Evidence map›Paper›PMID 32946055›Full record

ArticleEnvironmental science and pollution research international2021

Impact of China's outward foreign direct investment on green total factor productivity in "Belt and Road" participating countries: a perspective of institutional distance.

Fangming Xie, Bing Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Does Chinese foreign direct investment harm CO2 emissions in the Belt and Road Economies.Environmental science and pollution research international · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Fangming XieSchool of Business, Hohai University, Nanjing, 210000, China.
Bing ZhangSchool of Business, Hohai University, Nanjing, 210000, China. hhuzhangbing@163.com.ORCID http://orcid.org/0000-0002-0432-4665

Funding

Jiangsu Province Decision Consulting Research Base Project 19SSL105
6 · The paper itself

Abstract

The "Belt and Road" must be built not only as a road to prosperity but also as a green road. However, as China's outward foreign direct investment (OFDI) in "Belt and Road" participating countries has continued to increase, "China's pollution transfer" has also been wildly rendered. This article uses data from 21 European countries participating in the "Belt and Road" Initiative from 2009 to 2018. After calculating the institutional distance between each sample country and China using the Kogut-Singh index, this article focuses on using the threshold regression model to study the relationship between China's OFDI and the host country's green total factor productivity (GTFP). The empirical results prove that China's OFDI is green rather than accompanied by pollution transfer, which can promote GTFP in countries participating in the "Belt and Road" Initiative. However, this positive effect will gradually weaken as political institutional distance and economic institutional distance increase. Moreover, the expansion of OFDI can reduce the impact of institutional distance on GTFP in "Belt and Road" participating countries. Therefore, for "Belt and Road" participating countries that differ greatly from China in terms of their institutional environment, cooperation with China should be strengthened to reduce the impact of bilateral institutional differences.

Indexed as

InternationalityInvestmentsChinaEfficiencyEuropeBelt and roadGreen total factor productivityInstitutional distanceOutward foreign direct investment

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.