Dataset Information

The determinants of China’s outward foreign direct investment: a vector error correction model analysis of coastal and landlocked countries

ABSTRACT: An essential objective of China’s outward foreign direct investment (OFDI) is to expand international trade and access to overseas markets to garner resources and improve transportation routes. This study identifies the determinants of China’s OFDI activities in the short and long term, focusing on 138 countries that are part of China’s Belt and Road Initiative (BRI). It is the first study to evaluate the system’s contribution of location determinants, including the four factors of economy, logistics, energy, and politics, to China’s OFDI by employing a vector error correction model with panel data from 2007 to 2019. In addition, we compare the influence of the variables in coastal and landlocked countries. Panel Granger causality and impulse response tests, variance decomposition, and forecast analysis were conducted to analyze and forecast China’ OFDI. The results show that China’s OFDI in both coastal and landlocked countries is statistically sensitive to the variables of economy, energy, logistics, and politics in host countries engaged in the BRI. It also shows that improving logistics infrastructure and the political investment environment in landlocked countries, this can positively attract China’s OFDI.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10644-022-09407-2.

SUBMITTER: Liu Y

PROVIDER: S-EPMC9076501 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Highlights • This paper studies the relationship between FDI and carbon emissions.• It considers the innovation, regulation, and efficiency levels of the host countries.• A Panel Autoregressive Distributed Lag was applied on 21 countries divided by income level, for a period from 2001 to 2017.• FDI decreases emissions in high-income countries, while increasing them in the short run in middle-income countries, which supports the Pollution Haven Hypothesis.• This paper reveals that regulatory measures seem to be less effective in reducing emissions in high-income countries. Besides bringing countries closer, the effects of globalization can help increase the production of goods and services, and foster economic growth. Foreign direct investment (FDI) is one of the processes of globalization. One aspect of globalization that has piqued the interest of economists, is the transfer of polluting industries between countries. A principal factor in this are discrepancies of environmental regulations, and these have also been instrumental in a failure to control pollution worldwide. With this impasse in mind, a Panel Autoregressive Distributed Lag was applied to evaluate the impacts of FDI on the carbon dioxide emissions of 21 countries divided by income level, for a period from 2001 to 2017. This methodology allowed the analysis of the resulting dynamics of pollution into the short-run and long-run. The characteristics of efficiency, innovation, and regulation are crucial to better understand the consequences of flows in FDI. Regulation seems to increase pollution in high-income countries, which merits further discussion. FDI decreases emissions in high-income countries, while increasing them in the short-run in middle-income countries, which supports the Pollution Haven Hypothesis. Nonetheless, the capacity of middle-income countries to absorb technology is crucial for them to benefit in the long-run. Trade openness is also highly influenced by environmental regulation in middle-income countries. Since our aim is to understand the transfer of polluting industries, an analysis of emissions from the industrial sector provided a robustness check. It also revealed that policymakers do not seem to be paying sufficient attention to innovation and controlling the environmental degradation that this sector causes.

Dataset Information

The determinants of China’s outward foreign direct investment: a vector error correction model analysis of coastal and landlocked countries

Supplementary Information

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets