<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">TI</journal-id><journal-title-group><journal-title>Technology and Investment</journal-title></journal-title-group><issn pub-type="epub">2150-4059</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ti.2018.93012</article-id><article-id pub-id-type="publisher-id">TI-86613</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Inquiry into FDI Pattern of China and the Economies along the Belt &amp; Road
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Junrong</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yuan</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Trans-Himalaya Studies Center, Leshan Normal University, Leshan, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>liujr@lsnu.edu.cn(JL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>31</day><month>07</month><year>2018</year></pub-date><volume>09</volume><issue>03</issue><fpage>161</fpage><lpage>177</lpage><history><date date-type="received"><day>24,</day>	<month>June</month>	<year>2018</year></date><date date-type="rev-recd"><day>10,</day>	<month>August</month>	<year>2018</year>	</date><date date-type="accepted"><day>13,</day>	<month>August</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This paper empirically analyzes the FDI Pattern of China and the other economies along the Belt &amp; Road Initiative. The analysis results show that 1) the mutual FDI between China and the economies along the Belt &amp; Road regions has continuously increased, and the mutual dependence of FDI continues to deepen, but there still is some imbalance existing in FDI dependence and distribution
  ;
   2) the Belt &amp; Road Initiative has its objective material basis and subjective willingness for regional FDI cooperation; 3) China and the other economies along the Belt &amp; Road Initiative, need to further utilize the complementary advantages in their industrial and economic structures for deepening the bilateral and multilateral FDI cooperation; 4) China and the countries along the Belt &amp; Road need to clear the investment barriers and achieve a win-win situation for international investment and cooperation, in order to promote the continuous deepening of the Belt &amp; Road Initiative and realize regional common prosperity.
 
</p></abstract><kwd-group><kwd>Belt &amp; Road Initiative</kwd><kwd> Direct Investment Pattern</kwd><kwd> Direct Investment Dependence</kwd><kwd> Regional Common Prosperity</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction and Previous Studies</title><p>The Belt and Road Initiative (hereinafter referred to as OBOR), a sub-region cooperation initiative, has been put forward by the Chinese government. The Initiative aims to create active economic partnership between OBOR Economies and China. OBOR, bannered with peaceful development, revives the historical and ancient Silk Road, by developing and evolving into a sub-regional community of interest, fate and responsibility with multilaterally political trust, economic integration and cultural inclusiveness. Foreign direct investment (FDI) has long been considered as the important content of financing which proves the nucleus agent driving ahead the cooperation of OBOR economies. Hence, the research on OBOR economies’ FDI pattern and FDI dependence within OBOR regions enjoys very important significance, which is the main research content of this article.</p><p>Scholars have carried out extensive research on OBOR, especially in the study of China’s direct investment in the countries along OBOR regions. The recent research of “direct investment in OBOR regions” mainly covers four aspects including evaluation of investment risk, location choice of investment, investment selection and the general investment pattern.</p><p>In the study of the investment risk, Wang Yongzhong and Li Xichen (2015) [<xref ref-type="bibr" rid="scirp.86613-ref1">1</xref>], Huang He and Starostin Nikita (2016) [<xref ref-type="bibr" rid="scirp.86613-ref2">2</xref>], Li Xiaomin and Li Chunmei (2016) [<xref ref-type="bibr" rid="scirp.86613-ref3">3</xref>], Zhou Wuqi (2015) [<xref ref-type="bibr" rid="scirp.86613-ref4">4</xref>], Nie Na (2016) [<xref ref-type="bibr" rid="scirp.86613-ref5">5</xref>], Zhao Zhou (2015) [<xref ref-type="bibr" rid="scirp.86613-ref6">6</xref>], Cui Na (2017) [<xref ref-type="bibr" rid="scirp.86613-ref7">7</xref>], Hu Wei and Sun Haokai (2016) [<xref ref-type="bibr" rid="scirp.86613-ref8">8</xref>]and others studied on China’s direct investment in the countries along OBOR regions in terms of assessing and analyzing the political risks, institutional risk and economic risk, and so on from the regional and country perspectives. Moreover, they have promoted risk identification and risk prevention measures accordingly.</p><p>In the study of location choice, Wang Peizhi, Pan Xinyi and Zhang Shuyue (2018) [<xref ref-type="bibr" rid="scirp.86613-ref9">9</xref>], Sun Qiankun (2017) [<xref ref-type="bibr" rid="scirp.86613-ref10">10</xref>], Peng Jizeng (2017) [<xref ref-type="bibr" rid="scirp.86613-ref11">11</xref>], Yang Lijun (2017) [<xref ref-type="bibr" rid="scirp.86613-ref12">12</xref>], Liu Xiaofeng, Ge Yuejing and Zhao Yabo (2017) [<xref ref-type="bibr" rid="scirp.86613-ref13">13</xref>], Sun Pengjun and Yu Peng (2016) [<xref ref-type="bibr" rid="scirp.86613-ref14">14</xref>], Li Qinchang and Xu Weicong (2017) [<xref ref-type="bibr" rid="scirp.86613-ref15">15</xref>]and others had intensive study on the location choice of China’s direct investment in countries along OBOR from theoretical and empirical perspective, which includes the principle, determinant and influence factors, and mechanism of location choice, etc.