Submitted in partial fulfilment of the requirements for the degree of Master of Business Administration in the Business Studies Unit, Durban Institute of Technology, 2004. / Customer satisfaction is a critical component of a business' competitive strategy. The Cane Testing Service (CTS) division of the South African Sugar Association is operating in a deregulated market environment and thus has to ensure that customers are always satisfied with the quality of service received from CTS. This study aimed to establish the change in customer satisfaction levels between 1998 and 2003. The study set out to determine customer satisfaction levels with specific customer groupings of combined millers and growers, millers-only and growers-only of all fourteen Mill Group Boards. The study investigated customer satisfaction levels for each of the sixteen service characteristics for the fourteen Mill Group Boards. Regular measurement of customer satisfaction allows CTS to continuously improve the levels of customer satisfaction and thereby minimise the threat to CTS of competitors entering the sugar industry laboratory services market. Customer satisfaction levels were determined by conducting a longitudinal, quantitative survey on one hundred and sixty-eight miller and grower members of all Mill Group Boards using the CTS developed questionnaire, containing CTS and customer verified service attributes. I I I The 2003 study shows a statistically significant improvement in customer satisfaction levels with CTS service delivery across all customer groupings in comparison with the 1998 customer satisfaction levels. The specific Mill Group Board analyses shows an improvement in customer satisfaction levels for twelve of the fourteen boards. Specific strategies are to be developed for those boards and service attributes that did not show an improvement. It is recommended that CTS customer surveys be conducted every three years and the Balanced Scorecard management tool be used to monitor the effectiveness of customer improvement strategy implementation. It is proposed that future research consider benchmarking CTS service delivery against other similar service providers and that focus groups be employed to obtain feedback from key customers. / M

The South African sugar industry is a large industry which relies on expensive capital equipment to harvest, transport and process sugarcane. An average of 23 million tons of sugarcane are annually supplied to 14 mills from over 2 000 large-scale commercial growers and 48 000 small-scale growers. Supply chain stakeholders can benefit if operations are successfully streamlined. Computer-based mathematical models have been used in other industries to improve supply chains, especially in forestry, and are expected to play an increasingly important role in future planning and management. Management of sugar supply chains has historically focussed on generating competitive individual supply chain components. However, inter-component optimisation generally disregards many important intra-component interactions. Hence, efficiency improvements may be significantly limited. Integrated supply chain modelling provides a suitable approach for addressing this problem. The aim of this project was to develop and demonstrate, in concept, an integrated supply chain model for the sugar industry. Such a model could be used to address various integrated planning and management problems throughout the supply chain. A review of existing integrated agri-supply chain models was conducted followed by the development of CAPCONN, an integrated sugar supply chain model framework, that incorporate all steps from field to mill back end. CAPCONN estimates sugarcane quality, mill recovery, capacity utilisation and production costs. Bottlenecks are highlighted and the model could contribute towards capacity manipulation for efficiency improvements under different harvesting scenarios. CAPCONN was demonstrated by analysing a number of scenarios in a mechanisation case study at Komati Mill where sugarcane is currently burned and manually cut. A total of twelve scenarios were compared, including variations in cropping system and time of year. The model framework predicted that a decrease in sugarcane quality and sugar recovery would occur under mechanical harvesting scenarios. Estimated production costs were also higher, even though the transport fleet was significantly reduced. A manually cut green (unburned) harvesting scenario showed a further decrease in sugarcane quality and sugar recovery. Mechanical harvesting during wet weather caused a substantial reduction in supply chain capacity and an increase in production costs. CAPCONN output trends compared favourably with measured and observed data, though the magnitude of the trends should be viewed with caution, since the CAPCONN framework is only a prototype. This shows that it may be a suitable diagnostic framework for analysing and investigating the sugarcane supply chain as a single entity. With further development to a model, the CAPCONN model framework could be used as a strategic planning tool although, one drawback is that a relatively large number of technical inputs are required to run the model. / Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2006.

