scholarly journals Oil Consumption in Transport and Economic Growth Nexus: Empirical Evidence from Cameroon

2018 ◽  
Vol 14 (10) ◽  
pp. 409
Author(s):  
Youssouf Nvuh Njoya ◽  
Mouhamed Mbouandi Njikam

This paper focuses on casting light on the causal relationship between oil consumption in transport and economic growth in Cameroon. This paper uses an annual data covering the period 1975-2014, which is a five-step modern time series techniques. They include the Unit root tests, co-integration analysis, and Granger-causality based on error correction model. As a robustness test, we made use of the impulse response function and variance decomposition to portray the correlations between variables. The main result highlighted in the present paper point out the presence of a long-run equilibrium relationship between oil consumption in transport and economic growth. The error correction model shows that an estimated 1% increase in economic growth causes a rise in oil consumption in transport by 1.29 % in the long run. Another results show that there exists bidirectional causality in the long-run relationship and there was no causality in the short-run relationship at the 5% level of significance. The decomposition of the variance and impulse response function indicates a dissymmetric of the variance of the prediction error and the dynamic properties of the system. This study provides a basis for the discussion of energy consumption in transport policies in order to maintain a sustainable economic growth in Cameroon.

2017 ◽  
Vol 18 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Alton Best ◽  
Brian M. Francis ◽  
C. Justin Robinson

The paper empirically examines the question of whether bank liquid reserves to bank assets ratio and domestic credit to private sector as a percentage of GDP strengthens financial deepening on the real sector and hence catalyzes economic growth in Jamaica. A Granger causality approach is employed within a multivariate framework. Cointegration is used to examine the short- and long-run relationships within the model. Innovative accounting techniques (impulse response function and variance decomposition) are also utilized to determine the out-of-sample relation between financial deepening and economic growth. The empirical analysis is conducted with annual data from 1980 to 2014 with three proxies for financial deepening. The empirical evidence suggests a ‘supplying-leading’ relationship in both the short and long run. These results are confirmed by the innovation accounting techniques (impulse response function and the variance decomposition). Our findings imply that Jamaica should first concentrate on developing its financial sectors which has the potential to spur higher levels of economic growth in the real sectors of the economy.


2017 ◽  
Vol 15 (1) ◽  
pp. 39
Author(s):  
Rahmat Heru Setianto

Penelitian ini melihat hubungan janka panjang antara harga properti residensial dengan kredit perbankan di Indonesia. Selain menggunakan harga agregat, penelitian ini juga menganalisis hubungan kredit perbankan dengan setiap tipe properti residensial, yaitu: tipe kecil, sedang, dan besar. Hasil uji kointegrasi menggunakan model autoregressive distributions lag (ARDL) menunjukkan adanya hubungan jangka panjang antara kredit dengan harga properti. Sedangkan berdasarkan koefisien jangka panjang menunjukkan bahwa hanya properti tipe kecil yang sensitif terhadap perubahan harga. Hasil analisis lebih lanjut menggunakan vector error correction model (VECM) dan impulse response function (IRF) juga mengindikasikan hubungan jangka pendek yang dinamis antara harga properti dengan kredit dan variabel ekonomi makro. Hasil penelitian ini memberikan implikasi penting bagi stabilitas ekonomi, kebijakan moneter maupun keputusan investasi.


2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 482
Author(s):  
Defrizal Saputra ◽  
Hasdi Aimon ◽  
Melti Roza Adry

This study aims to determine and analyze the factors that influence foreign debt in Indonesia with variables that effect economic growth, inflation, and foreign interest rates. This type of research is associative descriptive research, where the data used is secondary data from 1970 to 2017 obtained from institutions and related institutions, which are analyzed using the Error Correction Model (ECM) method. This study initially used the Ordinary Lest Square (OLS) method to see long-term, and used ECM because it wanted to see short-term at the same time. The findings of this study indicate that economic growth and inflation have a significant effect in the long run, but the interest rates have no significant effect, and in the short term all have a significant effect on foreign debt in Indonesia. Keywords: foreign debt, economic growth, inflation, interest rates and error correction model (ECM)


