Evidence map›Paper›PMID 31845270›Full record

ArticleEnvironmental science and pollution research international2020

Revealing heterogeneous causal links among financial development, construction industry, energy use, and environmental quality across development levels.

Munir Ahmad, Gul Jabeen, Muhammad Khizar Hayat, Rana Ejaz Ali Khan, Shoaib Qamar

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Munir AhmadSchool of Economics, Zhejiang University, Hangzhou, 310027, China. munirahmad@zju.edu.cn.ORCID http://orcid.org/0000-0002-4376-8410
Gul JabeenSchool of Economics and Management, North China Electric Power University, Beijing, 102206, China. guljabeen@ncepu.edu.cn.
Muhammad Khizar HayatDepartment of Management and Administrative Sciences, University of Sargodha Sub Campus Bhakkar, Bhakkar, Pakistan.
Rana Ejaz Ali KhanDepartment of Economics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Shoaib QamarSchool of Economics and Management, North China Electric Power University, Beijing, 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work investigates the dynamic heterogeneous causal links among financial development, construction industry, energy use, and environmental quality across the development levels, for 30 Chinese provinces during the period 2001-2016. For this purpose, a model of environmental quality has been constructed introducing the financial development and construction industry as endogenous factors. A Pedroni's cointegration is employed and found the long-run cointegrating mechanism among the variables of interest. The dynamic common correlated effects mean group approach (DCCEMGA) is adopted to estimate the impact elasticities. Moreover, for robustness check, a sensitivity analysis is conducted employing common correlated effects mean group approach (CCEMGA). The main results are first, a two-way positive causal bridge is existent between gross domestic product (GDP) and energy use, construction industry and GDP, and financial development and GDP. In terms of the contribution of the construction industry to economic performance, construction industry-driven growth acceleration impact is observed. Second, a one-way positive causal link is identified running from financial development (both the banking sector and stock market) to the construction industry and is termed as finance-driven construction promotion effect. Also, a one-sided positive causal connection is operating from financial development and construction industry to energy use and carbon dioxide emissions. Finally, a standard environmental Kuznets curve (EKC), financial development-augmented EKC, and construction industry-augmented EKC hypotheses are found valid in the whole country and eastern region of China. Based on empirics, a regional heterogeneity has been observed in terms of the degree of impact and statistical significance while comparing the regional panels. The sensitivity analysis proved the empirical results to be robust and reliable. Moreover, based on the findings, policy recommendations are documented. Graphical abstract.

Indexed as

Construction IndustryCarbon DioxideChinaCross-Sectional StudiesEconomic DevelopmentGross Domestic ProductCarbon DioxideChinaConstruction industryDynamic common correlated effects mean group approachEnergy useEnvironmental qualityFinancial development

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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.