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Modeling Latent Carbon Emission Prices for Japan: Theory and Practice

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  • Chia-Lin Chang

    (Department of Applied Economics, Department of Finance, National Chung Hsing University, Taichung 402, Taiwan
    Department of Finance, Asia University, Taichung 41354, Taiwan)

  • Michael McAleer

    (Department of Finance, Asia University, Taichung 41354, Taiwan
    Discipline of Business Analytics, University of Sydney Business School, Sydney 2006, Australia
    Econometric Institute, Erasmus School of Economics Erasmus, University Rotterdam, 3062 PA Rotterdam, The Netherlands
    Department of Economic Analysis and ICAE Complutense, University of Madrid, 28040 Madrid, Spain)

Abstract

Climate change and global warming are significantly affected by carbon emissions that arise from the burning of fossil fuels, specifically coal, oil, and gas. Accurate prices are essential for the purposes of measuring, capturing, storing, and trading in carbon emissions at regional, national, and international levels, especially as carbon emissions can be taxed appropriately when the price is known and widely accepted. This paper uses a novel Capital (K), Labor (L), Energy (E) and Materials (M) (or KLEM) production function approach to calculate the latent carbon emission prices, where carbon emission is the output and capital (K), labor (L), energy (E) (or electricity), and materials (M) are the inputs for the production process. The variables K, L, and M are essentially fixed on a daily or monthly basis, whereas E can be changed more frequently, such as daily or monthly, so that changes in carbon emissions depend on changes in E. If prices are assumed to depend on the average cost pricing, the prices of carbon emissions and energy may be approximated by an energy production model with a constant factor of proportionality, so that carbon emission prices are a function of energy prices. Using this novel modeling approach, this paper estimates the carbon emission prices for Japan using seasonally adjusted and unadjusted monthly data on the volumes of carbon emissions and energy, as well as energy prices, from December 2008 to April 2018. The econometric models show that, as sources of electricity, the logarithms of coal and oil, though not Liquefied Natural Gas (LNG,) are statistically significant in explaining the logarithm of carbon emissions, with oil being more significant than coal. The models generally displayed a high power in predicting the latent prices of carbon emissions. The usefulness of the empirical findings suggest that the methodology can also be applied for other countries where carbon emission prices are latent.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4222-:d:283913
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    References listed on IDEAS

