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Conditional capital surplus and shortfall across renewable and non-renewable resource firms

Author

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  • Denny Irawan
  • Tatsuyoshi Okimoto

Abstract

This study examines the conditional capital surplus and shortfall dynamics of renewable and non-renewable resource firms. To this end, this study uses the systemic risk index by Brownlees and Engle (2017) and considers two conditional systemic events, namely, the stock market crash and the commodity price crash. The results indicate that generally, companies in the resource sector tend to have conditional capital shortfall before 2000 and conditional capital surplus after 2000 owing to the boom of the commodity sector stock and the moderate-to-careful capital structure management adopted by these companies. This finding is especially valid for resource firms from developed countries, whose observations dominate the dataset used in this study. Furthermore, the analysis using the panel vector autoregressive model indicates a positive influence of commodity price, geopolitical, and economic policy uncertainties on the conditional capital shortfall. These uncertainties have also been proven to increase the conditional failure probability of firms in the sample. Lastly, the performance analysis shows that potential capital shortfall is positively related to market return, reflecting a high-risk high-return trade-off for this sector.

Suggested Citation

  • Denny Irawan & Tatsuyoshi Okimoto, 2021. "Conditional capital surplus and shortfall across renewable and non-renewable resource firms," CAMA Working Papers 2021-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2021-74
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    File URL: https://crawford.anu.edu.au/sites/default/files/2025-08/74_2021_Irawan_Okimoto%280%29.pdf
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    2. Fan Bie & Yixin Xiong & Liequan Zhou & Yunni Li & Xiao Pei, 2023. "Role of credit subsidies and financial intermediation in China and Japan: implications for green economic growth," Economic Change and Restructuring, Springer, vol. 56(3), pages 1925-1941, June.
    3. Yuan, Shengyun & Li, Changhao & Wang, Mingyang & Wu, Hao & Chang, Lei, 2023. "A way toward green economic growth: Role of energy efficiency and fiscal incentive in China," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 599-609.
    4. Oana Panazan & Catalin Gheorghe, 2024. "Impact of Geopolitical Risk on G7 Financial Markets: A Comparative Wavelet Analysis between 2014 and 2022," Mathematics, MDPI, vol. 12(3), pages 1-22, January.
    5. Zhang, Shuzhi & Xie, Guangxiong, 2023. "Promoting green investment for renewable energy sources in China: Case study from autoregressive distributed Lagged in error correction approach," Renewable Energy, Elsevier, vol. 214(C), pages 359-368.
    6. Ma, Cong & Cheok, Mui Yee & Chok, Nyen Vui, 2023. "Economic recovery through multisector management resources in small and medium businesses in China," Resources Policy, Elsevier, vol. 80(C).
    7. Wang, Lin & Dilanchiev, Azer & Haseeb, Mohammad, 2022. "The environmental regulation and policy assessment effect on the road to green recovery transformation," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 914-929.
    8. Wang, Yunxian & Wang, Xin & Zhang, Zheng & Cui, Zhanmin & Zhang, Yuan, 2023. "Role of fiscal and monetary policies for economic recovery in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 51-63.

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    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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