资源科学 ›› 2021, Vol. 43 ›› Issue (10): 1976-1989.doi: 10.18402/resci.2021.10.04
收稿日期:
2020-12-24
修回日期:
2021-04-15
出版日期:
2021-10-25
发布日期:
2021-12-25
通讯作者:
张海亮,男,山西介休人,教授,博士生导师,研究方向为资源与产业经济。E-mail: zhhl-20@163.com作者简介:
李璇,女,辽宁大连人,博士生,研究方向为资源与产业经济。E-mail: gstslx@126.com
基金资助:
LI Xuan(), NI Xu, ZHANG Hailiang(
)
Received:
2020-12-24
Revised:
2021-04-15
Online:
2021-10-25
Published:
2021-12-25
摘要:
经济转型升级、提高国际竞争力离不开金属资源,其重要性不言而喻。在大国博弈下,中国在金属资源产业对外直接投资中如何突破价值链“低端锁定”,成为区域乃至全球经济的引领者,带动东道国金属产业加速发展,显得至关重要。本文借助2009—2018年中国金属资源产业对外直接投资数据,考察了直接投资对本国和东道国双边金属资源产业在全球价值链中地位的影响,以及选择不同投资模式、投资区域对中国金属资源产业价值链地位提升的影响。研究结果显示:①从总体上看,对外绿地投资显著促进中国金属资源产业价值链分工地位提升。②相对于发达国家,中国对位于价值链高端的发展中国家直接投资产生的溢出效应更大。③中国金属资源产业对外直接投资促进了东道国金属资源产业在全球价值链中的地位提升,且对发展中国家的促进更加显著,实现了合作共赢的局面。本文对金属资源产业价值链升级的研究有利于探寻中国全球治理和话语权提升的应对策略,对于政府更好地精准施策具有一定的参考意义。
李璇, 倪旭, 张海亮. 金属资源产业对外直接投资对中国与东道国全球价值链地位的影响[J]. 资源科学, 2021, 43(10): 1976-1989.
LI Xuan, NI Xu, ZHANG Hailiang. Impacts of metal resource industry outward foreign direct investments on positions of China and the host countries in the global value chain[J]. Resources Science, 2021, 43(10): 1976-1989.
表2
2018年样本国家金属矿产资源出口复杂度排名
排名 | 国家 | 出口技术复杂度 | 排名 | 国家 | 出口技术复杂度 |
---|---|---|---|---|---|
1 | 澳大利亚 | 29594.74 | 18 | 韩国 | 22444.43 |
2 | 挪威 | 29098.85 | 19 | 阿根廷 | 22065.69 |
3 | 以色列 | 27327.69 | 20 | 土耳其 | 21972.09 |
4 | 加拿大 | 25330.55 | 21 | 越南 | 21814.94 |
5 | 法国 | 25231.20 | 22 | 埃及 | 21652.49 |
6 | 英国 | 25221.95 | 23 | 墨西哥 | 20984.24 |
7 | 巴西 | 25192.77 | 24 | 俄罗斯 | 20334.22 |
8 | 美国 | 24682.38 | 25 | 南非 | 19467.37 |
9 | 德国 | 24672.76 | 26 | 巴基斯坦 | 18032.22 |
10 | 新加坡 | 24232.79 | 27 | 哈萨克斯坦 | 16530.51 |
11 | 沙特 | 24096.27 | 28 | 印度尼西亚 | 15607.31 |
12 | 意大利 | 23959.74 | 29 | 秘鲁 | 11992.32 |
13 | 中国 | 23897.45 | 30 | 智利 | 10470.58 |
14 | 泰国 | 23445.08 | 31 | 老挝 | 9734.23 |
15 | 马来西亚 | 23188.64 | 32 | 缅甸 | 9576.62 |
16 | 印度 | 23047.46 | 33 | 赞比亚 | 7806.40 |
17 | 日本 | 22922.92 | 34 | 津巴布韦 | 5435.91 |
表3
变量的描述性统计
变量 | 变量符号 | 均值 | 中位数 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|---|
东道国出口技术复杂度 | aexport | 19336.53 | 20996.19 | 5789.25 | 4898.31 | 30497.88 |
中国出口技术复杂度 | caexport | 22223.57 | 22413.17 | 1510.74 | 18465.53 | 23897.45 |
中国对外直接投资/亿美元 | ofdi | 21.02 | 2.46 | 105.0 | 1.14 | 1100.0 |
中国绿地投资/亿美元 | green | 20.08 | 2.19 | 0.104 | 1.14 | 1083.0 |
中国并购投资/亿美元 | ma | 6.87 | 0.09 | 20.43 | 0.00 | 207.45 |
东道国外商直接投资/亿美元 | fdi | 336.5 | 131.0 | 612.2 | 186.7 | 5091.0 |
东道国贸易开放度 | open | 0.13 | 0.06 | 0.22 | 0.01 | 1.60 |
东道国工业劳动力规模/百万人 | lab | 21.02 | 21.74 | 5.14 | 6.88 | 29.24 |
东道国矿产资源禀赋/亿美元 | res | 39.69 | 4.67 | 63.96 | 0.00 | 362.7 |
东道国金属行业研发投入 | rd | 0.32 | 0.81 | 0.31 | 0.00 | 1.64 |
