通过经济多元化增强韧性：贸易多元化、经济活动人口及外国直接投资对亚洲各国发展的影响分析

该研究通过计量经济学方法（如扩展中位数组AMG、完全修正最小二乘法FMOLS、动态面板模型及Driscoll-Kraay标准误模型）系统分析了贸易韧性、劳动力生产率与外国直接投资对亚洲各国经济发展的影响。该分析纳入了研究对象国内部各行业间的因果关联与相互依存关系。实证数据显示，外国直接投资对贸易韧性水平产生了负面影响。 因此可以推断，外国直接投资流入某一地区会削弱其经济稳定性。相反，经济活跃人口的存在以及活跃的贸易往来则有助于增强亚洲国家的经济韧性。研究结果具有重要的政策意义，突显了制定有效贸易战略和措施的必要性，这些措施应旨在提升经济活跃人口的韧性。

1. Ajmi A.N., Bekun F.V., Onwe J.C., Habib M.D. (2025). Technological innovation, productive population, sustainability and income growth in selected Asian countries. Natural Resources Forum, 1477-8947: 12589. DOI: 10.1111/1477-8947.12589.

2. Ansari M.A., Haider S., Khan N.A. (2020). Does trade openness affects global carbon dioxide emissions: Evidence from the top CO2 emitters. Management of Environmental Quality: An International Journal, 31(1): 32-53. DOI: 10.1108/MEQ-12-2018-0205.

3. Aust V., Morais A.I., Pinto I. (2020). How does foreign direct investment contribute to Sustainable Development Goals? Evidence from African countries. Journal of Cleaner Production, 245: 118823. DOI: 10.1016/j.jclepro.2019.118823.

4. Breusch T.S., Pagan A.R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1): 239. DOI: 10.2307/2297111.

5. Burgess M.G., Carrico A.R., Gaines S.D., Peri A., Vanderheiden S. (2021). Prepare developed democracies for long-run economic slowdowns. Nature Human Behaviour, 5(12): 1608-1621. DOI: 10.1038/s41562-021-01229-y.

6. Chandran V.G.R., Tang C.F. (2013). The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies. Renewable and Sustainable Energy Reviews, 24: 445-453. DOI: 10.1016/j.rser.2013.03.054.

7. Cheng X., Ye K., Min Du A., Bao Z., Chlomou G. (2024). Dual carbon goals and renewable energy innovations. Research in International Business and Finance, 70: 102406. DOI: 10.1016/j.ribaf.2024.102406.

8. Demiral Ö., Demiral M., Aktekin‐Gök E.D. (2022). Extra‐regional trade and consumption‐based carbon dioxide emissions in the European countries: Is there a carbon leakage? Sustainable Development, 30(6): 1987-2001. DOI: 10.1002/sd.2365.

9. Driscoll J.C., Kraay A.C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80(4): 549-560.

10. Eberhardt M., Bond S. (2009). Cross-section dependence in nonstationary panel models: A novel estimator. MPRA Paper.

11. Eberhardt M., Teal F. (2010). Productivity analysis in global manufacturing production. London, Cass Business School.

12. El Khoury R., Min Du A., Nasrallah N., Marashdeh H., Atayah O.F. (2025). Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation. Research in International Business and Finance, 73: 102557. DOI: 10.1016/j.ribaf.2024.102557.

13. Feng Y., Wang X., Du W., Wu H., Wang J. (2019). Effects of environmental regulation and FDI on urban innovation in China: A spatial Durbin econometric analysis. Journal of Cleaner Production, 235: 210-224. DOI: 10.1016/j.jclepro.2019.06.184.

14. Grzebyk M., Stec M., Hejdukova P. (2023). Implementation of sustainable development goal 8 in European Union countries -

15. A measurement concept and a multivariate comparative analysis. Sustainable Development, 31(4): 2758-2769. DOI: 10.1002/sd.2545.

16. Halkos G., Gkampoura E.-C. (2021). Where do we stand on the 17 Sustainable Development Goals? An overview on progress. Economic Analysis and Policy, 70: 94-122. DOI: 10.1016/j.eap.2021.02.001.