Author(s):  
Erni Panca Kurniasih

ABSTRACTThe development of investment and exports in Indonesia shows an increase, as well as money supply, while the inflation rate shows a decline, but this is not always followed by increasing economic growth. This study aims to explain the relationship between investment, export, money supply and inflation with the economic growth in Indonesia. The data used was time series data from the first quarter in 2001 to the fourth quarter in 2014 and was analyzed using multiple regression models with Error Correction Model (ECM) and classical assumptions. The study findings show that in short-term investment, export, money supply and inflation are not significant to economic growth. In long-run, investment has negative and significant effect on the economic growth, while export, money supply and inflation have positive and significant effect on the economic growth in Indonesia. Bank Indonesia must applied a tight money policy consistently to achieve the long-term inflation target ABSTRAKPerkembangan investasi dan ekspor di Indonesia menunjukkan peningkatan, demikian pula jumlah uang beredar, sementara tingkat inflasi menunjukkan penurunan, namun hal tersebut tidak selalu diikuti dengan meningkatnya pertumbuhan ekonomi. Studi ini bertujuan untuk menjelaskan hubungan antara investasi, ekspor neto, jumlah uang beredar dan inflasi terhadap pertumbuhan ekonomi di Indonesia. Data yang digunakan adalah data time series dari kuartal pertama tahun 2001 hingga kuartal keempat tahun 2014 dan dianalisa dengan menggunakan model regresi berganda dengan Error Correction Model (ECM). Hasil studi menunjukkan  bahwa investasi, ekspor, jumlah uang beredar dan inflasi tidak signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka pendek. Investasi berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka panjang, sedangkan ekspor , jumlah uang beredar dan inflasi berpengaruh positif dan  signifikan terhadap pertumbuhan ekonomi di Indonesia. Bank Indonesia harus menerapkan kebijakan moneter yang ketat secara konsisten pada pencapaian sasaran inflasi jangka menenngah 


2018 ◽  
Vol 6 (1) ◽  
pp. 55
Author(s):  
Hammed Agboola Yusuf ◽  
Irwan Shah Zainal Abidin ◽  
Normiza Bakar ◽  
Oluwaseyi Hammed Musibau

Value Added Tax(VAT) is a consumption tax imposed at every stage of consumption level whose burden is burned by final consumer of goods and services. In most developing economies in the world, VAT as a source of revenue to the government that has been notable for its significant role in ensuring economic efficiency. However, VAT revenue has been underutilised in Nigeria due to a high level of corruption in the process of administering the tax. This study examines the impact of VAT, domestic investment and trade openness on economic growth in Nigeria from 1980 to 2016 using ARDL techniques. The research design is time series, and the data were analysed using time series unit root test, error correction model regression, short run and long run ARDL. The result found that VAT, domestic investment and trade openness had a positive and significant impact on real GDP. Also, corruption index is negative also significant in the long run. In the same vein, past value added tax had a negative and weak significant impact on real gross domestic product indicating convergence to long-run causality between economic growths and VAT and economic growth. The Error Correction Model (ECM (-1)) coefficient had a negative and statistically significant sign. This shows that 39 percent can quickly correct short-run deviation. The study, therefore,  recommends that tax administrative loopholes should be plugged for tax revenue to contribute immensely to the development of the economy since past VAT had a significant impact on economic growth.


