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Tytuł:
Analysis of the impact of selected economic variables on sorghum prices in Nigeria
Autorzy:
Ajibade, Toyin Benedict
Ayinde, Opeyemi Eyitayo
Abdoulaye, Tahirou
Ojoko, Emmanuel Ada
Powiązania:
https://bibliotekanauki.pl/articles/952113.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
autocorrelation
cochrane-orcutt procedure
cereal
cointegration
error correction model
time series
Opis:
Nigeria is the world’s leading producer of sorghum intended for use as food grain. Likewise, there has been growing industrial demand for sorghum in the livestock breeding and brewery sectors. As sorghum prices have been on the increase, it becomes pertinent to identify the determinants of this development in order to nip the imminent food crisis in the bud. This study relied on time series data spanning from 1970 to 2015 retrieved from FAOSTAT and World Bank databases. Analytical methods employed include the unit root test, cointegration test and error correction mechanism. The diagnostic tests indicated the presence of autocorrelation which was subsequently adjusted with the Cochrane-Orcutt procedure. Subsequent tests indicated that variables fit well to the model. As shown by the ADF unit root test, the modeled variables were non-stationary but became stationary after first differencing. At a significance level of 5%, the sorghum price was determined by gross domestic product (GDP), annual money supply, official exchange rate and crude oil price, both in the long and short run, whereas the lagged price of sorghum also had an effect on prices in the short run. The study recommends that macroeconomic variables such as GDP, annual money supply and official exchange rate be taken cognizance of when planning the agricultural development in Nigeria.
Źródło:
Journal of Agribusiness and Rural Development; 2017, 46, 4; 723-729
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The influence of money supply on inflation in Nigeria
Autorzy:
Amassoma, Ditimi
Sunday, Keji
Onyedikachi, Emma-Ebere
Powiązania:
https://bibliotekanauki.pl/articles/522429.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Central Bank of Nigeria
Error correction model
Granger causality
Opis:
Aim/purpose – The aim of this study is to empirically investigate the influence of money supply on inflation in Nigeria. The study was borne out of the curiosity to reexamine the immediate cause of the alarming rate of inflation in Nigeria which is adversely affecting the general welfare of Nigerian populace. Design/methodology/approach – The study employed co-integration test and error correction approach on annual time series data spanning from 1970 to 2016 to ascertain both the long run and short run dynamics relationship among the variables under consideration. Findings – The results showed that money supply does not considerably influence inflation both in the long and short run possibly because the country is in recession. The error correction model has the correct sign of negative and it is significant meaning that about 21% of the errors are corrected yearly. The Granger causality outcome demonstrates that, there is no causality between money supply and inflation in Nigeria within the study period and vice-versa. Research implications/limitations – The implication of this is often that there are different economic conditions which are key determinant of inflation in Nigeria. The study recommends that the government should diversify the economy, minimise importation by encouraging local production of products and services. The Central Bank of Nigeria should guarantee an exchange rate policy that is essentially determined by the state of the economy and not by speculators being a net importation economy. Also, the Central Bank of Nigeria should look inwards into the current interest rate and see how it can be regulated in such a way that will encourage private and foreign investors to be able to invest in the country. This in turn, successively increases income, infrastructure development and economic growth at large. Originality/value/contribution – This paper has been able to confirm that money supply is not a key factor that trigger up inflation in Nigeria.
Źródło:
Journal of Economics and Management; 2018, 31; 5-23
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling Nigerian Government Revenues and Total Expenditure: Combined Estimators’ Analysis and Error Correction Model Approach
Autorzy:
Ayinde, Kayode
Bello, Aliyu A.
Ayinde, Opeyemi E.
Adekanmbi, Damilola B.
