Strategies for environmentally friendly development in the Northern Tianshan Mountain Economic Zone based on scenario analysis

Zhou, Chenghu; Zhao, Chenjun; Yang, Z.P.

doi:10.1016/j.jclepro.2017.03.109

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…Most importantly, government should accelerate wind and solar power development, which can reduce the proportion of coal in electricity generation. Meanwhile, the construction of eco-industrial parks should be promoted in Xinjiang, which could be an effective way to realize green economic growth and sustainable development [31].…”

Section: Discussionmentioning

confidence: 99%

“…In the northern part of the Tianshan Mountain and the western margin of the Tarim Basin, about 10 million people have suffered from serious air pollution in the past decade [30]. Meanwhile, the North Tianshan Mountain Economic Zone (NTMEZ), the largest and the most comprehensive economic belt of China, is located in this region [31]. Xinjiang is also the core area of the 'Belt and Road Initiative'.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Variations of Satellite-Based PM2.5 Concentrations and Its Determinants in Xinjiang, Northwest of China

Wang

Samat

Abuduwaili

et al. 2020

IJERPH

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With the aggravation of air pollution in recent years, a great deal of research on haze episodes is mainly concentrated on the east-central China. However, fine particulate matter (PM2.5) pollution in northwest China has rarely been discussed. To fill this gap, based on the standard deviational ellipse analysis and spatial autocorrelation statistics method, we explored the spatio-temporal variation and aggregation characteristics of PM2.5 concentrations in Xinjiang from 2001 to 2016. The result showed that annual average PM2.5 concentration was high both in the north slope of Tianshan Mountain and the western Tarim Basin. Furthermore, PM2.5 concentrations on the northern slope of the Tianshan Mountain increased significantly, while showing an obviously decrease in the western Tarim Basin during the period of 2001–2016. Based on the result of the geographical detector method (GDM), population density was the most dominant factor of the spatial distribution of PM2.5 concentrations (q = 0.550), followed by road network density (q = 0.423) and GDP density (q = 0.413). During the study period (2001–2016), the driving force of population density on the distribution of PM2.5 concentrations showed a gradual downward trend. However, other determinants, like DEM (Digital elevation model), NSL (Nighttime stable light), LCT (Land cover type), and NDVI (Normalized Difference Vegetation Index), show significant increased trends. Therefore, further effort is required to reveal the role of landform and vegetation in the spatio-temporal variations of PM2.5 concentrations. Moreover, the local government should take effective measures to control urban sprawl while accelerating economic development.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variations of Satellite-Based PM2.5 Concentrations and Its Determinants in Xinjiang, Northwest of China

Wang

Samat

Abuduwaili

et al. 2020

IJERPH

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“…In contrast, new opportunities for the sustainable development of mountain regions arise from the emergence of alternative economic models (e.g. circular economy, a-growth, degrowth) (Wei et al 2009 ; van den Bergh and Kallis 2012 ; Zhou et al 2017 ; Ranta et al 2018 ), the creation of new markets (e.g. carbon trading, compensation for ecosystem services), and new consumption patterns that favour high-value goods and services like eco-tourism, freshwater, off-season vegetables, or medicinal plants (Grover et al 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Aligning social networks and co-designed visions to foster systemic innovation in the Alps

et al. 2023

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Mountain regions face substantial challenges and opportunities arising from global change. The capacity of mountain regions for (systemic) innovation will be determinant to the success of system transformations envisioned by social actors of mountain communities. By analysing the social networks of two regions in the Alps and relating them to desired future visions of sustainable regional development, we provide insights about innovative capacities in mountain regions and propose how to strengthen these capacities in order to support regional transformations. In particular, we analyse innovation systems’ collaboration networks to evaluate the innovative capacity of communities, co-construct visions with mountain stakeholders, and assess innovation requirements to meet these visions. Accordingly, we propose changes to the collaboration networks for addressing regional innovation system (RIS) capacities to help achieve visions through systemic innovation. Our analysis furthers the understanding on the type and magnitude of regional innovation system changes required to more effectively address desired transformative visions in mountain regions. We close by discussing implications of our approach for the assessment of innovative capacity and the transformation of mountain regions. Graphical Abstract

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“…Moreover, the expansion of built‐up land gradually overtakes cropland, forestland, and grassland, which leads to a decrease in the supply of ESs. The imbalance of supply and demand further affects sustainable development (Li et al, 2019; Zhou et al, 2017). Therefore, understanding the supply and demand relationship and mismatch of ESs is the premise of ecosystem management and resource optimization.…”

Section: Introductionmentioning

confidence: 99%

Identifying mismatches of ecosystem services supply and demand under semi‐arid conditions: The case of the Oasis City Urumqi, China

Shi

Halik

Mamat

et al. 2021

Integr Envir Assess & Manag

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Understanding the balance between supply and demand of ecosystem services (ESs) is helpful for sustainable urban management. However, the interactions among multiple ESs supplies and demands remain under-researched, and ESs supply and demand spatial heterogeneity and correlation characteristics at the city level are rarely studied, especially in arid areas. To fill this gap, we established a comprehensive assessment framework of ESs supply and demand through integrating multi-source remote sensing data, social economy, and policy objectives, for the oasis city of Urumqi, China. The ESs supplydemand mismatches were revealed at the city level, and the spatial relationship between the ESs supply and demand was analyzed using spatial statistics. The results demonstrated that: (1) The total quantity of supply and demand of food provision, carbon sequestration, PM 10 removal, and recreation services in Urumqi revealed that the demand was greater than the supply, the deficits being 16.10 × 10 7 kcal/ha, 6.88 × 10 4 t/ha, 155.86 kg/ha, and 697.26, respectively. (2) The supply and demand assessment of ESs revealed spatial differences from the city center to the suburbs, which further indicated that there are neighborhood similarities between the supply and demand of ESs. (3) The matching types of ESs supply and demand present obvious spatial heterogeneity, which can be divided into four types: High-high, high-low, low-high, and low-low. Owing to rapid urban development in the inner city, the city center is dominated by low-high, whereas the urban-rural ecotone is characterized by high-low, owing to the higher elevation and water resource advantages in the suburbs. Based on the analysis of the supply, demand, and matching of ESs, economic development and sustainable management policies are proposed for different ecological spaces.

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Strategies for environmentally friendly development in the Northern Tianshan Mountain Economic Zone based on scenario analysis

Cited by 10 publications

References 13 publications

Spatio-Temporal Variations of Satellite-Based PM2.5 Concentrations and Its Determinants in Xinjiang, Northwest of China

Spatio-Temporal Variations of Satellite-Based PM2.5 Concentrations and Its Determinants in Xinjiang, Northwest of China

Aligning social networks and co-designed visions to foster systemic innovation in the Alps

Identifying mismatches of ecosystem services supply and demand under semi‐arid conditions: The case of the Oasis City Urumqi, China

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