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Assessing the scope of gold refineries in India: Evidence from survey data

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  • Mukherjee, Paramita
  • Mukherjee, Vivekananda

Abstract

Historically, gold has been one of the major imports of India with high demand on the country's foreign exchange reserve. For solving the problem, in recent times, the Indian policymakers have thought about import substitution of refined bullion by domestically refined gold. In this paper, we assess the scope of gold refining industry in India by conducting a primary survey on practices of organized sector gold refiners across India. This novel survey collects rich information on the opinion of the Indian gold refineries about the impediments towards the growth of the industry. Using the microdata collected at the refinery level, we perform a cluster analysis concerning the opinion of the refiners on seven key statements about the problems of the industry. This is accompanied by an economic analysis on the basis of the collected data and the available secondary data. The survey finds wide variation in practices and opinion depending on the types of the firms classified on their scale of operation and location. Our survey provides evidence on how their view differs significantly from the macro view of the policy makers. The refiners agree on three factors as impediments to the growth of the refinery industry: the existing tax/tariff structure, the difficulty of availing bank loan to meet working capital demand and the absence of a well-accepted quality-certification protocol. Our findings based on the economic analysis have important supply side policy implications, viz. with the rise in gold price and implementation of certification protocol, there exists a significant scope of expansion of the gold refinery industry in short and medium term by replacing the imported bullion.

Suggested Citation

  • Mukherjee, Paramita & Mukherjee, Vivekananda, 2020. "Assessing the scope of gold refineries in India: Evidence from survey data," Resources Policy, Elsevier, vol. 69(C).
  • Handle: RePEc:eee:jrpoli:v:69:y:2020:i:c:s0301420720305201
    DOI: 10.1016/j.resourpol.2020.101810
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    References listed on IDEAS

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    1. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    2. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    3. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    4. Narayanan, Priya & Gopalakrishnan, Balagopal & Sahay, Arvind, 2020. "Understanding the government's attempt to transform attitudes towards a critical resource: Gold monetization in India," Resources Policy, Elsevier, vol. 66(C).
    5. Mukherjee, Paramita & Mukherjee, Vivekananda & Das, Debasmita, 2017. "Estimating elasticity of import demand for gold in India," Resources Policy, Elsevier, vol. 51(C), pages 183-193.
    6. Kanjilal, Kakali & Ghosh, Sajal, 2014. "Income and price elasticity of gold import demand in India: Empirical evidence from threshold and ARDL bounds test cointegration," Resources Policy, Elsevier, vol. 41(C), pages 135-142.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Gold refining; Gold import; Quality of gold; Gold industry; Business practices; Gold supply chain;
    All these keywords.

    JEL classification:

    • L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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