中国外商直接投资/亿美元 | cfdi | 2274 | 2420 | 501.0 | 1311.0 | 2909.0 |
中国贸易开放度 | copen | 0.47 | 0.47 | 0.06 | 0.39 | 0.55 |
中国工业劳动力规模/百万人 | clab | 29.06 | 28.99 | 0.84 | 27.80 | 30.30 |
中国矿产资源禀赋/亿美元 | cres | 565.4 | 400.0 | 399.10 | 304.0 | 1591.0 |
中国金属行业研发投入 | crd | 1.83 | 0.21 | 1.82 | 1.49 | 2.15 |
表4
投资模式影响中国金属资源产业价值链地位的回归结果
一般面板模型 | GMM模型 | |||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
lnofdi | 0.011*** | 0.001* | ||||
(4.41) | (1.50) | |||||
lngreen | 0.011*** | 0.001* | ||||
(4.63) | (1.40) | |||||
lnma | 0.000 | 0.001 | ||||
(0.45) | (0.48) | |||||
lncfdi | 0.325*** | 0.325*** | 0.331*** | 0.352*** | 0.352*** | 0.319*** |
(28.04) | (28.17) | (29.22) | (39.73) | (39.82) | (25.19) | |
clab | -0.041*** | -1.845*** | -1.959*** | -0.0465*** | -0.0467*** | -0.0591*** |
(-7.82) | (-22.07) | (-21.66) | (-10.90) | (-10.97) | (-12.94) | |
copen | -1.843*** | -0.0414*** | -0.0551*** | -1.992*** | -1.995*** | -1.935*** |
(-21.75) | (-8.04) | (-9.88) | (-37.76) | (-37.97) | (-22.79) | |
lncrd | 0.713*** | 0.717*** | 0.888*** | 0.789*** | 0.791*** | 0.931*** |
(19.93) | (20.65) | (23.28) | (21.81) | (21.96) | (14.74) | |
lncres | 0.094*** | 0.095*** | 0.104*** | 0.098*** | 0.098*** | 0.107*** |
(15.84) | (16.12) | (13.87) | (18.50) | (18.55) | (12.21) | |
常数项 | 5.609*** | 5.627*** | 6.931*** | 5.657*** | 5.660*** | 7.538*** |
(16.12) | (16.22) | (16.24) | (14.67) | (14.69) | (12.94) | |
R2 | 0.9058 | 0.9064 | 0.9018 | |||
Hausman P | 0.0001 | 0.0001 | 0.1073 | |||
Wald | 3404.99 | 3409.87 | 1686.75 |
表5
投资模式影响中国金属资源产业价值链地位的分位数回归结果
式(1) | 式(2) | |||||
---|---|---|---|---|---|---|
QREG(25) | QREG(50) | QREG(75) | QREG(25) | QREG(50) | QREG(75) | |
lnofdi | 0.006* | 0.010*** | 0.015*** | |||
(1.88) | (3.50) | (3.11) | ||||
lngreen | 0.006** | 0.010*** | 0.015*** | |||
(1.96) | (3.71) | (3.34) | ||||
lncfdi | 0.345*** | 0.328*** | 0.306*** | 0.345*** | 0.327*** | 0.304*** |
(21.46) | (23.96) | (13.46) | (21.93) | (24.75) | (13.93) | |
clab | -0.033*** | -0.040*** | -0.048*** | -0.034*** | -0.040*** | -0.049*** |
(-5.79) | (-8.26) | (-5.95) | (-6.04) | (-8.71) | (-6.30) | |
copen | -2.204*** | -1.886*** | -1.477*** | -2.215*** | -1.896*** | -1.480*** |
(-25.81) | (-20.27) | (-11.84) | (-26.71) | (-20.80) | (-12.37) | |
lncrd | 0.803*** | 0.723*** | 0.621*** | 0.809*** | 0.730*** | 0.626*** |
(15.96) | (16.17) | (8.69) | (16.64) | (17.06) | (9.23) | |
lncres | 0.111*** | 0.0960*** | 0.0767*** | 0.112*** | 0.0973*** | 0.0778*** |
(16.07) | (15.02) | (7.79) | (16.47) | (15.59) | (8.14) |
表6
投资区域影响中国金属资源产业价值链地位的分样本结果
全样本 | 发达国家 | 发展中国家 | ||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
lnofdi | 0.014*** | 0.025*** | 0.021*** | |||