</p><p>In the study of industry selection, Li Kun (2016) [<xref ref-type="bibr" rid="scirp.86613-ref16">16</xref>], Wu Lin and Li Liqin (2015) [<xref ref-type="bibr" rid="scirp.86613-ref17">17</xref>], Zhou Guolan, Zhou Jihe, Ji Kaiwen (2017) [<xref ref-type="bibr" rid="scirp.86613-ref18">18</xref>], Li Qinchang and Xu Weicong (2017) [<xref ref-type="bibr" rid="scirp.86613-ref19">19</xref>]and other scholars had a systematic research on the influence factor, selecting orientation, and principle and strategy of industry selection of China’s direct investment in OBOR countries.</p><p>In the study of the general pattern, Ding Zhifan and Sun Genjin (2016) [<xref ref-type="bibr" rid="scirp.86613-ref20">20</xref>], Jin Fang (2016) [<xref ref-type="bibr" rid="scirp.86613-ref21">21</xref>], Dong Qin (2016) [<xref ref-type="bibr" rid="scirp.86613-ref22">22</xref>], Zheng Lei and Liu Zhigao (2015) [<xref ref-type="bibr" rid="scirp.86613-ref23">23</xref>]had a systematic study on re-layout of regional investment, promotion of direct investment, benefit sharing of international investment, and the motivations, mechanisms and measures of China’s OFDI pattern reconstruction based on OBOR.</p><p>However, these studies mentioned above have considered China’s direct investment in the countries along OBOR regions as a main research, they omitted the analyses of direct investment distribution of OBOR regions including China and the research on investment dependence between OBOR economies and China. This paper mainly analyses these omissions with exploring the feasibility and possibility of OBOR construction, which also illustrates that the direct investment cooperation of China. These countries collectively form the regional common needs with an objective towards a multilateral win-win situation.</p></sec><sec id="s2"><title>2. Data Sources and Research Region</title><p>1) The Time Period of Data</p><p>The article sets its investigation period from 2003-2014, because the availability of the China’s out-ward FDI data to other individual economy only starts in “Statistical Bulletin of China’s Outward FDI 2004” and we do think the series of 11 years in length is enough to display dynamic trends.</p><p>2) Data Sources</p><p>The total Outward FDI and Inward FDI data of all the economies are quoted from UNCTAD database. The mutual national investment data between China and OBOR Economies are collected from “Statistical Bulletin of China’s Outward FDI” over the years. Meanwhile, the data of FDI of China is from the “China Statistical Yearbook” over the years. National GDP and the GDP growth rate are from the World Bank Data.</p><p>3) Research Region</p><p>The OBOR involves wide regions where in fact is no obvious boundary of geographical areas. For simply research, besides China, this paper uses the geographic definition of OBOR of Zou Jialing (2015) [<xref ref-type="bibr" rid="scirp.86613-ref24">24</xref>], categorizing the countries along the OBOR into six regions, including 8 Economies in South Asia, 19 economies in Central and Eastern Europe, 11 economies in Southeast Asia, 5 economies in Central Asia, Russia and Mongolia, 19 economies in West Asia and Mid-East (<xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>).</p></sec><sec id="s3"><title>3. Overview of OFDI and INFDI between China and OBOR Economies</title><p>1) Dynamic Analysis of OBOR economies’ OFDI into China</p><p>Based on the statistical data of OBOR economies’ OFDI into China in 2003 to 2014 (<xref ref-type="fig" rid="fig1">Figure 1</xref>), it was observed that 11 economies in Southeast Asia have made an investment far higher than other regions. 19 economies in West Asia and Mid-East have invested slightly higher in China compared to 8 Economies in South Asia, Russia and Mongolia. 19 economies in Central and Eastern Europe and 5 economies in Central Asia also went through a downfall from period 2003-2008 to 2009-2014 with the turning-down mark of world financial crisis starting 2007. In terms of proportions (<xref ref-type="fig" rid="fig2">Figure 2</xref>) calculated in Excel 2011 software, 11 economies in Southeast Asia occupy 60% to 70%, which could be considered as the main source OFDI within OBOR Sub-region to China. Then, 19 economies in West Asia and Mid-East were the second important regions which have provided 10% - 25% direct investment in China.</p><p>In brief, 11 economies in Southeast Asia are among the dominant investors to China. 19 Economies in West Asia and Eastern Europe rank second in terms of investing in China, while the other districts have invested less in China</p><p>comparatively. It is worth mentioning that OBOR economies’ OFDI flow to China has gone down in recent years.</p><p>The statistics above largely imply that CAFTA consisting of China and ASEAN functions efficiently and geographical relation matters significantly. 19 Economies in West Asia and the Middle-East have been becoming active INFDI sources for China. It can be deduced that China would have some notable complimentary advantages, in industrial strength, production factors, market consumption and so on, as compared with Southeast Asia and West Asia and Mid-East as well. Furthermore, China is conducting an industrial structural adjustment and upgrading, which will lead to transient structural dis-adaptability, partially causing the slowing down of FDI from OBOR regions. However, with the completion of adjustment and upgrading, OBOR economies will enjoy more significant complimentary advantages with China.