A linear programming input–output model for mapping low-carbon scenarios for Vietnam in 2030

Nguyen, Hoa Thi; Aviso, Kathleen B.; Le, Dien Quang; Kojima, Naoya; Tokai, Akihiro

doi:10.1016/j.spc.2018.07.004

Cited by 14 publications

(12 citation statements)

References 23 publications

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“…(2019) who formulate an LP model to support governmental decisions on budget allocation for different local sectors in Brazil, and in Nguyen et al. (2018) who formulate an LP model to evaluate the maximum reduction in greenhouse gas emission in Vietnam.…”

Section: Analytical Methodologies In Developing Countriesmentioning

confidence: 99%

“…In Vietnam, Nguyen et al. (2018) evaluate the maximum reduction in greenhouse gas. With an aim to minimize total environmental risk and cost, Zhao and Verter (2015) propose an oil location‐routing framework to integrate location decisions on storage, treatment, and disposal facilities together with routing decisions.…”

Section: Application Areasmentioning

confidence: 99%

“…As greenhouse gas levels continue to increase, the UN stresses the importance of fighting against climate change (UN, 2015, 2018). Nguyen et al.’s (2018) research on evaluating maximum achievable reduction in greenhouse gas emission in Vietnam supports the target of integrating climate change measures into national policies, strategies and planning. The authors assist policy makers in understanding the outcomes of potential actions in emission reduction and conclude that the government can focus on policies that support the development of low‐carbon technologies and create an ecosystem to increase the efficiency of the private sector by the adoption of technological innovation.…”

Section: United Nations Sustainable Development Goalsmentioning

confidence: 99%

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Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Orhan

Guajardo

2021

Int Trans Operational Res

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The growing availability of data coupled with advanced methods and computing power have fostered organizations to adopt business analytics in their decision‐making. Nevertheless, the application of analytics is subject to available resources and capabilities, and, therefore, differs from region to region. Developing countries in particular are exposed to circumstances that can limit the expansion of analytics within their domains. This may prohibit the acceleration of development efforts and, consequently, may result in delays in achieving the United Nations Sustainable Development Goals (UNSDGs) set for 2030. Taking this concern as a starting point, this paper provides the results of a survey on the status of analytics research in developing countries. Through a thorough review and classification of 142 articles published during 2009–2019, we characterize analytics in developing countries along three dimensions. First, we explore the mainstream methodologies appearing in the literature, which range from classic optimization techniques to more recent statistical and machine learning methods. Second, we identify 11 application areas that cover a broad range. Third, we focus on the linkages between the reviewed papers and the 17 UNSDGs. Along this dimension, we establish a connection between the literature and 13 goals, and illustrate how some of these contributions relate to some of the 169 targets set by United Nations. Goals such as gender equality are addressed to either little or no extent by the surveyed literature. Also, the survey reveals no adoption of indicators that are set to track the progress toward the targets.

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Section: Analytical Methodologies In Developing Countriesmentioning

confidence: 99%

Section: Application Areasmentioning

confidence: 99%

Section: United Nations Sustainable Development Goalsmentioning

confidence: 99%

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Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Orhan

Guajardo

2021

Int Trans Operational Res

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“…Of the articles elaborated in Chinese cities, only 4 of the 18 articles adopted a bottom-up approach, most likely due to a lack in available data. Of these 4 articles, Nguyen et al (2018), Tong et al (2018) and Yu et al (2012) used transport-related data from the national statistics database, municipal database and existing studies. Articles contextualizing Indian cities (Bhanarkar et al, 2018;Kumar and Nagendra, 2016;Ramachandra et al, 2015) are highlighted by the use of air quality data from an Indian agency of air pollution and the municipal statistical database.…”

Section: Approach For Transport Estimation According To Ghg Inventory Methodsmentioning

confidence: 99%

The evolution of city-scale GHG emissions inventory methods: A systematic review

Arioli

D’Agosto

Amaral

et al. 2020

Environmental Impact Assessment Review

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The capacity of cities to act on climate change mitigation is essential to fulfil the Paris Agreement target. In order to do so, cities should establish an effective climate policy which requires, as a first step, a complete greenhouse gas (GHG) emissions inventory. The accurate city-scale GHG inventory enables cities to develop, implement and track climate solution measures, mainly those related to transportation. The compilation of a city-scale GHG inventory requires a standardized method and up-to-date activity data. This systematic review critically examines 40 articles over the past 20 years to (1) identify city-scale GHG inventory methods being applied worldwide, (2) evaluate how these methods are evolving, (3) elaborate how emissions from transport sector are being estimated, and ( 4) determine what data types and sources of transport-related data are being used. The review was limited to articles that addressed the process of compilation of a GHG inventory. The results demonstrate that city-scale GHG inventory methods evolved from the Intergovernmental Panel on Climate Change (IPCC) Guidelines to a variety of GHG accounting methods that offer levels of complexity to estimate city-scale emissions. Although GHG inventory methods for city-scale have advanced over the years, almost one third of the articles reviewed were focused on the proposal of a GHG inventory framework, adjusting current methods to each city's reality or proposing new ones. The majority of the cities analysed lack local transport-related data to measure GHG emissions based on the bottom-up approach. Yet, more than 40% of the articles managed to deliver the bottom-up inventory using a diversity of data types and sources. This review shows that there is still a path to achieve a globally compatible method. This would require a joint effort between researchers and city authorities to make international protocols more compliant to each city's data availability along with the improvement of cities data collection.

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“…In recent decades, Vietnam has seen urban and economic growth along with the rates of motorization. This rapid growth is associated with a high rate of growth in transport demand, and is significantly impacting the energy resources for transportation (Nguyen et al, 2018). Vietnam's NDC commits to:…”

Section: Vietnammentioning

confidence: 99%

Transportation strategies for a 1.5 °C world: A comparison of four countries

Arioli

Fulton

Lah

2020

Transportation Research Part D: Transport and Environment

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Decarbonizing transportation in emerging economies will be one of the key challenges in global climate change mitigation efforts. In this paper, pathways are developed towards achieving a 1.5° degree scenario for land-transport for four emerging economies (Brazil, India, Kenya and Vietnam). This aims to highlight the key opportunities and challenges for low-carbon transport in countries with rapidly growing mobility demand. The main focus of this paper is to reconcile actual and required emission reduction targets and develop plausible pathways to achieve these targets. The paper also identifies potential strategies and measures for these countries to follow these pathways. The analysis considers the contributions of "avoid" (cutting travel growth), "shift" (to lower CO2 modes) and "improve" (vehicle and fuel CO2 characteristics) interventions to decarbonisation scenarios. These scenarios aim to inform renewed Nationally Determined Contributions and shed light on the feasibility of deep decarbonisation pathways that would be in line with the Paris Agreement. Results from this study show that achieving 1.5DS would require dramatic changes in travel patterns, technology and fuels, and major intensification of current policy approaches. Decarbonization solutions will need to include greater use and investment of efficient modes, major shifts toward near-zero carbon fuels such as clean electricity, systems integration, modal shift and urban planning solutions. Although the socio-economic situations and national transport systems differ between the selected countries, some fairly similar strategies appear likely to be core to the mitigation effort, such as rapid growth in light-and heavy-duty vehicle electrification and investments in public transit systems.

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A linear programming input–output model for mapping low-carbon scenarios for Vietnam in 2030

Cited by 14 publications

References 23 publications

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

The evolution of city-scale GHG emissions inventory methods: A systematic review

Transportation strategies for a 1.5 °C world: A comparison of four countries

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