{'fraction_non_alphanumeric': 0.024050632911392405, 'fraction_numerical': 0.021518987341772152, 'mean_word_length': 5.591666666666667, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Will the Supporting Policies Help the Recovery of SMEs during the Pandemic of COVID-19? — Evidence from Chinese Listed Companies

ABSTRACT Employing the method of fuzzy Regression Discontinuity Design (Fuzzy-RDD) with 12220 valid sample data from 2,444 enterprises and with data duration covering from February to June 2020, this paper studied the effectiveness of supporting policies for small and medium-sized enterprises (SMEs) during the COVID-19 in China. The study found that the policies which were implemented are beneficial for wholesale enterprises recovery. However, they are not beneficial for manufacturing, transportation and information transmission industries. Suggestions were put forward to the government about how to improve the support policies’ effectiveness for SMEs.