This paper considers unit root regressions in data having simultaneously extensive cross-section and time-series variation. The standard least-squares estimators in such data structures turn out to have an asymptotic distribution that is neither Op(T-1) Dickey-Fuller, nor Op(N-?) normal and asymptotically unbiased. Instead, the estimator turns out to be consistent and asymptotically normal, but has a non-vanishing bias in its asymptotic distribution.

Exploiting Cross Section Variation for Unit Root Inference in Dynamic Data (Now published in Economics Letters 44 (1), 1994, pp.9-19.)

Interplay between technological innovation and environmental quality: Formulating the SDG policies for next 11 economies

Energy security and environmental sustainability have become an integral policy agenda worldwide whereby the global economic growth policies are being restructured to ensure the reliability of energy supply and safeguard environmental well-being as well However, technological inefficiency is one of the major hindrances in attaining these over-arching goals Hence, this paper probed into the non-linear impacts of ICT trade on the prospects of undergoing renewable energy transition, improving energy use efficiencies, enhancing access to cleaner cooking fuels, and mitigating carbon dioxide emissions across selected South Asian economies: Bangladesh, India, Pakistan, Sri Lanka, Nepal, and Maldives The results from the econometric analyses reveal that ICT trade directly increases renewable energy consumption, enhances renewable energy shares, reduces intensity of energy use, facilitates adoption of cleaner cooking fuels, and reduces carbon-dioxide emissions Moreover, ICT trade also indirectly mitigates carbon-dioxide emissions through boosting renewable energy consumption levels, improving energy efficiencies, and enhancing cleaner cooking fuel access Hence, these results, in a nutshell, portray the significance of reducing the barriers to ICT trade with respect to ensuring energy security and environmental sustainability across South Asia Therefore, it is ideal for the government to gradually lessen the trade barriers to boost the volumes of cross-border flows of green ICT commodities Besides, it is also recommended to attract foreign direct investments for the potential development of the respective ICT sectors of the South Asian economies

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An empirical analysis of the non-linear impacts of ICT-trade openness on renewable energy transition, energy efficiency, clean cooking fuel access and environmental sustainability in South Asia

ICT and environmental quality in Sub-Saharan Africa: Effects and transmission channels

General purpose technologies

Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis

The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU

Information and communications technology (ICT) has developed economies and the way of energy consuming through the access, analysis, planning, and management of information. Such innovation, hence, explains the important direct effects on the environment and carbon dioxide (CO2) emissions in a region or causes the spillover effects on other regions. This research examines the relationship between ICT and CO2 emissions to have both within-region effects and spillover effects on other regions. In this way, ICT and the square of ICT were combined into the environmental Kuznets curve to specify the direct, spatial spillover, and total effects of ICT on CO2 emissions. The dynamic spatial Durbin model was used to estimate the effects of ICT on the provinces of Iran for a period of 2001 to 2015. The results showed that the spatial spillover effects of ICT on CO2 emissions have an inverted U-shaped relationship in short and long run. This findings show that an increase in the ICT in a province first causes to increase and then decrease the CO2 emissions in other provinces.

Rouhollah Shahnazi

Papers

Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis

The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU

The effects of spatial spillover information and communications technology on carbon dioxide emissions in Iran

Do renewable energy production spillovers matter in the EU

Spatial distribution dynamics and prediction of COVID‐19 in Asian countries: spatial Markov chain approach