The Relationship between Renewable Energy Consumption, CO2 Emissions, Economic Growth, and Industrial Production Index: The Case of Kazakhstan

Issayeva, Gulmira; Dyussembekova, Zhanar; Aidarova, Aina B.; Makhatova, Adelina B.; Lukhmanova, Gulnar; Absemetova, Dariya; Bolganbayev, Artur

doi:10.32479/ijeep.14941

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…The vector autoregression (VAR) model does not require explicit assumptions about the functional form. All variables are treated as endogenous, allowing for the analysis of the impact of each variable and its lagged effects on other variables [29]. The panel vector autoregression (PVAR) model is an extension of the traditional vector autoregression (VAR) model, incorporating the advantages of both panel data analysis and VAR modeling [30].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The PVAR model is an extension of the traditional vector autoregression (VAR) model, incorporating the advantages of both panel data analysis and VAR modeling [34]. The VAR model does not require the prior specification of causal relationships among variables [29]. Instead, all variables are treated as endogenous, allowing for the analysis of the impact of each variable and its lagged values on other variables within the model.…”

Section: Pvar Modelmentioning

confidence: 99%

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Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Yan,

Phucharoen

2024

Sustainability

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This study explores the intricate dynamics of CO2 emissions stemming from transport within the tourism sector. It aims to unravel the multidimensional aspects of how transport-related tourism contributes to CO2 emissions and to elucidate the complex relationship between regional economic growth and CO2 emissions from transport-related tourism. Our study employed Logarithmic Mean Divisia Index (LMDI) and Panel Vector Autoregression (PVAR) models to analyze data from 30 Chinese provincial regions between 2010 and 2018. The tourism transport-related CO2 emissions were decomposed into four separate driving effects using the LMDI approach. Then, PVAR models were constructed to reveal dynamic interactions between each driving effect and per capita gross regional product (GRP). Our results demonstrate a decrease in both energy structure effect (tourism transport-related CO2 emissions from energy structure) and energy intensity effect (tourism transport-related CO2 emissions from energy intensity) during the pre-COVID decade. Notably, the positive impulse response of energy structure effect to per capita GRP is observed. However, we found no evidence of a cointegrated relationship between energy intensity effect and regional economic growth, although other factors demonstrated connections. These findings echo the necessity to integrate sustainable practices into the tourism transportation business, especially in the area of energy structure, in order to mitigate adverse environmental effects from tourism. This paper disseminates the main drivers of CO2 emissions in the tourism transport sector and their interrelationship with regional economic growth. It not only guides tourism policymakers in targeting efforts to reduce carbon footprints, but also sets a new benchmark for future studies on CO2 emissions.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Pvar Modelmentioning

confidence: 99%

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Yan,

Phucharoen

2024

Sustainability

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“…The main factors that enabled Kazakhstan to overcome these global crises are the structural reforms in the economic field and the rich natural resources that Kazakhstan has (oil, coal, natural gas, etc.) (Mudarissov and Lee, 2014;Xiong et al, 2015;Myrzabekkyzy et al, 2022;Bolganbayev et al, 2021;Mashirova et al, 2023;Issayeva et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Energy Consumption, Agricultural and Industrial Production, and Economic Growth: ARDL Border Value Approach in the Case of Kazakhstan

Abdibekov,

Gridneva,

Kaliakparova

et al. 2024

IJEEP

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This study analyzes the impact of energy consumption and industrial and agricultural production on economic growth between 2000 and 2022 in Kazakhstan using the ARDL method. The research findings determined that all three variables affect the economic growth of Kazakhstan. Another important finding is that, within the framework of the variables included in the analysis, the model shows that after a shock, the economic structure will recover and regain its footing in a short period, such as 1.5 years. Therefore this study provides important information to Kazakh decision-makers and gives confidence in the solidity of the country's economic structure. The study employs a model that includes industrial production and agricultural production, along with energy consumption on economic growth, as only one variable (index variable). As well known, production and trade as fields of economic activity can also be taken separately. Therefore they can be included in the model separately and their individual effects on GDP can be analyzed. By carrying out studies in this manner, we can identify the determinants of the Kazakh economy and use sample applications to analyze the dynamics of economic growth in general.

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Economy-wide and environmental benefits of green energy development in oil-rich countries: Evidence from Azerbaijan

Gasimli,

Huseyn,

Huseynov

2024

EKON ANAL

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Azerbaijan, which is an oil/ gas-rich country, has been taking full advantage of its energy potential and taking steps towards creating green energy and turning it into an export. The Green Energy Corridor, in which Azerbaijan plays the main role, aims to connect Azerbaijan with Europe in its first stage. In the second stage, this corridor will connect Central Asia with Europe, which will involve the laying of an electric cable under the Black Sea and the Caspian Sea. This will allow Azerbaijan and other Central Asian countries to export zero-carbon electricity to the European market. If Azerbaijan is successful in this field, it will not only serve the sustainability of the country?s economy in the post-oil era, but will also contribute to the reduction in carbon emissions, leading to global benefits. The aim of this article is to assess the socioeconomic, ecological, and political benefits of green energy deployment in Azerbaijan. An economic cost-effectiveness analysis was conducted for selected green energy projects (large-scale wind and solar power plants). We also argue that green transition projects, which seem expensive and difficult to realise today, will be justified in the near future.

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The Relationship between Renewable Energy Consumption, CO2 Emissions, Economic Growth, and Industrial Production Index: The Case of Kazakhstan

Cited by 3 publications

References 22 publications

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects

The Relationship between Energy Consumption, Agricultural and Industrial Production, and Economic Growth: ARDL Border Value Approach in the Case of Kazakhstan

Economy-wide and environmental benefits of green energy development in oil-rich countries: Evidence from Azerbaijan

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