Does the expansion of local government debt affect the export quality?

Leng, Xuan; Li, Pengcheng; Zheng, Yu-Ming

doi:10.1002/mde.3830

Cited by 7 publications

(1 citation statement)

References 57 publications

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“…It can be seen from the previous steps of constructing the early warning system that after setting the debt risk early warning input and output index system, it is followed by the calculation of the debt risk early warning output sample value based on the output index system. On this basis, the number of comprehensive debt risk statuses in 30 provinces from 2006 to 2016 can be counted, as shown in Figure 2 ( Leng et al, 2023).…”

Section: Calculate the Output Sample Value Of The Comprehensive Risk ...mentioning

confidence: 99%

Application of QGA-BP Neural Network in Debt Risk Assessment of Government Platforms

Li,

Liu,

Zhang

2023

International Journal of Information Technology and Web Engineering

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How to correctly understand the existence of local government debt, study its risk classification and impact, give full play to the “dual nature” of debt with a full-caliber indicator system, and avoid debt risks to the greatest extent. That is the research direction of this article. In order to improve the accuracy and efficiency of risk assessment and effectively reduce the debt risk of government platform companies, a risk assessment method based on optimized back-propagation (BP) neural network is proposed. First, the method uses quantum genetic algorithm (quantum genetic algorithm, QGA) to adjust and determine the initial weight and threshold of BP neural network and realize the optimization of BP neural network model parameter setting. Then, the QGA-BP debt risk assessment of government platforms is verified that it performs well in the debt risk prediction of government platform companies, and its prediction accuracy and prediction speed are improved.

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Section: Calculate the Output Sample Value Of The Comprehensive Risk ...mentioning

confidence: 99%

Application of QGA-BP Neural Network in Debt Risk Assessment of Government Platforms

Li,

Liu,

Zhang

2023

International Journal of Information Technology and Web Engineering

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The hidden crowding out effect: How does local government implicit debt pressure influence enterprise productivity in China?

Wang,

Chen

et al. 2024

Manage Decis Econ

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To explore whether and how local government implicit debts pressure (LGIDP) affects the firm performance, this paper bases on the 2012–2018 listed enterprise data and local government financing vehicles (LGFVs) data to empirically test the impact of LGIDP on the total factor productivity (TFP) of non‐local government financing vehicles (N‐LGFVs). The results show that LGIDP significantly reduced the TFP of N‐LGFVs by transferring fiscal resources, enhancing tax collection, and transferring credit resources. But this distorting effect of LGIDP on the TFP of N‐LGFVs only exists in non‐state‐owned enterprises, small‐scale enterprises, and young enterprises. Our paper has an important policy recommendation that regulating LGFVs and alleviating LGIDP are of great significance for China to achieve sustained economic growth.

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Urban Green Innovation and the Export of Low‐Carbon Products by Firms in Emerging Markets: Evidence From Chinese Manufacturing Firms

Gao,

Song,

et al. 2024

Manage Decis Econ

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Given the backdrop of global warming and the rise of more stringent green trade barriers, such as the Carbon Border Adjustment Mechanism, we utilize data from firms in the world's largest emerging market to theoretically analyze and empirically test the effects of urban green innovation on the export of low‐carbon products by firms. First, urban green innovation significantly boosts the export of low‐carbon products by firms. Second, our analysis of the mechanisms shows that urban green innovation enhances firms' export of low‐carbon products by lowering production costs, easing internal financing constraints, and helping them navigate green trade barriers in host countries. Third, urban green innovation contributes simultaneously to reducing firms' energy consumption and pollution emissions, and it plays a significant role in expanding the export variety of low‐carbon products by firms, as well as increasing the number of host countries they serve. Our heterogeneity analysis reveals that the more differentiated the low‐carbon products, the greater the impact of urban green innovation. Moreover, urban green innovation has a more significant effect on promoting the export of low‐carbon products by non–state‐owned firms compared to state‐owned ones.

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Does the expansion of local government debt affect the export quality?

Cited by 7 publications

References 57 publications

Application of QGA-BP Neural Network in Debt Risk Assessment of Government Platforms

Application of QGA-BP Neural Network in Debt Risk Assessment of Government Platforms

The hidden crowding out effect: How does local government implicit debt pressure influence enterprise productivity in China?

Urban Green Innovation and the Export of Low‐Carbon Products by Firms in Emerging Markets: Evidence From Chinese Manufacturing Firms

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