    as
    1. David E. Allen & Michael McAleer, 2018. "Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 625-629, October.
    2. Chang, Ching-Chih, 2010. "A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 87(11), pages 3533-3537, November.
    3. Chia-Lin Chang & Michael Mcaleer, 2014. "Just How Good Are The Top Three Journals In Finance? An Assessment Based On Quantity And Quality Citations," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-31.
    4. Ralf Martin & Mirabelle Muûls & Ulrich J. Wagner, 2016. "The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(1), pages 129-148.
    5. Chang Chia-Lin & McAleer Michael, 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Review of Economics, De Gruyter, vol. 65(1), pages 35-52, April.
    6. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 30(6), pages 583-619.
    7. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2016. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 50-97, January.
    8. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    9. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    10. Chang, Chia-Lin & McAleer, Michael, 2019. "The fiction of full BEKK: Pricing fossil fuels and carbon emissions," Finance Research Letters, Elsevier, vol. 28(C), pages 11-19.
    11. James B. Bushnell & Howard Chong & Erin T. Mansur, 2013. "Profiting from Regulation: Evidence from the European Carbon Market," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 78-106, November.
    12. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals Based on the Thomson Reuters Citations Database," Journal of Reviews on Global Economics, Lifescience Global, vol. 4, pages 120-125.
    13. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    14. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "What makes a great journal great in the sciences? Which came first, the chicken or the egg?," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 17-40, April.
    15. Chang, Chia-Lin & McAleer, Michael & Oxley, Les, 2013. "Coercive journal self citations, impact factor, Journal Influence and Article Influence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 190-197.
    16. Chia-Lin Chang & Michael McAleer, 2014. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environmental and Resource Economics," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 33-47.
    17. Nam, Kyung-Min & Waugh, Caleb J. & Paltsev, Sergey & Reilly, John M. & Karplus, Valerie J., 2014. "Synergy between pollution and carbon emissions control: Comparing China and the United States," Energy Economics, Elsevier, vol. 46(C), pages 186-201.
    18. McAleer, Michael & McKenzie, C. R., 1992. "Recursive estimation and generated regressors," Economics Letters, Elsevier, vol. 39(1), pages 1-5, May.
    19. Chia-Lin Chang & Michael McAleer, 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometrics, MDPI, vol. 1(3), pages 1-19, November.
    20. Steffen Hitzemann & Marliese Uhrig-Homburg, 2019. "Empirical performance of reduced-form models for emission permit prices," Review of Derivatives Research, Springer, vol. 22(3), pages 389-418, October.
    21. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    22. McKenzie, C R & McAleer, Michael, 1994. "On the Effects of Misspecification Errors in Models with Generated Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(4), pages 441-455, November.
    23. Xiong, Ling & Shen, Bo & Qi, Shaozhou & Price, Lynn & Ye, Bin, 2017. "The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California," Applied Energy, Elsevier, vol. 185(P2), pages 1849-1859.
    24. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    25. Colin McKenzie & Michael McAleer, 1997. "On Efficient Estimation and Correct Inference in Models with Generated Regressors: a General Approach," The Japanese Economic Review, Japanese Economic Association, vol. 48(4), pages 368-389, December.
    26. Chia‐Lin Chang & Michael McAleer & Les Oxley, 2011. "What Makes A Great Journal Great In Economics? The Singer Not The Song," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 326-361, April.
    27. Chia-Lin Chang & Te-Ke Mai & Michael Mcaleer, 2018. "Pricing Carbon Emissions In China," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-37, September.
    28. Allen, D.E. & McAleer, M.J., 2018. "Fake News and Indifference to Scientific Fact," Econometric Institute Research Papers TI 2018-054/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Chang, Chia-Lin & Mai, Te-Ke & McAleer, Michael, 2019. "Establishing national carbon emission prices for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 1-16.
    30. Zhang, Da & Karplus, Valerie J. & Cassisa, Cyril & Zhang, Xiliang, 2014. "Emissions trading in China: Progress and prospects," Energy Policy, Elsevier, vol. 75(C), pages 9-16.
    31. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "How are journal impact, prestige and article influence related? An application to neuroscience," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2563-2573, January.
    32. Fiebig, Denzil G. & McAleer, Michael & Bartels, Robert, 1992. "Properties of ordinary least squares estimators in regression models with nonspherical disturbances," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 321-334.
    33. Chen, Wenying, 2005. "The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling," Energy Policy, Elsevier, vol. 33(7), pages 885-896, May.
    34. Hitzemann, Steffen & Uhrig-Homburg, Marliese & Ehrhart, Karl-Martin, 2015. "Emission permits and the announcement of realized emissions: Price impact, trading volume, and volatilities," Energy Economics, Elsevier, vol. 51(C), pages 560-569.
    35. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    36. Kim, Jungmu & Park, Yuen Jung & Ryu, Doojin, 2017. "Stochastic volatility of the futures prices of emission allowances: A Bayesian approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 714-724.
    37. repec:bla:ecorec:v:68:y:1992:i:200:p:65-72 is not listed on IDEAS
    38. Lecca, Patrizio & Swales, Kim & Turner, Karen, 2011. "An investigation of issues relating to where energy should enter the production function," Economic Modelling, Elsevier, vol. 28(6), pages 2832-2841.
    39. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
    40. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    41. Daskalakis, George & Markellos, Raphael N., 2009. "Are electricity risk premia affected by emission allowance prices? Evidence from the EEX, Nord Pool and Powernext," Energy Policy, Elsevier, vol. 37(7), pages 2594-2604, July.
    42. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    43. Yongsheng Zhang, 2015. "Reformulating the low-carbon green growth strategy in China," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 40-59, December.
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