CASISD OpenIR
A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China's High-Tech Manufacturing Industry
Ya Wang1,2; Jiaofeng Pan1,2; Ruimin Pei1,2; Guoliang Yang1,2; Bowen Yi3
发表期刊SUSTAINABILITY
摘要

China's high-tech manufacturing industry has become the mainstay of the country's domestic industrial transformation and upgrading. However, in recent years, the industry has experienced huge blind expansion under policy stimulus, which is not good for long-term industrial development. Therefore, this article attempts to explore the extent to which such an important and critical industry in China utilizes its production capacity and provides a basis for future policymaking. Coupled with the country's increasing emphasis on the green and low-carbon development of the industry, this article extends the green and low-carbon thinking based on capacity utilization, namely green capacity utilization (CU). On this basis, the study empirically investigates the green CU of the high-tech manufacturing industry in 28 provinces in mainland China from 2010 to 2015. In performing the investigation, the inputs were divided into (quasi-)fixed and variable inputs, and an assessment framework was established based on the data envelopment analysis (DEA) method. Moreover, optimal variable inputs are also available as by-products within the assessment framework. The results were as follows: First, China's high-tech manufacturing industry showed an excellent overall performance in green CU. Moreover, half of the provinces were at fully utilized capacity, and half were under-utilized. On average, there was a slight deterioration in green CU. Second, the results showed regional differences. The western region had the highest green CU followed by the middle and northeastern regions, and the eastern region had the lowest green CU. Third, regarding the optimal variables inputs, the total amount of labor in China's high-tech manufacturing industry met the demand, but the distribution was uneven. Fourth, the scale of traditional energy consumption needs to be reduced both in individual provinces and in general. These conclusions have implications for the formulation of policies to promote the green development of China's high-tech manufacturing industry.

2020
卷号12期号:11页码:4424
DOI10.3390/su12114424
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.casisd.cn/handle/190111/9841
专题中国科学院科技战略咨询研究院
通讯作者Bowen Yi
作者单位1.Institutes of Science and Development, Chinese Academy of Sciences
2.School of Public Policy and Management, University of Chinese Academy of Sciences
3.School of Economics & Management, Beihang University
推荐引用方式
GB/T 7714
Ya Wang,Jiaofeng Pan,Ruimin Pei,et al. A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China's High-Tech Manufacturing Industry[J]. SUSTAINABILITY,2020,12(11):4424.
APA Ya Wang,Jiaofeng Pan,Ruimin Pei,Guoliang Yang,&Bowen Yi.(2020).A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China's High-Tech Manufacturing Industry.SUSTAINABILITY,12(11),4424.
MLA Ya Wang,et al."A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China's High-Tech Manufacturing Industry".SUSTAINABILITY 12.11(2020):4424.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ya Wang]的文章
[Jiaofeng Pan]的文章
[Ruimin Pei]的文章
百度学术
百度学术中相似的文章
[Ya Wang]的文章
[Jiaofeng Pan]的文章
[Ruimin Pei]的文章
必应学术
必应学术中相似的文章
[Ya Wang]的文章
[Jiaofeng Pan]的文章
[Ruimin Pei]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。