Powiązania:
https://bibliotekanauki.pl/articles/2076559.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
unit root test
cointegration test
combined estimators
error correction model
feasible generalized linear estimators
Opis:
The national total expenditure of a country is precipitated on several factors of which revenue generated could be one and very significant. This paper therefore examines the contribution of some selected sources of Nigerian government revenue to total national expenditure. Statistical and econometric techniques used for the data analysis are unit root test, cointegration test, combined estimators’ analysis, the error correction model (ECM) and the feasible generalized linear (FGLS) estimators. Results showed that the variables are non stationary but are stationary at first difference. The long-run relationship of total expenditure on oil revenue, non-oil revenue, federation account and federal retained revenue revealed that the variables are cointegrated and required the use of combined estimators. The effect of nonoil revenue and federal retained revenue is very significant. Investigations on the short-run modeling necessitated the use of FGLS estimators. The effect of ECM and federal retained revenue is very significant. Consequently, other sources of revenue apart from federal retained revenue need to be enhanced and tailored towards improving economic growth and development through national expenditure.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2015, 1; 1-14
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wpływ światowych cen ropy naftowej na ceny w Polsce
World oil price impact on prices in Poland
Autorzy:
Baranowski, Paweł
Sztaudynger, Jan Jacek
Powiązania:
https://bibliotekanauki.pl/articles/424758.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
oil price
producer price
consumer price
Vector Error Correction Model
Opis:
The world oil price is an exogenous as well as key component and factor influencing domestic prices (especially transportation). The question is: how the oil price influences producer and consumer prices. We focus on a short- and long-term relationship between the domestic prices and oil price (expressed in Polish zloty). We use Vector Error Correction Models, with cost-based specification, i.e. including additionally wages and euro-zloty exchange rate. The degree of estimated long-term pass-through oil prices to producer and consumer prices is 0,15 and 0,05, respectively. Both producer and consumer prices have comparable size of short-term reaction to an oil price shock, but the producer price reaction is more prolonged.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 2(44); 9-16
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of climate variability on yield of maize and yam in Cross River State, Nigeria: An autoregressive distributed lag bound approach
Autorzy:
Edet, E. O.
Udoe, P. O.
Isong, I. A.
Abang, S. O.
Ovbiroro, F. O.
Powiązania:
https://bibliotekanauki.pl/articles/1031443.pdf
Data publikacji:
2021
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Sustainable development
error correction model
food security
yield
Opis:
The study examined the impact of climate variability on yield of maize and yam in Cross River State, Nigeria. The specific objectives of the study were to determine the long-run and short-run impact of climate variability factors on yields of maize and yam. Data were sourced from the Nigerian Meteorological Agency (NiMeT) and Cross River State Ministry of Agriculture spanning from 1990-2016. Data obtained were analyzed using inferential statistics. Precisely, the model was estimated by the Ordinary Least Squares (OLS) multiple regression technique, which is within the Autoregressive Distributed Lag Bound approach and error correction testing framework. Both model-1 (maize yield) and model-2 (yam yield) passed through the conditions of the diagnostics and stability test. The study revealed that climate variables had a significant impact on maize yield both in the long and short-run. Based on the findings, it was concluded that proactive measures should be put in place to aid crop farmers adapt to the prevailing and looming threats of climate variability for the purpose of attaining the State’s food security balance sheet. To sustain this drive, an institutional and infrastructural support system is advocated in order to meet one of the goals of sustainable development agenda of the United Nations. Policy recommendations on how to cushion the impact of climate variability on the prescribed crops have been appropriately cited.
Źródło:
World News of Natural Sciences; 2021, 36; 60-74
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of budget deficits and macroeconomic fundamentals: A VAR-VECM approach
Autorzy:
Epaphra, Manamba
Powiązania:
https://bibliotekanauki.pl/articles/522020.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Budget deficit
Macroeconomic variables
Vector Autoregression
Vector Error-Correction Model
Opis:
Aim/purpose – This paper examines the relationship between budget deficits and selected macroeconomic variables in Tanzania for the period spanning from 1966 to 2015. Design/methodology/approach – The paper uses Vector autoregression (VAR) – Vector Error Correction Model (VECM) and variance decomposition techniques. The Johansen’s test is applied to examine the long run relationship among the variables under study. Findings – The Johansen’s test of cointegration indicates that the variables are cointegrated and thus have a long run relationship. The results based on the VAR-VECM estimation show that real GDP and exchange rate have a negative and significant relationship with budget deficit whereas inflation, money supply and lending interest rate have a positive one. Variance decomposition results show that variances in the budget deficits are mostly explained by the real GDP, followed by inflation and real exchange rate. Research implications/limitations – Results are very indicative, but highlight the importance of containing inflation and money supply to check their effects on budget deficits over the short run and long-run periods. Also, policy recommendation calls for fiscal authorities in Tanzania to adopt efficient and effective methods of tax collection and public sector spending. Originality/value/contribution – Tanzania has been experiencing budget deficit since the 1970s and that this budget deficit has been blamed for high indebtedness, inflation and poor investment and growth. The paper contributes to the empirical debate on the causal relationship between budget deficits and macroeconomic variables by employing VAR-VECM and variance decomposition approaches.