(4.40) | (2.91) | (4.05) | ||||
lngreen | 0.028*** | 0.023** | 0.044*** | |||
(4.89) | (2.44) | (5.58) | ||||
lnma | 0.003** | 0.003 | 0.001 | |||
(2.29) | (1.33) | (0.97) | ||||
High | 0.048 | 0.191*** | 0.110 | 0.157 | -0.190 | 0.125 |
(1.42) | (2.64) | (1.12) | (1.22) | (-1.49) | (0.73) | |
High×lnofdi | -0.004* | -0.010* | 0.016* | |||
(-1.66) | (-1.33) | (1.52) | ||||
High×lngreen | -0.014*** | -0.011* | -0.013 | |||
(-3.11) | (-1.45) | (-1.10) | ||||
High×lnma | 0.000 | -0.000 | 0.005* | |||
(0.27) | (-0.17) | (1.32) | ||||
Control | Yes | Yes | Yes | Yes | Yes | Yes |
常数项 | 5.547*** | 6.665*** | 5.350*** | 5.963*** | 5.546*** | 6.006*** |
(15.92) | (11.17) | (6.66) | (6.66) | (9.40) | (6.81) | |
R2 | 0.9071 | 0.9092 | 0.8379 | 0.8309 | 0.8304 | 0.8682 |
Hausman P | 0.0004 | 0.0000 | 0.0085 | 0.0627 | 0.0011 | 0.0003 |
表7
投资区域影响中国金属资源产业价值链地位的分位数回归结果
式(4) | 式(6) | |||||
---|---|---|---|---|---|---|
QREG(25) | QREG(50) | QREG(75) | QREG(25) | QREG(50) | QREG(75) | |
lngreen | 0.025** | 0.023*** | 0.021* | 0.044*** | 0.042*** | 0.041*** |
(2.24) | (2.90) | (1.83) | (3.13) | (4.71) | (3.72) | |
lnma | 0.003 | 0.003* | 0.003 | 0.001 | 0.002 | 0.002 |
(1.30) | (1.69) | (1.08) | (0.70) | (1.43) | (1.41) | |
High | 0.179 | 0.155 | 0.130 | 0.193 | 0.121 | 0.0563 |
(1.11) | (1.37) | (0.82) | (0.75) | (0.73) | (0.28) | |
High×lngreen | -0.014 | -0.011* | -0.008 | -0.018 | -0.013 | -0.009 |
(-1.49) | (-1.65) | (-0.83) | (-0.98) | (-1.15) | (-0.66) | |
High×lnma | 0.001 | -0.001 | -0.002 | 0.006* | 0.005** | 0.005* |
(0.23) | (-0.21) | (-0.56) | (1.56) | (2.20) | (1.61) | |
Control | Yes | Yes | Yes | Yes | Yes | Yes |
表8
中国对外直接投资对东道国金属资源产业价值链地位的影响
总样本 | 发达国家 | 发展中国家 | ||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
lnofdi | 0.012** | 0.032* | -0.002 | -0.002 | 0.030*** | 0.095*** |
(2.11) | (1.65) | (-0.65) | (-0.29) | (3.10) | (5.01) | |
lncaexport | 0.723*** | 0.451* | 0.716*** | 0.795*** | 0.556*** | -0.081 |
(9.87) | (1.77) | (10.92) | (6.23) | (4.92) | (-0.33) | |
lnfdi | 0.012** | 0.102*** | -0.002 | -0.015* | 0.015* | 0.096*** |
(2.20) | (8.29) | (-0.46) | (-1.93) | (1.92) | (5.65) | |
lab | 0.007* | 0.041*** | -0.018*** | -0.012*** | 0.009* | 0.046*** |
(1.81) | (14.67) | (-3.60) | (-5.84) | (1.84) | (13.76) | |
open | 0.023 | -0.295*** | 0.432* | -0.013 | -0.038 | -0.281** |
(0.26) | (-2.58) | (1.48) | (-0.07) | (-0.37) | (-2.38) | |
lnrd | -0.010 | 0.024* | -0.048 | -0.045* | -0.010 | -0.017 |
(-1.35) | (1.91) | (-1.53) | (-1.87) | (-1.09) | (-1.20) | |
lnres | 0.005 | -0.025*** | 0.001 | 0.004** | 0.022** | -0.051*** |
(1.18) | (-5.23) | (0.38) | (2.22) | (2.01) | (-4.35) | |
