IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v56y2023ics1544612323005378.html
   My bibliography  Save this article

Climate change and Japanese economic policy uncertainty: Asymmetric analysis

Author

Listed:
  • Zhang, Jiaming
  • Zou, Yang
  • Xiang, Yitian
  • Guo, Songlin

Abstract

Japan has always formulated various corresponding policies in response to climate change. This paper explores the asymmetric impact of climate change on Japan's economic policy uncertainty (JEPU) by comparing text-based indicators (climate policy uncertainty, CPU) and physical indicators (El Niño Southern Oscillation, ENSO). The asymmetric Granger test finds that CPU has no significant impact on JEPU. However, positive ENSO shocks can lead to an increase in JEPU. Different ENSO shocks may differently drive JEPU in all runs. Thus, this kind of text-based indicator may not be appropriate when exploring the impact of climate change on Japanese economic policy.

Suggested Citation

  • Zhang, Jiaming & Zou, Yang & Xiang, Yitian & Guo, Songlin, 2023. "Climate change and Japanese economic policy uncertainty: Asymmetric analysis," Finance Research Letters, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323005378
    DOI: 10.1016/j.frl.2023.104165
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323005378
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104165?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Syed Jawad Hussain Shahzad & Elie Bouri & Naveed Raza & David Roubaud, 2019. "Asymmetric impacts of disaggregated oil price shocks on uncertainties and investor sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 52(3), pages 901-921, April.
    2. Bhattacharya, J. & DeLeire, T. & Haider, S. & Currie, J., 2003. "Heat or Eat? Cold-Weather Shocks and Nutrition in Poor American Families," American Journal of Public Health, American Public Health Association, vol. 93(7), pages 1149-1154.
    3. Emmanuel Anoruo, 2019. "Asymmetric Causality Analysis of the Interactions Between Gold and REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 22(4), pages 513-534.
    4. Hong, Yanran & Xu, Pengfei & Wang, Lu & Pan, Zhigang, 2022. "Relationship between the news-based categorical economic policy uncertainty and US GDP: A mixed-frequency Granger-causality analysis," Finance Research Letters, Elsevier, vol. 48(C).
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. repec:eme:cfripp:cfri-02-2020-0013 is not listed on IDEAS
    7. Kuramochi, Takeshi, 2015. "Review of energy and climate policy developments in Japan before and after Fukushima," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1320-1332.
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    10. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    11. Abdulnasser Hatemi-J, 2012. "Asymmetric causality tests with an application," Empirical Economics, Springer, vol. 43(1), pages 447-456, August.
    12. Chao Liang & Feng Ma & Lu Wang & Qing Zeng, 2021. "The information content of uncertainty indices for natural gas futures volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1310-1324, November.
    13. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
    14. William D. Nordhaus, 1993. "Reflections on the Economics of Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 7(4), pages 11-25, Fall.
    15. Bahmani-Oskooee, Mohsen & Chang, Tsangyao & Ranjbar, Omid, 2016. "Asymmetric causality using frequency domain and time-frequency domain (wavelet) approaches," Economic Modelling, Elsevier, vol. 56(C), pages 66-78.
    16. Guo, Xiaozhu & Huang, Dengshi & Li, Xiafei & Liang, Chao, 2023. "Are categorical EPU indices predictable for carbon futures volatility? Evidence from the machine learning method," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 672-693.
    17. Su, Yuandong & Liang, Chao & Zhang, Li & Zeng, Qing, 2022. "Uncover the response of the U.S grain commodity market on El Niño–Southern Oscillation," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 98-112.
    18. Hyein Shim & Hyeyoen Kim & Junyeup Kim & Doojin Ryu, 2015. "Weather and stock market volatility: the case of a leading emerging market," Applied Economics Letters, Taylor & Francis Journals, vol. 22(12), pages 987-992, August.
    19. Phan, Dinh Hoang Bach & Iyke, Bernard Njindan & Sharma, Susan Sunila & Affandi, Yoga, 2021. "Economic policy uncertainty and financial stability–Is there a relation?," Economic Modelling, Elsevier, vol. 94(C), pages 1018-1029.
    20. Tatyana Deryugina, 2013. "How do people update? The effects of local weather fluctuations on beliefs about global warming," Climatic Change, Springer, vol. 118(2), pages 397-416, May.
    21. V. Mueller & C. Gray & K. Kosec, 2014. "Heat stress increases long-term human migration in rural Pakistan," Nature Climate Change, Nature, vol. 4(3), pages 182-185, March.
    22. Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    23. Ren, Xiaohang & Zhang, Xiao & Yan, Cheng & Gozgor, Giray, 2022. "Climate policy uncertainty and firm-level total factor productivity: Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    24. Song, Yuegang & Zhang, Bicheng & Wang, Jianhua & Kwek, Keh, 2022. "The impact of climate change on China's agricultural green total factor productivity," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sun, Yanpeng & Song, Yuru & Long, Chi & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "How to improve global environmental governance? Lessons learned from climate risk and climate policy uncertainty," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1666-1676.
    2. Dong, Xiaotian & Wang, Kai-Hua & Tao, Ran & Sorana, Vătavu & Moldovan, Nicoleta-Claudia, 2024. "Is there a relationship between climate policy uncertainty and green finance? Evidence from bootstrap rolling window test," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 277-289.
    3. Tedeschi, Marco & Foglia, Matteo & Bouri, Elie & Dai, Peng-Fei, 2024. "How does climate policy uncertainty affect financial markets? Evidence from Europe," Economics Letters, Elsevier, vol. 234(C).
    4. Wang, Yu & Cheung, Adrian (Wai Kong) & Yan, Wanlin & Wang, Bin, 2024. "Green bond and green stock in China: The role of economic and climate policy uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).

