Toward a sustainable future:Examining the interconnectedness among Foreign Direct Investment(FDI),urbanization,trade openness,economic growth,and energy usage in Australia

The energy demand in Australia is increasing with the industrialization and rapid economic growth.This study analyzed the relationships among the economic growth,Foreign Direct Investment(FDI),trade openness,urbanization,and energy usage in Australia based on the data from World Development Indicators(WDI)from 1972 to 2021.The results indicates that there is a cointegration among economic growth,FDI,trade openness,urbanization,and energy usage,which was traced through the autoregressivedistributed lag(ARDL).The Zivot-Andrews unit root test reveals that energy usage,economic growth,FDI,urbanization,and trade openness show significant structural breaks in 1993,1996,1982,2008,and 1994,respectively.The ARDL model shows that economic growth has a positive and significant effect on energy usage in the long-run(0.814)and short-run(0.809).Moreover,the results also show that FDI(0.028)and trade openness(0.043)have positive impacts on energy usage in the long-run.However,urbanization shows a negative and significant influence on energy usage in the long-run(–0.965).Then,the research demonstrates a unidirectional causation between energy usage and trade openness,with energy usage significantly causing trade openness.The current study endorses energy consumption policies and investment strategies for a paradigm shifting from a reliance on fossil fuels as the primary energy source to renewable energy sources.These findings have profound implications for sustainable energy usage.

The Effect of Foreign Direct Investment on Air Pollution in the Economic Community of West African States region: What Influence Does Tax Expenditure Have?

Air pollution is one of the crucial environmental challenges facing the countries of the Economic Community of West African States (ECOWAS). The objective of this paper is to examine the effect of an attractive tax policy on the relationship between Foreign Direct Investment (FDI) and air pollution in ECOWAS region over the period 2000 to 2019. By using the Ordinary Least Squares (OLS) method and panel data analyses (fixed effects and random effects), the results show that, in general, FDI does not have a significant effect on air pollution in the region. However, closer analysis reveals that an interaction between FDI and an attractive tax policy has a negative effect on air quality, leading to an increase in air pollution. Thus, companies attracted by tax incentives may not meet rigorous environmental standards. These results highlight the importance for policymakers to balance economic incentives with environmental protection in ECOWAS. Attractive tax policies can stimulate investment, but they must be designed in a way that encourages environmentally friendly practices, thereby helping to improve air quality in the region.

A Panel Data Analysis of the Impact of Chinese Foreign Direct Investment (FDI), Remittances and Foreign Aid on Human Capital Growth and Brain Drain in Africa

The main purpose of this research was to analyze the impact the Chinese foreign direct investment (FDI), remittances, and foreign aid have had to human capital growth (HCG) and brain drain. The study data were collected from five African countries (Nigeria, Kenya, Ghana, South Africa, and Morocco) from 2009 to 2018. Secondary sources were used in data collection, then autoregressive distributed lag (ARDL) modeling was used in the analysis. Before modelling was done, co-integration tests and panel unit were applied. The results revealed that Chinese FDI, remittances, and foreign aid had a significant and positive impact on HCG in the long but not the short-run. Besides, remittances, Chinese FDI, and foreign aid demonstrated significant negative impacts on brain drain in the long term, not in the short term. This study makes important practical and theoretical contributions about the roles of Chinese FDI, remittances, and foreign aid in the reduction of brain drain and the growth of human capital.

文化距离、友好城市对中国OFDI的影响——基于“一带一路”沿线国家的实证研究

在共建“一带一路”高质量发展的背景下,友好城市关系与文化因素成为独具影响力的关键一环。依据交易成本理论和“外来者劣势”理论,构建了拓展的引力模型评估文化距离和友好城市影响我国OFDI的作用机理以及两者之间的互动机制。实证结果显示,文化距离对我国OFDI有抑制作用,友好城市数量的增加弱化了文化距离对OFDI的负面影响,具有正向调节作用,通过分样本检验进一步发现在文化距离较大的国家中友好城市的正向调节作用不显著,反而在文化距离较小的国家更加有效。据此,中国应推进友好城市网络建设,加强文化交流,促进中国OFDI高质量发展。

服务业进出口、OFDI和全要素生产率的动态关系研究——基于VAR模型的实证分析

研究服务业贸易、投资与服务业之间的影响关系,对提升我国服务行业国际竞争力、促进其高质量发展具有重要意义。论文使用我国2000—2021年数据,构建VAR模型对服务业进出口、服务业对外直接投资(OFDI)和全要素生产率的动态交互关系进行实证分析。研究结果显示,服务业进出口对服务业对外直接投资具有正相关关系,且长期支持效果明显;服务业进出口对OFDI、全要素生产率提升具有促进作用;在短期内,全要素生产率与OFDI之间存在双向促进作用,从长期来看则存在一定负向影响。基于实证研究结论,文中提出制定政策鼓励服务企业参与国际化竞争、发挥服务业进出口对OFDI的促进效应、提升服务企业自主创新能力等相关对策建议。