常数项 | 1.855*** | 2.229 | 3.316*** | 2.664** | 2.737*** | 7.268*** |
(2.73) | (0.89) | (5.03) | (2.04) | (2.76) | (2.96) | |
R2 | 0.5950 | 0.8745 | 0.5660 | |||
Hausman P | 0.0000 | 0.9317 | 0.0000 | |||
Wald | 813.76 | 160.42 | 1896.30 |
表9
中国对外直接投资影响东道国金属资源产业价值链地位的分位数回归结果
式(1) | 式(5) | |||||
---|---|---|---|---|---|---|
QREG(25) | QREG(50) | QREG(75) | QREG(25) | QREG(50) | QREG(75) | |
lnofdi | 0.008 | 0.012** | 0.015** | 0.024* | 0.030*** | 0.038*** |
(1.18) | (2.41) | (2.30) | (1.75) | (2.92) | (2.70) | |
lncaexport | 0.788*** | 0.715*** | 0.662*** | 0.629*** | 0.556*** | 0.476*** |
(7.90) | (10.15) | (7.34) | (4.47) | (5.16) | (3.31) | |
lnfdi | 0.0129 | 0.0120** | 0.0114 | 0.0138 | 0.0145* | 0.0152 |
(1.57) | (2.08) | (1.53) | (1.41) | (1.95) | (1.52) | |
lab | 0.011* | 0.007 | 0.004 | 0.014** | 0.009* | 0.004 |
(1.72) | (1.51) | (0.65) | (2.12) | (1.87) | (0.67) | |
open | -0.004 | 0.026 | 0.049 | -0.066 | -0.038 | -0.007 |
(-0.03) | (0.26) | (0.38) | (-0.56) | (-0.42) | (-0.06) | |
lnrd | -0.014 | -0.010 | -0.007 | -0.014 | -0.010 | -0.005 |
(-0.88) | (-0.90) | (-0.50) | (-1.03) | (-0.91) | (-0.33) | |
lnres | 0.005 | 0.005 | 0.005 | 0.024 | 0.022 | 0.018 |
(0.92) | (1.20) | (0.87) | (1.35) | (1.57) | (1.00) |
[1] | 武轶, 李颖, 陈其慎, 等. 中国矿产资源海外供应安全形势浅析[J]. 中国矿业, 2016, 25(4):6-9. |
[ Wu Y, Li Y, Chen Q S, et al. A brief research on China’s overseas mineral resources supply security[J]. China Mining Magazine, 2016, 25(4):6-9.] | |
[2] | 尹伟华. 中国制造业产品全球价值链的分解分析: 基于世界投入产出表视角[J]. 世界经济研究, 2016, (1):66-75. |
[ Yin W H. Decomposition of global value chain of Chinese manufactured products: Based on world input-output tables[J]. World Economy Studies, 2016, (1):66-75.] | |
[3] | 章韬, 卢晓菲, 沈玉良. 全球价值链嵌入位置、出口目的国与出口产品复杂度[J]. 世界经济研究, 2016, (9):29-47. |
[ Zhang T, Lu X F, Shen Y L. Value chain embedded position, export destination and export product complexity[J]. World Economy Studies, 2016, (9):29-47.] | |
[4] | 陆挺, 刘璇, 张艳飞, 等. 基于产业链分析的中国铟锗镓产业发展战略研究[J]. 资源科学, 2015, 37(5):1008-1017. |
[ Lu T, Liu X, Zhang Y F, et al. Development strategies for the Chinese indium, germanium and gallium industry based industry chain analysis[J]. Resources Science, 2015, 37(5):1008-1017.] | |
[5] | McWilliam S E, Kim J K, Mudambi R, et al. Global value chain governance: Intersections with international business[J]. Journal of World Business, 2020, DOI: 10.1016/j.jwb.2019.101067. |
[6] | Carril F, Pavlova E. Mergers and acquisitions & trade: A global value chain analysis[J]. Social Electronic Publishing, 2019, 43(3):576-614. |
[7] | Akpan M, Wanke P, Chen Z F, et al. Unveiling the endogenous relationship between technical efficiency and value creation in mergers and acquisitions in Nigeria[J]. South African Journal of Economics, 2020, 20(11):88-95. |
