کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11263137 | 1778132 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region
ترجمه فارسی عنوان
بهره وری زمین برای بهره برداری از نوع جدید در منطقه پکن-تیانجین-هبی
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کلمات کلیدی
بهره وری اقتصادی زمین، شاخص مالمکیست، شهرنشینی جدید نوع، منطقه پکن-تیانجین-هبی،
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
کسب و کار و مدیریت بین المللی
چکیده انگلیسی
The intensification of urbanization has had a significant impact on land-use change, ecosystem services, and the urban environment in China. In this paper, we measured land eco-efficiency from an economic and ecological perspective using a Super Efficiency DEA model and Malmquist Index. Our study included 13 prefecture-level cities in the Beijing-Tianjin-Hebei region and covered the period from 2005 to 2013. We then built an indicator system to evaluate new-type urbanization and quantify the impacts of new-type urbanization on land eco-efficiency based on an extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) Model. Our results reveal an average annual growth rate of 14.3% for land eco-efficiency. There were distinct differences among cities that are closely related in terms of their development stage of new-type urbanization. The relationship between land eco-efficiency and new-type urbanization produced an N-shaped curve. This suggests that, when the development of new-type urbanization is taken into consideration, the land eco-efficiency trend followed a pattern of up-down-up. Enhancing technology, as well as modifying policies for environment management, will also help improve intensive land use and land eco-efficiency. Our paper provides a significant contribution to strengthening land-use management and advancing sustainable urban development in China.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technological Forecasting and Social Change - Volume 137, December 2018, Pages 19-26
Journal: Technological Forecasting and Social Change - Volume 137, December 2018, Pages 19-26
نویسندگان
Zhe Zhao, Yuping Bai, Guofeng Wang, Jiancheng Chen, Jiangli Yu, Wei Liu,