Adams, S.; Adedoyin, F.; Olaniran, E.; Bekun, F.V. Energy Consumption, Economic Policy Uncertainty and Carbon Emissions; Causality Evidence from Resource Rich Economies. Econ. Anal. Policy 2020, 68, 179â190. [CrossRef]
Andreou, E.; Ghysels, E.; Kourtellos, A. Forecasting with Mixed-Frequency Data. In The Oxford Handbook of Economic Forecasting; Oxford University Press: Oxford, UK, 2010; Volume 26, pp. 225â246. [CrossRef]
- Andreou, E.; Ghysels, E.; Kourtellos, A. Regression Models with Mixed Sampling Frequencies. J. Econom. 2011, 158, 246â261. [CrossRef]
Paper not yet in RePEc: Add citation now
Andreou, E.; Ghysels, E.; Kourtellos, A. Should Macroeconomic Forecasters Use Daily Financial Data and How? J. Bus. Econ. Stat. 2013, 31, 240â251. [CrossRef]
- Asumadu-Sarkodie, S.; Owusu, P.A. Recent Evidence of the Relationship between Carbon Dioxide Emissions, Energy Use, GDP, and Population in Ghana: A Linear Regression Approach. Energy Sources Part B Econ. Plan. Policy 2017, 12, 495â503. [CrossRef]
Paper not yet in RePEc: Add citation now
- Asumadu-Sarkodie, S.; Owusu, P.A. The Potential and Economic Viability of Solar Photovoltaic Power in Ghana. Energy Sources Part A Recovery Util. Environ. Eff. 2016, 38, 709â716. [CrossRef]
Paper not yet in RePEc: Add citation now
- Chaabouni, S.; Saidi, K. The Dynamic Links between Carbon Dioxide (CO2) Emissions, Health Spending and GDP Growth: A Case Study for 51 Countries. Environ. Res. 2017, 158, 137â144. [CrossRef]
Paper not yet in RePEc: Add citation now
Chang, C.C. A Multivariate Causality Test of Carbon Dioxide Emissions, Energy Consumption and Economic Growth in China. Appl. Energy 2010, 87, 3533â3537. [CrossRef]
Cioca, G.; Nerişanu, R.A. The Effects of Pandemic Restrictions on Public HealthâImprovements in Urban Air Quality. Int. J. Environ. Res. Public Health 2022, 19, 9022. [CrossRef]
- Clements, M.P.; Galvão, A.B. Macroeconomic Forecasting with Mixed-Frequency Data: Forecasting Output Growth in the United States. J. Bus. Econ. Stat. 2008, 26, 546â554. [CrossRef]
Paper not yet in RePEc: Add citation now
- Cui, Y.; Zha, H.; Dang, Y.; Qiu, L.; He, Q.; Jiang, L. Spatio-Temporal Heterogeneous Impacts of the Drivers of NO2 Pollution in Chinese Cities: Based on Satellite Observation Data. Remote Sens. 2022, 14, 3487. [CrossRef]
Paper not yet in RePEc: Add citation now
Cui, Y.; Zhang, W.; Wang, C.; Streets, D.G.; Xu, Y.; Du, M.; Lin, J. Spatiotemporal Dynamics of CO2 Emissions from Central Heating Supply in the North China Plain over 2012â2016 Due to Natural Gas Usage. Appl. Energy 2019, 241, 245â256. [CrossRef]
- Dang, Y.; Chen, L.; Zhang, W.; Zheng, D.; Zhan, D. How Does Growing City Size Affect Residentsâ Happiness in Urban China? A Case Study of the Bohai Rim Area. Habitat Int. 2020, 97, 102120. [CrossRef]
Paper not yet in RePEc: Add citation now
- Diron, M. Short-Term Forecasts of Euro Area Real GDP Growth: An Assessment of Real-Time Performance Based on Vintage Data. J. Forecast. 2008, 27, 371â390. [CrossRef]
Paper not yet in RePEc: Add citation now
Famiglietti, M.; Leibovici, F. The Impact of Health and Economic Policies on the Spread of COVID-19 and Economic Activity. Eur. Econ. Rev. 2022, 144, 104087. [CrossRef]
- Farhani, S.; Ozturk, I. Causal Relationship between CO2 Emissions, Real GDP, Energy Consumption, Financial Development, Trade Openness, and Urbanization in Tunisia. Environ. Sci. Pollut. Res. 2015, 22, 15663. [CrossRef]
