Research on the Relation between Foreign Trade and Green Economic Efficiency in Subdeveloped Region: Based on Data from Central China

Gong, Enze; Zhao, Cuizehao

doi:10.3390/su14063167

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…This section discusses the materials used to examine the relationship and correlation between logistics and economic development. According to various researchers, the Yangtze River Economic Belt region [ 23 ] is utilized in this work. The data is collected from 2009 to 219; here, 2022 sustainability is utilized in 24 provincial-level regions.…”

Section: Methodsmentioning

confidence: 99%

The impact of digital logistics under the big environment of economy

Zhang

Gong²,

Tong³

2023

PLoS ONE

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Digital logistics techniques are important for business applications that contribute to economic growth. The modern supply chain or logistics seeks to implement a large-scale smart infrastructure incorporating data, physical objects, information, products, and business progressions. The business applications are utilized various intelligent techniques to maximize the logistic process. However, the logistic process suffers due to transportation costs, quality, and multinational transportation. These factors frequently affect the region’s economic growth. In addition, most cities are located in remote areas that receive improper logistic support, which minimizes business growth. So, this work analyzes the impact of digital logistics on the region’s economy. The Yangtze River economic belt region, which includes almost 11 cities, is chosen for analysis. The gathered information is processed by Dynamic Stochastic Equilibrium with Statistical Analysis Modelling (DSE-SAM), which predicts the correlation and influence of digital logistics on economic development. Here, the judgment matrix is constructed to reduce the difficulties of data standardization and normalization processes. Then entropy model and statistical correlation analysis are utilized to improve the overall impact analysis process. Finally, the developed DSE-SAM based created system efficiency is compared with the other economic models, such as Spatial Durbin Model (SDM), Coupling Coordination Degree Model (CCDM), and Collaborative Degree Model (CDM). The results of the suggested DSE-SAM model achieve a high correlation of urbanization, logistics, and ecology in the Yangtze River economic belt region compared to other regions.

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Section: Methodsmentioning

confidence: 99%

The impact of digital logistics under the big environment of economy

Zhang

Gong²,

Tong³

2023

PLoS ONE

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“…With a rise in energy prices, environmental pollution will be reduced, but a decline in energy prices will distort environmental pollution, which in turn will affect the efficiency of the green economy. Zhang et al (46) believe that the intensity of foreign trade will have a significant impact on the efficiency of the green economy, and continuously expanding the scale of highquality foreign trade can promote regional green growth. Therefore, this paper selects government funding intensity, energy consumption, energy prices, and foreign trade intensity as control variables.…”

Section: Control Variablesmentioning

confidence: 99%

The impact of public health events on green economy efficiency in the context of environmental regulation

Zhou

Yang²,

Fu³

et al. 2022

Front. Public Health

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Public health crises have become one of the greatest threats to sustainable global economic development. It is therefore important to explore the impact of public health events on green economic efficiency. However, few studies have specifically examined the relationship between public health security and green economic efficiency. Based on the relevant data of 30 Chinese provinces from 2011 to 2019, this paper explores the impact of public health on green economic efficiency by establishing a four-stage SBM-DEA model to construct green economic efficiency indicators and using a panel model. A moderating effect model is established to explore the moderating effect of environmental regulation on the impact of public health on green economic efficiency. In addition, this paper examines the heterogeneity of public health impact on green economic efficiency in terms of geographic location, carbon pilot, and transportation level. It is found that, first, public health events have a significant hindering effect on green economic efficiency. Second, environmental regulation has a significant moderating effect on the impact of public health events on green economic efficiency. Third, the impact of public health events on green economic efficiency changes from hindering to facilitating as the intensity of environmental regulation increases. Fourth, the impact of public health events on green economic efficiency is heterogeneous in terms of geographic location, carbon pilot, and transportation level. The above studies have implications for how to balance economic development and environmental protection in case of a public safety event.

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“…The literature [15] used an economic distance weight matrix, combined with spatial autocorrelation analysis and a spatial panel econometric model, to explore the spatial effects of upgrading firm structures in external trade and foreign investment regions. In response to the phenomenon that foreign trade in less developed regions can cause serious environmental problems, the literature [16] used a qualitative approach to analyze the green economic benefits of foreign trade and sub-developed regions. The literature [17] establishes a complete picture of Germany's foreign trade by analyzing data on products, trading partners, volumes and values over a long period of its foreign trade and verifies Germany's dominant position in manufacturing in combination with the theory of comparative advantage.…”

Section: Introductionmentioning

confidence: 99%

Research on the path of high-quality development of China’s foreign trade in the context of ARDL-based model

Zhao

2023

Applied Mathematics and Nonlinear Sciences

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To explore the path of high-quality development of China’s foreign trade, this paper selects four dimensions of foreign trade foundation, foreign trade competitiveness, foreign trade performance level and foreign trade sustainability based on the characteristics of comparability and strong operability and establishes the evaluation system of foreign trade level by using the improved entropy weight TOPSIS. Based on the evaluation results, the impact of the RMB exchange rate on China’s import and export trade is explored based on the autoregressive distributed lag model, and the lagged residual term of ARDL is modified in combination with the ECM model, which is set for the import direction and export direction respectively. The impact of exchange rate level change on all three types of enterprises has a significant change process, especially for exporting foreign-funded and other types of enterprises. Among them, the coefficient LnY of the export equation for foreign-owned enterprises fluctuated between 2.1 and 2.5 in 2018, and LnReer fluctuated between -1.8 and -1.2.

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Research on the Relation between Foreign Trade and Green Economic Efficiency in Subdeveloped Region: Based on Data from Central China

Cited by 4 publications

References 15 publications

The impact of digital logistics under the big environment of economy

The impact of digital logistics under the big environment of economy

The impact of public health events on green economy efficiency in the context of environmental regulation

Research on the path of high-quality development of China’s foreign trade in the context of ARDL-based model

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