Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework

Gong, Qunxi; Guo, Gengxuan

doi:10.1016/j.jenvman.2024.122931

Journal of Environmental Management

2024

DOI: 10.1016/j.jenvman.2024.122931

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Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework

Qunxi Gong,

Gengxuan Guo

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Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model

Zou,

Gao,

et al. 2024

Sensors

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Intelligent Transportation Systems (ITSs) leverage Internet of Things (IoT) technology to facilitate smart interconnectivity among vehicles, infrastructure, and users, thereby optimizing traffic flow. This paper constructs an optimization model for the fresh food supply chain distribution route of fresh products, considering factors such as carbon emissions, time windows, and cooling costs. By calculating carbon emission costs through carbon taxes, the model aims to minimize distribution costs. With a graph attention network structure adopted to describe node locations, accessible paths, and data with collection windows for path planning, it integrates to solve for the optimal distribution routes, taking into account carbon emissions and cooling costs under varying temperatures. Extensive simulation experiments and comparative analyses demonstrate that the proposed time-window-constrained reinforcement learning model provides effective decision-making information for optimizing fresh product fresh food supply chain transportation and distribution, controlling logistics costs, and reducing carbon emissions.

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Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model

Zou,

Gao,

et al. 2024

Sensors

View full text Add to dashboard Cite

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A Study on the Decoupling Effect Between Economic Development Level and Carbon Dioxide Emissions: An Empirical Analysis Based on Mineral Resource-Based Cities in Southwest China

Yang,

Fan,

Peng

et al. 2024

Sustainability

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Mineral resource-based cities (MRBCs) refer to cities with mining and processing of mineral resources as the main industry, so there is a close relationship between their economic development and resource consumption. However, this relationship often hinders its rapid transition towards economic diversification and low-carbon models. Based on quantifying the economic index level of 18 MRBCs in southwest China, this paper has employed the Tapio elasticity coefficient method (Tapio model) and Environmental Kuznets Curve (EKC curve) to analyze the decoupling effect between the economic index and carbon dioxide. After the deep research of the “decoupling” phenomenon and its dynamic changes between economic development and carbon emissions, this paper has aimed to explore a low-carbon transformation path suitable for each city. The research results have indicated that: (1) The overall trend of carbon dioxide emissions is increasing, but the growth rate is gradually slowing down, effectively controlling the situation of carbon dioxide emissions. (2) The economic index level shows an upward trend, and the growth rate gradually increases, which signifies a positive trend in economic development. (3) The decoupling effect began in MRBCs in southwest China in 2013, and the decoupling effect was achieved in 2019.

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Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework

Cited by 2 publications

References 50 publications

Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model

Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model

A Study on the Decoupling Effect Between Economic Development Level and Carbon Dioxide Emissions: An Empirical Analysis Based on Mineral Resource-Based Cities in Southwest China

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