Z
Zhilun Jiao
Researcher at Nankai University
Publications - 39
Citations - 2659
Zhilun Jiao is an academic researcher from Nankai University. The author has contributed to research in topics: Consumption (economics) & Cointegration. The author has an hindex of 15, co-authored 32 publications receiving 813 citations.
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Consumption-based carbon emissions and International trade in G7 countries: The role of Environmental innovation and Renewable energy
TL;DR: To explore the unidentified determinants of CO2 emissions in G7 countries from 1990 to 2017, this study uses second-generation panel co-integration methodologies and confirms a stable long-run relationship amongCO2 emissions, trade, income, environmental innovation and renewable energy consumption.
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Public-private partnerships investment in energy as new determinant of CO2 emissions: The role of technological innovations in China
TL;DR: In this paper, the authors explored the relationship between public-private partnerships investment in energy sector and carbon emissions considering the vital role of technological innovations in carbon emissions function for China and applied bootstrapping autoregressive distributed lag modeling (BARDL) for examining the cointegration between carbon emissions and its determinants.
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The Effect of Renewable Energy Consumption on Economic Growth: Evidence from the Renewable Energy Country Attractive Index
Muhammad Shahbaz,Muhammad Shahbaz,Chandrashekar Raghutla,Krishna Reddy Chittedi,Zhilun Jiao,Xuan Vinh Vo +5 more
TL;DR: In this paper, the effect of renewable energy consumption on economic growth across 38 renewable-energy consuming countries from 1990 to 2018 was analyzed using dynamic ordinary least squares (DOLS), fully modified ordinary least square (FMOLS) and heterogeneous non-causality approaches.
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Natural resource abundance, technological innovation, and human capital nexus with financial development: A case study of China
TL;DR: In this article, the authors used an augmented Dickey-Fuller unit root test with and without structural breaks and Carrion-i-Silvestre et al. this article generalized least squares based test to examine the stationary properties of the variables.