M.Tech. (Quality and Operations Management) / This paper focuses on the social impact of the sugar industry in South Africa. A social impact assessment is a method that aims to assess social features of the product and their positive and negative aspects in terms of its processing of raw material to the final stages of its disposal. The objectives of the study were guided by the guidelines on social life cycle assessment of products of the South African Sugar Industry developed by the United Nations Environmental Programme and SETAC initiatives. The main aim is to add value to the social assessment methodology and application techniques of social impacts assessment, focusing on the sugar industry in South Africa. The study’s main focus is on health and safety, freedom of association, employee’s wages, gender equality in the workplace, working conditions, crime and the social wellbeing of the communities that surround the sugar industry’s operations. Field research, historic comparative research, interviews and questionnaires were used for the collection of relevant data. The areas that grow sugar were identified to have low unemployment rates as compared to areas that do not grow sugar. Although it is good that the sugar industry decreases the level of employment in some areas, the decrease in sugar production during the season of 2010-2011 could have major financial and social challenges for these areas, and could also impact the rest of South Africa. The other social impacts discussed above are also assessed and presented in the paper.

Mini-study project (MBA)--University of Stellenbosch, 2003. / ENGLISH ABSTRACT: This study considers the importance of research and development (R&D) investment for enhanced productivity in the agricultural sector. In this regard, some detail of R&D investments will be discussed. Focus is given to research intensity ratios and government spending intensities in different parts of the world, for both developed and developing countries. Furthermore, the extent of focus on investment activities by the public and private sector, respectively, will be considered. Aspects of agricultural R&D in Africa, such as the crisis of funding, incentives to perform, priorities and procedures will be deliberated. Measures for reform will be addressed. Thereafter, the sustainability of investment in agricultural R&D will be emphasized. Roles and responsibilities of the public and private sectors, funding adequacy, funding trends and mechanisms of funding are discussed. Attention will be given to the impact public and agricultural policies have on both the level and nature of agricultural investment. Furthermore, R&D efforts may impact a wide audience and in this regard welfare implications for different interest groups are evaluated. Previous econometric studies are discussed. The relationship between R&D investment and productivity in the sugar industry in South Africa is studied for the period 1925-2001 within the context of a production function regression. Data were obtained from the South African Sugar Association Experiment Station. The dependent variable was sucrose yield, while the independent variables were rainfall, land used in sugar production, technology and production costs. The techniques of ordinary least squares and Ridge Regression, respectively, were used. Using ordinary least squares, it was determined that the length of the R&D lag was three years. The short lag length may be justified by the fact that research done by the Experiment Station is of an applied nature and research, training and extension are integrated by this commodity organisation. Furthermore, the education level of South African commercial farmers is relatively high. All the variables were economically relevant and statistically significant at the 1% level, except the land variable, which was statistically significant at the 5% level. In addition, it was established that there was a structural change in the model during the period concerned. The impact of technology on sucrose yield was higher during 1959-1979, than either before or after this period. Remedies and violations to the classic normal linear regression model were considered. In particular, there was evidence of multicollinearity, as indicated by the high condition index and variance inflation factors. Multicollinearity was addressed using the technique of Ridge Regression (k=O,15).The R2 determined for this model