Relevance of fintech and energy transition to green growth: Empirical evidence from China.

Due to its heavy reliance on fossil fuels and rapid urbanization, China's economic growth is accompanied by environmental problems. Hence, it is vital to solve the issue by promoting green growth and finding factors to boost it. The current study presents FinTech as a factor enhancing green growth in China through the mediation effect of the energy transition.

Repercussions of Pakistan's renewable and non-renewable energies to the environmental footprint: Applying the non-linear ARDL estimation.

The energy consumption in Pakistan, both renewable and nonrenewable, is examined herein as an important factor in carbon emissions. Employing a nonlinear ARDL (auto-regressive distributed lag), the research examines data from 1980 to 2021. The results show that the use of renewable energy has a negligible effect when it comes to the nation's overall carbon emissions.

Implications of circular economy, digitalization and technological innovation to achieve sustainable environmental goal: Pre and post-vision 2030.

The current study contributes to the existing literature by constructing a digitalization index to investigate the significance of digitalization in controlling the environmental footprint. Moreover, the dataset is divided into pre-Vision 2030 and post-Vision 2030 implementation to scrutinize the progress of Saudi Vision 2030 to counter the environmental challenges. Vision 2030 is a strategic framework to reduce Saudi Arabia's dependence on oil, diversify its economy, and develop public service sectors such as health, education, infrastructure, recreation, and tourism.

The prospect of green hydrogen in Saudi Arabia: an overview of theoretical and empirical approach.

Saudi Arabia is in a great position to create low-cost green hydrogen to diversify the economy and assist other nations in meeting carbon emission reduction targets due to the abundance of renewable energy sources, including solar and wind. The country may achieve this by becoming a leader in green hydrogen exports. The current research explores the prospects of green hydrogen production in the Saudi Arabia to demonstrate the current stage of hydrogen production in these countries.

Emerging trends of green hydrogen and sustainable environment in the case of Australia.

The world faces immense pressure regarding the negative impacts of increased greenhouse gas emissions, climate change, global warming, droughts, and many other environmental problems. Australia is also facing the same issues and requires urgent attention. In this research, we have examined the effect of hydrogen firms on Australia's greenhouse gas emissions.

Sustainability in the global value chain-a scientometric analysis.

For its promise in enhancing sustainability, the global value chain (GVC) has grown in relevance and sparked many studies. Due to different value activities in multiple countries and industry clusters, the competition and cooperation among value chains have attracted the considerable attention of business leaders and academicians worldwide. GVC-related sustainability research is a niche area despite its widespread presence in the literature.

Trade balance, monetary supply, commodity prices, and greener energy growth: contextual evidence from BRICS economies in the lens of sustainability.

The prime objective of this study is to examine the heterogenous impacts of money supply, commodity prices, and trade balance on the greener energy growth in BRICS economies. The BRICS economies are the leading trade block and have huge investments on greener energy projects. In doing so, we employ the data from January 2010 to May 2021 and employed panel fixed regression methods.

Empirical Evidence of Environmental Technologies, Renewable Energy and Tourism to Minimize the Environmental Damages: Implication of Advanced Panel Analysis.

The motivation behind this research is to investigate the determinants of the ecological footprint in MENA countries and find appropriate solutions. We updated the STIRPAT model and applied sophisticated panel techniques to data from 1996 to 2020. According to the findings, economic expansion along with urbanization and tourism is to blame for these countries' huge environmental footprints.

Empirical relationship between creativity and carbon intensity: a case of OPEC countries.

This article attempts to examine the role of creativity on carbon intensity in case of Organization of the Petroleum Exporting Countries (OPEC) countries. The panel estimation techniques are used for annual data for the period of 1990-2018. The empirical evidence affirms that patent rights and innovation act as a policy factor in controlling carbon intensity, i.

A study on the effects of meteorological and climatic factors on the COVID-19 spread in Canada during 2020.