    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.
    1. Xie, Yutang & Cao, Yujia & Li, Xiaotao, 2023. "The importance of trade policy uncertainty to energy consumption in a changing world," Finance Research Letters, Elsevier, vol. 52(C).
    2. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).
    3. Song, Yanwu & Wang, Can & Wang, Zhaohua, 2023. "Climate risk, institutional quality, and total factor productivity," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    4. Liu, Guangqiang & Luo, Keyu & Xu, Pengfei & Zhang, Simeng, 2023. "Climate policy uncertainty and its impact on major grain futures," Finance Research Letters, Elsevier, vol. 58(PB).
    5. Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
    6. Liu, Guangqiang & Zeng, Qing & Lei, Juan, 2022. "Dynamic risks from climate policy uncertainty: A case study for the natural gas market," Resources Policy, Elsevier, vol. 79(C).
    7. Hong, Yanran & Cao, Shijiao & Xu, Pengfei & Pan, Zhigang, 2024. "Interpreting the effect of global economic risks on crude oil market: A supply-demand perspective," International Review of Financial Analysis, Elsevier, vol. 91(C).
    8. Zhang, Zhihao, 2023. "Are climate risks helpful for understanding inflation in BRICS countries?," Finance Research Letters, Elsevier, vol. 58(PB).
    9. Ongsakul, Viput & Papangkorn, Suwongrat & Jiraporn, Pornsit, 2023. "Estimating the effect of climate change exposure on firm value using climate policy uncertainty: A text-based approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 40(C).
    10. Li, Zepei & Huang, Haizhen, 2023. "Challenges for volatility forecasts of US fossil energy spot markets during the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 31-45.
    11. Huo, Dongxia & Bagadeem, Salim & Elsherazy, Tarek Abbas & Nasnodkar, Siddhesh Prabhu & Kalra, Akash, 2023. "Renewable energy consumption and the rising effect of climate policy uncertainty: Fresh policy analysis from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1459-1474.
    12. Guo, Kun & Kang, Yuxin & Ma, Dandan & Lei, Lei, 2024. "How do climate risks impact the contagion in China's energy market?," Energy Economics, Elsevier, vol. 133(C).
    13. Jin, Daxiang & Yu, Jize, 2023. "Predicting cryptocurrency market volatility: Novel evidence from climate policy uncertainty," Finance Research Letters, Elsevier, vol. 58(PC).
    14. Koray Yıldırım & Neşe Algan & Harun Bal, 2024. "Investment Hysteresis: An Empirical Essay Turkish Case," Evaluation Review, , vol. 48(1), pages 143-176, February.
    15. Hossain, Mohammad Razib & Rao, Amar & Sharma, Gagan Deep & Dev, Dhairya & Kharbanda, Aeshna, 2024. "Empowering energy transition: Green innovation, digital finance, and the path to sustainable prosperity through green finance initiatives," Energy Economics, Elsevier, vol. 136(C).
    16. Lijuan Peng & Zhenglan Xia & Yisu Huang & Zhigang Pan, 2023. "Role of weather in the natural gas market: Insights from the STL‐GARCH‐W method," International Finance, Wiley Blackwell, vol. 26(3), pages 304-323, December.
    17. Liu, Xiaoqin & Wojewodzki, Michal & Cai, Yifei & Sharma, Satish, 2023. "The dynamic relationships between carbon prices and policy uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    18. Hunjra, Ahmed Imran & Bagh, Tanveer & Palma, Alessia & Goodell, John W., 2024. "Is enterprise risk-taking less sensitive to financial flexibility post COVID-19? Evidence from non-linear patterns," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    19. Zhang, Jiahao & Zhang, Yifeng & Wei, Yu & Wang, Zhuo, 2024. "Normal and extreme impact and connectedness between fossil energy futures markets and uncertainties: Does El Niño-Southern Oscillation matter?," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 188-215.
    20. Shen, Lihua & Hong, Yanran, 2023. "Can geopolitical risks excite Germany economic policy uncertainty: Rethinking in the context of the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 51(C).

    More about this item

    Keywords

    Climate policy uncertainty; El Niño-southern oscillation; Japanese economic policy uncertainty; Asymmetric Granger-causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    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:finlet:v:56:y:2023:i:c:s1544612323005378. 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.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.