2022
DOI: 10.3390/su14063481
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Leverage of Local State-Owned Enterprises, Implicit Contingent Liabilities of Government and Economic Growth

Abstract: Local state-owned enterprises (SOEs) working together with local governments can promote economic growth. However, an increase in the implicit contingent liabilities of local governments due to implicit guarantees given to SOEs has a negative effect on economic growth. The classical socialist theories and the economic stability in each financial crisis of China show that the macroeconomic efficiency of SOEs is more important than the microeconomic efficiency, and microeconomic efficiency in neoclassical econom… Show more

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Cited by 3 publications
(4 citation statements)
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References 61 publications
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“…The main factors of local governments at all levels that affect the implicit debt risk include the following. The first factor is the debt management level α [4]. α directly reflects the ability of local governments to manage implicit debt at all levels.…”
Section: Contagion Mechanismmentioning
confidence: 99%
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“…The main factors of local governments at all levels that affect the implicit debt risk include the following. The first factor is the debt management level α [4]. α directly reflects the ability of local governments to manage implicit debt at all levels.…”
Section: Contagion Mechanismmentioning
confidence: 99%
“…Based on the above-constructed risk contagion model of local government implicit debt, we next simulate and analyze the evolutionary characteristics and control strategies for risk contagion of local government implicit debt under multi-subject collaboration. This section sets benchmark values for the debt management level, information openness accuracy, information disclosure strategy, emotion tendency, risk preference level, credit policy robustness, accountability mechanism soundness, and perfection of laws and regulations based on Duan et al [4], Guo et al [5], Liu and Li [6], Feng et al [9], Dong et al [10], Cutura [12], and Zhao et al [13]. The benchmark values for the other parameters in the model are mainly determined based on the research of Wang et al [32], Qian et al [35], and Chen et al [34].…”
Section: Simulation Analysismentioning
confidence: 99%
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