Źródło:
Journal of Economics and Management; 2017, 30; 20-57
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Slowdown or Recession? Forecasts Based on Composite Leading Indicator
Autorzy:
Klúcik, Miroslav
Juriová, Jana
Powiązania:
https://bibliotekanauki.pl/articles/483289.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Global economic crisis
recession
composite leading indicator
ARIMAX model
error correction model
Opis:
The economy of Slovakia experienced a turning point in the 1st half of 2008 and entered a phase of decline. The negative impacts of the global economic crisis became evident in the 2nd half of 2008 and led into a recession in the 1st quarter of 2009. The composite leading indicator was originally intended for forecasting of business cycle turning points between the decline and growth phases. The aim of this paper is to transform the qualitative information from composite leading indicator into quantitative forecast and verify whether the beginning of recession in Slovakia could have been identified in advance. The ARIMAX and error correction models are used for the composite reference series and GDP forecasts respectively. The final result shows that the composite leading indicator is useful not only for identifying turning points, but also for the prediction of recession phase.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2010, 2, 1; 17-36
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelowanie wpływu nierówności płac na wzrost gospodarczy
Wage Disparities and Economic Growth
Autorzy:
Kumor, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/574833.pdf
Data publikacji:
2008-08-31
Wydawca:
Szkoła Główna Handlowa w Warszawie. Kolegium Analiz Ekonomicznych
Tematy:
wage disparities
economic growth
Lorenz ratio
co-integration analysis
error correction model
Opis:
The paper looks at the key economic and social factors that lead to wage disparities and at the same time contribute to economic growth. The author evaluates the influence of wage disparities on Poland’s economic growth in 1985-2006. Kumor measures the uneven distribution of wages with the Lorenz concentration ratio, and he also uses research methods such as a co-integration analysis and an error correction model. The analysis has confirmed the existence of a long-term cause-and-effect relationship between employment, investment, wage disparities and GDP growth.
Źródło:
Gospodarka Narodowa. The Polish Journal of Economics; 2008, 225, 7-8; 43-61
2300-5238
Pojawia się w:
Gospodarka Narodowa. The Polish Journal of Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Asymmetric Price Adjustments in the Fuel Market
Autorzy:
Leszkiewicz-Kędzior, Katarzyna
Welfe, Aleksander
Powiązania:
https://bibliotekanauki.pl/articles/483283.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
threshold cointegration
threshold error correction model
asymmetric price adjustment
fuel price transmission
Opis:
The purpose of the article is to verify a hypothesis about the asymmetric pass-through of crude oil prices to the selling prices of refinery products (unleaded 95 petrol and diesel oil). The distribution chain is considered at three levels: the European wholesale market, the domestic wholesale market and the domestic retail market. The error correction model with threshold cointegration proved to be an appropriate tool for making an empirical analysis based on the Polish data. As found, price transmission asymmetry in the fuel market is significant and its scale varies depending on the level of distribution. The only exception is the wholesale price transmission to the domestic refinery price. All conclusions are supported by the cumulative response functions. The analysis sheds new light on the price-setting processes in an imperfectly competitive fuel market of a medium-sized, non-oil producing European country in transition.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2014, 2; 105-127
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An improved GM(1.1) model with background value optimization and Fourier-series residual error correction and its application in cost forecasting of coal mine
Ulepszony model GM(1,1) z optymalizacją wartości tła i korekcją błędów resztkowych szeregów Fouriera oraz jego zastosowanie w prognozowaniu kosztów kopalni węgla kamiennego
Autorzy:
Liu, Di
Li, Guoqing
Chanda, Emmanuel K.
