Evidence map›Paper›PMID 35954615›Full record

ArticleInternational journal of environmental research and public health2022

Tax Policy and Total Factor Carbon Emission Efficiency: Evidence from China's VAT Reform.

Da Gao, Xinlin Mo, Ruochan Xiong, Zhiliang Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. The impact of the carbon trading market on urban coordinated development in China.Environmental science and pollution research international · 2024
    Article
  4. Article
  5. Can River Chief System Policy Improve Enterprises' Energy Efficiency? Evidence from China.International journal of environmental research and public health · 2023
    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

4 authors.

Da GaoSchool of Literature, Law and Economics, Wuhan University of Science and Technology, Wuhan 430070, China.ORCID 0000-0002-3078-8316
Xinlin MoSchool of Economics, Huazhong University of Science and Technology, Wuhan 430074, China.
Ruochan XiongSchool of Economics, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0003-4002-2354
Zhiliang HuangSchool of Economics, Huazhong University of Science and Technology, Wuhan 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China, the world's largest carbon emitter, urgently needs to improve its carbon emissions efficiency. This study analyzes the impact of tax policy on total factor carbon emission efficiency (TFCEE). Using the Value Added Tax (VAT) reform in China as an exogenous shock and undesirable-SBM model to measure the total factor carbon emission efficiency of 282 cities in China from 2003 to 2019, our multiple difference-in-difference (DID) estimates show that VAT reform significantly improves the TFCEE in the city level. These potential mechanisms show that VAT reform has promoted upgrading industrial structures, stimulated technological innovation, improved human capital, introduced FDI through four channels, and enhanced the TFCEE. The heterogeneity study found that VAT reform has a higher effect on promoting TFCEE in coastal and large megacities than in inland and small and medium-sized cities. This study provides a theoretical basis for policy instruments to improve energy efficiency and the environment.

Indexed as

CarbonEfficiencyCarbon DioxideChinaEconomic DevelopmentHumansIndustryPolicyCarbonCarbon Dioxidemechanismstotal factor carbon emission efficiencyValue Added Tax (VAT) reform

Identifiers

PMID35954615
PMCPMC9368189

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.