Environmental consequences of trade-induced uncertainty: Evidence from econometric estimation
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DOI: 10.1016/j.rser.2023.114106
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- Hongguang Sui & Xijie Li & Ali Raza & Shihua Zhang, 2022. "Impact of trade policy uncertainty on export products quality: new evidence by considering role of social capital," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 997-1024, December.
- Khan, Irfan & Hou, Fujun & Le, Hoang Phong & Ali, Syed Ahtsham, 2021. "Do natural resources, urbanization, and value-adding manufacturing affect environmental quality? Evidence from the top ten manufacturing countries," Resources Policy, Elsevier, vol. 72(C).
- Ahir, Hites & Bloom, Nicholas & Furceri, Davide, 2022.
"The world uncertainty index,"
LSE Research Online Documents on Economics
117833, London School of Economics and Political Science, LSE Library.
- Hites Ahir & Nicholas Bloom & Davide Furceri, 2022. "The world uncertainty index," CEP Discussion Papers dp1842, Centre for Economic Performance, LSE.
- Hites Ahir & Nicholas Bloom & Davide Furceri, 2022. "The world uncertainty index," POID Working Papers 062, Centre for Economic Performance, LSE.
- Hites Ahir & Nicholas Bloom & Davide Furceri, 2022. "The World Uncertainty Index," NBER Working Papers 29763, National Bureau of Economic Research, Inc.
- Hites Ahir & Nicholas Bloom & Davide Furceri, 2022. "The world uncertainty index," POID Working Papers 031, Centre for Economic Performance, LSE.
- Xiao, Zhijie, 2009.
"Quantile cointegrating regression,"
Journal of Econometrics, Elsevier, vol. 150(2), pages 248-260, June.
- Zhijie Xiao, 2009. "Quantile Cointegrating Regression," Boston College Working Papers in Economics 708, Boston College Department of Economics.
- Ozkan, Oktay & Haruna, Roselyn Afor & ALOLA, Andrew Adewale & Ghardallou, Wafa & Usman, Ojonugwa, 2023. "Investigating the nexus between economic complexity and energy-related environmental risks in the USA: Empirical evidence from a novel multivariate quantile-on-quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 382-392.
- Irfan Khan & Fujun Hou & Abdulrasheed Zakari & Vincent Tawiah & Syed Ahtsham Ali, 2022. "Energy use and urbanization as determinants of China’s environmental quality: prospects of the Paris climate agreement," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(13), pages 2363-2386, October.
- Song, Kaiyi & Dai, Wei & Bian, Yuanchao, 2023. "Trade policy uncertainty and environmental performance of Chinese enterprises," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 73-85.
- Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
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Keywords
Trade uncertainty; Environmental quality; Quantile estimation;All these keywords.
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