Technology Innovation, Economic Growth and Carbon Emissions in the Context of Carbon Neutrality: Evidence from BRICS

This study selects the panel data of five BRICS nations (Brazil, Russia, India, China, South Africa) from 1990 to 2019 to empirically explore the impact of technological innovation and economic growth on carbon emissions under the context of carbon neutrality. Granger causality test results signify that there exists a one-way causality from technology patent to carbon emission and from economic growth to carbon emission. We also constructed an improved Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The regression results manifest that technology patents contribute to the realization of carbon emission reduction and carbon neutralization, while the economic growth of emerging economies represented by BRICS countries significantly improves carbon emissions, but every single BRICS country shows differentiated carbon emissions conditions with their economic development stages. The impact of the interaction term on carbon emissions for the five BRICS countries also presents country-specific heterogeneity. Moreover, the Environmental Kuznets Curve (EKC) test results show that only Russia and South Africa have an inverted U-shaped curve relationship between economic growth and carbon emissions, whereas Brazil, India and China have a U-shaped curve relationship. There exists no EKC relationship when considering BRICS nations as a whole. Further robustness tests also verify that the conclusions obtained in this paper are consistent and stable. Finally, the paper puts forward relevant policy suggestions based on the research findings.

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The drivers of economic growth in China and India: globalization or financial development?

International Journal of Development Issues ◽

10.1108/ijdi-06-2016-0036 ◽

2017 ◽

Vol 16 (1) ◽

pp. 54-84 ◽

Cited By ~ 13

Author(s):

Magda Kandil ◽

Muhammad Shahbaz ◽

Mantu Kumar Mahalik ◽

Duc Khuong Nguyen

Keyword(s):

Economic Growth ◽

Financial Development ◽

Emerging Market ◽

Annual Data ◽

Test Results ◽

Causality Test ◽

Content Type ◽

China And India ◽

Integration Test ◽

The Impact

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.

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Solar Energy and CO2 Emissions: CCEMG Estimations for 26 Countries

10.21203/rs.3.rs-688369/v1 ◽

2021 ◽

Author(s):

Taner Güney ◽

Duygu Ince

Keyword(s):

Economic Growth ◽

Renewable Energy ◽

Energy Consumption ◽

Solar Energy ◽

Carbon Emissions ◽

Environmental Sustainability ◽

Causality Test ◽

Cross Sectional ◽

Common Correlated Effects ◽

The Impact

Abstract Although research establishes that the impact of renewable energy on environmental sustainability is critical in the era of globalization, the individual impact of renewable energy on the environment is often ignored. Therefore, this article examines the long-term relationships and direction of these relationships between solar energy consumption, coal energy consumption, financial globalization, economic growth, and environmental pollution for the period from 2000 to 2019 for 26 countries. The study used a range of econometric techniques that account for the cross-sectional dependence and slope homogeneity observed in the panel. The results of the common correlated effects mean group (CCEMG) estimator showed that solar energy consumption has a negative and significant effect on the level of carbon emissions. In addition, economic growth and coal energy increase carbon emissions. Finally, the results of the panel causality test confirmed the existence of various causal relationships among the variables.

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The impact of low-carbon emission reduction policies on economic growth

E3S Web of Conferences ◽

10.1051/e3sconf/202127502037 ◽

2021 ◽

Vol 275 ◽

pp. 02037

Author(s):

Yuqi Sheng

Keyword(s):

Economic Growth ◽

Emission Reduction ◽

Carbon Emission ◽

Significant Negative Correlation ◽

Low Carbon ◽

Carbon Emission Reduction ◽

Low Carbon Economy ◽

Carbon Neutrality ◽

Consuming Country ◽

The Impact

As the development of a green and low-carbon economy has received great attention from governments around the world, carbon peaking and carbon neutrality have become important issues raised by China. As a major energy consuming country, government has actively formulated and implemented various carbon emission reduction policies in order to curb carbon emissions. Whether these policies achieve economic growth in the process of energy conservation and emission reduction, and promote China’s green and low-carbon development transition is the focus of this paper. This paper selects data from 30 provinces in China from 2010 to 2019, establishes a model, and empirically analysis the impact of carbon emission reduction policy tools on economic growth. The results show that there is a significant negative correlation between mandatory carbon emission reduction policies and economic growth, while market-based carbon emission reduction policies enhance the economic strength of the region. In addition, this paper empirically tests that after the establishment of the carbon market in 2013, market-based carbon emission reduction policies have significantly promoted economic growth, and the impact of carbon emission reduction policies on economic growth have regional heterogeneity.

