IDEAS home Printed from https://ideas.repec.org/a/idn/journl/v27y2024i3cp435-458.html
   My bibliography  Save this article

Changing Contours Of Policy Communications In India

Author

Listed:
  • Abhishek Ranjan

    (Reserve Bank of India, India)

  • Siddhartha Nath

    (Reserve Bank of India, India)

Abstract

Using the keyword frequencies in the headlines of press releases issued by the Ministry of Commerce and Industry Government of India, this article quantifies the shifting focus of India’s public policy communications. Our analysis suggests that, in the aftermath of the 2008–09 Global Financial Crisis, India’s public policy communications shifted from international trade to innovation and competitiveness, while the emphasis on large infrastructure development, employment, investment, and policy incentives remained. A similar analysis using newspaper headlines from India’s three leading newspapers and Google search intensity using Google Trends broadly suggest similar trends. However, media articles about innovations and competitiveness displayed growth trends about three years before there was a similar trend in communications from the ministry. Comparatively, the public interest on innovations, as measured by Google Trends data, lagged ministry communications by almost two years. Therefore, this article suggests that ministry communications aimed at guiding economic agents’ decisions towards certain developmental goals are in line with the flow of thoughts in the media and public in India.

Suggested Citation

  • Abhishek Ranjan & Siddhartha Nath, 2024. "Changing Contours Of Policy Communications In India," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(3), pages 435-458, July.
  • Handle: RePEc:idn:journl:v:27:y:2024:i:3c:p:435-458
    DOI: https://doi.org/10.59091/2460-9196.2288
    as

    Download full text from publisher

    File URL: https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=2288&context=bmeb
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.59091/2460-9196.2288?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
    ---><---

    References listed on IDEAS

    as
    1. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    2. 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.
    3. Aakriti Mathur & Rajeswari Sengupta, 2019. "Analysing monetary policy statements of the Reserve Bank of India," IHEID Working Papers 08-2019, Economics Section, The Graduate Institute of International Studies.
    4. Narayan, Paresh Kumar, 2021. "COVID-19 research outcomes: An agenda for future research," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 439-445.
    5. Dinh Hoang Bach Phan & Paresh Kumar Narayan, 2020. "Country Responses and the Reaction of the Stock Market to COVID-19—a Preliminary Exposition," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2138-2150, August.
    6. Bennani, Hamza, 2019. "Does People's Bank of China communication matter? Evidence from stock market reaction," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    7. repec:zbw:bofitp:2019_009 is not listed on IDEAS
    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. Zhang, Cheng & Lee, Yun-Chi & Ho, Kung-Cheng & Shen, Xixi, 2023. "Influence of institutional differences on trade credit use during pandemics," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    2. Massacci, Daniele, 2017. "Least squares estimation of large dimensional threshold factor models," Journal of Econometrics, Elsevier, vol. 197(1), pages 101-129.
    3. Wenfeng Ge & Xiaodong Yang & Qiying Ran, 2024. "Does Infrastructure Investment Remain an Effective Expansionary Tool? Based On the Green Economy Growth Perspective," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(1), pages 99-112, March.
    4. Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
    5. Baranowski, Paweł & Doryń, Wirginia & Łyziak, Tomasz & Stanisławska, Ewa, 2021. "Words and deeds in managing expectations: Empirical evidence from an inflation targeting economy," Economic Modelling, Elsevier, vol. 95(C), pages 49-67.
    6. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    7. Yang Xu & Xiaodong Yang & Qiying Ran, 2024. "The Impact of Fiscal Science and Technology Expenditure on Digital Economy: A New Path to Economic Recovery in The Post-Pandemic Era," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(1), pages 83-98, March.
    8. Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Testing policy effectiveness during COVID-19: An NK-DSGE analysis," Journal of Asian Economics, Elsevier, vol. 84(C).
    9. Farooque, Omar Al & Baghdadi, Ghasan & Trinh, Hai Hong & Khandaker, Sarod, 2023. "Stock liquidity during COVID-19 crisis: A cross-country analysis of developed and emerging economies, and economic policy uncertainty," Emerging Markets Review, Elsevier, vol. 55(C).
    10. Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
    11. Siyu Ren & Mingyue Du, 2024. "Will Green Finance Become a New Driving Force for Environmental Governance in The Post-Covid-19 Era: Evidence from China," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(1), pages 151-166, March.
    12. Li, Kaifeng & Devpura, Neluka & Cheng, Sijia, 2022. "How did the oil price affect Japanese yen and other currencies? Fresh insights from the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    13. Behera, Harendra & Gunadi, Iman & Rath, Badri Narayan, 2023. "COVID-19 uncertainty, financial markets and monetary policy effects in case of two emerging Asian countries," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 173-189.
    14. Ouyang, Zi-sheng & Liu, Meng-tian & Huang, Su-su & Yao, Ting, 2022. "Does the source of oil price shocks matter for the systemic risk?," Energy Economics, Elsevier, vol. 109(C).
    15. Gorodnichenko, Yuriy & Ng, Serena, 2017. "Level and volatility factors in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 52-68.
    16. Platania, Federico & Toscano Hernandez, Celina & Moreno, Manuel & Appio, Francesco, 2023. "The impact of public attention during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 58(PA).
    17. Devi Prasad Dash & Narayan Sethi, 2022. "Pandemics, Lockdown And Economic Growth: A Region-Specific Perspective On Covid-19," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(Special I), pages 43-60, March.
    18. Si, Deng-Kui & Zhao, Bing & Li, Xiao-Lin & Ding, Hui, 2021. "Policy uncertainty and sectoral stock market volatility in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 557-573.
    19. Behera, Chinmaya & Rath, Badri Narayan & Mishra, Pramod Kumar, 2024. "The impact of monetary and fiscal stimulus on stock returns during the COVID-19 Pandemic," Journal of Asian Economics, Elsevier, vol. 90(C).
    20. Zhang, Weike & Zhang, Xueyuan & Tian, Xiaoli & Sun, Fengwei, 2021. "Economic policy uncertainty nexus with corporate risk-taking: The role of state ownership and corruption expenditure," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).

    More about this item

    Keywords

    Public policy; Communication; Trade; Innovation;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:idn:journl:v:27:y:2024:i:3c:p:435-458. 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: Lutzardo Tobing or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.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.