17. He K., Ramzan M., Awosusi A.A., Ahmed Z., Ahmad M., Altuntaş M. (2021). Does globalization moderate the effect of economic complexity on CO2 emissions? Evidence from the top 10 energy transition economies. Frontiers in Environmental Science, 9: 778088.

18. Hunjra A.I., Zhao S., Goodell J.W., Liu X. (2024). Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China. Finance Research Letters, 60: 104910. DOI: 10.1016/j.frl.2023.104910.

19. Im K.S., Pesaran M.H., Shin Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1): 53-74.

20. Jayanthakumaran K., Verma R., Liu Y. (2012). CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India. Energy Policy, 42: 450-460. DOI: 10.1016/j.enpol.2011.12.010.

21. Kaika D., Zervas E. (2013). The environmental Kuznets curve (EKC) theory. Part A: Concept, causes and the CO2 emissions case. Energy Policy, 62: 1392-1402. DOI: 10.1016/j.enpol.2013.07.131.

22. Kao C., Chiang M., Chen B. (1999). International R&D spillovers: An application of estimation and inference in panel cointegration. Oxford Bulletin of Economics and Statistics, 61(S1): 691-709.

23. Li C., Sampene A.K., Agyeman F.O., Brenya R., Wiredu J. (2022). The role of green finance and energy innovation in neutralizing environmental pollution: Empirical evidence from the MINT economies. Journal of Environmental Management, 317: 115500. DOI: 10.1016/j.jenvman.2022.115500.

24. Liddle B. (2018). Consumption-based accounting and the trade-carbon emissions nexus. Energy Economics, 69: 71-78. DOI: 10.1016/j.eneco.2017.11.004.

25. Martins R.V., Santos E., Eugénio T., Morais A. (2023). Is foreign direct investment caring for sustainability? A look in African sub-Saharan countries. Sustainability Accounting, Management and Policy Journal, 14(5): 978-1001. DOI: 10.1108/SAMPJ-01-2022-0046.

26. Pao H.-T., Tsai C.-M. (2010). CO2 emissions, energy consumption and economic growth in BRIC countries. Energy Policy, 38(12): 7850-7860. DOI: 10.1016/j.enpol.2010.08.045.

27. Pata U.K., Dam M.M., Kaya F. (2022). How effective are renewable energy, tourism, trade openness, and foreign direct investment on CO2 emissions? An EKC analysis for ASEAN countries. Environmental Science and Pollution Research, 30(6): 14821-14837. DOI: 10.1007/s11356-022-23160-z.

28. Pesaran M.H. (2014). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10): 1089-1117. DOI: 10.1080/07474938.2014.956623.

29. Pesaran M.H., Schuermann T., Weiner S.M. (2004). Modeling regional interdependencies using a global error-correcting macroeconometric model. Journal of Business & Economic Statistics, 22(2): 129-162. DOI: 10.1198/073500104000000019.

30. Pesaran M.H., Ullah A., Yamagata T. (2008). A bias-adjusted LM test of error cross-section independence. Econometrics Journal, 11(1): 105-127. DOI: 10.1111/j.1368-423x.2007.00227.x.

31. Pesaran M.H., Yamagata T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1): 50-93. DOI: 10.1016/j.jeconom.2007.05.010.

32. Ren S., Yuan B., Ma X., Chen X. (2014). International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors. China Economic Review, 28: 123-134. DOI: 10.1016/j.chieco.2014.01.003.

33. Sampene A.K., Li C., Wiredu J. (2024). Environmental technology to stimulate life expectancy: A deep dive into the role of PM2. 5 and carbon emission. Environment International, 193: 109118.

34. Seker F., Ertugrul H.M., Cetin M. (2015). The impact of foreign direct investment on environmental quality: A bounds testing and causality analysis for Turkey. Renewable and Sustainable Energy Reviews, 52: 347-356. DOI: 10.1016/j.rser.2015.07.118.

35. Shahabadi A., Pouran R. (2023). Exploring the interaction of population, globalization, and institutional factors for achieving economic complexity in D8 countries. Journal of the Knowledge Economy, 15(2): 8077-8096. DOI: 10.1007/s13132-023-01223-x.

