Elucidating the consumption and CO2 emissions of fossil fuels and low-carbon energy in the United States using Lotka–Volterra models
Author
Abstract
Suggested Citation
DOI: 10.1016/j.energy.2015.12.045
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Gonzales Chavez, S & Xiberta Bernat, J & Llaneza Coalla, H, 1999. "Forecasting of energy production and consumption in Asturias (northern Spain)," Energy, Elsevier, vol. 24(3), pages 183-198.
- Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
- James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1.
- Thomas Jacob & John Wahr & W. Tad Pfeffer & Sean Swenson, 2012. "Recent contributions of glaciers and ice caps to sea level rise," Nature, Nature, vol. 482(7386), pages 514-518, February.
- Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801, October.
- Fthenakis, Vasilis M. & Kim, Hyung Chul, 2007. "Greenhouse-gas emissions from solar electric- and nuclear power: A life-cycle study," Energy Policy, Elsevier, vol. 35(4), pages 2549-2557, April.
- Sovacool, Benjamin K., 2008. "Valuing the greenhouse gas emissions from nuclear power: A critical survey," Energy Policy, Elsevier, vol. 36(8), pages 2940-2953, August.
- Tomás, R.A.F. & Ramôa Ribeiro, F. & Santos, V.M.S. & Gomes, J.F.P. & Bordado, J.C.M., 2010. "Assessment of the impact of the European CO2 emissions trading scheme on the Portuguese chemical industry," Energy Policy, Elsevier, vol. 38(1), pages 626-632, January.
- Usha Rao, K. & Kishore, V.V.N., 2009. "Wind power technology diffusion analysis in selected states of India," Renewable Energy, Elsevier, vol. 34(4), pages 983-988.
- Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886.
- Puliafito, Salvador Enrique & Puliafito, José Luis & Grand, Mariana Conte, 2008.
"Modeling population dynamics and economic growth as competing species: An application to CO2 global emissions,"
Ecological Economics, Elsevier, vol. 65(3), pages 602-615, April.
- Salvador E. Puliafito & José L. Puliafito & Mariana Conte Grand, 2006. "Modeling population dynamics and economic growth as competing species: An application to CO2 global emissions," CEMA Working Papers: Serie Documentos de Trabajo. 334, Universidad del CEMA.
- Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012.
"An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China,"
Applied Energy, Elsevier, vol. 100(C), pages 277-284.
- Zhaohua Wang & Fangchao Yin & Yixiang Zhang & Xian Zhang, 2011. "An empirical research on the influencing factors of regional CO2 emission: Evidence from Beijing city, China," CEEP-BIT Working Papers 28, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Bardi, Ugo & Lavacchi, Alessandro & Yaxley, Leigh, 2011. "Modelling EROEI and net energy in the exploitation of non renewable resources," Ecological Modelling, Elsevier, vol. 223(1), pages 54-58.
- Kumar, Ujjwal & Jain, V.K., 2010. "Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India," Energy, Elsevier, vol. 35(4), pages 1709-1716.
- Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio & Minea, Alina A., 2010. "Analysis and forecasting of nonresidential electricity consumption in Romania," Applied Energy, Elsevier, vol. 87(11), pages 3584-3590, November.
- James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 1-10, National Bureau of Economic Research, Inc.
- Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
- Raugei, Marco & Bargigli, Silvia & Ulgiati, Sergio, 2007. "Life cycle assessment and energy pay-back time of advanced photovoltaic modules: CdTe and CIS compared to poly-Si," Energy, Elsevier, vol. 32(8), pages 1310-1318.
- Bilgili, Faik, 2012. "The impact of biomass consumption on CO2 emissions: Cointegration analyses with regime shifts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5349-5354.
- Jeremy D. Shakun & Peter U. Clark & Feng He & Shaun A. Marcott & Alan C. Mix & Zhengyu Liu & Bette Otto-Bliesner & Andreas Schmittner & Edouard Bard, 2012. "Global warming preceded by increasing carbon dioxide concentrations during the last deglaciation," Nature, Nature, vol. 484(7392), pages 49-54, April.
- Bi-Huei Tsai & Yiming Li, 2011. "Modelling competition in global LCD TV industry," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2969-2981.
- Saab, Samer & Badr, Elie & Nasr, George, 2001. "Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon," Energy, Elsevier, vol. 26(1), pages 1-14.
- Cordes, Christian & Schwesinger, Georg, 2014. "Technological diffusion and preference learning in the world of Homo sustinens: The challenges for politics," Ecological Economics, Elsevier, vol. 97(C), pages 191-200.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Neto, Abel F.G. & Marques, Francisco C. & Amador, Adriana T. & Ferreira, Amanda D.S. & Neto, Antonio M.J.C., 2019. "DFT and canonical ensemble investigations on the thermodynamic properties of Syngas and natural gas/Syngas mixtures," Renewable Energy, Elsevier, vol. 130(C), pages 495-509.