汇率风险、双边关系与中国纺织产业OFDI

纺织产业是传统制造业的典型代表,也是全球化最高的产业之一,随着中国纺织产业成为第五次国际转移的投资方,汇率风险成为纺织产业对外投资的重要风险之一。基于2015—2019年中国纺织产业对56个东道国(地区)的对外直接投资面板数据,实证分析了东道国(地区)汇率风险、双边关系对中国纺织产业对外直接投资的影响。研究结果表明:中国纺织产业对外直接投资存在汇率风险偏好特征;双边关系显著降低中国纺织产业对外直接投资的汇率风险偏好倾向;双边关系的调节效应在未与中国签订货币互换协议、非洲地区国家样本中更加显著。

政府R&D资助对OFDI逆向绿色创新的影响机制研究

应用中国分省区层面数据并采用面板门槛模型,实证考察了政府R&D资助影响OFDI逆向绿色创新的动态效应。研究发现,OFDI对国内绿色创新产生了显著的驱动效应,但这种影响呈现出明显的先负后正的“U”型动态演化特征;政府R&D资助会正向调节OFDI逆向绿色创新溢出,且存在最适宜于OFDI逆向绿色创新的政府R&D资助区间(0.366,0.428],过高或过低强度的政府R&D资助均会在一定程度上造成OFDI逆向绿色创新的红利损失;政府R&D资助调节下OFDI对绿色创新的动态影响具有显著时空异质性,即在时空维度上存在“激励效应”与“挤出效应”交替演化的鲜明特征。

Does Foreign Direct Investment Affect S0_(2) Emissions in the Yangtze River Delta?A Spatial Econometric Analysis

As the major source of air pollution,sulfur dioxide(S0_(2))emissions have become the focus of global attention.However,existing studies rarely consider spatial effects when discussing the relationship between foreign direct investment(FDI)and S0_(2) emissions.This study took the Yangtze River Delta as the research area and used the spatial panel data of 26 cities in this region for 2004-2017.The study investigated the spatial agglomeration effects and dynamics at work in FDI and S0_(2) emissions by using global and local measures of spatial autocorrelation.Then,based on regression analysis using a results of traditional ordinary least squares(OLS)model and a spatial econometric model,the spatial Durbin model(SDM)with spatial-time effects was adopted to quantify the impact of FDI on S0_(2) emissions,so as to avoid the regression results bias caused by ignoring the spatial effects.The results revealed a significant spatial autocorrelation between FDI and S0_(2) emissions,both of which displayed obvious path dependence characteristics in their geographical distribution.A series of agglomeration regions were observed on the spatial scale.The estimation results of the SDM showed that FDI inflow promoted S0_(2) emissions,which supports the pollution haven hypothesis.The findings of this study are significant in the prevention and control of air pollution in the Yangtze River Delta.

Foreign Direct Investment with Chinese Characteristics:A Middle Path Between Ownership-Location-Internalization Model and Linkage-Leverage-Learning Model

The majority of multinational enterprises(MNEs) traditionally originate from developed countries.In the last ten years,however,there has been dramatic growth in foreign direct investment(FDI) from China.It is a comparatively new phenomenon that challenges the classic FDI theories.In this paper,we review the pros and cons of two important theories,known as the Ownership-Location-Internalization(OLI) model and Linkage-Leverage-Learning(LLL) model,and use the statistical data and company case studies from China to test the plausibility of these two models.We believe that neither of them suits totally: the OLI model is quite useful for understanding FDI from China to developing economies,while the LLL model is more powerful for explaining the FDI to developed economies.We argue that the companies from China attain a very advantageous position as intermediates in the global economy.They may catch up with the first movers if they integrate OLI-led and LLL-led FDI within one firm.This combination can bring together the most advanced knowledge acquired in developed economies with the knowledge about adaptation needs and the needs for cost reduction in production as expressed in developing economies.It may also accelerate the knowledge transfer globally.We thus fill a gap in research into the geographical pattern of Chinese FDI and offer a deeper understanding of the internationalization of Chinese MNEs and revolving knowledge transfer.

Forecasting Foreign Direct Investment to Zambia: A Time Series Analysis

Three methods are considered in this paper: Simple exponential smoothing (SES), Holt-Winters exponential smoothing (HWES) and autoregressive integrated moving average (ARIMA). The best fit model was then used to forecast Zambia’s annual net foreign direct investment (FDI) inflows from 1970 to 2014. Foreign direct investment is foreign capital investment to Zambia. Throughout the paper the methods are illustrated using Zambia’s annual Net FDI inflows. A comparison of the three methods shows that the ARIMA (1, 1, 5) is the best fit model because it has the minimum error. Forecasting results give a gradual increase in annual net FDI inflows of about 44.36% by 2024. Forecasting results plays a vital role to policy makers. Decision making, coming up with good policies and suitable strategic plans, depends on accurate forecasts. Zambian FDI policy makers can use the results obtained in this study and create suitable strategic plans to promote FDI.