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref></label><caption><title> The Economies along OBOR</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Districts</th><th align="center" valign="middle" >Main Economies</th></tr></thead><tr><td align="center" valign="middle" >RUS &amp; MGL</td><td align="center" valign="middle" >Russia, Mongolia</td></tr><tr><td align="center" valign="middle" >5 Economies in Central Asia</td><td align="center" valign="middle" >Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, Turkmenistan</td></tr><tr><td align="center" valign="middle" >19 Economies in central and Eastern Europe</td><td align="center" valign="middle" >Poland, Czech, Slovakia, Hungary, Slovenia, Croatia, Bulgaria, Serbia, Montenegro, Macedonia, Bosnia and Herzegovina, Albania, Estonia, Lithuania, Latvia, Ukraine, Belarus, Moldova</td></tr><tr><td align="center" valign="middle" >19 Economies in West Asia and Mid-East</td><td align="center" valign="middle" >Turkey, Iran, Syria, Iraq, the United Arab Emirates, Saudi Arabia, Bahrain, Qatar, Kuwait, Lebanon, Oman, Yemen, Jordan, Israel, Palestine, Azerbaijan, Georgia, AMI Leah, Egypt</td></tr><tr><td align="center" valign="middle" >8 Economies in South Asia</td><td align="center" valign="middle" >India, Pakistan, Bangladesh, Afghanistan, Nepal, Bhutan, Sri Lanka, Maldives</td></tr><tr><td align="center" valign="middle" >11 Economies in Southeast Asia</td><td align="center" valign="middle" >Vietnam, Laos, Kampuchea, Thailand, Malaysia, Singapore, Indonesia, Brunei, Philippines, Burma, East Timor</td></tr></tbody></table></table-wrap><p>2) Dynamic Analysis on China’s Direct Investment in OBOR Economies</p><p>Based on the calculation in Excel 2011 software (the same in following calculations), the 11 economies in Southeast Asia attracted 40% to 50% of FDI stocks from China with the fastest growth, while China’s direct investment went up slowly in other regions but increased yearly, which all accounts for 10% to 15% with 19 economies in Central and Eastern Europe excluded (<xref ref-type="fig" rid="fig3">Figure 3</xref>, <xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>It was easily observed that 11 economies in Southeast Asia obtain much higher flows of direct investment from China than other Countries (<xref ref-type="fig" rid="fig5">Figure 5</xref>, <xref ref-type="fig" rid="fig6">Figure 6</xref>). China accounts for 50% - 60% of total FDI in this region since the international financial crisis happened in 2008. Besides, China also provided 10% to 15% direct investment in all other four regions except 19 economies in Central and Eastern Europe.</p><p>Broadly speaking, the general trend of China’s OFDI flow to OBOR has proven to be an upward trend. And Southeast Asia has emerged as the dominant taking-in area for China’s OFDI. While other districts, such as the 8 Economies in South Asia and 19 Economies in West Asia and Middle-East, were becoming hot investment destination for China. At large, economies along OBOR also provide an opportunity for China’s direct investment, based on notable complimentary advantages along OBOR. And the CAFTA is well operational for Sino-ASEAN cooperation economically. The statistics shows that 8 economies in South Asia and 19 Economies in West Asia and Mid-East have been becoming favourable OFDI destination for China.</p><p>3) Static Analysis on FDI between OBOR economies and China</p><p>In 2014, the flows and stocks of China’s investment reached in 12.91 billion USD and 89.79 billion USD respectively. In terms of the flows (<xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref>), 11 economies in Southeast Asia takes the largest share at 60.53%, followed by 19 economies in West Asia and Mid-East and 8 Economies in South Asia with share of 12.83% and 11.73% respectively. The 19 economies in Central and Eastern Europe only obtain the smallest percentage of 1.85%.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref></label><caption><title> The Mutual Direct Investment between OBOR Economies and China (2014)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Districts</th><th align="center" valign="middle"  colspan="3"  >China’s OFDI to and INFDI from OBOR</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >China OFDI-Flow to OBOR</td><td align="center" valign="middle" >China OFDI-Stock to OBOR</td><td align="center" valign="middle" >OBOR OFDI-Stock to China</td></tr><tr><td align="center" valign="middle" >8 Economies in South Asia</td><td align="center" valign="middle" >11.73%</td><td align="center" valign="middle" >9.27%</td><td align="center" valign="middle" >9.22%</td></tr><tr><td align="center" valign="middle" >19 Economies in central and Eastern Europe</td><td align="center" valign="middle" >1.85%</td><td align="center" valign="middle" >1.88%</td><td align="center" valign="middle" >5.20%</td></tr><tr><td align="center" valign="middle" >11 Economies in Southeast Asia</td><td align="center" valign="middle" >60.53%</td><td align="center" valign="middle" >53.07%</td><td align="center" valign="middle" >63.67%</td></tr><tr><td align="center" valign="middle" >5 Economies in Central Asia</td><td align="center" valign="middle" >4.26%</td><td align="center" valign="middle" >11.24%</td><td align="center" valign="middle" >1.78%</td></tr><tr><td align="center" valign="middle" >RUS &amp; MGL</td><td align="center" valign="middle" >8.80%</td><td align="center" valign="middle" >13.87%</td><td align="center" valign="middle" >4.97%</td></tr><tr><td align="center" valign="middle" >19 Economies in West Asia and Mid-East</td><td align="center" valign="middle" >12.83%</td><td align="center" valign="middle" >10.67%</td><td align="center" valign="middle" >15.15%</td></tr></tbody></table></table-wrap><p>Data Source: Calculated based on the original data from “Statistical Bulletin of China’s Outward FDI” and UNCTAD.</p><p>In terms of stocks (<xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref>), the 11 economies in Southeast Asia occupy 53.07%, followed by Russia and Mongolia, 5 economies in Central Asia, 19 economies in West Asia and Mid-East with accounting for 13.87%, 11.24% and 10.67%. While 19 economies in Central and Eastern Europe takes up only 1.88%.