Evidence map›Paper›PMID 35064496›Full record

ArticleEnvironmental science and pollution research international2022

Exploring environment sensitivity to fiscal and monetary policies in China: using ecological footprints as a contemporary proxy.

Usman Saleem Yousaf, Farhan Ali, Shabib Haider Syed, Babar Aziz, Saima Sarwar

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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Usman Saleem YousafDepartment of Economics, Government College University Lahore, Punjab, 54000, Pakistan.
Farhan AliThe Center for Economic Research, Shandong University, Jinan Shandong, 250100, China. farhanalivirk@yahoo.com.
Shabib Haider SyedDepartment of Economics, Minhaj University, Lahore Punjab, Pakistan.
Babar AzizDepartment of Economics, Government College University Lahore, Punjab, 54000, Pakistan.
Saima SarwarDepartment of Economics, Government College University Lahore, Punjab, 54000, Pakistan.
Government College University, Lahore · PKMinhaj University Lahore · PKShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is a pioneer attempt using ecological footprints, the latest environment sensitivity proxy to be regressed, contributing to the scarce literature concerning one of the most burning global dilemmas of the era. For econometric analysis, fiscal and monetary tools, green energy consumption, and economic growth have been chosen as a set of regressors data spanning 1990-2020 in China facing the highest total ecological footpaths. And giving priority to the relevancy, reliability, and robustness autoregressive distributed lag (ARDL), fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) have been applied for instant and eternal sensitivities, followed by the widely used stationarity tests (augmented Dicky-Fuller and Phillips-Perron tests) and bounds test. Granger's ordeal has also noticed causal inferences. Cointegrating findings are robust across all techniques, and ARDL results remain consistent regardless of short and prolonged duration. We witness positive and statistically significant (at 10%) responsiveness of ecological footprints (EFP) to China's rapid gross domestic output (GDP) growth per capita fueled by fossil fuels (primarily coal). Contrarily, negative/inverse sensitivity to expansionary fiscal (higher government expenditures, GEx), contractionary monetary policies (higher policy rate, DR), and green energy use (REnC). Besides, EFP demonstrates statistically significant reciprocal interconnection with GDP and REnC but a unidirectional connection with DR (DR → EFP). GDP has effective collaboration with REnC and GEx whereas single-sided relationship DR as (GDP → DR). Finally, some policy choices are endorsed.

Indexed as

Carbon DioxideEconomic DevelopmentChinaPolicyRenewable EnergyReproducibility of ResultsCarbon DioxideCointegration testsEcological footprintFiscal policy instrumentMonetary policy instrumentRenewable energy consumption

Identifiers

PMID35064496
OpenAlexW4206978317

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.