IDEAS home Printed from https://ideas.repec.org/a/aob/journl/y2024i2specialp63-64.html
   My bibliography  Save this article

Государственная поддержка в продвижении зеленых облигаций в Азии: эмпирические данные // Policy support in promoting green bonds in Asia: empirical evidence

Author

Listed:
  • Ажгалиева Д. // Azhgaliyeva D.

    (Asian Development Bank Institute)

  • Капсалямова З. // Kapsalyamova Z.

    (Nazarbayev University,School of Sciences and Humanities)

Abstract

Многие экономики, особенно в Азии, реализуют различные политики для стимулирования выпуска корпоративных «зеленых» облигаций. Однако эмпирические данные об эффективности политики «зеленых» облигаций отсутствуют. В этом исследовании изучается влияние широкого спектра политик «зеленых» облигаций на выпуск корпоративных «зеленых» облигаций в 56 экономиках, выпускающих «зеленые» облигации, включая 11 экономик в Азии, с января 2010 года по июнь 2020 года. Используя спецификацию «разница в разнице» в многоуровневой пробит-модели, исследование показывает, что следующие политики увеличивают вероятность выпуска «зеленых» облигаций корпорациями: (i) политика, которая снижает стоимость выпуска «зеленых» облигаций, такая как гранты на «зеленые» облигации и налоговые льготы (такая политика особенно популярна в Азии); (ii) политика координации, такая как создание институтов «зеленых» облигаций или «зеленого» финансирования, комитетов, групп, а также другие политические сигналы, такие как национальные обязательства и целевые ориентиры; (iii) глобальное международное сотрудничество и международная стандартизация. // Many economies, especially in Asia, implement different policies to incentivize the issuance of corporate green bonds. However, there is a lack of empirical evidence on the effectiveness of green bond policies. This study examines the impact of a broad range of green bond policies on the issuance of corporate green bonds in 56 green-bond-issuing economies, including 11 economies in Asia, from January 2010 to June 2020. Using the difference-in-difference specification within the multilevel probit model, the study shows that the following policies increase the probability of issuance of green bonds by corporates: (i) policies that reduce the cost of green bond issuance, such as green bond grants and tax incentives (such policies are particularly popular in Asia); (ii) coordination policies such as the establishment of green bond or green finance institutions, committees, groups, as well as other policy signals such as national commitments and targets; and (iii) global international cooperation and international standardization.

Suggested Citation

  • Ажгалиева Д. // Azhgaliyeva D. & Капсалямова З. // Kapsalyamova Z., 2024. "Государственная поддержка в продвижении зеленых облигаций в Азии: эмпирические данные // Policy support in promoting green bonds in Asia: empirical evidence," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 63-64.
  • Handle: RePEc:aob:journl:y:2024:i:2special:p:63-64
    as

    Download full text from publisher

    File URL: https://nationalbank.kz/file/download/102493
    File Function: English language version
    Download Restriction: no

    File URL: https://nationalbank.kz/file/download/102492
    File Function: Russian language version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    2. Martínez, Juan Francisco & Oda, Daniel, 2021. "Characterization of the Chilean financial cycle, early warning indicators and implications for macro-prudential policies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
    3. Gambacorta, Leonardo & Shin, Hyun Song, 2018. "Why bank capital matters for monetary policy," Journal of Financial Intermediation, Elsevier, vol. 35(PB), pages 17-29.
    4. Atif Mian & Amir Sufi & Emil Verner, 2017. "Household Debt and Business Cycles Worldwide," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1755-1817.
    5. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
    6. Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring financial cycles with a model-based filter: Empirical evidence for the United States and the euro area," DNB Working Papers 495, Netherlands Central Bank, Research Department.
    7. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    8. Saibal Ghosh, 2008. "Capital requirements, bank behavior and monetary policy: A theoretical analysis with an empirical application to India," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 43(2), pages 205-227, December.
    9. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    10. Nachane, Dilip & Ghosh, Saibal & Ray, Partha, 2006. "Basel II and bank lending behavior: some likely implications for monetary policy," MPRA Paper 3841, University Library of Munich, Germany.
    11. Bedayo, Mikel & Estrada, Ángel & Saurina, Jesús, 2020. "Bank capital, lending booms, and busts: Evidence from Spain over the last 150 years," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    12. Ekinci, Mehmet Fatih & Omay, Tolga, 2020. "Current account and credit growth: The role of household credit and financial depth," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    13. Jorge E. Galán & Javier Mencía, 2018. "Empirical assessment of alternative structural methods for identifying cyclical systemic risk in Europe," Working Papers 1825, Banco de España.
    14. Galati, Gabriele & Hindrayanto, Irma & Koopman, Siem Jan & Vlekke, Marente, 2016. "Measuring financial cycles in a model-based analysis: Empirical evidence for the United States and the euro area," Economics Letters, Elsevier, vol. 145(C), pages 83-87.
    15. Koong, Seow Shin & Law, Siong Hook & Ibrahim, Mansor H., 2017. "Credit expansion and financial stability in Malaysia," Economic Modelling, Elsevier, vol. 61(C), pages 339-350.
    16. Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
    17. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    18. Gavalas, Dimitris, 2015. "How do banks perform under Basel III? Tracing lending rates and loan quantity," Journal of Economics and Business, Elsevier, vol. 81(C), pages 21-37.
    19. Nachane, Dilip & Ghosh, Saibal & Ray, Partha, 2006. "Basel II and bank lending behavior: Some likely implications for monetary policy in India," MPRA Paper 3840, University Library of Munich, Germany.
    20. David Aikman & Andrew G. Haldane & Benjamin D. Nelson, 2015. "Curbing the Credit Cycle," Economic Journal, Royal Economic Society, vol. 125(585), pages 1072-1109, June.
    21. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    Full references (including those not matched with items on IDEAS)

