A Step Towards Environmental Mitigation: How Do Economic Complexity And Natural Resources Matter? Focusing On Different Institutional Quality Level Countries

2021 ◽  
Author(s):  
Parisa Esmaeili ◽  
Meysam Rafei ◽  
Daniel Balsalobre- Lorente
Keyword(s):  
Natural Resources ◽  
Environmental Quality ◽  
Ecological Footprint ◽  
Positive Impact ◽  
Institutional Quality ◽  
Clean Energy ◽  
Quality Level ◽  
Renewable Energy Consumption ◽  
Vector Autoregressive ◽  
Economic Complexity

Abstract Changes in the economic structure and human lifestyle lead to environmental pollution, one of today's prime challenges. With this in mind, the main objectives of this study are to evaluate the impacts of economic complexity, natural resources, renewable energy consumption, and foreign direct investment on the ecological footprint in weak, medium, and high levels of institutional quality countries. This study is probably one of the first studies to examine the effect of the economic complexity on ecological footprint and classify countries based on their institutional quality levels. Furthermore, the interaction of economic complexity and natural resources is considered a new variable. For this purpose, the panel vector autoregressive model is used. The results revealed that economic complexity in all countries has a positive impact on ecological footprint, and also it has the greatest impact on ecological footprint among the considered variables. Conversely, the interaction of economic complexity and natural resources contributes to environmental quality. Notably, the impacts of study variables on ecological footprint are more robust in a medium level of institutional quality countries. According to the study's outcomes, the main recommendation is the R&D activities improvement to develop environmentally friendly technologies and clean energy infrastructure to improve environmental quality.

scholarly journals Exploring the Effects of Economic Complexity and the Transition to a Clean Energy Pattern on Ecological Footprint From the Indian Perspective

2022 ◽  
Vol 9 ◽  
Author(s):  
Xiaowen Wan ◽  
Atif Jahanger ◽  
Muhammad Usman ◽  
Magdalena Radulescu ◽  
Daniel Balsalobre-Lorente ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Degradation ◽  
Ecological Footprint ◽  
Dominant Role ◽  
Clean Energy ◽  
Pollution Level ◽  
Renewable Energy Consumption ◽  
Economic Complexity ◽  
Long Run

The study explores the association between economic complexity, globalization, renewable and non-renewable energy consumption on the ecological footprint in the case of India from 1990–2018. The autoregressive distributed lag (ARDL) is applied to measure the long-run elasticity, while the vector error correction model (VECM) is applied to classify the causal path. The empirical findings demonstrate that economic complexity, globalization process, and renewable energy consumption play a dominant role in minimizing environmental degradation. In contrast, economic growth and non-renewable energy consumption are more responsible for increasing the pollution level in both the short and long run. Furthermore, the VECM outcomes disclose that there is long-run causality between ecological footprint and economic complexity. Moreover, the empirical outcomes are robust to various robustness checks performed for analysis to the consistency of our main results. The Indian government/policymakers should encourage a more environmentally friendly production process and eco-friendly technologies in exports to minimize environmental degradation.

scholarly journals Determinants of Material Footprint in BRICS Countries: An Empirical Analysis

2021 ◽  
Author(s):  
Malayaranjan Sahoo ◽  
Seema Saini ◽  
Muhammed Ashiq Villanthenkodath
Keyword(s):  
Human Capital ◽  
Renewable Energy ◽  
Natural Resources ◽  
Environmental Quality ◽  
Panel Cointegration ◽  
Renewable Energy Consumption ◽  
Cross Sectional ◽  
Brics Countries ◽  
Long Run ◽  
The Cross