Paper not yet in RePEc: Add citation now
Foroni, C.; Marcellino, M.; Schumacher, C. Unrestricted Mixed Data Sampling (MIDAS): MIDAS Regressions with Unrestricted Lag Polynomials. J. R Stat. Soc. 2015, 178 Pt 1, 57â82. [CrossRef]
Ghysels, E.; Qian, H. Estimating MIDAS Regressions via OLS with Polynomial Parameter Profiling. Econom. Stat. 2019, 9, 1â16. [CrossRef]
Ghysels, E.; Santa-Clara, P.; Valkanov, R. Predicting Volatility: Getting the Most out of Return Data Sampled at Different Frequencies. J. Econom. 2006, 131, 59â95. [CrossRef]
Ghysels, E.; Sinko, A.; Valkanov, R. MIDAS Regressions: Further Results and New Directions. Econom. Rev. 2007, 26, 53â90. [CrossRef]
Ghysels, E.; Valkanov, R. The MIDAS Touch: Mixed Data Sampling Regression Models. Cirano Work. Pap. 2004, 5, 512â517. [CrossRef]
Ghysels, E.; Wright, J.H. Forecasting Professional Forecasters. J. Bus. Econ. Stat. 2006, 27, 504â516. [CrossRef]
Govindaraju, V.; Tang, C.F. The Dynamic Links between CO2 Emissions, Economic Growth and Coal Consumption in China and India. Appl. Energy 2013, 104, 310â318. [CrossRef]
- Han, P.; Cai, Q.; Oda, T.; Zeng, N.; Shan, Y.; Lin, X.; Liu, D. Assessing the Recent Impact of COVID-19 on Carbon Emissions from China Using Domestic Economic Data. Sci. Total Environ. 2021, 750, 141688. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
- Heidari, H.; Katircioglu, S.T.; Saeidpour, L. Economic Growth, CO2 Emissions, and Energy Consumption in the Five ASEAN Countries. Int. J. Electr. Power Energy Syst. 2015, 64, 785â791. [CrossRef]
Paper not yet in RePEc: Add citation now
Hoa, T.V.; Limskul, K. Economic Impact of CO2 Emissions on Thailandâs Growth and Climate Change Mitigation Policy: A Modelling Analysis. Econ. Model. 2013, 33, 651â658. [CrossRef]
- Hu, C.; Griffis, T.J.; Xia, L.; Xiao, W.; Liu, C.; Xiao, Q.; Huang, X.; Yang, Y.; Zhang, L.; Hou, B. Anthropogenic CO2 Emission Reduction during the COVID-19 Pandemic in Nanchang City, China. Environ. Pollut. 2022, 309, 119767. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
- Hu, J.; Chen, J.; Zhu, P.; Hao, S.; Wang, M.; Li, H.; Liu, N. Difference and Cluster Analysis on the Carbon Dioxide Emissions in China During COVID-19 Lockdown via a Complex Network Model. Front. Psychol. 2022, 12, 795142. [CrossRef]
Paper not yet in RePEc: Add citation now
- Jardet, C.; Meunier, B. Nowcasting World GDP Growth with High-Frequency Data. J. Forecast. 2022, 41, 1181â1200. [CrossRef]
Paper not yet in RePEc: Add citation now
- Jiang, Y.; Guo, Y.; Zhang, Y. Forecasting Chinaâs GDP Growth Using Dynamic Factors and Mixed-Frequency Data. Econ. Model. 2017, 66, 132â138. [CrossRef]
Paper not yet in RePEc: Add citation now
- Jiang, Y.; Khan, H. The Relationship between Renewable Energy Consumption, Technological Innovations, and Carbon Dioxide Emission: Evidence from Two-Step System GMM. Environ. Sci. Pollut. Res. 2022. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
Kaufmann, S. COVID-19 Outbreak and beyond: The Information Content of Registered Short-Time Workers for GDP Now- and Forecasting. Swiss J. Econ. Stat. 2020, 156, 12. [CrossRef]
Khalfaoui, R.; Tiwari, A.K.; Khalid, U.; Shahbaz, M. Nexus between Carbon Dioxide Emissions and Economic Growth in G7 Countries: Fresh Insights via Wavelet Coherence Analysis. J. Environ. Plan. Manag. 2021, 66, 31â66. [CrossRef]