- Alexandra Horobet & Oana Cristina Popovici & Emanuela Zlatea & Lucian Belascu & Dan Gabriel Dumitrescu & Stefania Cristina Curea, 2021. "Long-Run Dynamics of Gas Emissions, Economic Growth, and Low-Carbon Energy in the European Union: The Fostering Effect of FDI and Trade," Energies, MDPI, vol. 14(10), pages 1-30, May.
- Husam Rjoub & Tomiwa Sunday Adebayo & Dervis Kirikkaleli, 2023. "Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
- Maxwell Chukwudi Udeagha & Nicholas Ngepah, 2022. "Disaggregating the environmental effects of renewable and non-renewable energy consumption in South Africa: fresh evidence from the novel dynamic ARDL simulations approach," Economic Change and Restructuring, Springer, vol. 55(3), pages 1767-1814, August.
- Ruijun Liu & Hao Sun & Lu Zhang & Qianwei Zhuang & Lele Zhang & Xueyi Zhang & Ye Chen, 2018. "Low-Carbon Energy Planning: A Hybrid MCDM Method Combining DANP and VIKOR Approach," Energies, MDPI, vol. 11(12), pages 1-18, December.
- Tian, Lixin & Pan, Jianglai & Du, Ruijin & Li, Wenchao & Zhen, Zaili & Qibing, Gao, 2017. "The valuation of photovoltaic power generation under carbon market linkage based on real options," Applied Energy, Elsevier, vol. 201(C), pages 354-362.
- Song, Ke & Wang, Yimin & Ding, Yuhang & Xu, Hongjie & Mueller-Welt, Philip & Stuermlinger, Tobias & Bause, Katharina & Ehrmann, Christopher & Weinmann, Hannes W. & Schaefer, Jens & Fleischer, Juergen , 2022. "Assembly techniques for proton exchange membrane fuel cell stack: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
- Abbasi, Kashif Raza & Shahbaz, Muhammad & Zhang, Jinjun & Irfan, Muhammad & Alvarado, Rafael, 2022. "Analyze the environmental sustainability factors of China: The role of fossil fuel energy and renewable energy," Renewable Energy, Elsevier, vol. 187(C), pages 390-402.
- Najid Ahmad & Liangsheng Du & Xian-Liang Tian & Jianlin Wang, 2019. "Chinese growth and dilemmas: modelling energy consumption, CO2 emissions and growth in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 315-338, January.
- Chun Chih Chen, 2021. "The path to a 2025 nuclear-free Taiwan: An analysis of dynamic competition among emissions, energy, and economy," Energy & Environment, , vol. 32(4), pages 668-689, June.
- Focacci, Chiara Natalie, 2021. "Technological unemployment, robotisation, and green deal: A story of unstable spillovers in China and South Korea (2008–2018)," Technology in Society, Elsevier, vol. 64(C).
- Li, Xiaoyu & Yao, Xilong, 2020. "Can energy supply-side and demand-side policies for energy saving and emission reduction be synergistic?--- A simulated study on China's coal capacity cut and carbon tax," Energy Policy, Elsevier, vol. 138(C).
- Kazi Sirajul Islam & Saravanan Muthaiyah & David Yong Gun Fie, 2020. "Isomorphic Drivers of Institutional Pressure and Importance of Environmental Management System Implementation Towards The Adoption Propensity of Green ICT," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 624-634.
- Bi-Huei Tsai & Yao-Min Huang, 2023. "Comparing the Substitution of Nuclear Energy or Renewable Energy for Fossil Fuels between the United States and Africa," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
- Goran Dominioni & Alessandro Romano & Chiara Sotis, 2019. "A Quantitative Study of the Interactions between Oil Price and Renewable Energy Sources Stock Prices," Energies, MDPI, vol. 12(9), pages 1-11, May.
- Russell Tatenda Munodawafa & Satirenjit Kaur Johl, 2019. "Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies," Sustainability, MDPI, vol. 11(15), pages 1-21, August.
- Ahmad, Najid & Du, Liangsheng & Lu, Jiye & Wang, Jianlin & Li, Hong-Zhou & Hashmi, Muhammad Zaffar, 2017. "Modelling the CO2 emissions and economic growth in Croatia: Is there any environmental Kuznets curve?," Energy, Elsevier, vol. 123(C), pages 164-172.
- Dominioni, Goran & Romano, Alessandro & Sotis, Chiari, 2019. "A quantitative study of the interactions between oil price and renewable energy sources stock prices," LSE Research Online Documents on Economics 100548, London School of Economics and Political Science, LSE Library.
- Mohamed F. Abd El-Aal & Marwa Samir Hegazy & Abdelsamiea Tahsin Abdelsamiea, 2024. "Role of Economic Expansion, Energy Utilization and Urbanization on Climate Change in Egypt based on Artificial Intelligence," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 127-137, May.
- Bi-Huei Tsai, 2017. "Predicting the competitive relationships of industrial production between Taiwan and China using Lotka–Volterra model," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2428-2442, May.
