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How do political connections of firms matter during an economic crisis?

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  • Chen, Yutong
  • Chiplunkar, Gaurav
  • Sekhri, Sheetal
  • Sen, Anirban
  • Seth, Aaditeshwar

Abstract

We use a new machine learning-enabled, social network based measurement technique to assemble a novel dataset of firms’ political connections in India. Combining it with a long panel of detailed financial transactions of firms, we study how firms leverage these connections during an economic downturn. Using a synthetic difference-in-differences framework, we find that connected firms had 8%–10% higher income, sales, and TFPR gains that were persistent for over a three-year period following the crisis. We unpack various novel mechanisms and show that connected firms were able to decrease expensive long-term borrowings from banks in favor of short-term non-collateral ones, increase borrowing from the government, delay their short-term payments to suppliers and creditors, delay debt and interest payments, and increase investments in productive assets such as computers and software. Our method to determine political connections is portable to other applications and contexts.

Suggested Citation

  • Chen, Yutong & Chiplunkar, Gaurav & Sekhri, Sheetal & Sen, Anirban & Seth, Aaditeshwar, 2025. "How do political connections of firms matter during an economic crisis?," Journal of Development Economics, Elsevier, vol. 175(C).
  • Handle: RePEc:eee:deveco:v:175:y:2025:i:c:s0304387825000227
    DOI: 10.1016/j.jdeveco.2025.103471
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    More about this item

    Keywords

    Political connections; Firms; Crisis;
    All these keywords.

    JEL classification:

    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption

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