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Does technological progress promote or prevent trade conflict? Evidence from China

    Qian Zhao Affiliation
    ; Chi-Wei Su Affiliation
    ; Adelina Dumitrescu Peculea Affiliation

Abstract

Using the bootstrap rolling-window subsample Granger causality test from China, this study analyses the influence of technological progress (TP) on trade conflict (TC). The results show that TP can both promote and prevent TC. In 2012 and 2018, TP led to more trade conflicts between China and its trading partners. This result proves the “trade-loss effect”, suggesting that TP in one country promotes TC by threatening other countries’ income. However, TP had a negative influence on TC in 2021 and 2022. This finding is consistent with the “welfare effect”, implying that TP can prevent TC by providing more high-quality and cheaper products for worldwide consumers. This study suggests that the government should adopt appropriate trade policies when encouraging TP to promote bilateral trade. Furthermore, firms should develop their own high-quality irreplaceable products through technological innovation to address TC risk.


First published online 22 March 2024

Keyword : technological progress, trade conflict, rolling-window, bootstrap

How to Cite
Zhao, Q., Su, C.-W., & Dumitrescu Peculea, A. (2024). Does technological progress promote or prevent trade conflict? Evidence from China. Technological and Economic Development of Economy, 30(5), 1256–1274. https://doi.org/10.3846/tede.2024.18691
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References

Aghion, P., Akcigit, U., Bergeaud, A., Blundell, R., & Hémous, D. (2019). Innovation and top income inequality. The Review of Economic Studies, 86(1), 1–45. https://doi.org/10.1093/restud/rdy027

Aghion, P., Bergeaud, A., Lequien, M., Melitz, M., & Zuber, T. (2021). Opposing firm-level responses to the China shock: Horizontal competition versus vertical relationships? (Working paper No. w29196). National Bureau of Economic Research. https://doi.org/10.3386/w29196

Akcigit, U., & Melitz, M. (2022). International trade and innovation (Working paper No. w29611). National Bureau of Economic Researc. https://doi.org/10.2139/ssrn.4002584

Andrews, D. W. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. https://doi.org/10.2307/2951764

Andrews, D. W., & Ploberger, W. (1994). Optimal tests when a nuisance parameter is present only under the alternative. Econometrica, 62(6), 1383–1414. https://doi.org/10.2307/2951753

Azar, G., & Ciabuschi, F. (2017), Organizational innovation, technological innovation, and export performance: The effects of innovation radicalness and extensiveness. International Business Review, 26(2), 324–336. https://doi.org/10.1016/j.ibusrev.2016.09.002

Balcilar, M., & Ozdemir, Z. A. (2013). The export-output growth nexus in Japan: A bootstrap rolling window approach. Empirical Economics, 44(2), 639–660. https://doi.org/10.1007/s00181-012-0562-8

Balcilar, M., Ozdemir, Z. A., & Arslanturk, Y. (2010). Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics, 32(6), 1398–1410. https://doi.org/10.1016/j.eneco.2010.05.015

Bernard, A. B., Redding, S. J., & Schott, P. K. (2011). Multiproduct firms and trade liberalization. The Quarterly Journal of Economics, 126(3), 1271–1318. https://doi.org/10.1093/qje/qjr021

Bustos, P. (2011). Trade liberalization, exports, and technology upgrading: Evidence on the impact of MERCOSUR on Argentinian firms. American Economic Review, 101(1), 304–340. https://doi.org/10.1257/aer.101.1.304

Cervellati, M., Naghavi, A., & Toubal, F. (2018). Trade liberalization, democratization, and technology adoption. Journal of Economic Growth, 23, 145–173. https://doi.org/10.1007/s10887-018-9155-5

Coelli, F., Moxnes, A., & Ulltveit-Moe, K. H. (2022). Better, faster, stronger: Global innovation and trade liberalisation. Review of Economics and Statistics, 104(2), 205–216. https://doi.org/10.1162/rest_a_00951

Dai, M., Liu, H., & Lin, L. (2020). How innovation impacts firms’ export survival: Does export mode matter? The World Economy, 43(1), 81–113. https://doi.org/10.1111/twec.12847

Das, R. C., & Chatterjee, T. (2021). Trade liberalization and R&D activity: Examining long-run and short-run linkages for individual and panel of leading countries and groups. Economic Change and Restructuring, 54(4), 1091–1118. https://doi.org/10.1007/s10644-020-09294-5

Deng, L., & Liu, W. (2019). Technological progress trigger trade friction with China: Based on Industrial Level. Journal of Guangdong University of Finance & Economics, 34(2), 4–16.

