Sustainable development and carbon neutrality: Integrated assessment of transport transitions in India

Gupta, Dipti; Garg, Amit

doi:10.1016/j.trd.2020.102474

Cited by 69 publications

(29 citation statements)

References 24 publications

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“…India and Pakistan are the main contributors to the pollution of the environment of the region as they produce a high level of carbon dioxide (CO 2 ) [ 8 ]. There are several economic contributing factors to CE such as foreign investment, economic growth (EG), energy consumption (EC), labor force (LF), urban population (UP), inflation (INF), tourism, transport, etc., [ 9 , 10 , 11 , 12 ]. The environmental changes in this region are occurred in the form of global warming, increasing the seawater levels, variations in the pattern of rainfalls, and rising the frequency of cyclones or floods [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Carbon Emissions in the SAARC Countries with Causal Effects of FDI, Economic Growth and Other Economic Factors: Evidence from Dynamic Simultaneous Equation Models

Kong

Javeed

Sattar

2021

IJERPH

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South Asian Association for Regional Cooperation (SAARC) countries like other developing countries are the major destination for foreign investors. At the same time, these countries are facing different climate change challenges. This study aims to inspect the economic determinants of carbon emissions (CE) and dynamic causal interaction of CE with foreign direct investment (FDI), economic growth (EG), and other economic factors using panel cointegration test, dynamic ordinary least squares (DOLS) and vector error correction model (VECM) for the SAARC countries. To make the homogenous analysis, we examined the association among variables for the individual country and as a group for the period 1990 to 2016. The panel results of this study confirmed the presence of the unidirectional causal association of EG with CE. The panel results of other economic factors confirmed the causality of urban population (UP) and energy consumption (EC) with CE. Moreover, the panel results of domestic capital (DS) and inflation rate (INF) confirmed the causal association with EG. Finally, the panel results of DS revealed a causality with FDI. Based on the above results, some policy guidelines are proposed.

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Section: Introductionmentioning

confidence: 99%

Carbon Emissions in the SAARC Countries with Causal Effects of FDI, Economic Growth and Other Economic Factors: Evidence from Dynamic Simultaneous Equation Models

Kong

Javeed

Sattar

2021

IJERPH

View full text Add to dashboard Cite

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“…Moreover, India also has plans to go fully electric in the transportation sector by 2030 [111]. Currently, India has began manufacturing electric vehicles with plans to have fully electric rail network by 2024 [112]. Renewable energy is expected to rise from 27 % of total energy demand in 2014 to around 43 % by 2040 [113].…”

Section: Discussionmentioning

confidence: 99%

Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown

Tiwari¹,

Gupta²,

Chandra³

2021

Preprint

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Air pollution has a wide range of implications on agriculture, economy, road accidents, and health. In this paper, we use novel deep learning methods for short-term (multi-step-ahead) air-quality prediction in selected parts of Delhi, India. Our deep learning methods comprise of long short-term memory (LSTM) network models which also include some recent versions such as bidirectional-LSTM and encoder-decoder LSTM models. We use a multivariate time series approach that attempts to predict air quality for 10 prediction horizons covering total of 80 hours and provide a long-term (one month ahead) forecast with uncertainties quantified. Our results show that the multivariate bidirectional-LSTM model provides best predictions despite COVID-19 impact on the air-quality during full and partial lockdown periods. The effect of COVID-19 on the air quality has been significant during full lockdown; however, there was unprecedented growth of poor air quality afterwards.

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“…Decreasing transportation CO 2 emissions is a common way to achieve carbon neutrality for a country or region, however, it is not the final goal in the long run. Achieving sustainable development and carbon neutrality in transportation is the ultimate goal [46]. Realizing this target brings many benefits to human healthy life [47].…”

Section: Policy Implicationsmentioning

confidence: 99%

Decomposition and Decoupling of Transportation CO<sub>2</sub>: A Comparison of Areas with Different Economic Development in China

Zhang¹,

Chen²,

Wang³

et al. 2022

Pol. J. Environ. Stud.

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The gap between relatively developed and less developed areas in China has become more evident with economic development. However, only a few investigations have compared factors of transportation CO 2 emissions in relatively developed and less developed areas at the micro level. Factors differ for transportation CO 2 emissions between areas. To assess their differences, we select Guangdong and Guangxi provinces in China as examples. This study conducted a decoupling research between transportation CO 2 emissions and economic output based on the Logarithmic Mean Divisia Index (LMDI) decomposition and Tapio decoupling model during 2000-2017. The LMDI model successfully quantified the effects of six factors, focusing on technology-related factors, i.e., research and development (R&D) efficiency and per capita R&D expenditure. Different factors of transportation CO 2 emissions in the two provinces were then compared. Results were as follows: (1) Four decoupling states appeared in the two areas. (2) Per capita R&D expenditure was the primary contributor to increased CO 2 emissions, followed by population size. Relative to those in Guangdong, the two effects were weaker in Guangxi. (3) Energy intensity was the major inhibitor of CO 2 emissions in Guangdong, followed by R&D efficiency. The two effects can reduce CO 2 emissions in Guangxi, although the inhibitory effects were relatively small. (4) Freight transportation intensity in Guangdong increased CO 2 emissions, whereas it decreased CO 2 emissions in Guangxi due to the extremely weak inhibitory effect. Finally, the study provides valuable suggestions for the development of low-carbon transportation in different areas.

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Sustainable development and carbon neutrality: Integrated assessment of transport transitions in India

Cited by 69 publications

References 24 publications

Carbon Emissions in the SAARC Countries with Causal Effects of FDI, Economic Growth and Other Economic Factors: Evidence from Dynamic Simultaneous Equation Models

Carbon Emissions in the SAARC Countries with Causal Effects of FDI, Economic Growth and Other Economic Factors: Evidence from Dynamic Simultaneous Equation Models

Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown

Decomposition and Decoupling of Transportation CO<sub>2</sub>: A Comparison of Areas with Different Economic Development in China

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