Investigating the causal relationship between transport infrastructure, economic growth and transport emissions in Pakistan

Mohmand, Yasir Tariq; Mehmood, Fahad; Mughal, Khurrum S.; Aslam, Faheem

doi:10.1016/j.retrec.2020.100972

Cited by 48 publications

(35 citation statements)

References 51 publications

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“…Among the many influencing factors of urban green economy, emission trading (Jiang et al, 2022b), technological innovation (Du et al, 2021), education (Zafar et al, 2021), infrastructure (Mohmand et al, 2020), industrial upgrading (Shao et al, 2021), and energy market reform (Jiang et al, 2020) have been proved to play an important role. In addition to the above factors, environmental regulation is considered to be the most important means of governance (Liu Y. et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Can Environmental Information Disclosure Improve Urban Green Economic Efficiency? New Evidence From the Mediating Effects Model

Lin

2022

Front. Environ. Sci.

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Environmental information disclosure is one of the important ways to realize urban sustainable development. This study explores the transmission mechanism between environmental information disclosure and urban green economic efficiency (UGEE) and solves the “black box” system between them. In this method, first, the urban green economic efficiency is calculated using the data envelopment analysis model with undesirable output. Second, the panel data model and the mediating effects model are employed to test the impact of environmental information disclosure on urban green economic efficiency and the possible mediating variables. The main conclusions of this study are as follows: 1) Environmental information disclosure significantly improves urban green economic efficiency, and reducing industrial pollutant emission and improving technological innovation are the significant transmission mechanisms. (2) There is a U-shaped curve relationship between environmental information disclosure and urban green economic efficiency and environmental information disclosure and technological innovation. On the contrary, there is an inverted U-shaped curve relationship between environmental information disclosure and industrial pollutant emission. 3) Environmental information disclosure has a greater sustainability effect in industrial cities. The conclusion shows that environmental information disclosure can improve the efficiency of urban green economy by improving the ability of urban technological innovation and reducing the emission of industrial pollutants. Environmental information disclosure plays a role of “restraining first and then promoting” to sustainable development. This research provides a reference for how to lessen information asymmetry and reduce negative externalities in the formulation of environmental regulatory policies.

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Section: Introductionmentioning

confidence: 99%

Can Environmental Information Disclosure Improve Urban Green Economic Efficiency? New Evidence From the Mediating Effects Model

Lin

2022

Front. Environ. Sci.

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“…The results are in line with the previous studies . Please see, for example Shabaz et al (2013), Munir et al (2020), Hu et al (2020, Mohmand et al (2020, Zaman and Moemen (2017, and Shahbaz et al (2016) for a detail discussion on the effects of GDP growth and energy consumption on carbon emission. The effects of GDP and per capita energy consumption on carbon emissions can be summarized as follow: CO 2 is expected to be positively related to Log GDP; without major policy interventions, improving energy efficiency alone is unlikely to cope with the negative environmental impacts attributed to economic growth.…”

Section: Lasso Regression Resultsmentioning

confidence: 99%

“…The result has confirmed that there is an asymmetric effect of per capita consumption of petroleum and natural gas on economic growth and carbon emissions per capita in all the selected countries except Algeria. Correspondingly, Mohmand et al (2020) investigated the causal relationship between transport infrastructure, economic growth, and transport emissions in Pakistan from 1971-2017. The results found a short-term causality running from transport infrastructure, economic growth, and fuel consumption to carbon emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

The Major Driving Factors of Carbon Emissions in China and Their Relative Importance: An Application of the LASSO Model

Shum

Ma²,

Lin³

et al. 2021

Front. Energy Res.