was 83,43%. All the t-statistics, except for land, were statistically significant at the 1% level. The t-statistics describing the technology and production cost variables were higher in the Ridge Regression model. However, the land variable proved to be unstable using Ridge Regression, as the sign changed. This made it difficult to draw firm conclusions about the contribution of this variable. It was concluded that the Ridge regression model provided the best fit to the data. Finally, the rate of return to R&D investment in the sugar industry in South Africa was calculated. Cost-benefit analysis yielded a benefiUcost value of 1,61, when allowing for direct spillover effects to millers. Furthermore, the export realisation price for sugar was used in the calculation. Costs included those of production, harvesting and land. Using the three-year lag determined in this study, the internal rate of return in the South African sugar industry was estimated as 17{20%. This exceeds the discount rate in South African agriculture, the latter that is equal to 6%. In conclusion, this study makes the argument that even if a commodity displays public good characteristics, there may still be incentives for the private sector to invest, especially if research benefits can be internalised in the industry. A prime example of this situation may be seen in the sugar industry in South Africa, which is privately-funded by industry levies. This concept can be stretched to include other industries. Furthermore, this study established that there was sufficient statistical evidence to conclude, that there is a relationship between investment in R&D and increased productivity in the sugar industry in South Africa, at the 1% level of significance. In addition, it was determined that these investments yielded a high . rate of return. / AFRIKAANSE OPSOMMING: Hierdie studie oorweeg die belangrikheid van investering in navorsing en ontwikkeling vir verbeterde produktiwiteit in die landbousektor. In hierdie verband, sal sekere aspekte van navorsing en ontwikkelingsbeleggings bespreek word. Fokus· sal gegee word aan navorsingsintensiteit verhoudings and regeringsbestedings intensiteite in verskillende dele van die wêreld, vir beide ontwikkelde en ontwikkelende lande. Verder, sal die mate waarin die publieke- en privaatsektore betrokke is by investering in navorsing en ontwikkeling, oorweeg word. Verskillende aspekte van navorsing en ontwikkeling in landbou in Afrika word bespreek. Voorbeelde hiervan is die krisis in befondsing, motivering om te presteer, prioriteite en prosedures. Stappe vir hervorming word oorweeg. Vervolgens, word die volhoubaarheid van investering in navorsing en ontwikkeling beskou. Daar is verskillende rolle en verantwoordelikhede vir beide die publieke- en privaatsektore in hierdie verband. Verder, lê aspekte van befondsing, soos die genoegsaamheid daarvan, verandering in maniere van befondsing en verskillende meganismes van befondsing, onder die riem. Fokus sal gegee word aan die impak van publieke - en landbouregulasies op beide die vlak en tipe landbou investering wat waargeneem word. Navorsing en ontwikkelingsaktiwiteite beïnvloed 'n wye verskeidenheid van belangegroepe. Die mate waarin hierdie groepe geaffekteer word, word oorweeg. Die verwantskap tussen investering in navorsing en ontwikkeling en produktiwiteit in die suikerindustrie in Suid-Afrika word vervolgens beskou. Vorige ekonometriese artikels word bespreek, waarna modelle van meervoudige lineêre regressie bepaal word. Data vir die periode 1925-2001, wat produksie in die suikerindustrie beskryf, is verkry van die Suid-Afrikaanse Suiker Assosiasie Eksperiment Stasie. Die afhanklike veranderlike is opbrengs van sukrose, terwyl die onafhanklike veranderlikes na reënval, land onder suikerproduksie, produksiekostes en tegnologie verwys. Die tegnieke van gewone kleinste kwadrate en rif regressie (Ridge Regression) is gebruik. Deur die tegniek van gewone kleinste kwadrate te gebruik, is dit bepaal dat die sloer voor die voordele van navorsing en ontwikkeling inskop, drie jaar is. Dat die sloer wat bepaal is so kort is, kan gemotiveer word deur die feit dat die navorsing wat gedoen word deur die Eksperiment Stasie, van 'n toegepaste aard is. Verder is navorsing, opleiding en ekstensie is geïntegreer. Die vlak van opvoeding van Suid- Afrikaanse kommersiële boere is ook relatief hoog. AI die veranderlikes was ekonomies relevant en statisties