dc.contributor.advisor |
Mpofu, R. T. (Raphael T.) |
|
dc.contributor.author |
Mtetwa, Arnold
|
|
dc.date.accessioned |
2022-10-05T11:45:40Z |
|
dc.date.available |
2022-10-05T11:45:40Z |
|
dc.date.issued |
2022 |
|
dc.identifier.uri |
https://hdl.handle.net/10500/29428 |
|
dc.description |
Abstracts in English, Zulu and Sesotho |
en |
dc.description.abstract |
Despite policy measures aimed at improving the performance of commercial banks
and their contribution to economic growth, little progress has been made in reviving
the Zimbabwean economy. The effective function of banking as an essential sector in
Zimbabwe is crucial to the promotion of the economic growth of the country. To
achieve this objective, the study used agriculture, manufacturing, mining, individuals,
finance and other sectors as independent variables using monthly data. The previous
empirical examination of the connection of the relationship is anchored on aggregate
economic growth (proxied GDP), on the assumption that each economic sector
responds similarly to GDP. However, the degree of credit utilisation and productivity
of credit may not homogeneously remain the same across sectors. Therefore, this
study seeks to contribute to the literature by examining the interaction between bank
lending through sectoral credit allocation (SCA) and economic growth. The study
employed the Augmented Dickey-Fuller (ADF) to test for stationarity in the time series.
Johansen cointegration, the vector autoregressive model and the vector error
correction model were used to identify the long-run and short-run dynamics among
variables. The Granger causality test was used to determine the causal direction. In
the context of this study, monthly time series data were used to examine the interaction
between sectors of the economy and economic growth in Zimbabwe during the period
2010–2021. The study used secondary data from the Reserve Bank of Zimbabwe
(RBZ). As a result, ADF has been enhanced.
The Johansen cointegration test, on the other hand, demonstrated a long-run link
between the variables. Credit allocation to the agriculture, industrial, and mining
sectors grew the economy, but credit allocation to individuals, the banking industry, and other sectors did not. The findings imply that policymakers, government, and
financial regulators must promote financial allocation to agriculture, mining and
manufacturing as critical for economic transformation. The banks must ensure that
more credits flow to the mining, manufacturing, and agricultural sectors to promote
growth for all economic sectors. Understanding the relationship between SCA and
economic growth is critical, as it informs authorities to properly allocate resources and
obtain proportionate returns. |
en |
dc.description.abstract |
Naphezu kwezinyathelo zengqubomgomo ezihlose ukuthuthukisa ukusebenza
kwamabhange ebhizinisi kanye negalelo lawo ekukhuleni komnotho, incane
inqubekelaphambili eseyenziwe ekuvuseleleni umnotho weZimbabwe. Ukusebenza
kahle kwamabhange njengomkhakha obalulekile eZimbabwe kubalulekile
ekukhuthazeni ukukhula komnotho wezwe. Ukufeza le nhloso, ucwaningo lusebenzise
ezolimo, ezokukhiqiza, ezezimayini, abantu ngabanye, ezezimali kanye neminye
imikhakha njengokuguquguquka okuzimele kusetshenziswa imininingwane yanyanga
zonke. Ukuhlolwa kwangaphambilini kobuhlakani bokuxhunywa kobudlelwano
kusekelwe ekukhuleni komnotho okuhlanganisiwe (igunya le-GDP lokusebenzela
omunye), kucatshangwa ukuthi umkhakha wezomnotho ngamunye uphendula
ngendlela efanayo kwi-GDP. Kodwa-ke, izinga lokusetshenziswa kwamanani
akweletwayo kanye nokukhiqiza kwesikweletu kungenzeka kungahlali ngokufanayo
kuzo zonke izigaba. Ngakho-ke, lolu cwaningo luhlose ukufaka isandla emibhalweni
ngokuhlola ukusebenzisana phakathi kokubolekwa kwebhange ngokusebenzisa
ukwabiwa kwezezimali ngokwemikhakha (SCA) kanye nokukhula komnotho.
