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Yongheng Fang
School of Public Management, Xi'an University of Architecture and Technology, Xi'an, 710055, China

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Journal article
Published: 28 June 2021 in Journal of Cleaner Production
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Resource-based cities, which account for 43.6% of China's cities, have the industrial problem of heavy pollution, low efficiency, and irrational structure. Therefore, how to improve the sustainability of the industries in resource-based cites has become an important issue. First, from the perspective of ecology, this paper uses Lotka-Volterra model to reveal three basic sustainability promotion mechanisms of industries: the construction of circular economy system, the refinement of resource-based industries, and the cultivation of non-resource-based industries. Then, in order to explore how to use the three mechanisms to achieve better performance, a system dynamics model is established and the situation simulation is carried out. The results show that simply combining the three mechanisms has the worst performance, while the phased mode of “resource-based industry → circular economy → tertiary industry” can improve the performance by 164.82%. In addition, the advantages and disadvantages of the above three mechanisms are also found. Construction of a circular economy can improve the environment and its economic output grows quickly while it excessively relies on the second industry. Refinement of resource-based industries can greatly promote economic output while crowding out non-resource-based industries and destroying the environment. Cultivation of non-resource-based industries requires a lot of resources.

ACS Style

Menglin Xing; Fuzhou Luo; Yongheng Fang. Research on the sustainability promotion mechanisms of industries in China's resource-based cities —— from an ecological perspective. Journal of Cleaner Production 2021, 315, 128114 .

AMA Style

Menglin Xing, Fuzhou Luo, Yongheng Fang. Research on the sustainability promotion mechanisms of industries in China's resource-based cities —— from an ecological perspective. Journal of Cleaner Production. 2021; 315 ():128114.

Chicago/Turabian Style

Menglin Xing; Fuzhou Luo; Yongheng Fang. 2021. "Research on the sustainability promotion mechanisms of industries in China's resource-based cities —— from an ecological perspective." Journal of Cleaner Production 315, no. : 128114.

Research article
Published: 29 April 2021 in Critical Arts
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The construction of urban cultural soft power is an important manifestation of a country's comprehensive strength and an endogenous driving force to achieve sustainable development goals. This article focuses on the 12 node cities in the Silk Road Economic Belt, and uses factor analysis to construct the target city's cultural soft power evaluation index system. This evaluation system includes four indicators based on cultural foundation, cultural image, cultural attraction and cultural creativity. The authors conducted a comparative analysis of the sample cities’ cultural soft power scores from 2014 to 2016. The results show that: (1) The cultural soft powers of Xi'an and Lanzhou, the provincial capitals on the Silk Road Economic Belt, are more predominant than other cities. (2) Although Yinchuan, Xining, and Urumqi are also provincial capitals, the lack of a cultural foundation results in a limitation of their ability to expand their cultural soft power. (3) Baoji and Tianshui have focused on economic development; yet, their industrial structure seriously tilts the cultural balance, which shifts away from cultural soft power construction. (4) Under the influence of external factors such as the economy and environment, the development of cultural soft power lags seriously.

ACS Style

Yongheng Fang; Weiyu Jiao; Luyao Feng; Jiamin Liu; Xuanlei Zhang. A Comprehensive Evaluation of Urban Cultural Soft Power for the Silk Road Economic Belt. Critical Arts 2021, 1 -16.

AMA Style

Yongheng Fang, Weiyu Jiao, Luyao Feng, