| Literature DB >> 36232245 |
Wei Hu1, Yuejing Ge2, Zhiding Hu3, Shuai Ye4, Feng Yang5, Haining Jiang1, Kun Hou6, Yun Deng1.
Abstract
With the advances of the Belt and Road Initiative (BRI), the geo-economic interactions between China and countries along the 21st-Century Maritime Silk Road counties (MSRCs) continue to increase, and analyzing the geo-economic relations between China and the MSRCs is extremely important for a scientific understanding of bilateral geo-economic cooperation. Differently from the traditional logic of geo-economic competition and cooperation, we constructed a new framework based on the dominant factors of geo-economic relations and used an extreme random forest regression model to classify the geo-economic relation types between China and MSRCs from 2006 to 2017. The results show that the unbalanced development of investment and trade between China and MSRCs hindered the enhancement of the intensity of bilateral geo-economic linkage from 2006 to 2017. The "Matthew effect" of China's geo-economic flow linkage with MSRCs is significant. There are obvious differences in the dominant factors affecting the types of geo-economic relations between China and MSRCs, and the distribution of the importance of the indices of the types of geo-economic relations in each country is disordered. Geopolitics, markets, and resources have played important roles in the geo-economic linkages between China and MSRCs. There are five types of geo-economic relations between China and the MSRCs: market-oriented type, resource-oriented type, market-resource-oriented type, market-geopolitics-oriented type, and resource-geopolitics-oriented type, of which the market-oriented type is the most important type of geo-economic relations. In the future, China should focus on regional powers along the Maritime Silk Road for bilateral geo-economic cooperation, actively promote the balanced development of bilateral geo-economic elements flows, strengthen geopolitical cooperation with MSRCs, and formulate cooperation plans according to the types of geo-economic relations.Entities:
Keywords: China; extreme random forest regression model; geo-economic linkage; geo-economic types; the 21st-Century Maritime Silk Road (MSRCs)
Mesh:
Substances:
Year: 2022 PMID: 36232245 PMCID: PMC9566543 DOI: 10.3390/ijerph191912946
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Study area. Note: The map is a drawing is based on the standard map of GS (2016) 1667 that come from the standard map service system of the Ministry of Natural Resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/index.html, accessed on 3 October 2022).
MSRCs and regional divisions.
| Regional | Countries |
|---|---|
| three East Asian countries | Japan, South Korea, North Korea |
| nine Southeast Asia countries | Indonesia, Thailand, Malaysia, Vietnam, Singapore, Philippines, Myanmar, Cambodia, Brunei |
| four South Asian countries | India, Bangladesh, Pakistan, Sri Lanka |
| fourteen West Asia countries | Saudi Arabia, United Arab Emirates, Oman, Iran, Turkey, Israel, Kuwait, Iraq, Qatar, Jordan, Lebanon, Bahrain, Yemen, Syria |
| five Balkans countries | Greece, Slovenia, Croatia, Albania, Cyprus |
| four African countries | Egypt, Kenya, Tanzania, Sudan |
Figure 2The variation of geo-economic linkage intensity between China and the MSRCs.
Figure 3The spatial distribution of geo-economic linkage intensity between China and MSRCs. Note: The map is a drawing is based on the standard map of GS (2016) 1667 that comes from the standard map service system of the ministry of natural resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/index.html, accessed on 3 October 2022).
The variation in the geo-economic linkage intensity of regional powers (million dollars).
| Country | 2006 | 2008 | 2010 | 2012 | 2014 | 2016 | 2017 |
|---|---|---|---|---|---|---|---|
| Japan | 121,513.73 | 171,436.02 | 194,132.62 | 184,474.52 | 208,243.62 | 201,161.28 | 216,048.90 |
| Proportion of Japan | 42.96% | 39.52% | 37.29% | 29.78% | 27.49% | 27.33% | 25.91% |
| South Korea | 66,582.57 | 100,299.76 | 120,787.34 | 146,936.85 | 200,639.03 | 183,689.56 | 209,850.48 |
| Proportion of South Korea | 23.54% | 23.12% | 23.20% | 23.72% | 26.49% | 24.96% | 25.17% |
| Malaysia | 15,640.65 | 24,219.31 | 32,595.01 | 48,803.47 | 74,553.03 | 62,286.53 | 59,824.88 |
| Proportion of Malaysia | 5.53% | 5.58% | 6.26% | 7.88% | 9.84% | 8.46% | 7.17% |
| Singapore | 18,594.64 | 27,143.75 | 31,435.97 | 38,490.34 | 45,284.99 | 45,990.28 | 52,755.06 |
| Proportion of Singapore | 6.57% | 6.26% | 6.04% | 6.21% | 5.98% | 6.25% | 6.33% |
| India | 9264.93 | 20,653.39 | 24,371.74 | 25,780.00 | 25,683.86 | 19,007.20 | 29,906.09 |
| Proportion of India | 3.28% | 4.76% | 4.68% | 4.16% | 3.39% | 2.58% | 3.59% |
| Saudi Arabia | 6795.62 | 14,772.61 | 15,010.70 | 27,422.44 | 26,419.75 | 20,672.96 | 23,199.67 |
| Proportion of Saudi Arabia | 2.40% | 3.41% | 2.88% | 4.43% | 3.49% | 2.81% | 2.78% |
| Egypt | 635.56 | 1228.17 | 1852.24 | 2778.66 | 2961.26 | 2416.36 | 3111.35 |
| Proportion of Egypt | 0.22% | 0.28% | 0.36% | 0.45% | 0.39% | 0.33% | 0.37% |
Index system of geo-economic relation types.