Abstract This paper explores the relationship between renewable energy consumption, urbanization, human capital, trade, natural resources, and material footprint for BRICS countries from 1990 to 2016. We apply the cross-sectional dependency test to check the correlation among the cross-section. Then, we use the second-generation panel test like CADF and CIPS to check the stationary in the series. After that, we go for the panel cointegration test, i.e., Pedroni and Westerlund panel cointegration, to know the long-run relationship of the variable. The test results reject the null hypothesis of no cointegration among the variables and accept cointegration. The long-run results indicate that economic growth, natural resources, renewable energy, and urbanization have reduced the environmental quality for BRICS countries in case of material footprint employed to measure environmental degradation. However, foreign trade, human capital improves environmental quality. Based on the empirical results, the study recommended some important policy suggestions to achieve sustainable development in BRICS countries.

scholarly journals The shadow economy in South Asia: dynamic effects on clean energy consumption and environmental pollution

2021 ◽  
Author(s):  
Muhammad Tayyab Sohail ◽  
Sana Ullah ◽  
Muhammad Tariq Majeed ◽  
Ahmed Usman ◽  
Zubaria Andlib
Keyword(s):  
Energy Consumption ◽  
Sri Lanka ◽  
Co2 Emissions ◽  
South Asian ◽  
Environmental Quality ◽  
Shadow Economy ◽  
Institutional Quality ◽  
Clean Energy ◽  
Policy Implications ◽  
Asian Countries

AbstractThis study explores the symmetric and asymmetric effects of the shadow economy on clean energy and air pollution of South Asian countries over the period 1991–2019. The short-run ARDL findings for the clean energy model suggest that shadow economy increases clean energy consumption in Pakistan and Sri Lanka, whereas this effect is negative for India and insignificant for other countries. The long-run results indicate the adverse impact only for India and the effects of tax revenue on clean energy are positively significant in Sri Lanka while negatively signiicant in Nepal and Bangladesh. Institutional quality significantly increases clean energy in Pakistan, India, and Nepal. However, in the case of Pakistan and Nepal, institutional quality deteriorated the environmental quality. The results for the pollution model confer that shadow economy increases emissions in Pakistan, decreases in Bangladesh and Nepal, and has no effect in India and Sri Lanka. The nonlinear ARDL results reveal that the positive components of the shadow economy significantly increase clean energy consumption only in Pakistan; however, the negative components of the shadow economy are negatively significant in all countries except Sri Lanka and Nepal. However, the negative component of the informal sector of the economy reduces CO2 emissions in India and increases CO2 emissions in Bangladesh and Nepal. The results offer important policy implications for achieving clean energy and better environmental quality in South Asian countries.

The Criticality of Tourism Development, Economic Complexity, and Country Security on Ecological Footprint

2021 ◽  
Author(s):  
Chien-Chiang Lee ◽  
Mei-Ping Chen ◽  
Wenmin Wu
Keyword(s):  
Environmental Degradation ◽  
Environmental Quality ◽  
Ecological Footprint ◽  
Tourism Development ◽  
Negative Influence ◽  
Development Economic ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Specific Level ◽  
Economic Complexity

Abstract What kinds of countries are likely to be prosperous and have a sustainable environment at the same time? How might countries reorient their policy setting to be more capable of suppressing environmental degradation? To explore these questions, this research takes the six major kinds of ecological footprint (EF) as indicators of environmental quality and probes the environmental Kuznets curve (EKC) hypothesis. We find that tourism development corresponds to more usage of carbon absorption land and cropland. Second, the lower (higher) a nation’s security is, the better (worse) is its the environmental quality. Third, economic complexity worsens environmental quality and does not effectively resolve environmental degradation. Fourth, country security weakens the negative influence of tourism development (economic complexity) on environmental quality. Fifth, increasing tourist arrivals should reach a specific level in order to raise the ecological footprint, which leads to greater environmental sacrifice. Sixth, the inverted U-shape relationship of economic complexity at the lowest to intermediate cropland quantiles supports the economic complexity-induced EKC hypothesis. Seventh, the country security-induced EKC hypothesis is supported in some specific EF quantiles. Finally, we show that tourism arrivals, economic complexity, and country security have varying impacts across diverse ecological footprint quantiles.

