scholarly journals Economic Growth Prediction Algorithm of Coastal Area Based on Impulse Response Function

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qiu Rong-Shan ◽  
Ding Ding ◽  
Han Li-Min

In order to solve the problems of low accuracy and long prediction time of traditional economic growth prediction algorithms in coastal areas, an algorithm based on impulse response function was designed to analyze economic growth prediction in coastal areas. Crawler technology is used to capture the economic data of coastal areas and normalize the captured data. Based on the processed data, the impulse response function is used to analyze the relationship between different economic variables, so as to build the PSO-LSTM model, which is used to predict the economic growth trend of coastal areas. The experimental results show that, compared with the experimental comparison algorithm, the prediction accuracy of the algorithm designed in this paper is always above 97%, and the prediction time is always below 1 s, which has certain practical significance.

2021 ◽  
Vol 8 (1) ◽  
pp. 13-24
Author(s):  
Martinianus Tshimologo Tibinyane ◽  
Teresia Kaulihowa

This paper analyses the effect of the prime interest rate as a monetary policy instrument to stimulate economic growth in Namibia, a small open economy that is constrained by currency board operations. A Vector Autoregressive Model (VAR) was used for the period 1980–2019. The result shows that Namibia’s prime interest rate has no significant effect on economic growth. This finding remains robust and consistent when impulse response function and variance decomposition are employed. The impulse response function indicates a shock on the prime interest rate exhibits an inverse relationship. However, this effect is insignificant in both short and long-run scenarios. The variance decomposition indicates that the prime interest rate has a strongly exogenous impact, implying it has a weak influence on GDP growth. Policy implication indicates that small open economies under currency board operations need to identify different policy responses to circumvent external shocks and addresses their development needs.


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.


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.


Author(s):  
Nahanga Verter ◽  
Věra Bečvářová

Agriculture is the backbone of Nigeria’s socioeconomic development. This paper investigates the impact of agricultural exports on economic growth in Nigeria using OLS regression, Granger causality, Impulse Response Function and Variance Decomposition approaches. Both the OLS regression and Granger causality results support the hypothesis that agricultural exports- led economic growth in Nigeria. The results, however, show an inverse relationship between the agricultural degree of openness and economic growth in the country. Impulse Response Function results fluctuate and reveal an upward and downward shocks from agricultural export to economic growth in the country. The Variance Decomposition results also show that a shock to agricultural exports can contribute to the fluctuation in the variance of economic growth in the long run. For Nigeria to experience a favourable trade balance in agricultural trade, domestic processing industries should be encouraged while imports of agricultural commodities that the country could process cheaply should be discouraged. Undoubtedly, this measure could drastically reduce the country’s overreliance on food imports and increase the rate of agricultural production for self-sufficiency, exports and its contribution to the economic growth in the country.


2011 ◽  
Vol 361-363 ◽  
pp. 1066-1070
Author(s):  
Ling Wang ◽  
Yang Yang ◽  
Li Juan Wang ◽  
Jiang Guo

This paper uses Impulse Response Function to empirically analyze the relationship between investment of environmental protection and economic growing of Shanghai. The result shows that Shanghai economic growth relatively contributes more to the environmental investment, while the improvement of environmental investment affects little on the economic growth. Shanghai should further promote multiplier effects of the environmental investment on economic growth in order to achieve the coordinated development between investment of environmental protection and economic growth.


2019 ◽  
Vol 14 (2) ◽  
pp. 231-244
Author(s):  
Vodă Alina Daniela ◽  
Duguleană Liliana ◽  
Dobrotă Gabriela

Abstract Economic growth can be seen as an effect of both fiscal policies and different legislative norms applied at national and macroeconomic level. Investments are a determining factor in the evolution of socio-economic life, influencing also the employment rate. This paper aims to identify the influence of investments on economic growth and employment using the vector autoregressive model (VAR). Based on the quarterly data from Romania, between the first quarter of 2000 and the second quarter of 2018, the Granger causality test and the impulse - response function was applied to identify the effect of the investments on the sustainable development of the Romanian economy. The results revealed that investments in Romania influence the economic growth and, implicitly, the employment. In terms of impulse – response function, a negative relationship between investment and employment was identified, which may be due to the fact that the need for human resources is no longer a priority in some sectors of activity due to technology.