- Liu, H.; Lei, M.; Zhang, N.; Du, G. The Causal Nexus between Energy Consumption, Carbon Emissions and Economic Growth: New Evidence from China, India and G7 Countries Using Convergent Cross Mapping. PLoS ONE 2019, 14, e0217319. [CrossRef]
Paper not yet in RePEc: Add citation now
- Liu, W. EKC Test Study on the Relationship between Carbon Dioxide Emission and Regional Economic Growth. Carbon Manag. 2020, 11, 415â425. [CrossRef]
Paper not yet in RePEc: Add citation now
Liu, X.; Leung, Y.; Xu, Y.; Yung, L.C.W. The Effect of Carbon Tax on Carbon Emission Abatement and GDP: A Case Study. J. Geogr. Syst. 2017, 19, 399â414. [CrossRef] Sustainability 2022, 14, 16762 16 of 16
- Liu, X.; Yang, X. Impact of Chinaâs Environmental Decentralization on Carbon Emissions from Energy Consumption: An Empirical Study Based on the Dynamic Spatial Econometric Model. Environ. Sci. Pollut. Res. 2022, 29, 72140â72158. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
- Liu, X.; Zhou, D.; Zhou, P.; Wang, Q. Factors Driving Energy Consumption in China: A Joint Decomposition Approach. J. Clean. Prod. 2018, 172, 724â734. [CrossRef]
Paper not yet in RePEc: Add citation now
- Liu, Z.; Ciais, P.; Deng, Z.; Lei, R.; Davis, S.J.; Feng, S.; Zheng, B.; Cui, D.; Dou, X.; Zhu, B.; et al. Near-Real-Time Monitoring of Global CO2 Emissions Reveals the Effects of the COVID-19 Pandemic. Nat. Commun. 2020, 11, 5172. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
- Liu, Z.; Deng, Z.; Zhu, B.; Ciais, P.; Davis, S.J.; Tan, J.; Andrew, R.M.; Boucher, O.; Arous, S.B.; Canadell, J.G.; et al. Global Patterns of Daily CO2 Emissions Reductions in the First Year of COVID-19. Nat. Geosci. 2022, 15, 615â620. [CrossRef]
Paper not yet in RePEc: Add citation now
- Marjanovic, V.; Milovancevic, M.; Mladenovic, I. Prediction of GDP Growth Rate Based on Carbon Dioxide (CO2) Emissions. J. CO2 Util. 2016, 16, 212â217. [CrossRef]
Paper not yet in RePEc: Add citation now
- Mi, Z.; Zheng, J.; Meng, J.; Shan, Y.; Zheng, H.; Ou, J.; Guan, D.; Wei, Y.-M. Chinaâs Energy Consumption in the New Normal. Earths Future 2018, 6, 1007â1016. [CrossRef]
Paper not yet in RePEc: Add citation now
Monteforte, L.; Moretti, G. Real-Time Forecasts of Inflation: The Role of Financial Variables. J. Forecast. 2010, 32, 51â61. [CrossRef]
- Nguyen, X.P.; Hoang, A.T.; Ãlçer, A.I.; Huynh, T.T. Record Decline in Global CO2 Emissions Prompted by COVID-19 Pandemic and Its Implications on Future Climate Change Policies. Energy Sources Part A Recovery Util. Environ. Eff. 2021, 1â4. [CrossRef]
Paper not yet in RePEc: Add citation now
Omri, A.; Nguyen, D.K.; Rault, C. Causal Interactions between CO2 Emissions, FDI, and Economic Growth: Evidence from Dynamic Simultaneous-Equation Models. Econ. Model. 2014, 42, 382â389. [CrossRef]
- Ray, R.L.; Singh, V.P.; Singh, S.K.; Acharya, B.S.; He, Y. What Is the Impact of COVID-19 Pandemic on Global Carbon Emissions? Sci. Total Environ. 2022, 816, 151503. [CrossRef]
Paper not yet in RePEc: Add citation now
Saboori, B.; Sulaiman, J. CO2 Emissions, Energy Consumption and Economic Growth in Association of Southeast Asian Nations (ASEAN) Countries: A Cointegration Approach. Energy 2013, 55, 813â822. [CrossRef] Sustainability 2022, 14, 16762 15 of 16