Dong, G., Kokko, A., & Zhou, H. (2022). Innovation and export performance of emerging market enterprises: The roles of state and foreign ownership in China. International Business Review, 31(6), 102025. https://doi.org/10.1016/j.ibusrev.2022.102025

Dorn, D., Hanson, G. H., Pisano, G., & Shu, P. (2020). Foreign competition and domestic innovation: Evidence from US patents. American Economic Review: Insights, 2(3), 357–374. https://doi.org/10.1257/aeri.20180481

Eaton, J., & Kortum, S. (2002). Technology, geography, and trade. Econometrica, 70(5), 1741–1779. https://doi.org/10.1111/1468-0262.00352

Esaku, S., & Krugell, F. W. (2020). Firm-level investment and exporting: New empirical evidence from Ghana and Tanzania. International Economic Journal, 34(1), 125–143. https://doi.org/10.1080/10168737.2019.1663440

Farrokhi, F., & Pellegrina, H. S. (2021). Trade, technology, and agricultural productivity (Working Paper, 27350). NBER.

Geng, D., & Kali, R. (2021). Trade and innovation: Unraveling a complex nexus. International Journal of Innovation Studies, 5(1), 23–34. https://doi.org/10.1016/j.ijis.2021.01.001

Grossman, G. M., & Helpman, E. (1995). Technology and trade. In Handbook of international economics: (Vol. 3, pp. 1279–1337). Elsevier. https://doi.org/10.1016/S1573-4404(05)80005-X

Hanson, B. E. (2002). Tests for parameter instability in regressions with I(1) processes. Journal of Business & Economic Statistics, 20(1), 45–59. https://doi.org/10.1198/073500102753410381

Houser, K. A. (2020). The innovation winter is coming: How the US-China trade war endangers the world. San Diego Law Review, 57(3), 549–608.

Hwang, H., Marjit, S., & Peng, C. H. (2016). Trade liberalization, technology transfer, and endogenous R&D. Oxford Economic Papers, 68(4), 1107–1119. https://doi.org/10.1093/oep/gpw034

Jabbour, L., Tao, Z., Vanino, E., & Zhang, Y. (2019). The good, the bad and the ugly: Chinese imports, European Union anti-dumping measures and firm performance. Journal of International Economics, 117, 1–20. https://doi.org/10.1016/j.jinteco.2018.12.004

Javorcik, B. (2020). Global supply chains will not be the same in the post-COVID-19 world. In R. Baldwin & S. J. Evenett (Eds.), COVID-19 and trade policy: Why turning inward won’t work (pp. 111–116). CEPR Press.

Jenkins, R. (2022). How China is reshaping the global economy: Development impacts in Africa and Latin America (2nd ed.). Oxford University Press. https://doi.org/10.1093/oso/9780192866356.001.0001

Kim, D. (2021). Measuring the impact of a trade dispute with a supply-side shock using a supply-driven input-output analysis: Korea-Japan dispute case. KDI Journal of Economic Policy, 43(1), 29–52. https://doi.org/10.23895/kdijep.2021.43.1.29

Lawrence, R. Z. (2018). Can the trading system survive US–China trade friction? China & World Economy, 26(5), 62–82. https://doi.org/10.1111/cwe.12256

Li, Y., & Li, W. (2022). Are innovative exporters vulnerable to anti-dumping investigations? Technovation, 112, 102409. https://doi.org/10.1016/j.technovation.2021.102409

Li, Y., Zhuang, X., Wang, J., & Zhang, W. (2020). Analysis of the impact of Sino-US trade friction on China’s stock market based on complex networks. The North American Journal of Economics and Finance, 52, 101185. https://doi.org/10.1016/j.najef.2020.101185

Liu, L. J., Creutzig, F., Yao, Y. F., Wei, Y. M., & Liang, Q. M. (2020). Environmental and economic impacts of trade barriers: the example of China–US trade friction. Resource and Energy Economics, 59, Article 101144. https://doi.org/10.1016/j.reseneeco.2019.101144

Melitz, M. J., & Redding, S. J. (2021). Trade and innovation (Working paper No. w28945). National Bureau of Economic Research. https://doi.org/10.3386/w28945

Miyagiwa, K., & Ohno, Y. (2007). Dumping as a signal of innovation. Journal of International Economics, 71(1), 221–240. https://doi.org/10.1016/j.jinteco.2006.01.002

Miyagiwa, K., Song, H., & Vandenbussche, H. (2016). Accounting for stylised facts about recent anti‐dumping: Retaliation and innovation. The World Economy, 39(2), 221–235. https://doi.org/10.1111/twec.12371