2018 ◽  
Vol 25 (7) ◽  
pp. 2512-2530 ◽  
Author(s):  
Kirithiga S. ◽  
Naresh G. ◽  
Thiyagarajan S.

PurposeThe commodity and equity derivatives have a close resemblance between them in trade practices and mechanisms, which makes it easy for the investors to combine these two assets classes for building up their portfolio. The diversification of investment among asset classes builds some relation between them. The integration of market within a country is necessary to bring in a smooth and balanced economic growth. Thus, the purpose of this paper is to examine the spillover between the equity and commodity futures markets which will be helpful not only for the investors but also for the policy makers, producers and the regulators.Design/methodology/approachTo examine the spillover between the equity and commodity market, the major benchmarking indices of these markets, namely COMDEX of MCX, Dhaanya of NCDEX and NIFTY 50 of NSE, were chosen. NIFTY 50 index was chosen as representative of equity market due to its composition of most active constituent stocks than any other broad market index of Indian stock market. As the commodity market indices are not been traded, their constituent commodities were taken for the study. Thus, 11 MCX-COMDEX constituents such as Gold, Silver, Copper, Zinc, Aluminum, Nickel, Lead, Crude oil, Natural gas, Kapaskhali and Mentha oil and eight NCDEX-Dhaanya constituents such as Castor seed, Chana, Cotton seed oilcake, Jeera, Mustard seed, Refined soy oil, Turmeric and Wheat futures prices were taken against the NIFTY 50 futures prices with daily trading data for ten years starting from January 1, 2006 till December 31, 2015 to analyze their spillover effect. The return series data were used to test the spillover between equity and commodity futures market as it gives the crux of investors’ diversification through the Vector Autoregression (VAR) model and verified with Impulse Response Function by testing the null hypothesis,H0, that there is no return spillover between the equity and commodity futures market.FindingsThe investors move from equity to commodity when there is a threat in equity market and vice versa, thereby diversify their risk for those commodities which are vulnerable to global and domestic pressures in the economy. Investigating the spillover between equity and commodity market gives an insight of market integration effect. A nation can achieve its economic growth easily when its markets are integrated.Research limitations/implicationsThe commodity indices are still notional indices in the market; therefore, individual constituent commodities of commodities indices were considered with the benchmarking equity futures index, which is one of the limitations of the study.Practical implicationsThe integration of market within a country is necessary to bring in a smooth and balanced economic growth.Originality/valueMost of the past studies dealt only with few commodities and equities and not with the broad-based benchmarking indices. This paves way for enquiry into the commodity and equity markets integration with the major constituent commodities traded in the economy. Hence, this paper looks into the presence of spillover between the equity and commodity markets. The VAR model is verified with the impulse response function which explains the reaction of any dynamic system in response to a pulse change in another. The impulse response function is presented graphically for easy and better understanding.


2005 ◽  
Vol 7 (2) ◽  
Author(s):  
Umi Julaihah ◽  
Insukindro Insukindro

The objectives of this study are to analyze the effect of monetary policy on Indonesian economy and which monetary instruments can explain the variability of macroeconomic variables better.We apply Vector Error Correction Model on quarterly Indonesian economic data during period of 1983.1 - 2003.2. We observe monetary policy variables namely base money, SBI interest rate, one month commercial bank deposit interest rate, and macroeconomic variables namely consumer price index, gross domestic product, and exchange rate (rupiah/dollar). The model approach provide us two quantitative measurements, (i) impulse response function that can trace the response of one endogenous variable caused by shock/ innovation of other variables in the model; (ii) variance decomposition to show the relative contribution of certain endogenous variable variability.The result of impulse response function shows that economic growth did not response the shock of base money while on the other hand the base money has significant effect on inflation. This leaves a price puzzle and liquidity puzzle. The use of SBI as policy variable gives better result than base money as price puzzle and liquidity puzzle vanish. The result of variance decomposition shows that base money contributes only 5% on inflation but it did not give any contribution on economic growth fluctuation. While SBI has better capability in explaining the economic growth fluctuation until 14%. The interesting result is policy variables (base money and SBI) have best contribution in explain the fluctuation on exchange rate. These findings assert that policy shock is well responded by exchange rate rather than other economic variables.Keywords: monetary policy, impulse response function, variance decomposition.JEL : C32, E52, F31, F43


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