</p><p>Regarding FDI from the OBOR into China, the FDI invested to China from 11 economies in Southeast Asia takes up 63.67%, followed by 19 economies in West Asia and the Middle-East Block with accounting for 15.15%. The 8 Economies in South Asia’s investment constitute 9.22%, while 5 economies in Central Asia only take a small share of 1.78%.</p></sec><sec id="s4"><title>4. Analysis on FDI Dependence between OBOR Economies and China</title><p>1) Methods for Investment Dependence</p><p>The Measure method of Absolute Investment Dependence</p><p>We adapt FDI share index to measure the absolute dependence of direct investment among OBOR Economies (China included). FDI share index can comprehensively reflect the influence of OFDI and INFDI, and computation equation is as follows:</p><p>D i j = ( x i j + x j i + φ i j + φ j i ) &#215; 100 % x i + x j + φ i + φ j (1)</p><p>In the Formula (1),</p><p>x i j refers to the total outward direct investment (OFDI) of country i to country j</p><p>x j i refers to the total OFDI of country j to country i</p><p>φ i j refers to the total inward direct investment (INFDI)accepted by country i from country j</p><p>φ j i refers to the total INFDI accepted by country j from country i</p><p>And herein hence x i j = φ j i , x j i = φ i j .</p><p>x i and x j refer to the total OFDI of country i and country j respectively</p><p>φ i and φ j refer to the total INFDI accepted by country i and country j respectively</p><p>D i j values between [0 - 1.0], and 1.0 indicates the maximum investment dependence between the two countries i and j countries while 0 means minimum dependence.</p><p>The Measure method of Relative Investment Dependence</p><p>In fact, some scholars (Brown, 1949; Kojima, 1964; Drysdale and Garnaut, 1982; etc.) have created the concept of international trade dependence and figured out the computational formula. We apply their formula to calculate relative investment dependence between the two countries. The equation is as follows:</p><p>RD i j = x i j + x j i + φ i j + φ j i x i + x j + φ i + φ j &#215; 2 x w + 2 φ w x i + x j + φ i + φ j (2)</p><p>In the equation, x w and φ w are the world OUTFDI total amount and total INFDI.</p><p>HM Index Method</p><p>We use the HM Index (Hubness Measurement Index) constructed by Baldwin (2003) to measure the investment dependence between the routes of the OBOR and China. The Index calculation equation is as follows:</p><p>H M j = φ i j φ j &#215; ( 1 − x i j x i ) (3)</p><p>In the equation:</p><p>x i j refers to the total direct investment from country i into country j</p><p>x i refers to the total FDI of country i</p><p>φ i j refers to the total direct investment accepted by country i from country j in the routes</p><p>φ j refers to the total FDI of country j in the routes</p><p>Here, HM measures the level of country i’s investment dependence on country j. HM takes range of values between 0 and 1. It denotes that the bigger HM is, the higher the level of country i’s investment dependence on country j is and vice versa.</p><p>2) Absolute Investment Dependence of FDI between OBOR Economies and China</p><p>Based on the Equation (1), we can calculate the absolute investment dependence of FDI between China and OBOR Economies (<xref ref-type="table" rid="table">Table </xref>A1). Calculated results indicate a general upward trend and an increasing absolute investment dependence, especially the highest level existing between China and 11 economies in Southeast Asia, followed by similar level between 8 Economies in South Asia, 19 economies in West Asia and Mid-East, and Russia and Mongolia. China and 5 economies in Central Asia have the lowest level of absolute investment dependence of FDI (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p><p>Broadly speaking, FDI interdependence between OBOR and China seems to be deepening. The majority of districts along OBOR are clearly interdependent with China. Particularly, FDI interdependence between Southeast Asia and China proves even more remarkable. <xref ref-type="fig" rid="fig7">Figure 7</xref> shows that 2003-2014 witnessed a fluctuation of the FDI interdependence between OBOR and China, inconspicuously or intensely. The implications of the FDI interdependence between OBOR and China are obvious that OBOR regions is under economic integration process, and the economic connectivity between OBOR economies and China, has proven to be more and more robust. There have been some instances of discordances existing between OBOR economies and China, which have exerted negative impacts on international economic cooperation in OBOR regions in the short run.</p><p>3) Relative FDI Dependence of China and OBOR Economies</p><p>Based on the Equation (2), we can calculate the relative investment dependence of FDI between China and OBOR Economies shown in <xref ref-type="table" rid="table">Table </xref>A2. In terms of long-term trend, calculated results indicate a general upward trend with fluctuating in relative investment dependence level, especially the highest one existed between China and 11 economies in Southeast Asia. There are similar levels of relative investment dependence between China and other Countries along the Routes, 5 economies in Central Asia (<xref ref-type="fig" rid="fig8">Figure 8</xref>).</p><p>4) China’s FDI Dependence on OBOR Economies</p><p>After analyzing the relative investment dependence of FDI between China and OBOR Economies, in order to understand precisely the level of dependence, we used HM index to calculate the one-way dependence of China on the countries or the countries on China shown in <xref ref-type="table" rid="table">Table </xref>A3.