The Coronavirus (COVID-19) pandemic has infected more than three million people, with thousands of deaths and millions of people into quarantine. In this research, the authors focus on meteorological and climatic factors on the COVID-19 spread, the main parameters including daily new cases of COVID-19, carbon dioxide (CO) emission, nitrogen dioxide (NO), Sulfur dioxide (SO), PM, Ozone (O), average temperature, and humidity are examined to understand how different meteorological parameters affect the COVID-19 spread in Canada? The graphical quantitative analysis results indicate that CO emissions, air quality, temperature, and humidity have a direct negative relationship with COVID-19 infections. Quantile regression analysis revealed that air quality, Nitrogen, and Ozone significantly induce the COVID-19 spread across Canadian provinces.

The impact of COVID-19 on Karachi stock exchange: Quantile-on-quantile approach using secondary and predicted data.

During the pandemic, the stock markets of developed countries have reported a jittery trend. The current study focuses on the impact of COVID-19 on Pakistani stock market, which belongs to a developing economy. The findings of current study have contradicted with the previous studies, which reported an adverse effect of COVID-19 on developed stock markets.

COVID-19 challenges to Pakistan: Is GIS analysis useful to draw solutions?

The outbreak of novel coronavirus (COVID-19) is a public health emergency that had caused disastrous results in more than 100 countries. The ability to detect disease outbreaks in the early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatial analysis techniques, there is great potential to develop algorithms to enable more effective disease surveillance.

The willingness and perception of people regarding green roofs installation.

Developing economies are facing multifaceted problems like dramatic increase in motorized traffic, urban heat island, urban sprawl, and climatic changes. Environmental Performance Index report states that Pakistan is on 169 among 180 countries due to ill-planned development on prime agriculture land, poor air, water quality, and jeopardizing ecosystem of the country. The change of land uses from the natural to the built environment has created problems like loss of vegetation and habitat, enlarged surface flow, and heavy floods.

Nexus Among Economic Growth, Education, Health, and Environment: Dynamic Analysis of World-Level Data.

The aim of current study is to examine the nexus among economic growth, education, health issues, and carbon emission for the panel of 161 countries. Education and health have confirmed insignificant coefficients for economic growth and carbon emission, which mention that higher education and better health conditions are not useful for boosting economic development and for controlling environmental degradation process. Empirical estimations have reported that higher capital investment leads to increase the economic process and carbon emission.

Role of urban income, industrial carbon treatment plants and forests to control the carbon emission in China.

Present study contributes to the existing literature by introducing the role of urban income and urban expenditure to control the carbon emission, especially produced by urbanization. Additionally, investment in industrial treatment plant is used to study its impact in carbon reduction. By using the data of 30 Chinese provinces over the period of 2005-2015, we have reported that urbanization and industrialization are main culprits of the carbon emission, whereas the higher urban income leads to decrease the carbon emission that has been caused by urbanization, as mentioned by the negative coefficient of urban income.

Agricultural practices and quality of environment: evidence for global perspective.

The study emphasizes to examine the causal relationship among CO emission, agricultural value added, industrial production, urbanization, nuclear energy consumption, and economic growth across the panel of 59 countries. The data is collected from World Bank database over the period of 1982-2015. For econometric estimations, we have divided the sample into different income groups: low income, lower middle income, upper middle income, and higher income.

The impact of carbon emission and forest activities on health outcomes: empirical evidence from China.

The higher economic growth of China intensifies the consumption of fossil fuel, such as coal and oil, for electricity generation, transportation etc., which is responsible for environmental degradation through the emissions of carbon, sulfur, and nitrogen etc. The objectives of this study are to investigate the impact of greenhouse gas emission on health issues and provide the effective solution to overcome health-related issues, caused by carbon, sulfur, and nitrogen emission.

Impact of urbanization on energy intensity by adopting a new technique for regional division: evidence from China.

Using unbalanced data from 30 provinces in China between 1990 and 2015, this paper investigates the impact of urbanization on energy intensity with three control variables: economic growth, industrialization, and foreign direct investment. All the samples are divided into two sub-samples using a newly developed partially heterogeneous framework. For empirical estimations, we have used four models that deal with the homogeneous-heterogeneous slope with static-dynamic model specifications.