[8] | 谢一青, 徐灏龙, 董星. 全球价值链下跨国直接投资对区域经济的影响: 以特斯拉超级工厂进入上海为例[J]. 世界经济文汇, 2020, (4):31-46. |
[ Xie Y Q, Xu H L, Dong X. The effects of multinational entry on regional economy in global value chains: A case study of Tesla gigafactory in Shanghai[J]. World Economic Papers, 2020, (4):31-46.] | |
[9] | Rai N, Suchanek L, Bernier M. Does outward foreign investment matter for Canadian productivity? Evidence from greenfield investments[J]. Staff Working Papers, 2018, 422(1):46-53. |
[10] |
Harms P, Meon P G. Good and bad FDI: The growth effects of greenfield investment and mergers and acquisitions in developing countries[J]. Review of International Economics, 2018, 26(1):37-59.
doi: 10.1111/roie.2018.26.issue-1 |
[11] |
Arora A S, Hartley N. Emerging research themes in global value chains[J]. International Journal of Emerging Markets, 2020, 15(1):1-3.
doi: 10.1108/IJOEM-02-2020-603 |
[12] | Raza A, Azam M, Tariq M, et al. An empirical data investigation of the greenfield investment: Welfare nexus from low-income countries[J]. International Journal of Innovation, Creativity and Change, 2021, 15(8):820-835. |
[13] | 唐晓华, 高鹏. 全球价值链视角下中国制造业企业海外并购的动因与趋势分析[J]. 经济问题探索, 2019, (3):92-98. |
[ Tang X H, Gao P. An analysis on the motives and trends of overseas mergers and acquisitions of China’s manufacturing: Based on the perspective of the global value chain[J]. Inquiry into Economic Issues, 2019, (3):92-98.] | |
[14] | 肖添. 中国对外直接投资与产业价值链攀升: 基于人民币汇率波动视角[J]. 经济体制改革, 2019, (9):195-200. |
[ Xiao T. China’s outward foreign direct investment and industrial value chain claiming: The perspective of RMB exchange rate volatility[J]. Reform of Economic System, 2019, (9):195-200.] | |
[15] | 王安建, 高芯蕊. 中国能源与重要矿产资源需求展望[J]. 中国科学院院刊, 2020, 35(3):338-344. |
[ Wang A J, Gao X R. China’s energy and important mineral resources demand perspective[J]. Bulletin of Chinese Academy of Sciences, 2020, 35(3):338-344.] | |
[16] | 郭娟, 崔荣国, 闫卫东, 等. 2019年中国矿产资源形势回顾与展望[J]. 中国矿业, 2020, 29(1):1-5. |
[ Guo J, Cui R G, Yan W D, et al. Outlook and overview of mineral resources situation of China in 2019[J]. China Mining Magazine, 2020, 29(1):1-5.] | |
[17] | 朱学红, 彭婷, 谌金宇. 战略性关键金属贸易网络特征及其对产业结构升级的影响[J]. 资源科学, 2020, 42(8):1489-1503. |
[ Zhu X H, Peng T, Chen J Y. Impact of strategic and critical metals trade network characteristics on the upgrading of industrial structures[J]. Resources Science, 2020, 42(8):1489-1503.] | |
[18] |
Alcácer J, Delgado M. Spatial organization of firms and location choices through the value chain[J]. Management Science, 2016, 62(11):3213-3234.