</p><p>According to the Equation (3), we can calculate the levels of China’s FDI dependence on OBOR Economies. As shown in <xref ref-type="fig" rid="fig9">Figure 9</xref>, China has the highest level of FDI dependence on the 11 economies in Southeast Asia, then on the 19 economies in West Asia and Mid-East, with comparatively low level on the other regions. The trend of China’s FDI dependence on OBOR Economies has plunged from 2003 to 2014.</p><p>To sum up, China’s FDI Dependence on OBOR shows that the trend of China’s FDI dependence on the districts along OBOR is downward. China notably depends on Southeast Asia in FDI. This shows that China has got far-reaching development economically, and the INFDI policies were under adjustment from merely accepting to screening INFDI to meet the renewed economical and industrial structure requirement. With significant economic enhancement, China’s optimizing investment climate and rising market opportunities attract multi-FDI-sources to China. And China’s economical and industrial adjustment and upgrading caused short-run partially non-adaptive effect on OFDI of OBOR to China.</p><p>5) OBOR FDI Dependence on China</p><p>According to the Equation (3), we can calculate the levels of OBOR countries’ FDI dependence on China (<xref ref-type="table" rid="table">Table </xref>A4). From 2003 to 2014, the FDI dependence of the countries on China has presented the obvious trend of rising since the global financial crisis of 2008. As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>0, except the 19 economies in Central and Eastern Europe, the five regions had had high investment dependence level on China, especially the 11 economies in Southeast Asia have reached the highest level of FDI dependence on China. During the period, 8 Economies in South Asia, 19 economies in Central and Eastern Europe, Russia and Mongolia and 19 economies in West Asia and Mid-East have had similar level of FDI on China.</p><p>The OBOR FDI Dependence on China demonstrates that OBOR FDI dependence on China shows a rising trend. Majority of districts in OBOR are apparently dependent on China. Particularly, Southeast Asia notably depends on China. Hence, as a rising economy, China has been becoming more and more important direct investment source, or OBOR economies have been being hotter and hotter DI (direct investment) destination. And OBOR economies need DI from China to promote their home economy.</p></sec><sec id="s5"><title>5. Conclusion and Discussion</title><p>1) Obvious Growing Trend of Direct Investment of OBOR Regions with China</p><p>From above analyses, it is easy to sum up that the mutual direct investment between OBOR economies and China evidently grows up, which manifests OBOR promoting economic cooperation and evident complimentary advantage.</p><p>From the data of 2003-2014, increasing direct investment of the OBOR regions with China shows that the international economic cooperation has been gradually deepening and bilateral economic cooperation has been continually strengthening. Specifically, direct investment of OBOR regions with China also suggests that these countries have complementary advantages in the industry and in the consumer market, especially larger mutual direct investment scale and quick investment growth of China with 11 countries of the Southeast Asia and 19 countries of the western Asia and the Middle East, which are the main destinations of direct investment, with complementary advantages between regional and national, industry and market. The cooperation between China with ASEAN based on CAFTA “10 + 1” is an efficient platform for promoting the complementary advantages and international investment cooperation and providing a good demonstration effect for the OBOR. And analyses result still shows OBOR collaborative mechanism needs to be desired to enhance regional DI.</p><p>2) The Enhancing Investment Interdependence Level of China and OBOR Economies</p><p>Although investment dependence has regional imbalance, from the data of 2003-2014, the investment interdependence level of China and gradually increased. To be specific, China and 11 economies in Southeast Asia has the highest direct investment dependence on each other, while it has the lowest with 19 economies in Central and Eastern European. In overall, the trend of one-way investment dependence of the OBOR Economies to China is obviously rising, other regions’ investment dependence on China is more apparent, except for the 19 economies in Central and Eastern Europe.</p><p>From the tendency of 2003-2014, China’s one-way investment dependence on OBOR is weakening. This is because of the reform and opening-up policy of China for nearly 30 years, which has comprehensive benefits of economic scale, economic structure, industrial structure, the domestic market and the policy itself, diversifying the sources of external direct investment and reducing INFDI’s dependence on a particular area. For 30 years, through a reform and opening policy, China has demonstrated a high FDI and FDI flows and scale, sharing the international investment cooperation and experience with countries along the OBOR.</p><p>In short, the FDI interdependence between OBOR economies and China is continuously strengthening. The mutual economic interdependence and mutual beneficial opportunity among the economies along OBOR have provided the objective and subjective foundation for OBOR promotion as well in their existence already.