beduidend by die 1% vlak, behalwe die veranderlike wat land onder suikerproduksie beskryf, wat beduidend was by die 5% vlak. Verder is dit bepaal, dat daar 'n strukturele verandering in die model ingetree het. Die impak van tegnologie was groter tydens die 1959-1979 periode, as vóór of ná hierdie tydperk. Daar is verskeie aannames wat gemaak word met die gebruik van 'n lineêre regressie model. Daar was tekens van multikolineariteit, soos duidelik deur die hoë waardes vir die kondisie indeks en variansie inflasie indeks aangedui is. Multikolineariteit is aangespreek deur die tegniek van rif regressie (k=0,15) te gebruik. Die R2 waarde wat vir hierdie model bepaal is, is 83,43%. AI die t-waardes, behalwe dié van land, was statisties beduidend by die 1% vlak. Dié veranderlike se koëffisiëntleken het met rif regressie, verander van negatief na positief. Siende dat die veranderlike geblyk het om onstabiel te wees, was dit moeilik om ferm beslissings oor die bydrae daarvan te lewer. Wanneer die rif regressie model vergelyk word met die model wat strukturele verandering beskryf met gewone kleinste kwadrate, is die t-waardes wat tegnologie en produksiekoste beskryf, heelwat hoër in die eersgenoemde model. Dit was beslis dat die rif regressie model die beste passing vir die data gebied het. Vervolgens is die terugkeerkoers tot investering in navorsing en ontwikkeling vir die suikerindustrie in Suid-Afrika bereken. Die beraamde waarde vir die voordeel/koste van navorsing en ontwikkeling was 1,61. Die voordeel wat deur suikerindustriemeulenaars verkry is, is in berekening gebring. Verder is die uitvoer realisasieprys vir suiker gebruik. Die kostes het dié van produksie, oes en geleentheidskoste van land ingesluit. Die interne terugkeerkoers vir die suikerindustrie in Suid-Afrika is bereken as 17,20%, inaggenome die drie jaar sloer voor die voordele van navorsing en ontwikkeling realiseer. Hierdie waarde is heelwat hoër as die verdiskonteringskoers in die Suid-Afrikaanse landboubedryf, wat beraam word op 6%. Ter samevatting, in hierdie studie word geargumenteer dat al sou 'n kommoditeit eienskappe van openbare goedere toon, daar tog motivering is vir die privaatsektor om te investeer, veral as die voordele van navorsing en ontwikkeling in die industrie self ge-internaliseer word. 'n Welsprekende geval hiervan is die suikerindustrie in Suid-Afrika wat privaat befonds word. Hierdie beginsel kan gestrek word om ander industrieë in te sluit. Verder was daar in hierdie studie oorweldigende statistiese bewyse, by die 1% vlak van beduidendheid, van 'n verwantskap tussen investering in navorsing en ontwikkeling in die suikerindustrie in Suid-Afrika en verhoogde produktiwiteit. Vervolgens was dit bepaal dat hierdie investerings 'n goeie terugkeerkoers gelewer het.

Thesis (M.B.A.)-Business Studies Unit, Durban Institute of Technology, 2004 x, 162 leaves / Customer satisfaction is a critical component of a business’ competitive strategy. The Cane Testing Service (CTS) division of the South African Sugar Association is operating in a deregulated market environment and thus has to ensure that customers are always satisfied with the quality of service received from CTS. This study aimed to establish the change in customer satisfaction levels between 1998 and 2003. The study set out to determine customer satisfaction levels with specific customer groupings of combined millers and growers, millers-only and growers-only of all fourteen Mill Group Boards. The study investigated customer satisfaction levels for each of the sixteen service characteristics for the fourteen Mill Group Boards. / M

Thesis (M.B.A.)-Business Studies Unit, Durban Institute of Technology, 2004 x, 162 leaves / Customer satisfaction is a critical component of a business’ competitive strategy. The Cane Testing Service (CTS) division of the South African Sugar Association is operating in a deregulated market environment and thus has to ensure that customers are always satisfied with the quality of service received from CTS. This study aimed to establish the change in customer satisfaction levels between 1998 and 2003. The study set out to determine customer satisfaction levels with specific customer groupings of combined millers and growers, millers-only and growers-only of all fourteen Mill Group Boards. The study investigated customer satisfaction levels for each of the sixteen service characteristics for the fourteen Mill Group Boards.