Hu, Nailian
Ma, Zhaoyang
Powiązania:
https://bibliotekanauki.pl/articles/216495.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN
Tematy:
cost forecasting
dynamic grey model
background value optimization
Fourier series
residual error correction
prognozowanie kosztów
dynamiczny model szary
optymalizacja wartości tła
korekcja błędów resztkowych
szeregi Fouriera
Opis:
This paper researches the application of grey system theory in cost forecasting of the coal mine. The grey model (GM(1.1)) is widely used in forecasting in business and industrial systems with advantages of minimal data, a short time and little fluctuation. Also, the model fits exponentially with increasing data more precisely than other prediction techniques. However, the traditional GM(1.1) model suffers from the poor anti-interference ability. Aimed at the flaws of the conventional GM(1.1) model, this paper proposes a novel dynamic forecasting model with the theory of background value optimization and Fourier-series residual error correction based on the traditional GM(1.1) model. The new model applies the golden segmentation optimization method to optimize the background value and Fourier-series theory to extract periodic information in the grey forecasting model for correcting the residual error. In the proposed dynamic model, the newest data is gradually added while the oldest is removed from the original data sequence. To test the new model’s forecasting performance, it was applied to the prediction of unit costs in coal mining, and the results show that the prediction accuracy is improved compared with other grey forecasting models. The new model gives a MAPE & C value of 0.14% and 0.02, respectively, compared to 1.75% and 0.37 respectively for the traditional GM(1.1) model. Thus, the new GM(1.1) model proposed in this paper, with advantages of practical application and high accuracy, provides a new method for cost forecasting in coal mining, and then help decision makers to make more scientific decisions for the mining operation.
W pracy zbadano zastosowanie teorii szarego systemu w prognozowaniu kosztów kopalni węgla. Szary model (GM(1,1)) jest szeroko wykorzystywany w prognozowaniu w systemach biznesowych i przemysłowych z niewielką ilością danych, krótkim czasem i nieznacznymi wahaniami. Ponadto model dopasowuje wykładniczo dane bardziej dokładnie niż inne techniki prognozowania. Jednak tradycyjny model GM(1,1) ma słabą zdolność przeciwdziałania zakłóceniom. Mając na uwadze wady konwencjonalnego modelu GM(1,1), w artykule zaproponowano – w oparciu o tradycyjny model GM(1,1) – nowy model dynamicznego prognozowania z teorią optymalizacji wartości tła i korektą błędów resztkowych szeregów Fouriera. Nowy model stosuje metodę optymalizacji złotej segmentacji do optymalizacji wartości tła oraz teorię szeregów Fouriera w celu wyodrębnienia okresowych informacji w szarym modelu prognozowania, aby skorygować błąd resztkowy. W proponowanym modelu dynamicznym najnowsze dane są stopniowo dodawane, podczas gdy najstarsze – usuwane z oryginalnej sekwencji danych. Aby przetestować dokładność prognozowania nowego modelu, zastosowano go do prognozowania kosztów jednostkowych pozyskania węgla, a wyniki pokazują, że dokładność prognozowania jest lepsza w porównaniu z innymi szarymi modelami prognozowania. Nowy model daje wartości MAPE & C wynoszące odpowiednio 0,33% i 0,07, w porównaniu z odpowiednio 1,1% i 0,3 dla tradycyjnego modelu GM(1,1). Zatem zaproponowany w artykule, ulepszony model GM(1,1) z zaletami praktycznego zastosowania i wysoką dokładnością, jest nową metodą prognozowania kosztów w górnictwie węgla, która ułatwia decydentom podejmowanie decyzji ugruntowanych naukowo dotyczących operacji pozyskania węgla.