</p><p>Generally, summing-up, based on the above analysis, China and the countries along the OBOR have the foundation of the international investment cooperation. According to OBOR Initiative framework, countries in OBOR regions will benefit from the agreeable win-win and sharing cooperation in the aspects of industry cooperation, market cooperation, and financial cooperation and so on. The OBOR regional investment cooperation will optimize and promote the nations’ economic and industrial structure, and hence the people living-hood will be bettered off, and eventually lead to OBOR common prosperity with peaceful development and hence the regional peace would be warranted.</p><p>However, the coverage of Belt &amp; Road is changing with more and more economies participation into the OBOR Initiative and FDI pattern studied in the article would change. And importantly, with deepening and promotion of BRI, the FDI pattern of China and the economies along Belt &amp; Road will be optimized to the great extent, which needs further systematic researches on. The paper only provides a current scenario of the FDI pattern that manifests the subjective and objective foundation for BRI.</p></sec><sec id="s6"><title>Funding</title><p>Supported by the National Social Science Fund Project (14XJL007) of China.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Liu, J.R. and Liu, Y. (2018) Inquiry into FDI Pattern of China and the Economies along the Belt &amp; Road. Technology and Investment, 9, 161-177. https://doi.org/10.4236/ti.2018.93012</p></sec><sec id="s9"><title>Appendix</title><table-wrap id="table3" ><label><xref ref-type="table" rid="table">Table </xref>A1</label><caption><title> Absolute FDI Dependence of OBOR Economies and China</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >8 countries of southern Asia</th><th align="center" valign="middle" >19 economies in Central and Eastern Europe</th><th align="center" valign="middle" >11 economies in Southeast Asia</th><th align="center" valign="middle" >5 economies in Central Asia</th><th align="center" valign="middle" >Russia and Mongolia</th><th align="center" valign="middle" >19 economies in West Asia and Mid-East</th></tr></thead><tr><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >0.0010</td><td align="center" valign="middle" >0.0018</td><td align="center" valign="middle" >0.0190</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0022</td><td align="center" valign="middle" >0.0027</td></tr><tr><td align="center" valign="middle" >2004</td><td align="center" valign="middle" >0.0015</td><td align="center" valign="middle" >0.0025</td><td align="center" valign="middle" >0.0179</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0046</td><td align="center" valign="middle" >0.0033</td></tr><tr><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >0.0013</td><td align="center" valign="middle" >0.0018</td><td align="center" valign="middle" >0.0130</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0057</td><td align="center" valign="middle" >0.0031</td></tr><tr><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0014</td><td align="center" valign="middle" >0.0152</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0076</td><td align="center" valign="middle" >0.0040</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >0.0121</td><td align="center" valign="middle" >0.0013</td><td align="center" valign="middle" >0.0166</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0069</td><td align="center" valign="middle" >0.0039</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >0.0052</td><td align="center" valign="middle" >0.0012</td><td align="center" valign="middle" >0.0289</td><td align="center" valign="middle" >0.0079</td><td align="center" valign="middle" >0.0048</td><td align="center" valign="middle" >0.0034</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >0.0016</td><td align="center" valign="middle" >0.0009</td><td align="center" valign="middle" >0.0329</td><td align="center" valign="middle" >0.0047</td><td align="center" valign="middle" >0.0070</td><td align="center" valign="middle" >0.0079</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >0.0042</td><td align="center" valign="middle" >0.0013</td><td align="center" valign="middle" >0.0292</td><td align="center" valign="middle" >0.0057</td><td align="center" valign="middle" >0.0062</td><td align="center" valign="middle" >0.0098</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >0.0099</td><td align="center" valign="middle" >0.0019</td><td align="center" valign="middle" >0.0425</td><td align="center" valign="middle" >0.0055</td><td align="center" valign="middle" >0.0103</td><td align="center" valign="middle" >0.0095</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >0.0054</td><td align="center" valign="middle" >0.0019</td><td align="center" valign="middle" >0.0418</td><td align="center" valign="middle" >0.0408</td><td align="center" valign="middle" >0.0164</td><td align="center" valign="middle" >0.0137</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >0.0058</td><td align="center" valign="middle" >0.0017</td><td align="center" valign="middle" >0.0451</td><td align="center" valign="middle" >0.0140</td><td align="center" valign="middle" >0.0106</td><td align="center" valign="middle" >0.0153</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >0.0165</td><td align="center" valign="middle" >0.0030</td><td align="center" valign="middle" >0.0464</td><td align="center" valign="middle" >0.0071</td><td align="center" valign="middle" >0.0100</td><td align="center" valign="middle" >0.0134</td></tr></tbody></table></table-wrap><p>Data resource: Calculated according to the original data.