaal is dit eens dat aantreklike plaaslike finansiële markte direkte buitelandse beleggings (DBB) na lande laat stroom. Hierdie studie het die uitwerking van DBB in die tydperk 2003 tot 2016 op die finansiële sektore van lande in die Midde Oosterse en Noord-Afrikaanse (MONA) streek ondersoek. Verskeie paneeldataontledingsmetodes is gevolg, waaronder vaste en ewekansige effekte, saamgevoegde, gewone kleinstekwadratemetode (GKK), volgewysigde kleinstekwadratemetode (VGKK) en die dinamiese, veralgemeende metode van momente (VMM). Afgesien hiervan is voorberamings- en diagnostiese toetse, waaronder paneeleenheidswortel-, koïntegrasie- en robuustheidstoetse, toegepas. Op grond van sowel volmagte vir finansiële ontwikkeling, breë geld – as ʼn verhouding van die BBP (model 1) – as binnelandse krediet aan die privaat sektor (model 2), is bevind dat die vertraging in finansiële ontwikkeling ʼn opmerklik positiewe effek op finansiële ontwikkeling uitgeoefen het. In model 1, onder vaste effekte, ewekansige effekte en saamgevoegde GKK, het DBB ʼn opmerklik negatiewe effek op finansiële ontwikkeling gehad. Model 2, daarenteen, het onder die saamgevoegde GKK-metode op ʼn opmerklik positiewe verband tussen DBB en finansiële ontwikkeling gedui. Daar is in model 1 en 2 onder die saamgevoegde GKK bevind dat die wisselwerking tussen DBB en ekonomiese groei ʼn opmerklik negatiewe effek op finansiële ontwikkeling gehad het. Hierdie bevinding is ʼn aanduiding daarvan ekonomiese groei ʼn nadelige effek op die uitwerking van DBB op finansiële ontwikkeling in die MENA-streek gehad het. In die lig hiervan moet die beleidsmakers van lande in die MONA-streek teen oormatige steun op DBB om hulle finansiële sektore te laat ontwikkel, gemaan word. Hierbenewens moet lande in die MONAstreek teen beleide vir ekonomiese groei as ʼn manier om finansiële ontwikkeling regstreeks of onregstreeks aan te wakker, gewaarsku word omdat dit die teenoorgestelde uitwerking sal hê. / Izifundo zocwaningo ezahlukahlukene ekuthunyelweni kwezimali sezisungule indima yezimpawu ezikhombisayo zokuthunyelwa kwezimali ezimakethe zasemakhaya mayelana nekhono lamazwe lokuheha ukutshalwa kwezimali okuqondile. Ucwaningo lwamanje luye lwaphenya umthintela wokungena kwezimali ngohlelo lokutshalwa kwezimali ngaphandle, phecelezi FDI mayelana nokuthuthukiswa komkhakha wezezimali emazweni asesiyingini esiseMpumalanga eMaphakathi (Middle East) kanye kanye nase-Afrika eseNyakatho (North Africa (MENA), ukusukela onyakeni ka 2003 ukufika ku 2016. Izindlela ezahlukahlukene zokuhlaziya ipanel data analysis ziye zasetshenziswa. Lezi zindlela ziye zaxuba imiphumela enqunyelwe isikhathi, imiphumela enganqunyelwanga isikhathi, uhlelo lwe pooled OLS, lwe FMOLS kanye nohlelo oluguquguqukayo lwe GMM. Ngaphezu kwalokho, izinhlelo zokuhlolwa phecelezi, pre-estimation tests kanye ne diagnostic tests, lokhu okuyizinhlelo ezixuba amayunidi ephaneli panel unit root kanye nohlelo lwe cointegration tests kanye nohlelo lwe robustness tests, nazo ziye zaxutshwa phakathi. Ngokusebenzisa zombili izinhlelo zokuthuthukiswa kwezinhlelo zezimal, imali ebanzi – njengesilinganiso semodeli 1 yeGDP – kanye nesikweletu sasekhaya esinikezwa imikhakha yamabhizinisi angasese asekhaya (imodeli 2), ucwaningo luthole ukuthi ukubambezeleka kwesikhathi sokuthuthukiswa kwezinhlelo zezimali kuye kwaba nomthelela omuhle kakhulu ekuthuthukisweni kwezimali. Kumodeli 1, ngaphansi kohlelo lwemiphumela enqunyelwe isikhathi, kwemiphumela enganqunyelwanga iskhathi kanye nasohlelweni lwe pooled OLS, uhlelo lwe FDI luye lwaba nomthelela omubi kakhulu kwezokuthuthukiswa kwezimali. Okuphikisana nalokho, imodeli 2 iye yakhombisa ubudlelwano obuhle kakhulu, ukuqala ohlelweni lokutshalwa kwezimali emazweni angaphandle (FDI) ukufika ohlelweni lwezokuthuthukiswa kwezinhlelo zezimali, ngaphansi kohlelo lwe pooled OLS. Ukuhlangana phakathi kohlelo lwe FDI kanye nokuhluma komnotho kutholakele ukuthi luye lwaba nomthelela omubi kakhulu ekuthuthukisweni kwezinhlelo zezimali, kumamodeli 1 nemodeli 2, ngaphansi kohlelo lwe pooled OLS. Lolu lwazi olutholakele lukhombisa ukuthi ukuhluma komnotho kuye kwaba nomthelela oyingozi kakhulu ohlelweni lwe FDI mayelana nokuthuthukiswa kwezimali esiyingini seMENA. Uma kubhekwa le miphumela, abenzi bemigomo emazweni asesiyingini seMENA kufanele bacelwe ukuba bagweme ukwencika ngendlela engenasidingo ohlelweni lwe FDI kwimizamo yabo yokuthuthukisa imikhakha yezimali. Ngaphezu kwalokho, amazwe asesiyingini saseMENA ayacelwa ukuba agweme ukusetshenziswa kwemigomo eqinisa ukuthuthukiswa komnotho njengendlela yokuzama ukuthuthukisa izinhlelo zezimali, ngendlela eqondile nangendlela engaqondile, njengoba umzamo sewukhonjiswe ukuze kuphunyelelwe imiphumela engaqondiwe. / Business Management / M. Com. (Business Management : Finance)