Modelling the Macroeconomic Determinants of Carbon Dioxide Emissions in the G-7 Countries: The Roles of Technological Innovation and Institutional Quality Improvement

2021 ◽  
pp. 097215092110393
Author(s):  
Ahsan Anwar ◽  
Amatul R. Chaudhary ◽  
Summaira Malik ◽  
Mohga Bassim
Keyword(s):  
Carbon Dioxide ◽  
Technological Innovation ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Institutional Quality ◽  
Renewable Energy Consumption ◽  
Cross Sectional ◽  
Environmentally Sustainable ◽  
Group Of Seven

The group of seven (G-7) countries are seven of the most advanced global nations. Yet, these nations have not been able to achieve environmentally sustainable economic growth (EG) in the past. Consequently, despite growing economically, the environmental quality in the G-7 countries has persistently deteriorated. Hence, the present study examined the environmental impacts associated with EG, technological innovation, institutional quality (IQ), renewable energy consumption (RENE) and population using the carbon dioxide emission figures to measure environmental quality in the G-7 economies for the period 1996–2018. The econometric analyses involved the application of different estimation techniques that control the cross-sectional dependency and slope heterogeneity issues in the data. Overall, the results indicated that greater EG and higher population size increase environmental pollution by boosting the carbon dioxide emission levels. In contrast, technological innovation, IQ improvement, and greater RENE were found to impede the carbon dioxide emission levels. In line with these key findings, several environmental development-related policies are recommended.

The impact of non-clean energy consumption on economic growth: Evidence from symmetric and asymmetric analyses in the US

2019 ◽  
Vol 31 (2) ◽  
pp. 291-307 ◽  
Author(s):  
Hung-Ming Wu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Quality ◽  
Clean Energy ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
The Us ◽  
The Impact

Non-clean energy consumption is one of the key components of environmental quality. The current study investigates the symmetric and asymmetric effects of non-clean energy consumption (total fossil fuel consumption) on economic growth by including clean energy consumption (nuclear electric power consumption and total renewable energy consumption) as well as capital and financial development in the production function. The linear autoregressive distributed lag and nonlinear autoregressive distributed lag bounds testing approaches were applied to conduct symmetric and asymmetric analyses in the US. The range of analysis is from 1960 to 2015. Ultimately, the study’s findings indicate that non-clean energy has an asymmetric effect on economic growth. In other words, improving environmental quality (by decreasing non-clean energy consumption) will reduce economic growth in the long term, but not in the short term. This research is therefore applicable for policymakers in the US.

scholarly journals Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

2021 ◽  
Vol 13 (8) ◽  
pp. 4224
Author(s):  
Jian Xue ◽  
Zeeshan Rasool ◽  
Raima Nazar ◽  
Ahmad Imran Khan ◽  
Shaukat Hussain Bhatti ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Natural Resources ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Ecological Footprint ◽  
Nitrous Oxide Emissions ◽  
Gas Emissions

Widespread interference of human activities has resulted in major environmental problems, including pollution, global warming, land degradation, and biodiversity loss, directly affecting the sustainability and quality of the environment and ecosystem. The study aims to address the impact of the extraction of natural resources and globalization on the environmental quality in the South Asian countries for the period 1991–2018. A new methodology Dynamic Common Correlated Effects is used to deal with cross-sectional dependence. Most previous studies use only carbon dioxide emissions, which is an inadequate measure of environmental quality. Besides carbon dioxide emissions, we have used other greenhouse gas emissions like nitrous oxide and methane emissions with a new indicator, “ecological footprint”. Long-run estimation results indicate a positive and significant relationship of natural resources with all greenhouse gas emissions and a negative association with the ecological footprint. Globalization shows a negative association with carbon dioxide emissions and nitrous oxide emissions and a positive relationship with the ecological footprint. Institutional performance is negatively correlated with carbon dioxide emissions, methane emissions, and ecological footprint while positively associated with nitrous oxide emissions. The overall findings highlight the pertinence of reducing greenhouse gas emissions and ecological footprint, proper utilizing of natural resources, enhancing globalization, and improving institutional performance to ensure environmental sustainability.

Sign in / Sign up

Export Citation Format

Share Document