- Saidi, K.; Hammami, S. The Impact of Energy Consumption and CO2 Emissions on Economic Growth: Fresh Evidence from Dynamic Simultaneous-Equations Models. Sustain. Cities Soc. 2015, 14, 178â186. [CrossRef]
Paper not yet in RePEc: Add citation now
- Sajid, M.J.; Gonzalez, E.D.R.S. The Impact of Direct and Indirect COVID-19 Related Demand Shocks on Sectoral CO2 Emissions: Evidence from Major Asia Pacific Countries. Sustainability 2021, 13, 9312. [CrossRef]
Paper not yet in RePEc: Add citation now
Schumacher, C.; Breitung, J. Real-Time Forecasting of German GDP Based on a Large Factor Model with Monthly and Quarterly Data. Int. J. Forecast. 2008, 24, 386â398. [CrossRef]
- Shi, L.; Vause, J.; Li, Q.; Tang, L.; Zhao, J. Decoupling Analysis of Energy Consumption and Economic Development in China. Energy Sources Part B Econ. Plan. Policy 2016, 11, 788â792. [CrossRef]
Paper not yet in RePEc: Add citation now
Silvestrini, A.; Veredas, D. Temporal Aggregation of Univariate and Multivariate Time Series Models: A Survey. J. Econ. Surv. 2008, 22, 458â497. [CrossRef]
- Song, M.; Wang, S.; Yu, H.; Yang, L.; Wu, J. To Reduce Energy Consumption and to Maintain Rapid Economic Growth: Analysis of the Condition in China Based on Expended IPAT Model. Renew. Sustain. Energy Rev. 2011, 15, 5129â5134. [CrossRef]
Paper not yet in RePEc: Add citation now
Tamasiga, P.; Guta, A.T.; Onyeaka, H.; Kalane, M.S. The Impact of Socio-Economic Indicators on COVID-19: An Empirical Multivariate Analysis of Sub-Saharan African Countries. J. Soc. Econ. Dev. 2022, 24, 493â510. [CrossRef]
- Teng, B.; Wang, S.; Shi, Y.; Sun, Y.; Wang, W.; Hu, W.; Shi, C. Economic Recovery Forecasts under Impacts of COVID-19. Econ. Model. 2022, 110, 105821. [CrossRef]
Paper not yet in RePEc: Add citation now
Tsui, A.K.; Xu, C.Y.; Zhang, Z. Macroeconomic Forecasting with Mixed Data Sampling Frequencies: Evidence from a Small Open Economy. J. Forecast. 2018, 37, 666â675. [CrossRef]
Wang, K.; Zhao, B.; Fan, T.; Zhang, J. Economic Growth Targets and Carbon Emissions: Evidence from China. Int. J. Environ. Res. Public Health 2022, 19, 8053. [CrossRef]
- Wu, J.; Mohamed, R.; Wang, Z. An Agent-Based Model to Project Chinaâs Energy Consumption and Carbon Emission Peaks at Multiple Levels. Sustainability 2017, 9, 893. [CrossRef]
Paper not yet in RePEc: Add citation now
- Xu, X.; Liao, M. Prediction of Carbon Emissions in Chinaâs Power Industry Based on the Mixed-Data Sampling (MIDAS) Regression Model. Atmosphere 2022, 13, 423. [CrossRef]
Paper not yet in RePEc: Add citation now
- Yang, M.; Chen, L.; Msigwa, G.; Tang, K.H.D.; Yap, P.-S. Implications of COVID-19 on Global Environmental Pollution and Carbon Emissions with Strategies for Sustainability in the COVID-19 Era. Sci. Total Environ. 2022, 809, 151657. [CrossRef] [PubMed]
Paper not yet in RePEc: Add citation now
- Yuan, X.; Mu, R.; Zuo, J.; Wang, Q. Economic Development, Energy Consumption, and Air Pollution: A Critical Assessment in China. Hum. Ecol. Risk Assess. Int. J. 2015, 21, 781â798. [CrossRef]
Paper not yet in RePEc: Add citation now
- Zhao, L.; Lin, K.-J. The Speed and Quality of Chinaâs Economic Growth during the Covid-19 Pandemic. Singap. Econ. Rev. 2022, 1â17. [CrossRef]
Paper not yet in RePEc: Add citation now
Zhao, X.; Jiang, M.; Zhang, W. Decoupling between Economic Development and Carbon Emissions and Its Driving Factors: Evidence from China. Int. J. Environ. Res. Public Health 2022, 19, 2893. [CrossRef]