Niels, G. (2000). What is antidumping policy really about? Journal of Economic Surveys, 14(4), 467–492. https://doi.org/10.1111/1467-6419.00118

Nyblom, J. (1989). Testing for the constancy of parameters over time. Journal of the American Statistical Association, 84(405), 223–230. https://doi.org/10.1080/01621459.1989.10478759

Olper, A., Curzi, D., & Raimondi, V. (2017). Imported intermediate inputs and firms’ productivity growth: Evidence from the food industry. Journal of Agricultural Economics, 68(1), 280–300. https://doi.org/10.1111/1477-9552.12164

Park, S. (2020). Trade conflict between the US and China: What are the impacts on the Chinese economy? International Organisations Research Journal, 15(2), 153–168. https://doi.org/10.17323/1996-7845-2020-02-10

Paunov, C. (2016). Corruption’s asymmetric impacts on firm innovation. Journal of Development Economics, 118, 216–231. https://doi.org/10.1016/j.jdeveco.2015.07.006

Pesaran, M. H., & Timmermann, A. (2005). Small sample properties of forecasts from autoregressive models under structural breaks. Journal of Econometrics, 129(1–2), 183–217. https://doi.org/10.1016/j.jeconom.2004.09.007

Qin, M., Su, C. W., Umar, M., Lobonţ, O. R., & Manta, A. G. (2023). Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain. Economic Analysis and Policy, 77, 748–763. https://doi.org/10.1016/j.eap.2023.01.002

Samuelson, P. A. (2004). Where Ricardo and Mill rebut and confirm arguments of mainstream economists supporting globalization. Journal of Economic Perspectives, 18(3), 135–146. https://doi.org/10.1257/0895330042162403

Shi, Y., Wang, L., & Ke, J. (2021). Does the US-China trade war affect co-movements between US and Chinese stock markets? Research in International Business and Finance, 58, Article 101477. https://doi.org/10.1016/j.ribaf.2021.101477

Shin, S., & Balistreri, E. J. (2022). The other trade war: Quantifying the Korea–Japan trade dispute. Journal of Asian Economics, 79, Article 101442. https://doi.org/10.1016/j.asieco.2022.101442

Shu, P., & Steinwender, C. (2019). The impact of trade liberalisation on firm productivity and innovation. Innovation Policy and the Economy, 19(1), 39–68. https://doi.org/10.1086/699932

Shukur, G., & Mantalos, P. (1997). Tests for granger causality in integrated-cointegrated VAR systems (Working Paper). Department of Statistics, University of Lund, Sweden.

Shukur, G., & Mantalos, P. (2000). A simple investigation of the Granger-causality test in integrated cointegrated VAR systems. Journal of Applied Statistics, 27(8), 1021–1031. https://doi.org/10.1080/02664760050173346

Sims, C. A., Stock, J. H., & Watson, M. W. (1990). Inference in linear time series models with some unit roots. Econometrica: Journal of the Econometric Society, 58(1), 113–144. https://doi.org/10.2307/2938337

Slavtchev, V. (2020). Import competition and firm innovation: Evidence from German manufacturing. MICROPROD Deliverable, 3.

Song, L., Garnaut, R., Fang, C., & Johnston, L. (2017). China’s new sources of economic growth: Vol. 2. Human capital, innovation and technological change. ANU Press. https://doi.org/10.22459/CNSEG.07.2017

Su, C. W., Meng, X. L., Tao, R., & Umar, M. (2023a). Chinese consumer confidence: A catalyst for the outbound tourism expenditure? Tourism Economics. 29(3), 696–717. https://doi.org/10.1177/13548166211065250

Su, C. W., Meng, X.-L., Tao, R., & Umar, M. (2022a). Policy turmoil in China: A barrier for FDI flows? International Journal of Emerging Markets, 17(7), 1617–1634. https://doi.org/10.1108/IJOEM-03-2021-0314

Su, C. W., Pang, L., Umar, M., Lobonţ, O. R., & Moldovan, N. C. (2022b). Does gold’s hedging uncertainty aura fade away? Resources Policy, 77, Article 102726. https://doi.org/10.1016/j.resourpol.2022.102726

Su, C. W., Yuan, X., Umar, M., & Lobonţ, O. R. (2022c). Does technological innovation bring destruction or creation to the labor market? Technology in Society, 68, Article 101905. https://doi.org/10.1016/j.techsoc.2022.101905

Su, C. W., Pang, L. D., Tao, R., Shao, X., & Umar, M. (2022d). Renewable energy and technological innovation: Which one is the winner in promoting net-zero emissions? Technological Forecasting and Social Change, 182, Article 121798. https://doi.org/10.1016/j.techfore.2022.121798

