Supply Chain Transmission of Hot Weather Shocks and Adaptive Behavior of Downstream Firms: An Empirical Study Based on Listed Companies in China

Published: 27 January 2025| Version 1 | DOI: 10.17632/zpn6dz4ynp.1
Contributor:
RUI WANG

Description

The evidences of temperature, supply chain, and adaptive procurement shift are matched observations from three databases. The weather data are from the National Meteorological Information Center[ The statistics agency branch of China Meteorological Administration. ]; the supply chain data are from China Stock Market & Accounting Research Database (CSMAR); and the trade volume data are from China Customs Database (CCD)[ Published by the General Administration of Customs of the People’s Republic of China. ]. We collect supplier-customer pairs from major suppliers disclosed in the semi-annual reports of China A-share listed companies and use the pairs as the basic observations. Eliminating irregular[ To be specific, we eliminate the pairs with missing values in key explained and explanatory variables; eliminate observations that violate basic accounting principles, such as samples with current assets, fixed assets or net fixed assets greater than total assets; eliminate companies in the financial industries; eliminate companies with ST or PT in the current year; and eliminate companies of negative age. We then match the customer firms in every supplier-customer pair with establishments in the China Customs Database. All pairs with customer firm’s imports data will be kept in the sample. ] data points, we obtain the max sample of 3480 observations spanning 2010 to 2016.

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Economics

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