Journal
JOURNAL OF CLEANER PRODUCTION
Volume 134, Issue -, Pages 42-50Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2015.09.101
Keywords
Sustainable development; Resource-based city; Forestry city; Eco-efficiency; China
Categories
Funding
- projects of Forestry Common-weal Program [201404422]
- National Science Foundation of China at Beijing Forestry University [71203011]
Ask authors/readers for more resources
Sustainable consumption and production (or lack thereof) can leave very distinct marks at the city level. Among the cities aiming at sustainable development, resource-based cities (RBCs) are of special concern due to the tight interrelations economy, urban development, natural resources and environmental context have in them. Excessive exploitation and inefficient resource utilization often cause pollution and ecological risks. As natural resources are getting exhausted, their resource-based industries will collapse, threaten wider urban development and lead to economic recession. In this article, we focus on the economic and ecological dilemmas that the RBCs face in China. We first present an overview of China's policy implementation for rescuing and transforming RBCs. Then a particular RBC, Yichun, which is classified as recessionary, is analyzed to understand the challenges that it faces during its transition. The method of eco-efficiency is used to uncover Yichun's environmental performance in relation to its economic development. Subsequently, we explore the barriers in terms of industrial transformation, conflicts between national, provincial and local governmental actions, and the effects of the circular economy in Yichun. At the end of this article, we formulate several recommendations to facilitate Yichun's sustainable development. We propose that Yichun specifically needs to consider the energy consumption and pollution when selecting alternative industries. Furthermore, one-size-fits-all policies do not help to solve the problems in Yichun. Policies need to be contextualized locally through well reflected coordination between higher and lower tiers of government. (C) 2015 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
Article
Green & Sustainable Science & Technology
Relative evaluation of probabilistic methods for spatio-temporal wind forecasting
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION (2024)
Article
Green & Sustainable Science & Technology
Comparison of ethane recovery processes for lean gas based on a coupled model
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION (2024)
Article
Green & Sustainable Science & Technology
A novel deep-learning framework for short-term prediction of cooling load in public buildings
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION (2024)
Article
Green & Sustainable Science & Technology
The impact of social interaction and information acquisition on the adoption of soil and water conservation technology by farmers: Evidence from the Loess Plateau, China
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION (2024)
Article
Green & Sustainable Science & Technology
Study on synergistic heat transfer enhancement and adaptive control behavior of baffle under sudden change of inlet velocity in a micro combustor
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION (2024)
Share Paper