- Dingxuan Huang & Claudio O. Delang & Yongjiao Wu & Shuliang Li, 2021. "An Improved Lotka–Volterra Model Using Quantum Game Theory," Mathematics, MDPI, vol. 9(18), pages 1-17, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
- Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
- Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
- Chris Birchenhall & Denise Osborn & Marianne Sensier, 2001.
"Predicting UK Business Cycle Regimes,"
Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 179-195, May.
- Chris Birchenhall & Marianne Sensier, 2000. "Predicting UK Business Cycle Regimes," Econometric Society World Congress 2000 Contributed Papers 0953, Econometric Society.
- Chris R. Birchenhall & Marianne Sensier & Denise R. Osborn, 2000. "Predicting Uk Business Cycle Regimes," Computing in Economics and Finance 2000 134, Society for Computational Economics.
- C R Birchenhall & D R Osborn & M Sensier, 2000. "Predicting UK Business Cycle Regimes," Centre for Growth and Business Cycle Research Discussion Paper Series 02, Economics, The University of Manchester.
- Lars-Erik Öller & Lasse Koskinen, 2004.
"A classifying procedure for signalling turning points,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 197-214.
- Koskinen, Lasse & Öller, Lars-Erik, 2001. "A Classifying Procedure for Signaling Turning Points," SSE/EFI Working Paper Series in Economics and Finance 427, Stockholm School of Economics.
- Suat Ozturk & Feride Ozturk, 2018. "Forecasting Energy Consumption of Turkey by Arima Model," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 8(2), pages 52-60, February.
- Terence C. Mills & Ping Wang, 2003. "Multivariate Markov Switching Common Factor Models for the UK," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 177-193, April.
- E. Philip Howrey, 2001. "The Predictive Power of the Index of Consumer Sentiment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 175-216.
- DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018.
"Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis,"
Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
- David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," Tinbergen Institute Discussion Papers 13-072/III, Tinbergen Institute.
- David E Allen & Michael McAleer & Robert J Powell & Abhay K Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," KIER Working Papers 866, Kyoto University, Institute of Economic Research.
- David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," Documentos de Trabajo del ICAE 2013-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Catherine Doz & Peter Fuleky, 2019.
"Dynamic Factor Models,"
Working Papers
2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
- Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint) halshs-02491811, HAL.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
- Catherine Doz & Peter Fuleky, 2020. "Dynamic Factor Models," Post-Print halshs-02491811, HAL.
- Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
- Kajal Lahiri & Cheng Yang, 2023.
"ROC and PRC Approaches to Evaluate Recession Forecasts,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 119-148, September.
- Kajal Lahiri & Cheng Yang, 2023. "ROC and PRC Approaches to Evaluate Recession Forecasts," CESifo Working Paper Series 10449, CESifo.
- Guerron-Quintana, Pablo A., 2013.
"Common and idiosyncratic disturbances in developed small open economies,"
Journal of International Economics, Elsevier, vol. 90(1), pages 33-49.
- Pablo Guerrón-Quintana, 2012. "Common and idiosyncratic disturbances in developed small open economies," Working Papers 12-3, Federal Reserve Bank of Philadelphia.
- Gerson Javier Pérez-Valbuena & Diana Ricciulli-Marín & Jaime Bonet-Morón & Paula Barrios, 2021.
"Reglas fiscales subnacionales en Colombia: desde su concepción hasta los resultados frente al COVID-19,"
Documentos de Trabajo Sobre Economía Regional y Urbana
19126, Banco de la República, Economía Regional.
- Gerson Javier Pérez-Valbuena & Diana Ricciulli-Marín & Jaime Bonet-Morón & Paula Barrios, 2021. "Reglas fiscales subnacionales en Colombia: desde su concepción hasta los resultados frente al COVID-19," Documentos de trabajo sobre Economía Regional y Urbana 297, Banco de la Republica de Colombia.
- Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng, 2016. "Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model," Energy, Elsevier, vol. 100(C), pages 384-390.
- Marjan Petreski & Blagica Petreski, 2014. "Leading composite index produced by Finance Think: Forecasting power reassessed," Finance Think Policy Studies 2014-12, Finance Think - Economic Research and Policy Institute.
- Christopher L. Gilbert & Duo Qin, 2007. "Representation in Econometrics: A Historical Perspective," Working Papers 583, Queen Mary University of London, School of Economics and Finance.
- Marfatia Hardik A., 2021. "Modeling House Price Synchronization across the U.S. States and their Time-Varying Macroeconomic Linkages," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 73-117, January.
- Krzysztof Beck & Karen Jackson, 2024. "International trade fluctuations: Global versus regional factors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 331-358, February.
- Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
- Nataša Erjavec & Petar Soriæ & Mirjana Èižmešija, 2016. "Predicting the probability of recession in Croatia: Is economic sentiment the missing link?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(2), pages 555-579.
More about this item
Keywords
Energy consumption; Low-carbon energy; Fossil fuels; CO2 emissions; Lotka–Volterra model;All these keywords.
JEL classification:
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:100:y:2016:i:c:p:416-424. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.