China’s renewable energy trade potential in the "Belt-and-Road" countries: A gravity model analysis

Shuai, Jing; Leng, Zhihui; Cheng, Jinhua; Shi, Zheming

doi:10.1016/j.renene.2020.06.134

Cited by 70 publications

(28 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…whereas the reporting country's population and distance have significant negative effects on trade. Their findings are similar to those of Jing et al (2020), Leng et al (2020), and Nasrullah et al (2020).…”

Section: H1supporting

confidence: 84%

Is Trade in COVID-19 Products in ASEAN Economies a Building or Stumbling Block?

Uttama

2021

Journal of Economic Integration

View full text Add to dashboard Cite

Stumbling blocks to regional integration continue to pose a serious threat to the World Trade Organization (WTO), particularly during the COVID-19 pandemic. This study aims to examine the effect of regional economic integration on trade in COVID-19 products for Association of Southeast Asian Nations (ASEAN) countries using quarterly data for 2010-2020. A panel data model is estimated using the Poisson pseudo-maximum likelihood approach to address zero trade values, cross-sectional dependence, and heterogeneity problems. The findings of a case study on bilateral trade in COVID-19 products reveal that the ASEAN regional trade agreement is a stumbling block to the WTO's rules-based multilateral trading system. The results indicate that the home country's productive capacity, the host country's absorptive capacity, the countries' similarity in size and per capita income, and the countries' remoteness have positive and significant relationships with trade in COVID-19 products in ASEAN economies. This study provides several policy implications for Southeast Asian countries.

show abstract

Section: H1supporting

confidence: 84%

Is Trade in COVID-19 Products in ASEAN Economies a Building or Stumbling Block?

Uttama

2021

Journal of Economic Integration

View full text Add to dashboard Cite

show abstract

“…Between 2004–2018, the contribution rate for energy structure fluctuates to a certain extent, but the contribution amount gradually stabilized after 2012, indicating that the implementation of the Belt and Road Initiative has an adjustment effect on the energy structure of BRI countries. In recent years, regional energy cooperation has helped the BRI countries adjust their energy structure, which is mainly reflected in the increase of thermal power, wind power, hydropower, and solar power projects [ 68 ]. Adjusting the energy structure has a vital impact on renewable energy consumption, thereby further improving the renewable energy consumption in BRI countries.…”

Section: Resultsmentioning

confidence: 99%

Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach

Dong

Pan

2020

IJERPH

View full text Add to dashboard Cite

The development of renewable energy is an important cooperation theme among countries along the Belt and Road Initiative (BRI countries). Through map description, we first explore the changes in renewable energy consumption in BRI countries. Then, β-convergence is employed to examine the development direction of renewable energy consumption in BRI countries. Finally, based on the expanded Kaya equation, we decompose the factors effecting renewable energy consumption into energy structure effect, energy intensity effect, low-carbon economic effect, carbon emission effect, population distribution effect and population effect. The Logarithmic Mean Divisia Index (LMDI) is utilized to calculate the contribution of each factor to renewable energy consumption in the expanded Kaya equation. Our research reaches the following conclusions: (1) β-convergence exists in renewable energy consumption among BRI countries, indicating that it will converge to a relatively stable level, and countries with low renewable energy consumption will increase their renewable energy consumption with a higher convergence rate to chase the countries with high renewable energy consumption. (2) Energy structure effect makes a positive impact on renewable energy consumption, and is the main contributor to renewable energy consumption. (3) The energy intensity effect makes a negative contribution to renewable energy consumption, and the negative impact has deepened in recent years. (4) Both the low-carbon economic effect and the carbon emission effect have positive impacts on renewable energy consumption. Our research not only provides a description of the experience of developing renewable energy for BRI countries, but also makes reference to other organizations.

show abstract

“…However, this model ignores the fact that flows are influenced by both their origin and destination characteristics at the same time, which is instead considered in the gravity model. Nevertheless, the gravity model assumes that all flows are mutually independent [23,24], which is, however, not applicable to the information flow with strong spatial dependence. To solve this problem, Lesage, the spatial econometrician, integrated the above two models and proposed the spatial econometric interaction model as a new method for analyzing the spillover effects of flows [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

Chen

et al. 2021

Sustainability

View full text Add to dashboard Cite

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

show abstract

China’s renewable energy trade potential in the "Belt-and-Road" countries: A gravity model analysis

Cited by 70 publications

References 15 publications

Is Trade in COVID-19 Products in ASEAN Economies a Building or Stumbling Block?

Is Trade in COVID-19 Products in ASEAN Economies a Building or Stumbling Block?

Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach

Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

Contact Info

Product

Resources

About