Źródło:
Gospodarka Surowcami Mineralnymi; 2019, 35, 3; 75-98
0860-0953
Pojawia się w:
Gospodarka Surowcami Mineralnymi
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of international trade on employment in orange industry of South Africa
Autorzy:
Molepo, Nkoti Solly
Belete, Abenet
Hlongwane, Jan
Powiązania:
https://bibliotekanauki.pl/articles/1886408.pdf
Data publikacji:
2021-07-04
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
South African orange industry
employment, wages
international trade
Johansen cointegration
vector error
correction model
Opis:
The purpose of the study is to analyse the long-run and short-run dynamic relations amongst total employment (lnEMPGt), export output (EXPOt) and import output (IMPOt) from 1990 to 2018, by applying a time-series analysis. The study adopts the secondary data for total employment from the Citrus Growers Association of South Africa, while both export and import output were sourced from the Global Trade Atlas. The multivariate cointegration approach is adopted in the study to identify any causal relationships amongst the concerned variables. The chosen optimum lag selection criterion was the Akaike Information Criterion (AIC) due to its association dependence on the log-likelihood ratio. The third lag was selected for the entire analysis. The results from the cointegration test and the Vector Error Correction Model (VECM) suggest a positive long-run effect between total employment and export output, while import output is negatively associated with total employment. The adjustment term of lnEMPGt, EXPOt and IMPOt suggests that the previous year’s errors are corrected for the current year at a convergence speed of 0.002, 1.11 and 25.37 percentage points, respectively. The results of the Granger causality test show that there are bidirectional causality effects between export output and total employment in the long run, while there are no causality effects between import output and total employment. The overall conclusion is that export outputs positively impact employment, while import outputs impact it negatively in the South African orange industry.
Źródło:
Journal of Agribusiness and Rural Development; 2021, 60, 2; 193-201
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The response of Zimbabwe tobacco exports to real exchange rates volatility
THE RESPONSE OF ZIMBABWE TOBACCO EXPORTS TO REAL EXCHANGE RATES VOLATILITY
Autorzy:
Mutodi, Knowledge
Chuchu, Tinashe
Maziriri, Eugine Tafadzwa
Powiązania:
https://bibliotekanauki.pl/articles/1892227.pdf
Data publikacji:
2020-07-08
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
Real exchange rate (RER)
Real exchange rate volatility (RERV)
Vector error correction model (VECM)
Opis:
The focus of this study was on investigating the response of tobacco exports to real exchange rates and real exchange rate volatility and other factors in Zimbabwe using secondary data spanning from 1980 to 2019. Bilateral nominal exchange rates and time-variant weights of Zimbabwe’s 10 major trading partners were calculated and used to compute the real exchange rate index. The time-dependent weighting system was used to better represent the evolution of trade patterns in the index. The arithmetic method was employed for computing the index. Generalized autoregressive conditional heteroskedasticity (GARCH) and autoregressive conditional heteroscedasticity (ARCH) models were used to generate the real exchange rate volatility index. The export response function was adopted as the tobacco exports response model. The variables in the tobacco exports response model were the realworld Gross Domestic Product (GDP), real exchange rate, terms of trade, real exchange rate volatility and dollarization. A vector error correction model (VECM) was used to estimate the response of tobacco exports to real exchange rate, real exchange rate volatility and other factors. The VECM results indicated that real world GDP was insignificant in both the short and long run. In the long run, the real exchange rate appreciation had a negative impact on tobacco exports. Conversely, in the short run, the depreciation of real exchange rate had a positive impact on tobacco exports. Hence, the government has to adopt other mechanisms that reduce uncertain movements of exchange rates.
Źródło:
Journal of Agribusiness and Rural Development; 2020, 56, 2; 201-219
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jednomianowy model liczby Nusselta w pomiarze zmiennej temperatury metodą "w ciemno" przy niestacjonarnych przepływach
Monomial model of Nusselt number in case of time-varying temperature measurements with the “blind” correction method
Autorzy:
Nabielec, J.
Jamróz, P.
Powiązania:
https://bibliotekanauki.pl/articles/267356.pdf
Data publikacji:
2016
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
korekcja błędu dynamicznego
pomiar temperatury
niestacjonarny model dynamiki systemu pomiarowego
liczba Nusselta
dynamic error correction method
temperature measurement
non-stationary model of measurement system
Nusselt number
Opis:
Pomiar zmiennej w czasie temperatury medium poruszającego się ze zmienną prędkością obarczony jest istotnym błędem dynamicznym. Jego źródłem są zależne od tej prędkości właściwości dynamiczne toru pomiarowego określone przez współczynnik dynamiki. Metoda "w ciemno" umożliwia zidentyfikowanie jego chwilowych wartości i skorygowanie błędu dynamicznego na drodze numerycznej. Zadanie to jest dobrze postawione przy wykorzystaniu jednomianowej reprezentacji liczby Nusselta, od której zależy chwilowa wartość tego współczynnika. W artykule zaprezentowano podstawy teoretyczne metody pomiarowej, wyniki badań symulacyjnych oraz eksperymentalnej jej weryfikacji.