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China is one of the biggest energy consumers and carbon emitters in the world. Understanding the factors affecting carbon emissions is critical for policymakers to control the rising trend of carbon emissions. This paper investigates the relative importance of carbon emissions drivers in China. Literature review has been carried out to determine a set of predominant independent variables; the LASSO model is then introduced to rank the relative importance among the set of independent variables. The results find that 1) carbon emissions were mainly driven by economic growth and energy consumption followed by population size and industrialization; and 2) income growth slowed down carbon emissions during the studied period, but it is the least significant factor among the other factors. The ranking allows policy makers to focus on the most critical contributors to carbon emissions and gives policymakers more flexibility in determining policy interventions.

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“…Second, the other empiricists investigated these relations, given carbon emission as a positive indicator to boost economic growth and its positive relationship with infrastructure [7,28]. Third, besides the widespread studies accessible on the association between economic development, fuel usage, and carbon emissions, only a few scholars have taken the comprehensive view of logistics infrastructure and its relationship with economic development and carbon emission [10,11]. Specifically, geostrategic characteristics in analyzing the association between the logistics industry, economic development, and carbon emission have captured few collective investigations of scholars [7][8][9].…”

Section: Review Of Existing Literaturementioning

confidence: 99%

“…Existing studies have analyzed the complex interface of logistics industry, economic growth, and carbon emission from various perspectives, such as (1) investment in transport as a threat to the environment [6], (2) carbon emission leading to boost economic growth [7], and (3) geographical features in exploring such a relationship [7][8][9]. Only a few studies capture the comprehensive view of logistics infrastructure and its relationship with economic development and carbon emission [10,11].…”

Section: Introductionmentioning

confidence: 99%

A Correlative Study of Modern Logistics Industry in Developing Economy and Carbon Emission Using ARDL: A Case of Pakistan

Hanif

Alam

et al. 2022

Mathematics

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The modern logistics industry in relation to economic growth and carbon emission has opened new strategic perspectives. Recent research work have analyzed such complex interference from a broad perspective. However, analyzing this overlap needs comprehensive insight into the logistics industry while simultaneously estimating its short-run and long-run effects from regional aspects due to continue-evolving factors and their impact on it. This paper competently analyzes logistics industry components in connection with economic prosperity, energy consumption, trade development, and carbon emission from a more specific regional perspective of a developing country. Methodologically, an autoregressive distributive lag model (ARDL) is employed using correlative evaluation of the dynamic factors and their interactive impact in short and long run on this relation, based on time-series data of Pakistan from 1990 to 2019. The study results endorse the previous studies’ outcomes by recognizing that an increase in carbon emission depends on trade development, energy usage, economic development, and the logistics industry’s various components except for air logistics. However, study results show a unidirectional long-run causality directing from economic development, logistics industry, energy utilization, and trade development to carbon emission. Moreover, these results reveal that this emission is the leading factor to introduce stringent emission standards that further overlap with regional demographics trends, i.e., carbon emission implications. These findings imply that economic development applies a substantial demand-pull impact on national logistics, i.e., regional economic development directs to the growth of the logistics industry in the corresponding region. Consequently, high-income geographical regions have higher long-run risk concerning contemporary developmental activities of the logistics industry when adhering to carbon emission standards. Particularly, the influence of upcoming emission standards must be prioritized when planning the future returns of contemporary research and development activities of the logistics industry in a given geographic area, such as CPEC. Given Pakistan’s perspective, the proposed empirical analysis can be exampled to other developing countries. This analysis may facilitate the design and development of strategies for upcoming financial funding in the modern logistics industry to seek its sustainable development-goals in developing economies.

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Investigating the causal relationship between transport infrastructure, economic growth and transport emissions in Pakistan

Cited by 48 publications

References 51 publications

Can Environmental Information Disclosure Improve Urban Green Economic Efficiency? New Evidence From the Mediating Effects Model

Can Environmental Information Disclosure Improve Urban Green Economic Efficiency? New Evidence From the Mediating Effects Model

The Major Driving Factors of Carbon Emissions in China and Their Relative Importance: An Application of the LASSO Model

A Correlative Study of Modern Logistics Industry in Developing Economy and Carbon Emission Using ARDL: A Case of Pakistan

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