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. 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.
    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. Narayan, Paresh Kumar, 2021. "COVID-19 research outcomes: An agenda for future research," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 439-445.
    4. 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.
    5. repec:zbw:bofitp:2019_009 is not listed on IDEAS
    6. 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.
    7. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    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. 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.
    4. 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).
    5. 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.
    6. Shah, Sayar Ahmad & Garg, Bhavesh, 2023. "Testing policy effectiveness during COVID-19: An NK-DSGE analysis," Journal of Asian Economics, Elsevier, vol. 84(C).
    7. 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.
    8. 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).
    9. 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).
    10. 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.
    11. 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).
    12. 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).
    13. Prabheesh, K.P. & Sasongko, Aryo & Indawan, Fiskara, 2023. "Did the policy responses influence credit and business cycle co-movement during the COVID-19 crisis? Evidence from Indonesia," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 243-255.
    14. Hao-Chang Yang & Ferry Syarifuddin & Chun-Ping Chang & Hai-Jie Wang, 2022. "The Impact of Exchange Rate Futures Fluctuations on Macroeconomy: Evidence from Ten Trading Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(8), pages 2300-2313, June.
    15. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2018. "Factor-Driven Two-Regime Regression," Department of Economics Working Papers 2018-14, McMaster University.
    16. Kang, Yong Joo & Park, Dojoon & Eom, Young Ho, 2024. "Global contagion of US COVID-19 panic news," Emerging Markets Review, Elsevier, vol. 59(C).
    17. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
    18. Iyke, Bernard Njindan & Maheepala, M.M.J.D., 2022. "Conventional monetary policy, COVID-19, and stock markets in emerging economies," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    19. Solikin M. Juhro & Dhaha Praviandi Kuantan & Charvin Lim, 2024. "Capital Expenditure Dynamics in ASEAN: Unveiling Determinants and The Impact of The COVID-19 Pandemic on Non-Financial Corporations," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(1), pages 1-24, March.
    20. Chen, Ying & Zhu, Xuehong & Li, Hailing, 2022. "The asymmetric effects of oil price shocks and uncertainty on non-ferrous metal market: Based on quantile regression," Energy, Elsevier, vol. 246(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.