Su, C. W., Xi, Y., Tao, R., & Umar, M. (2022e). Can Bitcoin be a safe haven in fear sentiment? Technological and Economic Development of Economy, 28(2), 268–289. https://doi.org/10.3846/tede.2022.15502

Su, C. W., Liu, F., Qin, M., & Chnag, T. (2023b). Is a consumer loan a catalyst for confidence? Economic Research-Ekonomska Istraživanja, 36(2), Article 2142260. https://doi.org/10.1080/1331677X.2022.2142260

Su, C. W., Liu, Y., Chang, T., & Umar, M. (2023c). Can gold hedge the risk of fear sentiments? Technological and Economic Development of Economy, 29(1), 23–44. https://doi.org/10.3846/tede.2022.17302

Su, C. W., Yuan, X., Tao, R., & Shao, X. (2022f). Time and frequency domain connectedness analysis of the energy transformation under climate policy. Technological Forecasting and Social Change, 184, Article 121978. https://doi.org/10.1016/j.techfore.2022.121978

Su, C. W., Yuan, X., Umar, M., & Chang, T. (2023d). Is presidential popularity a threat or encouragement for investors? Economic Research-Ekonomska Istraživanja, 36(2), Article 2129409. https://doi.org/10.1080/1331677X.2022.2129409

Su, C. W., Pang, L., Umar, M., & Lobonţ, O. R. (2022g). Will gold always shine amid world uncertainty? Emerging Markets Finance and Trade, 58(12), 3425–3438. https://doi.org/10.1080/1540496X.2022.2050462

Sun, T. T., Su, C. W., Mirza, N., & Umar, M. (2021). How does trade policy uncertainty affect agriculture commodity prices? Pacific-Basin Finance Journal, 66, Article 101514. https://doi.org/10.1016/j.pacfin.2021.101514

Sun, W., Yu, M., Zhang, H., & Zhang, Y. (2022). Does uncertainty of trade environment promote green technological innovation? Empirical evidence from China. Sustainability, 14(23), Article 16195. https://doi.org/10.3390/su142316195

Tao, R., Su, C. W., Naqvi, B., & Rizvi, S. K. A. (2022). Can Fintech development pave the way for a transition towards low-carbon economy: A global perspective. Technological Forecasting and Social Change, 174, Article 121278. https://doi.org/10.1016/j.techfore.2021.121278

Tian, X., Xie, S., Wang, Q., & Wang, X. (2016). Why Chinese exports face so many trade remedy actions: An empirical study based on multi‐country and multi‐industry data. China & World Economy, 24(6), 108–126. https://doi.org/10.1111/cwe.12183

Toda, H. Y., & Phillips, P. C. (1993). Vector autoregressions and causality. Econometrica, 61(6), 1367–1393. https://doi.org/10.2307/2951647

Toda, H. Y., & Phillips, P. C. (1994). Vector autoregression and causality: A theoretical overview and simulation study. Econometric Reviews, 13(2), 259–285. https://doi.org/10.1080/07474939408800286

Wang, L. (2022). China’s Huawei in the US-China Trade War in the communications sector game. In 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022) (pp. 485–497). Atlantis Press. https://doi.org/10.2991/aebmr.k.220603.078

Wang, K. H., Su, C. W., Umar, M., & Lobonţ, O. R. (2023). Oil price shocks, economic policy uncertainty, and green finance: A case of China. Technological and Economic Development of Economy, 29(2), 500–517. https://doi.org/10.3846/tede.2022.17999

Xu, Z., Zhong, X., & Zhang, Z. (2022). Does the Sino–US trade friction promote firm innovation? The role of the export grab effect. Sustainability, 14(5), Article 2709. https://doi.org/10.3390/su14052709

Yuan, X., Su, C. W., Umar, M., Shao, X., & Lobonţ, O. R. (2022). The race to zero emissions: Can renewable energy be the path to carbon neutrality? Journal of Environmental Management, 308, Article 114648. https://doi.org/10.1016/j.jenvman.2022.114648

Zeileis, A., Leisch, F., Kleiber, C., & Hornik, K. (2005). Monitoring structural change in dynamic econometric models. Journal of Applied Econometrics, 20(1), 99–121. https://doi.org/10.1002/jae.776

Zhou, D., & Chang, Y. (2019). Seven-decade structural transformation of China’s industrial economy. China Economist, 14(4), 14–39.

Zhu, Z., & Zheng, H. (2022). Analysis on the economic effect of Sino-US trade friction from the perspective of added value. Environment, Development and Sustainability, 24(1), 180–203. https://doi.org/10.1007/s10668-021-01390-4