2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Kdwi wahyu Ksamawan ◽  
Ghozali Maskie ◽  
David Kaluge

The influence of foreign tourist arrivals based on the region of origin on economic growth was analyzed in this study, using GDP data as a proxy for economic growth, the number of tourist visits, the Consumer Price Index, and the monthly period of exchange for 2007-2016. This study uses secondary data with the Error Correction Model (ECM) regression method with short and long-term calculations. The results showed that the variable number of tourist visits had an effect on GDP in the continents of Asia, Europe, Middle-East, and Oceania while in the long run in all continents except America. The exchange rate variable in the short term has a negative effect on GDP in the American Continent and the Middle East, while in the long run, the exchange rate variable has a positive effect on GDP in the Asean continent and Europe. The CPI variable only has a positive effect on GDP in the long run for all continents except America. So that it can be concluded that not all continents have a positive impact on GDP, one of which is the American continent, so in order to optimize and increase economic growth, it should be stressed that the cost of developing the tourism sector in America should be allocated more proportionally or diverted to continents of Asia, ASEAN, Oceania, Europe and the Middle East.of developing the tourism sector in America should be allocated more proportionally or diverted to continents of Asia, ASEAN, Oceania, Europe and the Middle East. Keywords: Error Correction Model,GDP, Tourism


2020 ◽  
Vol 5 (3) ◽  
pp. 401
Author(s):  
Feri Irawan

<p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>This study aims to analyze the effect of capital aspects (CAR), financing risk (NPF) and macroeconomic variables including economic growth, inflation and the BI Rate on profitability (ROE) in the short and long term. By using time series data for the monthly period from 2013-2018 and the Error-Correction Model (ECM) and cointegration approach, it is found that CAR and NPF do not have a significant effect on ROE in the short and long term. Economic growth, inflation and the BI Rate in the short term do not have a significant effect on ROE, in the long run economic growth, inflation and the BI Rate have a significant effect on ROE. In the short term, economic growth, inflation and the BI Rate disturb the balance of profitability, but in the long run it returns to its equilibrium level. It is necessary to integrate the BPRS policy strategy in managing capital and risk with government policies related to economic growth and inflation.</em></p><p><em> </em></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>Penelitian bertujuan menganalisis pengaruh aspek permodalan (CAR), risiko pembiayaan (NPF) dan variabel makroekonomi yang meliputi pertumbuhan ekonomi, inflasi dam BI Rate  terhadap profitabilitas (ROE) dalam jangka pendek dan jangka panjang. Dengan menggunakan data time series periode bulanan dari tahun 2013-2018 dan pendekatan Error-Correction Model  (ECM) dan kointegrasi, ditemukan bahwa CAR dan NPF tidak berpengaruh secara signifikan terhadap ROE dalam jangka pendek dan jangka panjang. Pertumbuhan ekonomi, inflasi dan BI Rate dalam jangka pendek tidak berpengaruh signifikan terhadap ROE, dalam jangka panjang pertumbuhan ekonomi, inflasi dan BI Rate berpengaruh signfikan terhadap ROE. Pada jangka pendek, pertumbuhan ekonomi, inflasi dan BI Rate menggangu keseimbangan profitabilitas namun dalam jangka panjang kembali pada tingkat keseimbangannya. Diperlukan pengintegrasi strategi kebijakan BPRS dalam mengelola permodalan dan risiko dengan kebijakan pemerintah terkait dengan pertumbuhan ekonomi dan inflasi.</em><em></em></p><p align="right"> </p>


Author(s):  
Muzafar Shah Habibullah

This study estimates the effects of temperature and rainfall on the prevalence of criminal activity in Malaysia. The analysis is based on annual data for the period 1973-2009, on temperature, rainfall and crime rates – total crime, violent and property crime. By using the generalized one-step error-correction model, we examine the short-run and long-run dynamics between crime rates with varying temperatures and rainfall in Malaysia. Our results suggest that there is long-run relationship between total crime and property crimes with weather in Malaysia. The long-run coefficients indicate a positive impact of temperature (hot weather) on criminal activity. Our results imply that the law enforcement would have a better understanding of how the weather affects crime and a chance for the authorities to better prepare their departments during weather conditions that influence certain criminal activities.Keywords: Crime; Temperature; Rainfall; Generalized error-correction model; Malaysia.


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