| Dominant fFactors | Index | Unit | Variable Name |
|---|---|---|---|
| Distance | Distance between capitals | Km | X1 |
| Geopolitics | Conflict goldenstein factor | / | X4 |
| Market | GDP | $ | X7 |
| Resource | Fuel exports as a percentage of merchandise exports | % | X10 |
Figure 4Type indices showing the characteristic importance of geo-economic relations between China and MSRCs. Note: The greater the value, the greater the importance of type indices.
Evaluation of the effect of the extreme random forest regression model.
| Country | R2 | MSE | MAE | EVS |
|---|---|---|---|---|
| Japan | 1 | 0.00000000126033000 | 0.010369 | 1 |
| North Korea | 1 | 0.00000000000002964 | 0.000038 | 1 |
| South Korea | 1 | 0.00000000071889800 | 0.007218 | 1 |
| Indonesia | 1 | 0.00000000001375170 | 0.000949 | 1 |
| Thailand | 1 | 0.00000000001528910 | 0.000982 | 1 |
| Malaysia | 1 | 0.00000000005340960 | 0.002030 | 1 |
| Vietnam | 1 | 0.00000000002046850 | 0.000114 | 1 |
| Singapore | 1 | 0.00000000003645810 | 0.000169 | 1 |
| Philippines | 1 | 0.00000000000366551 | 0.000045 | 1 |
| Myanmar | 1 | 0.00000000000025831 | 0.000111 | 1 |
| Cambodia | 1 | 0.00000000000001940 | 0.000030 | 1 |
| Brunei | 1 | 0.00000000000000191 | 0.000012 | 1 |
| Saudi Arabia | 1 | 0.00000000001467870 | 0.000099 | 1 |
| United Arab Emirates | 1 | 0.00000000000782794 | 0.000667 | 1 |
| Oman | 1 | 0.00000000000059885 | 0.000199 | 1 |
| Iran | 1 | 0.00000000000457951 | 0.000568 | 1 |
| Turkey | 1 | 0.00000000000114745 | 0.000272 | 1 |
| Israel | 1 | 0.00000000000044109 | 0.000175 | 1 |
| Kuwait | 1 | 0.00000000000023910 | 0.000132 | 1 |
| Iraq | 1 | 0.00000000000054151 | 0.000187 | 1 |
| Qatar | 1 | 0.00000000000009229 | 0.000008 | 1 |
| Jordan | 1 | 0.00000000000001364 | 0.000029 | 1 |
| Lebanon | 1 | 0.00000000000001485 | 0.000031 | 1 |
| Bahrain | 1 | 0.00000000000000068 | 0.000007 | 1 |
| Yemen | 1 | 0.00000000000002779 | 0.000045 | 1 |
| Syria | 1 | 0.00000000000000332 | 0.000015 | 1 |
| India | 1 | 0.00000000001486080 | 0.001102 | 1 |
| Pakistan | 1 | 0.00000000000070024 | 0.000228 | 1 |
| Bangladesh | 1 | 0.00000000000049083 | 0.000159 | 1 |
| Sri Lanka | 1 | 0.00000000000010705 | 0.000082 | 1 |
| Slovenia | 1 | 0.00000000000000080 | 0.000023 | 1 |
| Croatia | 1 | 0.00000000000000330 | 0.000017 | 1 |
| Albania | 1 | 0.00000000000000003 | 0.000004 | 1 |
| Cyprus | 1 | 0.00000000000000219 | 0.000013 | 1 |
| Greece | 1 | 0.00000000000006996 | 0.000075 | 1 |
| Egypt | 1 | 0.00000000000031988 | 0.000147 | 1 |
| Kenya | 1 | 0.00000000000000610 | 0.000006 | 1 |
| Tanzania | 1 | 0.00000000000001063 | 0.000003 | 1 |
| Sudan | 1 | 0.00000000000001721 | 0.000035 | 1 |
Figure 5Types of geo-economic relations between China and the MSRCs. Note: The map is a drawing is based on the standard map of GS (2016) 1667 that comes from the standard map service system of the Ministry of Natural Resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/index.html, accessed on 3 October 2022).