2017
DOI: 10.1016/j.chieco.2017.05.008
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Zombie firms and over-capacity in Chinese manufacturing

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Cited by 140 publications
(74 citation statements)
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“…The dependent binary variable ZOM has mean 0.101 indicating 10.1% of observations in our sample are identified as zombie firms. This proportion is consistent with the results using FN-CHK model in other studies (Shen and Chen, 2017). This is however lower than the results of about 20% of those who simply use the CHK model (Jiang et al, 2017).…”
Section: Descriptive Statisticssupporting
confidence: 91%
See 1 more Smart Citation
“…The dependent binary variable ZOM has mean 0.101 indicating 10.1% of observations in our sample are identified as zombie firms. This proportion is consistent with the results using FN-CHK model in other studies (Shen and Chen, 2017). This is however lower than the results of about 20% of those who simply use the CHK model (Jiang et al, 2017).…”
Section: Descriptive Statisticssupporting
confidence: 91%
“…In order to avoid these two types of errors, Fukuda and Nakamura (2011) modify the CHK measure using the "profit standard" and "evergreen loan standard" (FN-CHK). Due to the high accuracy of recognition, the FN-CHK model is widely used in the study of zombie firms (Han et al, 2019;Jiang et al, 2017;Shen and Chen, 2017;Tan et al, 2016). We use the FN-CHK model to identify zombie firms according to the following three steps.…”
Section: Identifying Zombie Firmsmentioning
confidence: 99%
“…When zombie firms are linked to the overcapacity problem, the countercyclical pattern is more intuitive. Zombie firms are found to cause and worsen overcapacity in China by crowding out healthy firms (Shen and Chen, 2017). Drawing on international experience, one can observe that zombie firms are prone to appear in industries that are tied to cycles of economic growth, such as housing, steel and automobile.…”
Section: This Shock Negatively Affected the Profitability Of Chinese mentioning
confidence: 99%
“…If China's economic growth slows further or if the Chinese government's deleveraging policy leads to turmoil in credit markets, it is not unreasonable to imagine that certain types of liquidity or debt crisis may occur, at least in certain regions or industries. For example, in industries with overcapacity, such as coal, steel, and cement, and in the West, North, and Northeast regions, such as Ningxia, Qinghai, Hebei, Shanxi, Heilongjiang, and Jilin, there are numerous so‐called ‘zombie firms’ facing insolvency problems (Lam et al ; Shen and Chen ). Financial distress in these firms and industries is so severe that the Economist Intelligence Unit (EIU) () reports that it would take 91 years and 74 years, respectively, for the coal and ferrous‐metal (including steel) smelting industries to pay back their debts.…”
Section: China's Financial Repression and Financial Vulnerabilitymentioning
confidence: 99%