Ucwaningo lusebenzise ukuhlola ukuthi impande yeyunithi ikhona kusampula
yochungechunge lwesikhathi (ADF) ukuze ihlole ukuma ochungechungeni
lwesikhathi. Indlela yokunquma ukuthi uchungechunge lwesikhathi oluthathu noma
ngaphezulu luhlanganisiwe, isilinganiso esisetshenziselwa uchungechunge
lwesikhathi esibandakanya amanani aguquguqukayo amabili noma ngaphezulu,
kanye nesilinganiso esiguquguqukayo esimile ekwehlukeni kwaso kusetshenziswe
ukuhlonza amandla esikhathi eside kanye nesikhathi esifushane phakathi
kokuguquguqukayo. Ukuhlolwa komqondo wezibalo wembangela osuselwe ekubikezelweni
kwasetshenziswa ukuze kutholwe isiqondiso sembangela. Kulolu cwaningo,
imininingwane yochungechunge lwesikhathi lwanyanga zonke yasetshenziswa
ukuhlola ukuxhumana phakathi kwemikhakha yomnotho nokukhula komnotho
eZimbabwe phakathi nesikhathi sika-2010-2021. Lolu cwaningo belusebenzisa
imininingwane yesibili evela ebhanga elikhulu lezwekazi laseZimbabwe (RBZ).
Ngenxa yalokho, i-ADF iye yathuthukiswa.
Ukuhlolwa kokunquma ukuthi uchungechunge lwesikhathi oluthathu noma
ngaphezulu luhlanganisiwe, ngakolunye uhlangothi, kubonise ukuxhumana okuhlala
isikhathi eside phakathi kokuguquguqukayo. Ukwabiwa kwezikweletu emkhakheni
wezolimo, izimboni, kanye nezimayini kwawukhulisa umnotho, kodwa ukwabiwa
kwezikweletu kubantu ngabanye, imboni yamabhange, neminye imikhakha akuzange
kube njalo. Imiphumela isho ukuthi abenzi bezinqubomgomo, uhulumeni, nabalawuli
bezezimali kumele bakhuthaze ukwabiwa kwezimali kwezolimo, ezezimayini
nezokukhiqiza njengento ebalulekile ekuguquleni umnotho.
Amabhange kumele aqinisekise ukuthi izikweletu eziningi ziyangena emkhakheni
wezimayini, wezokukhiqiza kanye nowezolimo ukuze kuthuthukiswe ukukhula kwayo
yonke imikhakha yezomnotho. Ukuqonda ubudlelwano phakathi kwe-SCA nokukhula
komnotho kubalulekile, njengoba kuzisa iziphathimandla ukuthi zabele izinsiza
ngendlela efanele futhi zithole izinzuzo ezilinganayo. |
zul |
dc.description.abstract |
Leha hona le mehato ya dipholisi e reretsweng ho ntlafatsa tshebetso ya dibanka tsa
kgwebo le tlatsetso ya tsona kgolong ya moruo, ho bile le kgatelopele e nyane haholo
tsosolosong ya moruo wa Zimbabwe. Tshebetso e ntle ya ho banka jwalo ka lekala la
bohlokwa Zimbabwe e bohlokwahadi ntlafatsong ya kgolo ya moruo wa naha. Ho
fihlella maikemisetso ana, phuputso e sebedisitse temo, tlhahiso, dimmaene, batho ka
bo mong, ditjhelete le makala a mang jwalo ka ditshupo tse ikemetseng tsa ho fapana
ka tshebediso ya datha ya kgwedi le kgwedi. Tlhahlobo e fetileng e itshetlehileng
hodima bopaki ya kgokahano ya kamano e thehilwe hodima kgolo ya moruo ya
palohare (GDP e emetsweng), ka tumelo ya hore lekala ka leng la moruo le arabela
ka tsela e tshwanang ho GDP. Leha ho le jwalo, botebo ba tshebediso ya mokitlane
le tlhahiso ya mokitlane di kanna tsa se dule di tshwana ho pharalla le makala. Kahoo,
phuputso ena e batla ho tlatselletsa ho dingolwa ka ho hlahloba kamano pakeng tsa
kadimo tsa dibanka ho ya kabo ya mokitlane ka makala (SCA) le kgolo ya moruo.