OFDI与区域碳排放的非线性关系——基于技术创新的门槛效应研究

随着我国外部市场的扩大和经济对外开放政策的推进,对外直接投资(OFDI)呈现出迅猛增长的趋势。然而,由于过去采用粗放式增长模式,生态环境发展不充分,且由于“双碳”目标政策的实施,碳排放已成为对环境产生重大影响的关键因素,并被纳入总排放控制体系。基于此,本文选取中国2005—2019年30个省份(西藏、港澳台地区除外)的面板数据进行分析。结果表明,在不考虑技术创新作为门槛变量的情况下,整体上我国OFDI对本地碳排放具有显著的抑制作用。然而,在引入技术创新作为门槛变量后,处于技术创新水平较高的地区通过加大OFDI带来的逆向技术溢出效应可以降低本地区碳排放水平;中等技术创新水平的地区增大OFDI反而会增加地区碳排放;较低技术创新水平的地区对外直接投资的碳减排效应则不显著,OFDI对区域碳减排效应存在门槛。文章提出建议:技术创新水平较高地区进一步加大对外开放力度,充分发挥OFDI的逆向技术溢出效应;技术创新水平较低地区扩大OFDI规模,优化调整OFDI结构,坚持绿色导向型OFDI,积极引进国外先进技术、管理经验等,缓解全球温室效应等问题。

LOCATIONAL DISTRIBUTION AND SPATIAL DIFFUSION OF FOREIGN DIRECT INVESTMENTS FROM HONGKONG AND MACAO IN MAINLAND OF CHINA

Foreign direct investments (or FDIs) have been employed since the early 1980s and they have become more and more immportant in Chinese economic development. However, the roles of FDIs are very different between regions, partly due to the different locational preference of various source countries. Some facts show that FDIs from Hongkong - Macao indicate a strong locational preference. Therefore, this paper attempts to make an empirical research on the locational preference of Hongkong - Macao’s FDIs and their spatial diffusion under the support of statistical data with regrereion analysis. In this paper, three statistical models, including the special location model, the general location model and the spatial diffusion model, are created. The results show that this kind of analysis is successful. The major conclusions are as follows. (1) The optimum location for FDIs from Hongkong - Macao lies in the coastal area, especially Guangdong, Hainan, Jiangsu, Shandong, Fujian provinces. Besides, Hubei Province is also an important radon. (2) The FDIs from HongkongMacao in China have diffused gradually from the coastal provinces to the inland regions, the northem and the metropolis and from the locations that had attracted a large number of investments to their vicinities since the 1990s. (3) The special location factors, such as the herder effect, the unique social and kinship ties are the key factors determining the special locational distribution. (4) The general location and spatial diffusion of Hongkong - Macao’s FDIs are the results of interplay of several economic factors. They are the economic scale and advantage, the growth rate, the laier force and economic extrovert etc.

REGIONAL STRUCTURE OF CAPITAL MARKET OF FOREIGN DIRECT INVESTMENT IN CHINA’S MAINLAND

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FOREIGN DIRECT INVESTMENT AND ITS IMPACT ON CHINA'S ECONOMY: A RESEARCH APPRAISAL

Foreign direct investment (FDI) and the development of the hosted nations is a major issue facing researchers in many disciplines, especially in economic geography. This paper reviews the current available literature pertaining to the impact of FDI on the economic development in China, and emphasizes four points. First, although China is the second largest of FDI recipient and one of the fastest growing nations in the world, it has not drawn enough attention of researchers on the topic. And very few publications are found specifically focusing on the economic impact of FDI. Second, many areas of the impact of FDI have remained untouched. Particularly, there are needs for further studies to address the impact of FDI on efficient use of resources and overall competitiveness of the country. Third, in the theoretical aspect, research should explore the nature of bargaining power of all participants. Finally, it is suggested to select a number of case study areas and foreign funded enterprises for in depth studies.

Impact of China’s Outward Foreign Direct Investment on Enterprise Performance

The present study seeks to address two fundamental questions.(1)Does outward foreign direct investment(OFDI)enhance enterprise performance ultimately?(2)How does this effect come about?A new dataset from the years 2011 to 2016 based on the micro-data of 88 Chinese multinational-listed enterprises was used to test research hypotheses with the mediating effect modeling approach.The study results reveal that:(1)the investment intensity has a positive influence,while investment span has a negative influence on enterprise performance;(2)the enhanced innovation capability can considerably increase the enterprise performance,while investment intensity and span both hinder the upgrading of innovation capability;and(3)the innovation capability of an enterprise plays a partial intermediary role among investment span and enterprise performance.However,there is no mediating effect between investment intensity,innovation ability,and enterprise performance.