Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil

Pao, Hsiao-Tien; Tsai, Chung Ming

doi:10.1016/j.energy.2011.01.032

Cited by 495 publications

(225 citation statements)

References 35 publications

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“…In this respect, since there is no energy dependence on economic growth in Russia, so energy conservation-based energy policies can be implemented without hindering economic growth. Finally, test results approve the validity of feedback hypothesis for Brazilian economy, that is the causality relationship for Brazilian economy is bi-directional and also parallel to Pao and Tsai (2011) findings. The policies applied in energy or economy should be considered very carefully in such situation according to the fact that any change in economic growth or any change in energy consumption will affect the other.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 65%

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Energy Consumption is a Determinant of Economic Growth in BRICS Countries or Not?

Bayat

Taş

Taşar

2017

Asian Economic and Financial Review

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Article History JEL Classification Q43, F43, C23. Energy consumption as a determinant of economic growth is a matter that has been frequently discussed in recent years in the theory of economics. In this study, the relationship between energy consumption and economic growth in BRICS (Brazil, Russia, India, China and South Africa) countries from 1990 to 2013 analyzed by panel data analysis. According to the results of empirical analysis, conservation hypothesis in Russia and feedback hypothesis in Brazil and neutrality hypothesis in other countries are valid. Contribution/ Originality:This study contributes in the existing literature by the countries selected.BRICS countries are a good example in terms of economic growth in our decade. In addition, the energy consumption is another level compared to the rest of the world in those countries. One of the basic questions, the link between energy consumption and the economic growth is responded in the article.

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Section: Conclusion and Policy Implicationsmentioning

confidence: 65%

“…According to test results, Brazil performs different within BRICS group. Pao and Tsai (2011) explain that situation with the different emission and energy consumption profile of the country. More green energy in Brazil results a bi-directional significant causality from energy consumption to economic growth.…”

Section: Graph-2 Energy Consumptionmentioning

confidence: 99%

Energy Consumption is a Determinant of Economic Growth in BRICS Countries or Not?

Bayat

Taş

Taşar

2017

Asian Economic and Financial Review

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“…Ghosh (2010) confirmed the absence of any causal association between CO2 emissions and economic growth in India in the long run. Pao and Tsai (2011a) examined the dynamic relationship between pollutant emissions, energy consumption, and energy output for Brazil. They found that in the long run, emissions appear to be output-inelastic and energy-elastic.…”

Section: Co2 Emissions Energy Consumption and Economic Growthmentioning

confidence: 99%

The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait

Salahuddin

Alam

Öztürk

et al. 2018

Renewable and Sustainable Energy Reviews

647

217

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This study examined the empirical effects of economic growth, electricity consumption, foreign direct investment (FDI), and financial development on carbon dioxide (CO2) emissions in Kuwait using time series data for the period 1980-2013. To achieve this goal, we applied the autoregressive distributed lag (ARDL) bounds testing approach and found that cointegration exists among the series. Findings indicate that economic growth, electricity consumption, and FDI stimulate CO2 emissions in both the short and long run.The VECM Granger causality analysis revealed that FDI, economic growth, and electricity consumption strongly Granger-cause CO2 emissions. Based on these findings, the study recommends that Kuwait reduce emissions by expanding its existing Carbon Capture, Utilization, and Storage plants; capitalizing on its vast solar and wind energy; reducing high subsidies of the residential electricity scheme; and aggressively investing in energy research to build expertise for achieving electricity generation efficiency.

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“…ARMA methodology has been used in this study to model the stationary time series with an appropriate number of p and q lags [2,11]. ARMA focuses on the stochastic, or probabilistic properties of economic time series on their own instead of constructing single or simultaneous equation models.…”

Section: Autoregressive Integrated Moving Average (Arima) and Holt-wimentioning

confidence: 99%

An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan

et al. 2017

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Abstract:Energy planning and policy development require an in-depth assessment of energy resources and long-term demand forecast estimates. Pakistan, unfortunately, lacks reliable data on its energy resources as well do not have dependable long-term energy demand forecasts. As a result, the policy makers could not come up with an effective energy policy in the history of the country. Energy demand forecast has attained greatest ever attention in the perspective of growing population and diminishing fossil fuel resources. In this study, Pakistan's energy demand forecast for electricity, natural gas, oil, coal and LPG across all the sectors of the economy have been undertaken. Three different energy demand forecasting methodologies, i.e., Autoregressive Integrated Moving Average (ARIMA), Holt-Winter and Long-range Energy Alternate Planning (LEAP) model were used. The demand forecast estimates of each of these methods were compared using annual energy demand data. The results of this study suggest that ARIMA is more appropriate for energy demand forecasting for Pakistan compared to Holt-Winter model and LEAP model. It is estimated that industrial sector's demand shall be highest in the year 2035 followed by transport and domestic sectors. The results further suggest that energy fuel mix will change considerably, such that oil will be the most highly consumed energy form (38.16%) followed by natural gas (36.57%), electricity (16.22%), coal (7.52%) and LPG (1.52%) in 2035. In view of higher demand forecast of fossil fuels consumption, this study recommends that government should take the initiative for harnessing renewable energy resources for meeting future energy demand to not only avert huge import bill but also achieving energy security and sustainability in the long run.

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Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil

Cited by 495 publications

References 35 publications

Energy Consumption is a Determinant of Economic Growth in BRICS Countries or Not?

Energy Consumption is a Determinant of Economic Growth in BRICS Countries or Not?

The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait

An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan

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