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table">Table </xref>A2</label><caption><title> Relative Investment Dependence of FDI between China and OBOR Economies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >8 countries of southern Asia</th><th align="center" valign="middle" >19 economies in Central and Eastern Europe</th><th align="center" valign="middle" >11 economies in Southeast Asia</th><th align="center" valign="middle" >5 economies in Central Asia</th><th align="center" valign="middle" >Russia and Mongolia</th><th align="center" valign="middle" >19 economies in West Asia and Mid-East</th></tr></thead><tr><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >0.0289</td><td align="center" valign="middle" >0.0444</td><td align="center" valign="middle" >0.3909</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0567</td><td align="center" valign="middle" >0.0600</td></tr><tr><td align="center" valign="middle" >2004</td><td align="center" valign="middle" >0.0535</td><td align="center" valign="middle" >0.0683</td><td align="center" valign="middle" >0.4059</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.1377</td><td align="center" valign="middle" >0.0841</td></tr><tr><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >0.0458</td><td align="center" valign="middle" >0.0461</td><td align="center" valign="middle" >0.2779</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.1677</td><td align="center" valign="middle" >0.0674</td></tr><tr><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >0.0119</td><td align="center" valign="middle" >0.0460</td><td align="center" valign="middle" >0.4317</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.2623</td><td align="center" valign="middle" >0.1040</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >0.6051</td><td align="center" valign="middle" >0.0527</td><td align="center" valign="middle" >0.5052</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.2651</td><td align="center" valign="middle" >0.1254</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >0.1456</td><td align="center" valign="middle" >0.0306</td><td align="center" valign="middle" >0.7443</td><td align="center" valign="middle" >0.2929</td><td align="center" valign="middle" >0.1079</td><td align="center" valign="middle" >0.0693</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >0.0415</td><td align="center" valign="middle" >0.0251</td><td align="center" valign="middle" >0.6459</td><td align="center" valign="middle" >0.1468</td><td align="center" valign="middle" >0.1708</td><td align="center" valign="middle" >0.1487</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >0.1005</td><td align="center" valign="middle" >0.0301</td><td align="center" valign="middle" >0.4429</td><td align="center" valign="middle" >0.1506</td><td align="center" valign="middle" >0.1326</td><td align="center" valign="middle" >0.1778</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >0.3161</td><td align="center" valign="middle" >0.0587</td><td align="center" valign="middle" >0.8237</td><td align="center" valign="middle" >0.2041</td><td align="center" valign="middle" >0.2754</td><td align="center" valign="middle" >0.2302</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >0.1650</td><td align="center" valign="middle" >0.0502</td><td align="center" valign="middle" >0.7142</td><td align="center" valign="middle" >0.9000</td><td align="center" valign="middle" >0.4406</td><td align="center" valign="middle" >0.3168</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >0.1764</td><td align="center" valign="middle" >0.0545</td><td align="center" valign="middle" >0.6605</td><td align="center" valign="middle" >0.4749</td><td align="center" valign="middle" >0.2149</td><td align="center" valign="middle" >0.2973</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >0.4465</td><td align="center" valign="middle" >0.0841</td><td align="center" valign="middle" >0.6700</td><td align="center" valign="middle" >0.2341</td><td align="center" valign="middle" >0.2216</td><td align="center" valign="middle" >0.2605</td></tr></tbody></table></table-wrap><p>Data resource: Calculated according to the original data.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table">Table </xref>A3</label><caption><title> China’s FDI Dependence on OBOR Economies</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >8 countries of southern Asia</th><th align="center" valign="middle" >19 economies in Central and Eastern Europe</th><th align="center" valign="middle" >11 economies in Southeast Asia</th><th align="center" valign="middle" >5 economies in Central Asia</th><th align="center" valign="middle" >Russia and Mongolia</th><th align="center" valign="middle" >19 economies in West Asia and Mid-East</th></tr></thead><tr><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >0.0014</td><td align="center" valign="middle" >0.0163</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0010</td><td align="center" valign="middle" >0.0022</td></tr><tr><td align="center" valign="middle" >2004</td><td align="center" valign="middle" >0.0010</td><td align="center" valign="middle" >0.0024</td><td align="center" valign="middle" >0.0171</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0021</td><td align="center" valign="middle" >0.0027</td></tr><tr><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >0.0007</td><td align="center" valign="middle" >0.0017</td><td align="center" valign="middle" >0.0126</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0011</td><td align="center" valign="middle" >0.0022</td></tr><tr><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >0.0010</td><td align="center" valign="middle" >0.0013</td><td align="center" valign="middle" >0.0153</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0009</td><td align="center" valign="middle" >0.0026</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >0.0005</td><td align="center" valign="middle" >0.0012</td><td align="center" valign="middle" >0.0144</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0006</td><td align="center" valign="middle" >0.0034</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >0.0010</td><td