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International Journal of Social Sciences and Economic Management, 2021, 2(1); doi: 10.38007/IJSSEM.2021.020106.

The Complementarity of China-EU Industrial Manufactured Products Trade based on the Belt and Road Initiative

Author(s)

Saind Musse Abdullahi

Corresponding Author:
Saind Musse Abdullahi
Affiliation(s)

Saigon University, Vietnam

Abstract

As the final node of the "One Belt One Road" initiative, Europe is also Chinese largest trading partner, and has always played an important role in the exchange of goods between the East and the West. The commodities traded between China and Europe are generally based on manufactured products. This article aims to study the complementarity of China-EU industrial trade based on the "Belt and Road" initiative. Survey and the proportion of Central European countries in all levels of manufactured goods trade. This article proposes to use an analytical method to explore the important factors affecting the trade complementarity of China and European industrial products, and use the intra-industry trade index, business complementarity index and business integration index to analyze the complementarity of industrial products between China and European countries. Then through the analysis of the development status of the industrial products trade of the two sides, the overall trend of the industrial products trade development of the two sides can be obtained. The results prove that China and European countries are highly complementary in low- and medium-tech industrial manufactured products, with a trade complementarity index of 1.798, which is relatively stable and both are greater than 1, and there is great potential for development. However, as a whole, the complementarity of manufactured products with medium and high technology content is relatively low. The average trade complementarity index is 0.792, and the index is less than 1, and the development potential is relatively low. As far as high-tech industrial products are concerned, they are highly complementary to some European countries, but not highly complementary to other European countries, but generally speaking, their development potential is very good and relatively optimistic. Therefore, studying the complementarity and competitiveness of China-Europe industrial products trade will help to understand the current situation of Chinese industrial products trade and discover the gaps between China and  European industrial products. It is of practical significance to improve the competitiveness of Chinese industrial products trade and to strengthen China-Europe industrial products trade.

Keywords

One Belt One Road, Manufactured Goods, Trade Complementarity, Influencing Factors

Cite This Paper

Saind Musse Abdullahi. The Complementarity of China-EU Industrial Manufactured Products Trade based on the Belt and Road Initiative. International Journal of Social Sciences and Economic Management (2021), Vol. 2, Issue 1: 62-81. https://doi.org/10.38007/IJSSEM.2021.020106.

References

[1] Xiaoyu H U ,  Chunjie Q I . Development of Agricultural Products Trade between China and Four South Asian Countries - An Empirical Analysis Based on Trade Competitiveness and Complementarity. Asian Agricultural Research, 2018, 10(11):5-12+26.

[2] Ibrahim K H ,  Shehu A . Nigeria-India Bilateral Trade Relations: An Analysis of Trade Complementarity Index (TCI). Asian Journal of Economic Modelling, 2016, 4(4):190-198.

[3] Maryam J ,  Mittal A . An empirical analysis of India's trade in goods with BRICS. International Review of Economics, 2019, 66(4):399-421. https://doi.org/10.1007/s12232-019-00328-7

[4]Fan Z ,  Zhang R ,  Liu X , et al. Chinese outward FDI efficiency along the Belt and Road. China Agricultural Economic Review, 2016, 8(3):455-479. https://doi.org/10.1108/CAER-11-2015-0158

[5] Shiferaw A ,  Hailu D . Job creation and trade in manufactures: industry-level analysis across countries. IZA Journal of Labor & Development, 2016, 5(1):1-36. https://doi.org/10.1186/s40175-016-0052-z

[6] Eor M K . Analysis of the Factor Endowments and Agricultural Trade for Economic Cooperation in Northeast Asia. Social Science Electronic Publishing, 2017, 8(1):143-167.

[7] Garipova L I ,  Batrakov A S ,  Kusyumov A N , et al. Aerodynamic and acoustic analysis of helicopter main rotor blade tips in hover. International Journal of Numerical Methods for Heat & Fluid Flow, 2016, 26(7):2101-2118. https://doi.org/10.1108/HFF-08-2015-0348

[8] Wang R . The Internationalization Development Strategy and Path of Chinese Vocational Education in the Context of "The Belt and Road". Vocational and Technical Education, 2018, 5(2):92-102.

[9] Sekkat K . Exchange rate misalignment and export diversification in developing countries. Quarterly Review of Economics & Finance, 2016, 59(Feb.):1-14. https://doi.org/10.1016/j.qref.2015.08.001

[10] Yu S ,  Lu H . Relationship between urbanisation and pollutant emissions in transboundary river basins under the strategy of the Belt and Road Initiative. Chemosphere, 2018, 203(JUL.):11-20.