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Stock Market Development and Economic Growth in Bangladesh: An Empirical Appraisal

International Journal of Economics and Financial Research ◽

10.32861/ijefr.511.252.258 ◽

2019 ◽

pp. 252-258

Author(s):

Md. Shakhaowat Hossin ◽

Md. Shafiul Islam

Keyword(s):

Economic Growth ◽

Stock Market ◽

Policy Formulation ◽

Market Development ◽

Test Results ◽

Causality Test ◽

Stock Market Development ◽

Long Run ◽

Integration Test ◽

The Impact

This article seeks to examine the impact of the Bangladesh’s stock market development on its economic growth from the period of 1989-2012. We have used Johansen Cointegration test to estimate the long-run equilibrium relationship between the variables and the Granger causality test was conducted in order to establish causal relationship, while the model was estimated using the error correction model (ECM). Johansen co-integration test results show that the Bangladesh’s stock market development and economic growth are co-integrated. This indicates that a long run relationship exists between stock market development and economic growth in Bangladesh. The causality test results suggest a unidirectional causality from stock market development to the economic growth. On the other hand, there is no “reverse causation” from economic growth to stock market development. The evidence from this study reveals that the activities in the stock market tend to impact positively on the economy. It is recommended therefore that stock market regulatory authority should therefore address policy issues that are capable of boosting the investors’ confidence through improved policy formulation and creation of awareness.

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Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

Sustainability ◽

10.3390/su13031339 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1339

Author(s):

Ziyuan Chai ◽

Zibibula Simayi ◽

Zhihan Yang ◽

Shengtian Yang

Keyword(s):

Energy Consumption ◽

Carbon Emissions ◽

Carbon Emission ◽

Driving Factors ◽

Series Data ◽

Lake Basin ◽

Stirpat Model ◽

Consumption Structure ◽

Ebinur Lake ◽

Ebinur Lake Basin

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

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Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽

10.3390/en14113165 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3165

Author(s):

Eva Litavcová ◽

Jana Chovancová

Keyword(s):

Economic Growth ◽

Energy Consumption ◽

Co2 Emissions ◽

Carbon Emissions ◽

Bounds Testing ◽

Mutual Cooperation ◽

Long Run ◽

Short Run ◽

Danube Region ◽

The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

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Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

Sustainability ◽

10.3390/su10072458 ◽

2018 ◽

Vol 10 (7) ◽

pp. 2458 ◽

Cited By ~ 1

Author(s):

Weidong Li ◽

Xin Qi ◽

Xiaojun Zhao

Keyword(s):

Panel Data ◽

Carbon Emission ◽

Population Aging ◽

Panel Data Analysis ◽

Negative Relationship ◽

Modern Society ◽

Eastern Region ◽

Low Carbon ◽

Stirpat Model ◽

The Impact

The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

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Carbon emission risks and management accounting: Australian evidence

Accounting Research Journal ◽

10.1108/arj-03-2015-0040 ◽

2016 ◽

Vol 29 (2) ◽

pp. 137-153 ◽

Cited By ~ 9

Author(s):

Jayanthi Kumarasiri ◽

Christine Jubb

Keyword(s):

Carbon Emissions ◽

Carbon Emission ◽

Management Accounting ◽

Interview Data ◽

Structured Interviews ◽

Emission Mitigation ◽

Senior Managers ◽

Economic Interests ◽

Content Type ◽

The Impact

Purpose The purpose of this paper is to apply regulatory mix theory as a framework for investigating the use of management accounting techniques by Australian large listed companies in constraining their carbon emissions. Design/methodology/approach Semi-structured interviews are conducted with senior managers involved with managing their companies’ carbon emission risks. Analysis of the interview data is undertaken with a view to provision of insight to the impact of the regulatory framework imposed to deal with carbon emissions. Findings The findings reveal that regulation impacting companies’ economic interests rather than requiring mere disclosure compliance is much more likely to be behind focusing top management and board attention and use of management accounting techniques to set targets, measure performance and incentivise emission mitigation. However, there remains much scope for increased use of accounting professionals and accounting techniques in working towards a carbon-constrained economy. Research limitations/implications The usual limitations associated with interpretation of interview data are applicable. Practical implications Under-use of management accounting techniques is likely to be associated with less than optimal constraint of carbon emissions. Social implications Carbon emissions are accepted as being involved in harmful climate change. To the extent effective techniques are under-utilised in constraining emissions, harmful consequences for society are likely to be heightened unnecessarily. Originality/value The topic and data collected are original and provide valuable insights into the dynamics of management accounting technique use in managing carbon emissions.

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Impact of unemployment and income on entrepreneurship in post-apartheid South Africa: 1994–2015

The Southern African Journal of Entrepreneurship and Small Business Management ◽

10.4102/sajesbm.v10i1.115 ◽

2018 ◽

Vol 10 (1) ◽

Cited By ~ 1

Author(s):

Darma Mahadea ◽

Irrshad Kaseeram

Keyword(s):

Economic Growth ◽

South Africa ◽

Employment Growth ◽

Positive Impact ◽

Early Stage ◽

National Development ◽

Entrepreneurial Activity ◽

Per Capita Gdp ◽

Per Capita ◽

The Impact

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.

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Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.869-870.746 ◽

2013 ◽

Vol 869-870 ◽

pp. 746-749

Author(s):

Tian Tian Jin ◽

Jin Suo Zhang

Keyword(s):

Economic Growth ◽

Energy Consumption ◽

Carbon Emissions ◽

Carbon Emission ◽

Energy Structure ◽

Ardl Model ◽

Relationship Of ◽

The Relationship ◽

Reducing Energy

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

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