36. Shahbaz M., Nasreen S., Ahmed K., Hammoudeh S. (2017). Trade openness-carbon emissions nexus: The importance of turning points of trade openness for country panels. Energy Economics, 61: 221-232. DOI: 10.1016/j.eneco.2016.11.008.

37. Shang Y., Lian Y., Chen H., Qian F. (2023). The impacts of energy resource and tourism on green growth: Evidence from Asian economies. Resources Policy, 81: 103359.

38. Sims C.A., Stock J.H., Watson M.W. (1990). Have been. Econometrica, 58(1): 173.

39. Singh N., Kapuria C. (2022). The effect of sustainability on foreign direct investment inflows: Evidence from developing countries. Social Responsibility Journal, 18(4): 681-703. DOI: 10.1108/SRJ-08-2019-0289.

40. Solarin S.A., Al-Mulali U., Musah I., Ozturk I. (2017). Investigating the pollution haven hypothesis in Ghana: An empirical investigation. Energy, 124: 706-719. DOI: 10.1016/j.energy.2017.02.089.

41. Sun Y., Wang S., Xing Z. (2023). Do international trade diversification, intellectual capital, and renewable energy transition ensure effective natural resources management in BRICST region. Resources Policy, 81: 103429. DOI: 10.1016/j.resourpol.2023.103429.

42. Tan L., Yang Z., Irfan M., Ding C.J., Hu M., Hu J. (2024). Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring. Business Strategy and the Environment, 33(3): 2159-2172. DOI: 10.1002/bse.3584.

43. Tang J., Jiang Y. (2024). Natural resources-environment dilemma: The context of foreign direct investment and international trade. Resources Policy, 89: 104597. DOI: 10.1016/j.resourpol.2023.104597.

44. Taylor M.S. (2005). Unbundling the Pollution Haven Hypothesis. Advances in Economic Analysis & Policy, 4(2). DOI: 10.2202/1538-0637.1408.

45. Voumik L.C., Rahman M.H., Nafi S.M., Hossain M.A., Ridzuan A.R., Mohamed Yusoff N.Y. (2023). Modelling sustainable non-renewable and renewable energy based on the EKC hypothesis for Africa’s ten most popular tourist destinations. Sustainability, 15(5): 4029.

46. Wang Q., Zhang F., Li R. (2023). Revisiting the environmental Kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent. Environmental Research, 216: 114637. DOI: 10.1016/j.envres.2022.114637.

47. Wang Q., Zhang F., Li R. (2024). Free trade and carbon emissions revisited: The asymmetric impacts of trade diversification and trade openness. Sustainable Development, 32(1): 876-901. DOI: 10.1002/sd.2703

48. Wang X., Luo Y. (2020). Has technological innovation capability addressed environmental pollution from the dual perspective of FDI quantity and quality? Evidence from China. Journal of Cleaner Production, 258: 120941. DOI: 10.1016/j.jclepro.2020.120941.

49. Westerlund J., Edgerton D.L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3): 185-190.

50. Xuan V.N. (2025). Relationship between GDP, FDI, renewable energy, and open innovation in Germany: New insights from ARDL method. Environmental and Sustainability Indicators, 25: 100592. DOI: 10.1016/j.indic.2025.100592.

51. Yang L., Wang Y., Wang R., Klemeš J.J., Almeida C.M.V.B.D., Jin M., Zheng X., Qiao Y. (2020). Environmental-social-economic footprints of consumption and trade in the Asia-Pacific region. Nature Communications, 11(1): 4490. DOI: 10.1038/s41467-020-18338-3.

52. Yun J.J., Zhao X., Jeong E., Ahn H., Park K. (2024). Micro open innovation dynamics under inter-rationality. Technological Forecasting and Social Change, 201: 123263. DOI: 10.1016/j.techfore.2024.123263.

53. Zahonogo P. (2017). Trade and economic growth in developing countries: Evidence from sub-Saharan Africa. Journal of African Trade, 3(1-2): 41. DOI: 10.1016/j.joat.2017.02.001.

54. Zhong Z., Guo Z., Zhang J. (2021). Does the participation in global value chains promote interregional carbon emissions transferring via trade? Evidence from 39 major economies. Technological Forecasting and Social Change, 169: 120806. DOI: 10.1016/j.techfore.2021.120806.