Evidence map›Paper›PMID 31073836›Full record

ArticleEnvironmental science and pollution research international2019

Investigating the determinants of human development index in Pakistan: an empirical analysis.

Noor Hashim Khan, Yanbing Ju, Syed Tauseef Hassan

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. 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. Compact Urban Form and Human Development: Retest Based on Heterogeneous Effects.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. 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

3 authors.

Noor Hashim KhanSchool of Management and Economics, Beijing Institute of Technology, Beijing, 10081, China.
Yanbing JuSchool of Management and Economics, Beijing Institute of Technology, Beijing, 10081, China. juyb@bit.edu.cn.ORCID http://orcid.org/0000-0003-4188-4343
Syed Tauseef HassanSchool of Management and Economics, Beijing Institute of Technology, Beijing, 10081, China.

Funding

Humanities and Social Sciences Foundation of Ministry of Education of China 14YJA630019Natural Science Foundation of China 71873015Program for New Century Excellent Talents in University of China NCET-13-0037
6 · The paper itself

Abstract

In this modern era, the importance of information and communication technology (ICT) cannot be ignored for sustainable human development. However, Pakistan has experienced a considerable gap between ICT economic growth and human development. In this regard, this study has modeled the relationship between ICT, economic growth, and the human development index (HDI) considering urbanization, foreign direct investment (FDI), and trade for the period from 1990 to 2014. An autoregressive distributed lag (ARDL) and vector error correction model (VECM) approaches are used to analyze the data. The empirical results reveal that ICT promote human development index. Along with, economic growth has a positive and significant impact on human development. Besides, urbanization, trade, and FDI discourage human development in Pakistan. Finally, bidirectional causality is detected between the aforementioned variables. Recommendations to policymakers regarding the productive role of FDI and trade are provided.

Indexed as

Models, TheoreticalEconomic DevelopmentHumansInformation TechnologyInternationalityInvestmentsPakistanQuality of LifeRenewable EnergySocioeconomic FactorsSustainable DevelopmentUrbanizationARDLHuman development indexICTPakistan

Identifiers

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.