Dynamic asset-liability management problem in a continuous-time model with delay

Chunxiang, A; Shen, Yang; Zeng, Yan

doi:10.1080/00207179.2020.1849807

Cited by 31 publications

(12 citation statements)

References 40 publications

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“…The control variables of this paper mainly include R&D investment (rd), Internet development (internet), corruption (cor), industrial structure upgrading (ugg), and human capital (hum). Specifically, the ratio of regional R&D investment in GDP is utilized to represent rd (Chunxiang et al, 2022). Following the research of Ren et al (2021), the internet is expressed by a comprehensive index system.…”

Section: Control Variablesmentioning

confidence: 99%

How to improve total factor energy efficiency under climate change: does export sophistication matter?

Liu

Xue

Mao

et al. 2022

Environ Sci Pollut Res

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Climate change has a profound impact on human survival and development. Climate change is an energy and economic issue, which should be driven by technology. Total factor energy efficiency (TFEE) improvement is undoubtedly a breakthrough in solving energy problems. In this paper, the fixed effect model, impulse response function, and threshold regression model are used to test the complex relationship between export sophistication and TFEE. The results reveal that export sophistication improvement leads to higher TFEE. The impulse response results verify the existence of a phased and positive correlation between export sophistication and TFEE. Finally, the relationship between export sophistication and TFEE significantly varied across different threshold levels of regional corruption score, economic development, and openness. This article led the foundation for supporting China's export sophistication promotion strategy and also provides a reference for energy efficiency improvement and energy crisis response in the post-pandemic era.

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Section: Control Variablesmentioning

confidence: 99%

How to improve total factor energy efficiency under climate change: does export sophistication matter?

Liu

Xue

Mao

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…That is, the dependent variables in the treatment and control groups have a common trend of change before the RTFR. To check the efficiency of the conclusions in this paper and to analyze the differences in the carbon reduction effects of RTFR at different time points, a dynamic effects analysis is conducted in this paper (Chunxiang et al, 2022), with the following model settings.…”

Section: Parallel Trend Test and Dynamics Effects Analysismentioning

confidence: 99%

Tax pressure, farmland management, and agricultural carbon abatement: Empirical evidence from tax-and-fees reform in rural China

Zhang

Wang

Liu

et al. 2022

Front. Environ. Sci.

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Agriculture is the second largest source of carbon emissions in the world. To achieve the strategic goals of “carbon peaking” and “carbon neutrality”, how to effectively control agricultural carbon emissions has become a focus of the Chinese government. As China’s most critical agricultural policy in the early 21st century, assessing the impact of rural tax-and-fees reform (RTFR) on agricultural carbon emissions has vital theoretical and practical implications. Based on panel data of 31 Chinese provinces from 2000 to 2019, this paper constructs a continuous difference-in-differences (CDID) model to identify the effects of RTFR on agricultural carbon emissions, and further tests the mechanisms and heterogeneity of the reform to achieve agricultural carbon emission reduction. The results demonstrate that the reform can effectively reduce the agricultural carbon intensity and improve agricultural carbon efficiency, with the effects of −6.35% and 6.14%, respectively. Moreover, the dynamic effect test shows that the impact of RTFR on agricultural carbon intensity and carbon efficiency is persistent. Furthermore, the mechanism analysis indicates that RTFR achieves the improvement of agricultural operation efficiency and the reduction of agricultural carbon emissions through the expansion of land operation area, the increase of productive investment in agriculture, and the special transfer payment from the central government. However, the impact of RTFR on local government revenue is not conducive to realizing the reform’s carbon reduction effect. The heterogeneity analysis illustrates that the reform policy effects differ in natural climatic conditions, topographical conditions, and crop cultivation structure. The RTFR mostly has a significant negative impact on the carbon emissions generated from material inputs and agricultural production. Therefore, to address the climate change crisis and improve the environmental efficiency of agricultural production, it is necessary to both reduce peasants’ tax burden and implement institutional construction efforts, to further promote the transformation of agricultural production to a low-carbon model.

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“…The less developed areas pay more attention to the industrial sector of economic output, and the developed areas pay more attention to the technology and pollution of the industry (Jing and Gu, 2008). Secondly, the competitive pricing mechanism of market-oriented land transfer will increase the land price level and the entry barriers of enterprises in the region, thus forcing some traditional industries with low productivity to move out (Chunxiang et al, 2022;Li et al, 2022). For example, for labor-intensive enterprises, the increase in the degree of marketization of land sales will lead to rising real estate prices and increase the burden on enterprises.…”

Section: Introductionmentioning

confidence: 99%

Does the marketization of land transfer have an impact on carbon emissions? Evidence from China

Zhang

Yang

Huang

2022

Front. Environ. Sci.

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Excessive carbon emissions caused by extensive economic development are the key to the current government’s carbon emission reduction goals. In the process of market-oriented reform of land transfer, alleviating the contradiction between land use and low-carbon development is an essential problem in achieving the purpose of carbon peaking and carbon neutrality. The impact of land transfer marketization on regional economic development is complex, and the final effect on carbon emissions needs to be further examined. Based on China’s provincial panel data from 2008 to 2017, this paper uses a double fixed effect model to conduct an empirical analysis. The lag effect of the initial regression results is tested, and the quantitative test of the mediating effect and moderating effect of fixed asset investment is also carried out. The following conclusions are drawn: Firstly, the improvement of the marketization of land transfer will promote carbon emissions; secondly, the promotion effect of the degree of marketization of land transfer on carbon emissions will become inhibited with the delay of the lag effect years. Moreover, fixed asset investment will play a masking effect and an adjustment effect; thirdly, the impact of the degree of marketization of land transfer on carbon emissions is different in the eastern and western regions divided by the degree of marketization, and the strength of government control will also have a significant impact on the impact. The research results of this paper enrich the economic impact theory of land transfer marketization and have certain value for regional land policy management in the context of carbon emission reduction.

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Dynamic asset-liability management problem in a continuous-time model with delay

Cited by 31 publications

References 40 publications

How to improve total factor energy efficiency under climate change: does export sophistication matter?

How to improve total factor energy efficiency under climate change: does export sophistication matter?

Tax pressure, farmland management, and agricultural carbon abatement: Empirical evidence from tax-and-fees reform in rural China

Does the marketization of land transfer have an impact on carbon emissions? Evidence from China

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