Cloud computing is a supercomputing that integrates large-scale and scalable computing, storage, data, applications, and other distributed computing resources for collaborative work in the form of virtualization technology as the basis and the network as the carrier to provide infrastructure, platform, software, and other service’s model. Green GDP (GGDP) is an assessment indicator for regional sustainable development. Hence, the evaluation index on GGDP and greening of the national economic accounting system (SNA) are the hotspots of current ecological and economic studies. In the recent years, Zhejiang’s economy has achieved rapid development, and there are also problems of high input and high consumption of natural resources, thereby restricting its sustainable development. Based on the statistical data of Zhejiang Province during 2000–2017, the GGDP within the sustainable development context is calculated using the system of integrated environmental and economic accounting (SEEA). The results indicated the following: (1) The GGDP accounted for 79.29%–96.78% of Zhejiang's GDP during the study period, which showed volatility upward trend, resulting from the significant environmental protection and conservation of natural resources in the study area. But economic development was heavily dependent on resources, and the local government still strengthened the work of improving resources and environment. (2) The proportion of secondary industry in Zhejiang Province fluctuated downwards during the period of 2000–2017, and the tertiary industry showed a volatility upward trend, which exceeded the proportion of the secondary industry, indicating that Zhejiang Province is from an industry-led economy to a service-oriented economy change. (3) The GGDP of Zhejiang Province accounted for the highest proportion of GDP in 2008, resulting from the result of a combination of relevant national policies and international competitions.
With the rapid development of urbanization, land use change has occurred in most karst mountain regions of North China over the last decade, so studying landscape pattern changes induced by urbanization would have implicational significance to regional planning and sustainability. Based on RS, GIS, and field investigation, land use change induced by urbanization in Jinan city belonging to the karst mountainous area of North China was analyzed over 30 years from 1987 to 2018, and further the landscape response of these changes was explored. The results indicate that (1) the most obvious changes have occurred in both urban/built-up land area and cropland area with rapid urbanization development in Jinan’s karst area, and the former increased by 246.4 km2 but the latter decreased by 343.3 km2 from 1987 to 2018; (2) landscape pattern of land use is profoundly changed by quick urbanization in the period from 2000 to 2018, but does not siginificently from 1987 to 2000; and (3) in the monitoring period, the cropland’s shape inclines to fragmentation and regularization, and the shapes of urban/built-up land and barren land have become increasingly distinct from the patch class level; from patch landscape level, the artificial landscape type (urban/built-up land) is increasingly dominant but the natural landscape type (grassland) is decreasingly dominant, thereby resulting in the disturbance of urban karst environment of Jinan city. Therefore, a protection policy should be taken to achieve strong urban karst sustainable development of North China.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.