Integrated sustainable development evaluation based on human well-being indices and pressure indices: A case study of the South China Sea Neighboring Countries

Zang, Zheng; Zou, Xiaofeng; Song, Qiaochu; Li, Yali; Wang, Teng

doi:10.1016/j.soscij.2017.04.007

Cited by 9 publications

(5 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Referring previous researches (Li, 2010;Li et al, 2014;Jiang et al, 2009;Wan, 2016;Zhang et al, 2006), the following variables were selected as independent variables: the proportion of tea plantation area in terms of the total plantation area (X1), the proportion of expenditures on the agricultural and forestry industry in terms of the general public budget revenue (X2), the proportion of turnover on the technical market in terms of gross domestic product (GDP) (X3), the ratio of the per capita income of rural residents to per capita income of urban residents (X4), and the proportion of the land value-added tax revenue in terms of the total value-added tax revenue(X5). The analyses were conducted using the software SIMCA-P11.5 (Umetrics, Umeȧ, Sweden) (Nitzl, 2016;Zang et al, 2017).…”

Section: Partial Least Squares Model (Pls)mentioning

confidence: 99%

“…VIP characterizes the explanatory power of an independent variable for the dependent variable. An independent variable with a VIP value greater than 1 is often considered as the dominant factor causing changes of the dependent variable (Zang et al, 2017). As demonstrated in Figure 7, all the factors except for X3 have relatively high explanatory power for the increases in the scale of tea plantations and tea yield per unit area.…”

Section: Regression Analysesmentioning

confidence: 99%

See 1 more Smart Citation

Spatio-temporal variation and the driving forces of tea production in China over the last 30 years

et al. 2018

Self Cite

View full text Add to dashboard Cite

As a daily necessity and an important cash crop in China and many other countries, tea has received increasing attention. Using production concentration index model and industry' s barycenter theory, we analyzed the spatio-temporal distribution of tea production and barycenter movement trajectory of tea plantations and production in China between 1986 and 2015. Driving forces of the movement were also analyzed. From 1986 to 2000, tea production in China's Mainland of grew slowly (by 210×10 3 t). The continuous increase in tea yield per unit area was the primary contributor (more than 60%) to the growth in tea production during this period. Since China joined the World Trade Organization (WTO) in 2001, tea production has grown rapidly, by 1.59×10 6 t between 2001 and 2015. The increase in the tea plantations area is the main contributor. Over the last 30 years, the barycenters of tea production in China have moved westward from the Dongting Lake Plain to the eastern fringe of the Yunnan-Guizhou Plateau. Guizhou, Guangxi, and Sichuan in southwestern China have gradually become regions of new concentrated tea plantations and main tea production provinces. Lower cost of land and labor in southwestern China are the main drivers of the westward movement of China's tea industry. In addition, supportive policies and the favorable natural geographical environment contribute to the westward movement of tea industry. Our research highlights the spatio-temporal variation of China's tea production in the last three decades. The result indicates importance to make appropriate policies to promote the development of tea industry in China.

show abstract

Section: Partial Least Squares Model (Pls)mentioning

confidence: 99%

Section: Regression Analysesmentioning

confidence: 99%

Spatio-temporal variation and the driving forces of tea production in China over the last 30 years

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Since the construction of human settlements is closely related to human development and well-being [31,32], this paper draws on the relevant studies on the evaluation of the human development index to construct dimensional indicators [33,34]. Dimensional Indicators (Level 1 Indicators): indicators used to further specify the overall index.…”

Section: Comprehensive Evaluation Indicator System For Habitat Qualit...mentioning

confidence: 99%

Quality Assessment and Spatial Distribution of Human Settlements in Western China: The Case of 12 Provinces, Municipalities and Autonomous Regions

Guo,

Chen,

Guo

2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

“…The term "ecological civilization" came from the Silent Spring in the 1960s. Taking a global perspective, the research content of ecological civilization evaluation mainly includes the evaluation system of sustainable development and ecology [33,34], the regional human development index and the evaluation of sustainable development level [35][36][37]. In recent years, scholars have investigated ecological civilization from various perspectives, mainly focusing on the concept and connotation of ecological civilization [38,39], the construction of an ecological civilization evaluation index system [40], and the practice of ecological civilization construction [41].…”

Section: Construction Of Beautiful China and Development Of Tourismmentioning

confidence: 99%

Exploring the Coordinated Evolution Mechanism of Regional Sustainable Development and Tourism in China’s “Beautiful China” Initiative

Wang

Zhang

Jie³

et al. 2023

Land

View full text Add to dashboard Cite

As the world’s largest developing country, China first proposed the construction of a Beautiful China initiative in 2012, with the aim of exploring Chinese solutions for sustainable regional development. The construction of a beautiful China is based on the guiding ideology of the Five-sphere Integrated Plan in China, that is, the overall plan for building socialism with Chinese characteristics, including economic construction, political construction, cultural construction, social construction and ecological civilization construction. This paper aims to understand the coupling relationship, as well as the spatial and temporal changes, between China’s sustainable development under the Beautiful China initiative and tourism. Using data from the China Statistical Yearbook database, we constructed an evaluation index system to measure both the construction of beautiful China and tourism development using a literature review, statistical analysis, the entropy method and GIS-based spatial analysis methods. Furthermore, using the 31 Chinese provinces as the research subject, we further analyzed the state of Beautiful China construction and tourism development, as well as their coupling relationships of the two systems. Our results show that firstly, the economic “hard power” plays the most prominent role in the process of building a beautiful China under the sustainable development regime, while the status of cultural “soft power” has also been well reflected. Secondly, the weight ranking of tourism evaluation indicators and the spatial distribution of tourism development levels both reflect the central and fundamental role of tourism market demand in tourism development. Third, the weight ranking of tourism evaluation indicators ranks the highest in the mean value of the coupling coordination degree of society, ecology and tourism in the Beautiful China subsystem, which reflects the harmony between society and ecology and the significant livelihood function of tourism as a happiness industry in the new era. Fourth, the spatial and temporal relationship between the coupled and coordinated development of the Beautiful China and tourism systems varies, indicating that there is a regional imbalance in China’s sustainable development. This further indicates the need to adapt to local conditions, and to build on strengths and avoid weaknesses to achieve regional sustainable development. The study highlights China’s contribution to global sustainable development. It also provides theoretical and practical guidance for the promotion of the coordinated development of both Beautiful China and tourism.

show abstract

Integrated sustainable development evaluation based on human well-being indices and pressure indices: A case study of the South China Sea Neighboring Countries

Cited by 9 publications

References 44 publications

Spatio-temporal variation and the driving forces of tea production in China over the last 30 years

Spatio-temporal variation and the driving forces of tea production in China over the last 30 years

Quality Assessment and Spatial Distribution of Human Settlements in Western China: The Case of 12 Provinces, Municipalities and Autonomous Regions

Exploring the Coordinated Evolution Mechanism of Regional Sustainable Development and Tourism in China’s “Beautiful China” Initiative

Contact Info

Product

Resources

About