Evidence map›Paper›PMID 31989501›Full record

ArticleEnvironmental science and pollution research international2020

Revisiting the role of forestry, agriculture, and renewable energy in testing environment Kuznets curve in Pakistan: evidence from Quantile ARDL approach.

Noshaba Aziz, Arshian Sharif, Ali Raza, Kong Rong

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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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  11. Unveiling the non-linear impact of sectoral output on environmental pollution in Malaysia.Environmental science and pollution research international · 2022
    Article
  12. Article
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  14. Do agriculture activities matter for environmental Kuznets curve in the Next Eleven countries?Environmental science and pollution research international · 2021
    Article
  15. Article
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  19. Does the environmental Kuznets curve reliably explain a developmental issue?Environmental science and pollution research international · 2021
    Article
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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

4 authors.

Noshaba AzizCollege of Economics and Management, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Arshian SharifOthman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia, Sintok, Malaysia.
Ali RazaSchool of Economics, Shandong University, Jinan, China.
Kong RongCollege of Economics and Management, Northwest A & F University, Yangling, 712100, Shaanxi, China. kr1996@163.com.

Funding

National science foundation of china 71773094
6 · The paper itself

Abstract

This paper assesses the Environmental Kuznets curve based on quantile behavior of the relationship between economic growth, forest area, agriculture production, renewable energy, and environmental degradation. The current literature generally used a single indicator to address environmental issues; however single indicator neither measures overall environmental conditions nor does specify that the environment issue is generally diminishing. Our study is the first one that used ecological footprint (EF) as an indicator to test environmental Kuznets curve (EKC) hypothesis for Pakistan by employing recent approach of quantile autoregressive distributed lag (QARDL) initiated by Cho et al. (J Econ 188(1):281-300, 2015). The result of this study validates the EKC hypothesis for Pakistan and shows quantile-dependent relationship, and in that case, using the conventional methods may somewhat lead to biased results. Moreover, the rejection of the null hypothesis of parameter constancy is also confirmed by Wald test. In the long run, the findings of renewable energy consumption and forest area show significant negative effects on ecological footprints, which indicates that by increasing renewable energy usage and forest area, ecological footprints can be minimized. Interestingly, the short-term effects of agricultural production findings on EF show statistically negative results. This illustrates that EF can also be reduced in the agriculture sector by adopting environment-friendly technologies. In order to create efficient policies for environment deterioration, the empirical findings of the current analysis can be used as a guideline for policy implications.

Indexed as

ForestryAgricultureCarbon DioxideEconomic DevelopmentPakistanRenewable EnergyCarbon DioxideAgricultureEcological footprintEnvironmental Kuznets curveForestryRenewable energy

Identifiers

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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.