doi: 10.1287/mnsc.2015.2308 |
[19] | 刘友金, 尹延钊, 曾小明. 中国向“一带一路”国家产业转移的互惠共生效应: 基于双边价值链升级视角的研究[J]. 经济地理, 2020, 40(10):136-146. |
[ Liu Y J, Yin Y Z, Zeng X M. Mutualism effect of China’s industrial transfer to the Belt and Road countries: Based on the perspective of bilateral value chain upgrade[J]. Economic Geography, 2020, 40(10):136-146.] | |
[20] | Pencea S. A look into the complexities of the One Belt, One Road Strategy[J]. Global Economic Observer, 2017, 5(1):142-158. |
[21] | 林柄全, 谷人旭, 王俊松. 集聚经济与基于价值链的企业区位选择: 重新发现内部集聚经济[J]. 经济地理, 2020, 40(4):56-64. |
[ Lin B Q, Gu R X, Wang J S. Agglomeration economies and location choices through the value chain: Rediscover the internal agglomeration economies[J]. Economic Geography, 2020, 42(8):56-64.] | |
[22] | 林莎, 雷井生, 杨航. 中国企业绿地投资与跨国并购的差异性研究: 来自 223 家国内企业的经验分析[J]. 管理评论, 2014, 26(9):139-148. |
[ Lin S, Lei J S, Yang H. Differences between greenfield investment and cross-border M&A: Analysis of 223 Chinese enterprises[J]. Management Review, 2014, 26(9):139-148.] | |
[23] | 余鹏翼, 曾楚宏. 全球价值链重构与中国制造业海外连续并购战略转型研究[J]. 南京社会科学, 2016, (5):16-21. |
[ Yu P Y, Zeng C H. Research on the reconstruction of global value chain and Chinese manufacturing overseal’s serial merger and acquisitions strategic transformation[J]. Nanjing Journal of Social Sciences, 2016, (5):16-21.] | |
[24] |
Blengini G A, Nuss P, Dewulf J, et al. EU methodology for critical raw materials assessment: Policy needs and proposed solutions for incremental improvements[J]. Resources Policy, 2017, 53(3):12-19.
doi: 10.1016/j.resourpol.2017.05.008 |
[25] |
Gulley A L, Nassar N T, Xun S. China, the United States, and competition for resources that enable emerging technologies[J]. Proceedings of the National Academy of Sciences, 2018, 115(16):4111-4115.
doi: 10.1073/pnas.1717152115 |
[26] | 张志原, 李论. “一带一路”倡议的扩散分析[J]. 国际政治科学, 2020, 5(1):130-160 |
[ Zhang Z Y, Li L. Proliferation analysis of the Belt and Road Initiative[J]. Quarterly Journal of International Politics, 2020, 5(1):130-160.] | |
[27] | 刘乐. “一带一路”的安全保障[J]. 国际经济评论, 2021, (2):107-128. |
[ Li L. Security measures for the Belt and Road Initiative[J]. International Economic Review, 2021, (2):107-128.] | |
[28] | Moyo S, Jha P, Yeros P. The Scramble for Land and Natural Resources in Africa[A]. Moyo S, Jha P, Yeros P. Reclaiming Africa[M]. Singapore: Springer, 2019. |
[29] | 刘爱兰, 王智烜, 黄梅波. 资源掠夺还是多因素驱动? 非正规经济视角下中国对非直接投资的动因研究[J]. 世界经济研究, 2017, (1):70-84, 136. |
[ Liu A L, Wang Z X, Huang M B. Resource plunder or multi-factor driven? A study of the motivation of Chinese outward investment to Africa with informal economy[J]. World Economy Studies, 2017, (1):70-84, 136.] | |
[30] | 姚战琪, 夏杰长. 中国对外直接投资对“一带一路”沿线国家攀升全球价值链的影响[J]. 南京大学学报(哲学·人文科学·社会科学), 2018, 55(4):35-46. |
[ Yao Z Q, Xia J C. The Effect of China’s foreign direct investment upon countries along the Belt and Road in their climbing up global value chains[J]. Journal of Nanjing University (Philosophy, Humanities and Social Sciences), 2018, 55(4):35-46.] | |
[31] | 彭澎, 李佳熠. OFDI与双边国家价值链地位的提升: 基于“一带一路”沿线国家的实证研究[J]. 产业经济研究, 2018, (6):75-88. |
[ Peng P, Li J Y. OFDI and bilateral moving up in the global value chain: An empirical study on the Belt and Road Initiative[J]. Industrial Economics Research, 2018, (6):75-88.] | |
[32] |
Hausmann R, Hwang J, Rodrik D. What you export matters[J]. Journal of Economic Growth, 2007, 12(1):1-25.