align="center" valign="middle" >0.0010</td><td align="center" valign="middle" >0.0097</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >0.0006</td><td align="center" valign="middle" >0.0042</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >0.0007</td><td align="center" valign="middle" >0.0005</td><td align="center" valign="middle" >0.0108</td><td align="center" valign="middle" >0.0000</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >0.0031</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >0.0006</td><td align="center" valign="middle" >0.0007</td><td align="center" valign="middle" >0.0078</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0060</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >0.0006</td><td align="center" valign="middle" >0.0053</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >0.0014</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >0.0005</td><td align="center" valign="middle" >0.0051</td><td align="center" valign="middle" >0.1919</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >0.0020</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0059</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >0.0015</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >0.0005</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0015</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0008</td></tr></tbody></table></table-wrap><p>Data resource: Calculated according to the original data.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table">Table </xref>A4</label><caption><title> OBOR Economies’ FDI Dependence on China (Base on the World)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >8 countries of southern Asia</th><th align="center" valign="middle" >19 economies in Central and Eastern Europe</th><th align="center" valign="middle" >11 economies in Southeast Asia</th><th align="center" valign="middle" >5 economies in Central Asia</th><th align="center" valign="middle" >Russia and Mongolia</th><th align="center" valign="middle" >19 economies in West Asia and Mid-East</th></tr></thead><tr><td align="center" valign="middle" >2003</td><td align="center" valign="middle" >0.0021</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >0.0032</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0044</td><td align="center" valign="middle" >0.0006</td></tr><tr><td align="center" valign="middle" >2004</td><td align="center" valign="middle" >0.0006</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >0.0043</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0076</td><td align="center" valign="middle" >0.0011</td></tr><tr><td align="center" valign="middle" >2005</td><td align="center" valign="middle" >0.0015</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >0.0029</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0175</td><td align="center" valign="middle" >0.0016</td></tr><tr><td align="center" valign="middle" >2006</td><td align="center" valign="middle" >0.0019</td><td align="center" valign="middle" >0.0003</td><td align="center" valign="middle" >0.0046</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0141</td><td align="center" valign="middle" >0.0026</td></tr><tr><td align="center" valign="middle" >2007</td><td align="center" valign="middle" >0.0287</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >0.0105</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0122</td><td align="center" valign="middle" >0.0021</td></tr><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >0.0090</td><td align="center" valign="middle" >0.0005</td><td align="center" valign="middle" >0.0396</td><td align="center" valign="middle" >0.0375</td><td align="center" valign="middle" >0.0083</td><td align="center" valign="middle" >0.0008</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >0.0020</td><td align="center" valign="middle" >0.0008</td><td align="center" valign="middle" >0.0470</td><td align="center" valign="middle" >0.0182</td><td align="center" valign="middle" >0.0220</td><td align="center" valign="middle" >0.0079</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >0.0132</td><td align="center" valign="middle" >0.0018</td><td align="center" valign="middle" >0.0375</td><td align="center" valign="middle" >0.0334</td><td align="center" valign="middle" >0.0228</td><td align="center" valign="middle" >0.0098</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >0.0226</td><td align="center" valign="middle" >0.0022</td><td align="center" valign="middle" >0.0533</td><td align="center" valign="middle" >0.0228</td><td align="center" valign="middle" >0.0280</td><td align="center" valign="middle" >0.0155</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >0.0158</td><td align="center" valign="middle" >0.0029</td><td align="center" valign="middle" >0.0464</td><td align="center" valign="middle" >0.1919</td><td align="center" valign="middle" >0.0487</td><td align="center" valign="middle" >0.0204</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >0.0138</td><td align="center" valign="middle" >0.0044</td><td align="center" valign="middle" >0.0501</td><td align="center" valign="middle" >0.0701</td><td align="center" valign="middle" >0.0254</td><td align="center" valign="middle" >0.0290</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >0.0383</td><td align="center" valign="middle" >0.0064</td><td align="center" valign="middle" >0.0557</td><td align="center" valign="middle" >0.0400</td><td align="center" valign="middle" >0.0384</td><td align="center" valign="middle" >0.0270</td></tr></tbody></table></table-wrap><p>Data resource: Calculated according to the original data.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.86613-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Y.Z. and Li, X.C. 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