The product space and evolution of international competitiveness—evidence from China’s strategic and critical mineral articles

Zhu, Wenxing; Hu, Tingting; Xiao, Wei; Liao, Jinping; Xu, Yan

doi:10.3389/fenvs.2023.1042436

Cited by 2 publications

(2 citation statements)

References 13 publications

(7 reference statements)

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“…According to data provided by the United Nations, the Food and Agriculture Organization, and National Statistical Bureau, China is the world's largest producer of fruits, far surpassing the second-ranking country [1][2][3][4]. Simultaneously, China also leads in fruit consumption globally.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Vegetable Restocking and Pricing Strategies for Innovating Supermarket Operations Utilizing a Combination of ARIMA, LSTM, and FP-Growth Algorithms

Ping,

Li,

Shen

et al. 2024

Mathematics

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In the dynamic environment of fresh food supermarkets, managing the short shelf life and varying quality of vegetable products presents significant challenges. This study focuses on optimizing restocking and pricing strategies to maximize profits while accommodating the diverse and time-sensitive nature of vegetable sales. We analyze historical sales, pricing data, and loss rates of six vegetable categories in Supermarket A from 1 July 2020 to 30 June 2023. Using advanced data analysis techniques like K-means++ clustering, non-normal distribution assessments, Spearman correlation coefficients, and heat maps, we uncover significant correlations between vegetable categories and their sales patterns. The research further explores the implications of cost-plus pricing, revealing a notable relationship between pricing strategies and sales volumes. By employing Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models, we forecast sales and determine optimal restocking volumes. Additionally, we use price elasticity theories and a comprehensive model to predict net profit changes, aiming to enhance profit margins by 47%. The study also addresses space constraints in supermarkets by proposing an effective assortment of salable items and individual product restocking plans, based on FP-Growth algorithm analysis and market demand. Our findings offer insightful strategies for sustainable and economic growth in the supermarket industry, demonstrating the impact of data-driven decision-making on operational efficiency and profitability.

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Section: Introductionmentioning

confidence: 99%

Optimization of Vegetable Restocking and Pricing Strategies for Innovating Supermarket Operations Utilizing a Combination of ARIMA, LSTM, and FP-Growth Algorithms

Ping,

Li,

Shen

et al. 2024

Mathematics

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“…The rapid deployment of new energy technologies as part of clean energy transitions implies a fast-growing demand for critical minerals. The types of mineral resources used vary across new energy technologies [3,5,6]. From solar PV panels, wind turbines, and energy storage systems to electricity networks and EVs, critical metal resources including lithium and copper have been widely used.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Development of Lithium-Based New Energy in China from an Industry Chain Perspective: Risk Analysis and Policy Implications

et al. 2023

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Lithium-based new energy is identified as a strategic emerging industry in many countries like China. The development of lithium-based new energy industries will play a crucial role in global clean energy transitions towards carbon neutrality. This paper establishes a multi-dimensional, multi-perspective, and achievable analysis framework to conduct a system analysis for determining the potential risks involved in the sustainable development of lithium-based new energy industries in China and other countries towards a carbon-neutral future. The results show that critical risk points including resource supply risks, overcapacity risks, environmental impact risks, and regulation absence risks have emerged with the large-scale development of the lithium-based new energy industry in China. These will not be helpful for the sustainable development of the lithium-based new energy industry, which will play a vital role in attaining the goal of carbon neutrality. Based on our risk identification, a policy implication analysis was performed to investigate potential policy countermeasures including promoting the exploration and development of domestic lithium resources, improving the coordination degree of the lithium-based new energy industry, adopting green and low-carbon development paths, and improving the quality of industry regulation. Based on our findings, recommendations are proposed to optimize policy formulation and implementation for stimulating the sustainable development of the lithium-based new energy industry towards a carbon-neutral future.

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The product space and evolution of international competitiveness—evidence from China’s strategic and critical mineral articles

Cited by 2 publications

References 13 publications

Optimization of Vegetable Restocking and Pricing Strategies for Innovating Supermarket Operations Utilizing a Combination of ARIMA, LSTM, and FP-Growth Algorithms

Optimization of Vegetable Restocking and Pricing Strategies for Innovating Supermarket Operations Utilizing a Combination of ARIMA, LSTM, and FP-Growth Algorithms

Sustainable Development of Lithium-Based New Energy in China from an Industry Chain Perspective: Risk Analysis and Policy Implications

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