doi: 10.1007/s10887-006-9009-4 |
[33] |
Dunning J H. The eclectic (OLI) paradigm of international production: Past, present and future[J]. International Journal of the Economics of Business, 2001, 8(2):173-190.
doi: 10.1080/13571510110051441 |
[34] | 秦朵. 绿地投资、跨国并购与经济增长关系的实证研究[J]. 商业时代, 2012, (29):64-66. |
[ Qin D. An empirical study on the relationship between green space investment, cross border M&A and economic growth[J]. Journal of Commercial Economic, 2012, (29):64-66.] | |
[35] | 叶娇, 王佳林. FDI对本土技术创新的影响研究: 基于江苏省面板数据的实证[J]. 国际贸易问题, 2014, (1):131-138. |
[ Ye J, Wang J L. Effects of FDI on China’s technological innovation: An empirical test based on 2002-2011 panel data of Jiangsu Province[J]. Journal of International Trade, 2014, (1):131-138.] | |
[36] | 韩亚峰, 冯雅倩. OFDI逆向技术溢出对制造业价值链升级的影响: 基于G20国家面板数据的研究[J]. 国际商务(对外经济贸易大学学报), 2018, (6):75-85. |
[ Han Y F, Feng Y Q. The influence of reverse technology spillovers of OFDI on the value chain upgrading of manufacturing: Based on the panel data of G20 countries[J]. International Business, 2018, (6):75-85.] | |
[37] | 马述忠, 陈亚平, 刘梦恒. 对外直接投资逆向技术溢出与全球农业价值链地位提升: 基于G20国家的经验研究[J]. 国际商务研究, 2017, 38(3):5-17. |
[ Ma S Z, Chen Y P, Liu M H. Reverse technology spillover of outward foreign direct investment and the promotion of position of the agricultural global value chain: Evidence from G20[J]. International Business Research, 2017, 38(3):5-17.] | |
[38] | 吕越, 娄承蓉. 引领构建一带一路区域价值链[N/OL]. (2018-04-04) [2020-12-24]. http://www.cssn.cn/zx/bwyc/201804/t2018040 4_3897537.shtml . |
[ Lv Y, Lou C R. Lead the Construction of the Belt and Road Regional Value Chain[N/OL]. (2018-04-04) [2020-12-24]. http://www.cssn.cn/zx/bwyc/201804/t2018040 4_3897537.shtml .] |
[1] | 桑丹丹, 王元月, 丁黎黎. 中美产业部门全要素生产率比较——基于环境友好全球价值链视角[J]. 资源科学, 2022, 44(3): 570-582. |
[2] | 徐博, 杨来科, 钱志权. 全球价值链分工地位对于碳排放水平的影响[J]. 资源科学, 2020, 42(3): 527-535. |
[3] | 李存芳, 王维, 杜沈悦, 董梅. 资源产业跨区直接投资外溢效应测度与启示[J]. 资源科学, 2019, 41(4): 613-626. |
[4] | 李艳梅, 孙丽云, 牛苗苗. 再生资源产业关联及宏观经济效应分析[J]. 资源科学, 2018, 40(3): 580-588. |
[5] | 宋 怡, 吴 楠, 闫军印. 矿业城市资源产业循环经济系统的设计与优化[J]. , 2010, 32(7): 1362-1370. |
[6] | 白嘉, 杜跃平, 张会新. 陕北资源产业集群的区位熵和RIS模型分析[J]. , 2009, 31(7): 1205-1210. |
[7] | 王爱兰. 中外再生资源产业发展比较与中国的推进策略[J]. , 2006, 28(5): 108-113. |
|