Measurement result of time-varying temperature of the medium moving at a variable velocity is encumbered with a significant dynamic error. The main reason of that error are the dynamic properties of the measurement channel described by the dynamic coefficient. The “blind” correction method gives a possibility of identifying the instantaneous values of this factor and numerically correcting the dynamic error. This task is well defined when the monomial Nusselt number is used in a dynamic coefficient model. The article presents the theoretical basis of the measurement method, the simulation results and experimental verification.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2016, 49; 79-84
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Trade liberalization policy and competitiveness of cocoa beans exports in Nigeria (1961-2017)
Autorzy:
Obi-Egbedi, O.
Hussayn, J.A.
Oluwatayo, I.B.
Powiązania:
https://bibliotekanauki.pl/articles/2080922.pdf
Data publikacji:
2021
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
cocoa
competitiveness
market share
trade liberalization policy and vector error
correction model
Opis:
The cocoa sector in Nigeria has experienced decline in production, yield, exports coupled with its inability to attain global standards and targets and, gradual loss of competitiveness at the world market. Trade liberalization was government’s panacea to the sector’s problem although, cocoa competitiveness remains an issue since liberalization. Therefore, the relationship between trade liberalization policy and competitiveness of Nigeria’s cocoa exports was examined in this study using data for the period 1961-2017. Cocoa market share was used to measure competitiveness while analytical tools employed were: ADF test, Johansen co-integration test and the vector error correction model (VECM). Market share, quantity of cocoa export and inflation rate were stationary at original level while others, at first difference. The co-integration test showed seven co-integrating equations. Trade liberalization policy was found to be an important driver of competitiveness. In addition, area harvested, production quantity and export quantity positively influenced competitiveness while world price of cocoa, interest rate on agricultural loans, exchange rate and trade liberalization influenced negatively. Therefore, appropriate trade policy formulation and implementation is recommended while, specific attention should be paid to monetary policies and cocoa production by the government.
Źródło:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego; 2021, 21[36], 1; 4-15
2081-6960
Pojawia się w:
Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of trade balance in Polish and Czech manufacturing sectors
Autorzy:
Olczyk, Magdalena
Kordalska, Aleksandra
Powiązania:
https://bibliotekanauki.pl/articles/22446541.pdf
Data publikacji:
2018
Wydawca:
Instytut Badań Gospodarczych
Tematy:
CEE economies
trade balance
international competitiveness
manufacturing
error correction model
Opis:
Research background: A strong industrial base is essential for achieving long-term sustainable economic growth and export competitiveness. In that sense, manufacturing remains a significant contributor to exports in the CEE countries. How-ever, its role and its influence vary between CEE economies and change over time. Purpose of the article: The main objective of this paper is to compare the determinants of the international competitiveness, measured by the net exports of the manufacturing sectors in the Czech and Polish economies, by using the database of 13 manufacturing sub-sectors in 1995-2011. The authors research the question of how much foreign and domestic demand, the level of labour costs, the level of sector innovation intensity, the level of sector openness to foreign markets as well as sectoral labour productivity influence the changes in trade balance. Methods: Our approach is based on employing an error correction model and SUR model to disaggregated sectoral manufacturing data. Findings & Value added: The results of the analysis conducted show substantial differences in the roles particular variables play in explaining the net exports in individual sectors. For the majority of Polish and Czech manufacturing sub-sectors, generation of positive trade balance is determined by relative demand growth. An increasing labour productivity influences heavily a positive trade balance of Polish goods in majority of sub-sectors, however, a key factor in Czech sub-sectors is decreasing unit labour costs. The results of the analysis indicate mostly a greater impact of the researched factors on net exports in long rather than short term and the better capacity of the Czech economy to correct deviations from the equilibrium.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2018, 13, 3; 445-466
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 33

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