This study was conducted with the aim of investigating the trends and determinants of South Africa’s sugar production and exports within the TFTA between 1996 and 2014. The specific objectives of the study were (1) to identify trends in South Africa’s sugar production and exports within the TFTA between 1996 and 2014; (2) to determine the drift rate in South Africa’s sugar exports within the TFTA between 1996 and 2014; (3) to investigate the correlation between South Africa’s sugar production and exports between 1996 and 2014; and (4) to determine the factors that affect production and exports in South Africa’s sugar industry in order to identify the industry’s major challenges and opportunities for sustained performance. The secondary data, obtained from the Economic Analysis and Agricultural Statistics Directorate of the Department of Agriculture, Forestry and Fisheries (DAFF), were used to meet the first three objectives of the study. The primary data, obtained by means of a survey questionnaire and interviews with key stakeholders, were used to meet the fourth objective of the study. A 7-point Likert scale was applied to indicate the degree to which each of the determining factors are perceived to affect the performance and resulting competitiveness of the sugar industry. The Johansen test and Porter’s Diamond Model were the analytical techniques used in the study. The results of the analysis of the secondary data revealed continued fluctuations in sugar production in South Africa between 1996 and 2014. On the basis of this, the researcher rejected the hypothesis that there is no trend in South Africa’s sugar production. It was therefore concluded that seasonal variations accounted for these fluctuations in the sugar industry. As determined using the Johansen test, drift rate variations came to 51%, indicating that there is potential for growth in South Africa’s sugar exports. This was confirmed by the results of the bivariate correlation between production and exports which clearly indicated a positive relationship between the two and prompted the researcher to accept the hypothesis that there is a positive relationship between the production and export of sugar. In determining the factors that influence South Africa’s sugar production and exports, a number of obstacles to competitiveness success were identified. With regard to sugar production, applying Porter’s Diamond model revealed that the major constraints experienced by respondents in the study area were the availability of skilled labour; cost of doing business; level of infrastructure development; cost of infrastructure; water availability; climatic conditions; soil quality; rainfall patterns; availability of financial services; access to credit; crime; and HIV/AIDS. In terms of exports, tariffs were found to be the major constraint along with certain of the abovementioned factors. While the majority of respondents view macroeconomic policy and trade policy as export constraints, South Africa’s labour, B-BBEE and competition policies are seen as neither constraining nor supportive. Product design; packaging; labelling and pricing; as well as the manager’s willingness to export; level of education and training; length of time in the business; experience; and language had a positive effect on competitive success. / Agriculture, Animal Health and Human Ecology / M. Sc. (Agriculture)

