Low-carbon financial risk factor correlation in the belt and road PPP project

Sun, Yu; Chen, Lizhen; Sun, Huaping; Taghizadeh–Hesary, Farhad

doi:10.1016/j.frl.2020.101491

Cited by 63 publications

(39 citation statements)

References 12 publications

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“…Robert et al [6], Wang [7] summarized the factors that should be considered when large engineering contractors enter the market in different regions. Sun et al [8] discussed low-carbon financial risk factor correlation in the belt and road PPP project.…”

Section: Introductionmentioning

confidence: 99%

Impact of natural-resource dependence on foreign contracting projects of China: A spatial panel threshold approach

Sun¹,

Sun²,

Chen³

et al. 2020

PLoS ONE

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The proposal of the "Belt and Road" initiative has had a positive and far-reaching impact on the economic and social development of countries and regions along the route and has provided good opportunities and conditions for the development of China's foreign contracted projects. In the present study, in view of the heterogeneous characteristics and spatial correlation of countries along the Belt and Road, panel data of 46 contracted projects in China along the Belt and Road from 2008 to 2017 were used to empirically study the spatial characteristics of resource heterogeneity and outsourcing projects in the host country from the perspectives of spatial correlation and spatial heterogeneity. The results indicated that China had significant spatial agglomeration effects, natural restraining effects, and spatial spillover effects on the contracting projects along the Belt and Road, and the marginal impact in low-income countries exhibited a "broken line" relationship. Corresponding suggestions were provided for Chinese enterprises contracting projects involving Belt and Road countries. The databases of BRI need to be established, and ensure green investment efficiency.

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Section: Introductionmentioning

confidence: 99%

Impact of natural-resource dependence on foreign contracting projects of China: A spatial panel threshold approach

Sun¹,

Sun²,

Chen³

et al. 2020

PLoS ONE

Self Cite

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“…At present, scholars have carried out researches on the BRI from various perspectives. Sun et al, investigate the low-carbon financial risk in the project along the BRI and suggest that China needs to establish the risk databases along the BRI to ensure investment efficiency [15]. Other than this, Liu et al, explore the risks of biological invasion on the BRI and find a total of 14 invasion hotspots [16].…”

Section: Studies On Bri Country Risk Assessmentmentioning

confidence: 99%

Analytical Approach to Quantitative Country Risk Assessment for the Belt and Road Initiative

Dong

Jiang

et al. 2021

Sustainability

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In recent years, the “Belt and Road Initiative” (BRI) promoted by the Chinese government has attracted a significant amount of international trade and transnational investment and other businesses. Accordingly, country risk assessment should be granted priority in the decision-making process for these projects. Based on a comprehensive consideration of important relevant countries and the availability of data of countries along the BRI, this paper uses data from 49 countries along the BRI between 2014–2019 and establishes a national risk-evaluation system for the BRI from four dimensions (i.e., political, economic, social, and investment). This paper adopts the Grey correlation analysis based on the Technique for Order Preference by Similarity to Ideal Solution (Grey-TOPSIS) method to identify and evaluate the risk of countries along the BRI. Geographic Information System (GIS) maps are drawn according to the criteria for classifying the five risk levels to show the rank of the four aspects of risk scores along the BRI in 2019 and the rank of overall country risk scores during the period 2014–2019. The proposed conclusion and policy implications can help the Chinese government and companies to make informed decisions and minimize potential risks.

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“…Reachability matrix (RM). First, the adjacency matrix is established and the relationships between the risk factors that affect the fresh agricultural product supply are assigned either 1 or 0 depending on if a relationship exists or not, respectively, to quantify the qualitative relationships [23]. A matrix of these elements is constructed.…”

Section: Application Of Ism-micmacmentioning

confidence: 99%

Social and natural risk factor correlation in China's fresh agricultural product supply

Bian

Shi

2020

PLoS ONE

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The perishable nature of fresh agricultural products and their vulnerability to environmental impacts make fresh agricultural product supplies susceptible to more complex social risks and unpredictable natural risks. This study identifies 13 social and natural risk factors that could adversely affect the fresh agricultural product supply and uses ISM and MICMAC to develop a hierarchical structure of the risks to analyze the correlation of these risk factors. The results showed that these risk factors have a strong positive correlation, a reasonable risk-sharing mechanism should be established for the fresh agricultural product supply and the improvement in the supervision error correction system should be strengthened.

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Low-carbon financial risk factor correlation in the belt and road PPP project

Cited by 63 publications

References 12 publications

Impact of natural-resource dependence on foreign contracting projects of China: A spatial panel threshold approach

Impact of natural-resource dependence on foreign contracting projects of China: A spatial panel threshold approach

Analytical Approach to Quantitative Country Risk Assessment for the Belt and Road Initiative

Social and natural risk factor correlation in China's fresh agricultural product supply

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