[11] Zhang Z ,  Jin W ,  Jiang H , et al. Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey. Transport Policy, 2017, 54(Feb.):11-20. https://doi.org/10.1016/j.tranpol.2016.10.005

[12] Tomarov G V ,  Shipkov A A . World Geothermal Congress WGC-2015. Thermal engineering, 2016, 63(8):601-604. https://doi.org/10.1134/S0040601516050098

[13] Kumar S . Intra-Industry Trade and Trade Complementarity: Evidence from India-Sri Lanka Bilateral Trade. Journal of International Economics, 2016, 6(2):38-70.

[14] Wadud Z ,  Chintakayala P K . Personal Carbon Trading: Trade-off and Complementarity Between In-home and Transport Related Emissions Reduction. Ecological Economics, 2019, 156(FEB.):397-408. https://doi.org/10.1016/j.ecolecon.2018.10.016

[15] F  Ascens?O,  Fahrig L ,  Clevenger A P , et al. Environmental challenges for the Belt and Road Initiative. Nature Sustainability, 2018, 1(5):206-209. https://doi.org/10.1038/s41893-018-0059-3

[16] D  Li,  Yu H ,  Li X . The Spatial-Temporal Pattern Analysis of City Development in Countries along the Belt and Road Initiative Based on Nighttime Light Data. Geomatics & Information Science of Wuhan University, 2017, 42(6):711-720.

[17] F  Costa,  Garred J ,  Pessoa J P . Winners and losers from a commodities-for-manufactures trade boom. CEP Discussion Papers, 2016, 102(sep.):50-69. https://doi.org/10.1016/j.jinteco.2016.04.005

[18] Islam M S ,  Liu C . Know your customer: computing k-most promising products for targeted marketing. Vldb Journal, 2016, 25(4):545-570. https://doi.org/10.1007/s00778-016-0428-3

[19] Pereira A J ,   Da Thein R . The role of transnational corporations in the international insertion of Brazilian manufactures in the context of productive restructuring. Rev.econ.polit, 2016, 36(4):769-787.

[20] Hsiao S W ,  Lin M H ,  Hsiao H H . A product manufactures scheduling method based on the grey evaluation. Journal of Advanced Mechanical Design Systems & Manufacturing, 2016, 10(1):JAMDSM0006-JAMDSM0006.

[21] Liang P ,  Feng X ,  You Q , et al. Mercury speciation, distribution, and bioaccumulation in a river catchment impacted by compact fluorescent lamp manufactures. Environmental Science & Pollution Research, 2016, 23(11):10903-10910. https://doi.org/10.1007/s11356-016-6229-9

[22] Islam M S ,  Liu C . Know your customer: computing k-most promising products for targeted marketing. Vldb Journal, 2016, 25(4):545-570. https://doi.org/10.1007/s00778-016-0428-3

[23] Becker H S . Scenarios : A Tool of Growing Importance to Policy Analysis in Government and Industry : Technological Forecasting and Social Change. Technological Forecasting & Social Change, 2017, 23(2):95-120.

[24] Parikh K ,  Fleischman W ,  Agrawal S . Industry Relationships With Pediatricians: Findings From the Open Payments Sunshine Act. Pediatrics, 2016, 137(6):e20154440-e20154440. https://doi.org/10.1542/peds.2015-4440

[25] Jiang Q ,  Feng X ,  Gong Y , et al. Reverse modelling of natural rock joints using 3D scanning and 3D printing. Computers and Geotechnics, 2016, 73(Mar.):210-220.

[26] Becker,  Randy A . Water Use and Conservation in Manufacturing: Evidence from U.S. Microdata. Water Resources Management, 2016, 30(12):4185-4200. https://doi.org/10.1007/s11269-016-1414-7

[27] Conroy T ,  Deller S ,  Tsvetkova A . Regional Business Climate and Interstate Manufacturing Relocation Decisions. Regional Science & Urban Economics, 2016, 60(sep.):155-168.

[28] Sonaglio C M ,  Campos A C ,  Braga M J . Effects of interest and exchange rate policies on Brazilian exports. Economia, 2016, 17( 1):77-95. https://doi.org/10.1016/j.econ.2016.01.002

[29] Pandor A ,  Pollard D ,  Chico T , et al. Rivaroxaban for Preventing Atherothrombotic Events in People with Acute Coronary Syndrome and Elevated Cardiac Biomarkers: An Evidence Review Group Perspective of a NICE Single Technology Appraisal. Pharmacoeconomics, 2016, 34(5):463-477. https://doi.org/10.1007/s40273-015-0351-2

[30] Zhan Q ,  Zheng W ,  Zhao B . A hybrid human and organizational analysis method for railway accidents based on HFACS-Railway Accidents (HFACS-RAs). Safety Science, 2017, 91(Complete):232-250. https://doi.org/10.1016/j.ssci.2016.08.017