The purpose of this paper was to examine the competitiveness of the South African sugar industry relative to the top ten exporters of the product, namely Brazil, Thailand, Netherlands, Mexico, China, Germany, Canada, France, Belgium and the United States of America. Different techniques were used in the study to ensure that the main objective of the study was achieved. Three popular indices, namely the Balassa Revealed Comparative Advantage (RCA#) Index, the Net Export Index (NXi) and the Relative Revealed Comparative Trade Advantage (RTA) Index were used to compare the competitiveness of the top ten sugar exporting countries including South Africa. The Trade Potential Index was also applied in the study to investigate markets that South Africa could use to increase its exports. Time series data collected on the trade map and the Food and Agricultural Organization of the United Nations were used for the analysis of the markets by using an Excel spreadsheet. The results of the study showed that South Africa has a trade competitive advantage against the majority of the countries considered. South Africa's competitive performance was surpassed by that of Brazil, which was the strongest trader of sugar, followed by Thailand and China. The remaining seven countries (Mexico, Belgium, Netherlands, Canada, Germany, USA and China) were all exceeded by the South African sugar industry. The top potential markets that South Africa could exploit to increase its exports were identified with the use of the Trade Potential Index (TPI). The countries that were identified were selected by calculating the scores, comparing tariffs imposed by these markets to the exporters of sugar and looking at the concentration of the markets that supply these potential markets. The United States of America, Lesotho, Democratic Republic of Congo, Malawi and Egypt were identified as the top five countries that South Africa could exploit for its sugar exports. South Africa has trade agreements with the majority of these countries which assist the country in obtaining preferential agreements when exporting its products to these countries. Recommendations were made that could help the sugar industry to grow its competitiveness. / Inhloso yaleliphepha bekukuhlola kuncintisana kwemboni yashukela yaseNingizimu Afrika nayicatsaniswa nebatfumeli ngaphandle labasembili labalishumi balomkhicito, lekuyiBrazil, iThailand, iNetherlands, iMexico, iChina, iGermany, iCanada, iFrance, iBelgium ne-United States of America. Kusetjentiswa emasu lahlukene kulesifundvo kucinisekisa kutsi inhloso lenkhulu yesifundvo iyaphunyelelwa. Kusetjentiswe ema-indice, lekuyi-Balassa Revealed Comparative Advantage (RCA#) Index, i-Net Export Index (NXi) kanye ne-Relative Revealed Comparative Trade Advantage (RTA) Index kucatsanisa kuncintisana kwalamave lasembili lalishumi lakhicita shukela kufaka ekhatsi eNingizimu Afrika. I-Trade Potential Index nayo isetjentisiwe kulesifundvo kuphenya timakethe letingasetjentiswa yiNingizimu Afrika kute ikhulise kutfumela ngaphandle kwayo lomkhicito washukela. Idatha yeluchungechunge lwesikhatsi legcogcwe kulibalave lekuhwebelana kanye naseNhlanganweni Yekudla Neyetekulima yaMhlab'uhlangene isetjentisiswe kuloluhlatiyo lwetimakethe ngekusebentisa si-spreadsheet se-Excel. Imiphumela yesifundvo ikhombise kwekutsi iNingizimu Afrika inekusitakala ngekuncintisana ekuhwebeni nayicatsaniswa nelinyenti lalamave lamanyenti lahlatiyiwe. Kusebenta kwekuncintisana kweNingizimu Afrika kundlulwe kusebenta kweBrazil, lebeyingumhwebi lomkhulu washukela, ilandzelwe yiThailand kanye neChina. Lamave lasikhombisa lasele (iMexico, iBelgium, iNetherlands, iCanada, iGermany, i-USA neFrance) onkhe andlulwe yimboni yashukela yaseNingizimu Afrika. Timakethe letingaba khona letiphambili leti iNingizimu Afrika ingatisebentisa kukhulisa kutfumela ngaphandle kwayo tibonwe ngekusebentisa