Evidence map›Paper›PMID 32514916›Full record

ArticleEnvironmental science and pollution research international2020

Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint.

Veli Yilanci, Uğur Korkut Pata

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  8. Does income inequality increase the ecological footprint in the US: evidence from FARDL test?Environmental science and pollution research international · 2023
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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.

Veli YilanciFaculty of Political Sciences, Department of Econometrics, Sakarya University, Esentepe Campus, Serdivan, 54050, Sakarya, Turkey. yilanci@sakarya.edu.tr.ORCID http://orcid.org/0000-0001-5738-690X
Uğur Korkut PataFaculty of Economics and Administrative Sciences, Department of Economics, Osmaniye Korkut Ata University, 80000, Osmaniye, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This empirical study aims to test the validity of the environmental Kuznets curve (EKC) hypothesis for China within the framework of (Narayan and Narayan Energy Policy 38(1):661-666, 2010) approach. To this end, the study employs a recently developed Fourier ARDL procedure and time-varying causality test over the period 1965-2016 to analyze the short- and long-term relationships between economic growth, economic complexity index, energy consumption, and ecological footprint. The findings of the Fourier ARDL procedure confirm the existence of cointegration among the series. Moreover, the results of this study demonstrate that energy consumption and ecological complexity increase ecological footprint in both the short- and long term. However, the short-term elasticity of economic growth is smaller than the long-term elasticity, implying that the EKC hypothesis is not valid for China. This finding is robust as it is confirmed by the time-varying causality test. The overall results illustrate that economic complexity has an increasing impact on ecological footprint, and economic growth is not effective to solve environmental problems in China. Therefore, the Chinese government should encourage a more environmentally friendly production process and cleaner technologies in exports to reduce environmental pollution.

Indexed as

Economic DevelopmentCarbon DioxideChinaEnvironmental PollutionCarbon DioxideBootstrap FARDLChinaEconomic complexityEconomic growthEKC hypothesisTime-varying causality

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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.