Phuputso e sebedisitse Augmented Dickey-Fuller (ADF) ho etsa teko ya ho se fetohe
letotong la nako. Johansen cointegration, e leng mmotlolo wa vector autoregressive
le mmotlolo wa tokiso ya phoso ya vector di sebedisitswe ho hlwaya dintlha tsa nako
e telele le tsa nako e kgutshwane hara diphaphano. Teko ya Granger causality e
sebedisitwe ho fumana tsela ya lebaka. Sebakeng sa phuputso ena, ho sebedisitswe
data ya nako ya letoto la kgwedi le kgwedi ho hlahloba kamano pakeng tsa makala a
moruo le kgolo ya moruo Zimbabwe pakeng tsa 2010–2021. Phuputso e sebedisitse
datha ya bobedi ho tswa ho Banka Resefe ya Zimbabwe (RBZ). Ka tsela eo, ADF e
ntlafaditswe. Teko ya Johansen cointegration, ka lehlakoreng le leng, e bontshitse kgokahano ya
nako e telele pakeng tsa diphaphano. Kabo ya mokitlane ho makala a temo, tlhahiso,
le dimmaene e hodisitse moruo, empa kabo ya mokitlane ho batho ka bo mong,
indasteri ya dibanka, le makala a mang ha e ya hodisa moruo. Diphetho di supa hore
baetsi ba melawana, mmuso le balaodi ba ditjhelete ba tlameha ho ntlafatsa kabo ya
ditjhelete ho tsa temo, dimmaene le tlhahiso hobane di bohlokwa bakeng sa phetoho
ya moruo. Dibanka di lokela ho netefatsa hore mokitlane o eketsehileng o leba ho
makala a dimmaene, tlhahiso, le temo e le ho ntlafatsa kgolo bakeng sa makala ohle
a moruo. Ho utlwisisa kamano pakeng tsa SCA le kgolo ya moruo ho bohlokwa,
hobane e lebisa ho kabo e nepahetseng ya dihlahiswa le disebediswa ke ba
ikarabellang le ho phumano ya dipoello tse loketseng. |
sso |
dc.format.extent |
1 online resource (281 leaves) : illustrations (some color) |
|
dc.language.iso |
en |
en |
dc.subject |
Bank credit |
en |
dc.subject |
Causality test |
en |
dc.subject |
Economic growth (GDP) |
en |
dc.subject |
Credit allocation |
en |
dc.subject |
VAR |
en |
dc.subject |
VECM |
en |
dc.subject |
Zimbabwe |
en |
dc.subject |
Financial institutions |
en |
dc.subject |
Cointegration |
en |
dc.subject |
Finance |
en |
dc.subject |
Private credit |
en |
dc.subject |
Ibhange lesikweletu |
zul |
dc.subject |
Ukuhlolwa komqondo wezibalo wembangela osuselwe ekubikezelweni |
zul |
dc.subject |
Ukukhula komnotho |
zul |
dc.subject |
Ukwabiwa kwesikweletu |
zul |
dc.subject |
Uchungechunge lwesikhathi esibandakanya amanani aguquguqukayo amabili noma ngaphezulu |
zul |
dc.subject |
Isilinganiso esiguquguqukayo esimile ekwehlukeni kwaso |
zul |
dc.subject |
iZimbabwe |
zul |
dc.subject |
Imikhakha yezezimali |
zul |
dc.subject |
Ukuhlolwa kwemininingwane ukuthola uma kukhona ubudlelwano phakathi kochungechunge olubili noma ngaphezulu oluhlobene nesikhathi |
zul |
dc.subject |
Ezezimali |
zul |
dc.subject |
Indlela yamabhizinisi yokukhulisa imali |
zul |
dc.subject |
Mokitlane wa banka |
sso |
dc.subject |
Teko ya mabaka |
sso |
dc.subject |
Kgolo ya moruo (GDP) |
sso |
dc.subject |
Kabo ya mokitlane |
sso |
dc.subject |
Ditsi tsa ditjhelete |
sso |
dc.subject |
Teko ya dipalopalo (cointegration) |
sso |
dc.subject |
Ditjhelete |
sso |
dc.subject |
Mokitlane wa poraefete |
sso |
dc.subject.ddc |
332.1096891 |
|
dc.subject.lcsh |
Bank loans -- Zimbabwe |
en |
dc.subject.lcsh |
Credit - Management -- Zimbabwe |
en |
dc.subject.lcsh |
Financial institutions -- Zimbabwe |
en |
dc.subject.lcsh |
Financial services industry -- Zimbabwe |
en |
dc.subject.lcsh |
Business enterprises -- Zimbabwe -- Finance |
en |
dc.subject.lcsh |
Gross domestic product -- Zimbabwe |
en |
dc.subject.lcsh |
Credit -- Zimbabwe |
en |
dc.subject.lcsh |
Finance -- Zimbabwe |
en |
dc.title |
The interactions between sectoral credit allocation decisions and economic growth: an empirical study of Zimbabwe |
en |
dc.title.alternative |
Ukuxhumana phakathi kwezinqumo zokukwabiwa kwezezimali nokukhula komnotho: ucwaningo olusekelwe ekuqapheliseni nasekukalweni kwezimo ZaseZimbabwe |
zul |
dc.title.alternative |
Mateano pakeng tsa diqeto tsa kabo ya mokitlane ho ya lebatowa le kgolo ya moruo: phuputso e itshetlehileng hodima bopaki mabapi le Zimbabwe |
sso |
dc.type |
Thesis |
en |
dc.description.department |
Finance, Risk Management and Banking |
en |
dc.description.degree |
D. Phil. (Management Studies) |
|