iTrade Potential Index (TPI). Emave laboniwe akhetfwe ngekubala imiphumela, kucatsanisa ematharifu lafakwe nguletimakethe kubatfumeli bangaphandle bashukela nekubuka kulokucocana kwetimakethe lephakela letimakethe letingaba khona. I-United States of America, iLesotho, iDemocratic Republic of Congo, iMalawi ne-Egypt abonwe njengemave lasembili lasihlanu langasetjentiswa yiNingizimu Afrika kutfola ngaphandle shukela wayo. INingizimu Afrika inetivumelwano tekuhwebelana nelinyenti lalamave lokusita lelive ekutfoleni tivumelwano tekubekwa ngembili nangabe kutfunyelwa ngaphandle imikhicito yayo kulamave. Tiphakamiso letingasita imboni yashukela kukhulisa kuncintisana kwayo tentiwe. / Inhloso yalo mbhalo wocwaningo kwabe kuwukucubungula nokuhlaziya amandla okuncintisana ngempumelelo kwemboni kashukela yaseNingizimu Afrika uma iqhathaniswa namazwe ayishumi ahamba phambili emhlabeni ekuthumeleni imikhiqizo kashukela emazweni angaphandle, okuyi-Brazil, Thailand, Netherlands, Mexico, China, Germany, Canada, France, Belgium kanye neMelika (USA). Kulolu cwaningo kwasetshenziswa izindlela ezihlukahlukene ngenhloso yokuqinisekisa ukufezekiswa kwenjongo enkulu yocwaningo. Kwasetshenziswa izinkomba-simo ezintathu ezidumile futhi okuyizona ezisetshenziswa kakhulu, okuyi-Balassa Revealed Comparative Advantage (RCA#) Index, Net Export Index (NXi) kanye ne-Relative Revealed Comparative Trade Advantage (RTA) Index ukuqhathanisa amandla okuncintisana ngempumelelo kwamazwe ayishumi ahamba phambili emhlabeni ekuthumeleni ushukela emazweni angaphandle, kubandakanya neNingizimu Afrika. I-Trade Potential Index yasetshenziswa futhi nayo kulolu cwaningo ukuphenya nokucubungula izimakethe ezingasetshenziswa yiNingizimu Afrika ukukhulisa inani lemikhiqizo yayo ethunyelwa emazweni angaphandle. Idatha eqoqwe ochungechungeni lwamaqophelo alandelana ngokwesikhathi ebalazweni lokuhwebelana kanye naseNhlanganweni Yokudla NezolimoyeNhlangano Yezizwe yasetshenziselwa ukuhlaziya izimakethe ku-Excel spreadsheet. Imiphumela yocwaningo yabonisa ukuthi iNingizimu Afrika isesimweni esikahle futhi inamandla angcono okuncintisana ngempumelelo kwezohwebo uma iqhathaniswa neningi lamazwe acutshungulwayo. Amandla eNingizimu Afrika okuncintisana ngempumelelo adlulwa yilawo e-Brazil, okuyizwe elinamandla kakhulu futhi elihamba phambili kwezokuhwebelana ngoshukela, kulandele i-Thailand kanye ne-France. Imboni kashukela yaseNingizimu Afrika inamandla angaphezulu kwawo wonke lawa amanye amazwe asele ayisikhombisa (okuyi-Mexico, Belgium, Netherlands, Canada, Germany, USA kanye ne-China). Amazwe ahamba phambili angasetshenziswa yiNingizimu Afrika ekukhuphuleni umthamo wemikhiqizo yayo ethunyelwa emazweni angaphandle ahlonzwa ngokusebenzisa i-Trade Potential Index (TPI). Lawo mazwe ahlonziwe akhethwe ngokubala inani lamaphuzu, ukuqhathanisa intela yempahla ekhokhiswa yilawo mazwe emazweni angaphandle athumela ushukela kanye nokubheka ubuningi bamazwe athumela imikhiqizo yawo kulawo mazwe angasetshenziswa yiNingizimu Afrika ukukhulisa umthamo wemikhiqizo yawo ethunyelwa emazweni angaphandle. I-USA, Lesotho, Democratic Republic of Congo, Malawi kanye ne-Egypt ahlonzwa njengamazwe aphuma phambili iNingizimu Afrika engathumela kuwona ushukela. INingizimu Afrika inezivumelwano zokuhwebelana neningi lalawa mazwe, okuyizivumelwano eziyilekelelayo ekutholeni izivumelwano ezizokwenza ibhekelelwe kangcono futhi icatshangelwe uma ithumela imikhiqizo yayo kulawa mazwe angaphandle. Kwenziwa izincomo ezingayilekelela imboni kashukela ukuthi ikwazi ukukhulisa amandla ayo okuncintisana ngempumelelo. / Agriculture and  Animal Health / M. Sc. (Agriculture)