    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. Яндиев М. // Yandiyev М., 2024. "Феномен недооценки при первичном размещении акций объясняется алчностью финансовых спекулянтов // The Phenomenon of Underpricing during Initial Public Offering is Explained by the Greed of Financial S," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 65-85.
    2. Абилов Н. // Abilov N., 2024. "Риск действительно имеет значение: шоки неопределенности в условиях малой экономики страны – экспортера нефти // Risk indeed matters: uncertainty shocks in a small oil-exporting economy," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 7-23.
    3. Татибеков Б. // Tatibekov B. & Абдразакова А. // Abdrazakova А., 2024. "Особенности взаимосвязи рынка труда и инфляционных процессов в экономике Казахстана в период 2001-2021 гг.: теория и практика реализации // Specifics of Relationship between the Labor Market and Infla," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 60-61.
    4. Ыбраев Ж. // Ybrayev Zh., 2024. "Макроэкономическая активность и контр-циклический буфер капитала в Казахстане // Macroeconomic Activity and Countercyclical Capital Buffer in Kazakhstan," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 92-100.
    5. Рысбаева Ә. Б. // Rysbayeva A.B. & Ханет А. Б. // Khanet А. B., 2024. "Фискальные мультипликаторы в Казахстане // Fiscal Multipliers in Kazakhstan," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 24-44.
    6. Алдашев А. // Aldashev А. & Баткеев Б. // Batkeyev В., 2024. "Задолженность домохозяйств, гетерогенность и финансовая стабильность на примере Казахстана // Household debt, heterogeneity and financial stability: Evidence from Kazakhstan," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 90-91.
    7. Адилханова З. // Adilkhanova Z., 2024. "Влияние жесткости заработных плат на инфляцию в рамках трансмиссионного механизма монетарной политики // Impact of Wage Rigidity on Inflation within the Framework of Monetary Policy Transmission Mecha," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 45-59.
    8. Еселева-Пионка М. // Esseleva-Pionka М. & Кенжегаранова М. // Kenzhegaranova М. & Азимбекова А. // Azimbekova А. & Кусниева А. // Kusniyeva А. & Байбекова А. // Baibekova А., 2024. "Противодействие финансовым мошенничествам, в частности пирамидам, интернет и телефонным мошенничествам // Combating Fnancial Fraud, in Particular Pyramid, Internet and Telephone Fraud," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 86-89.
    9. Jorge E. Galán, 2019. "Measuring credit-to-gdp gaps. The hodrick-prescott filter revisited," Occasional Papers 1906, Banco de España.
    10. Jorge E. Galán & Javier Mencía, 2018. "Empirical assessment of alternative structural methods for identifying cyclical systemic risk in Europe," Working Papers 1825, Banco de España.
    11. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
    12. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    13. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    14. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    15. Terhi Jokipii & Reto Nyffeler & Stéphane Riederer, 2021. "Exploring BIS credit-to-GDP gap critiques: the Swiss case," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-19, December.
    16. Aldasoro, Iñaki & Borio, Claudio & Drehmann, Mathias, 2018. "Early warning indicators of banking crises: expanding the family," Journal of Financial Transformation, Capco Institute, vol. 48, pages 142-155.
    17. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2019. "Characterizing the financial cycle: Evidence from a frequency domain analysis," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 568-591.
    18. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    19. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    20. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.

    More about this item

    Keywords

    сorporate green bonds; green finance policy support; Asia green bond grant; ASEAN; корпоративные «зеленые» облигации; государственная поддержка «зеленого» финансирования; грант на азиатские «зеленые» облигации;
    All these keywords.

    JEL classification:

    • F64 - International Economics - - Economic Impacts of Globalization - - - Environment
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

    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:aob:journl:y:2024:i:2special:p:63-64. 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: Saida Agambayeva (email available below). General contact details of provider: https://edirc.repec.org/data/nbkgvkz.html .

    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.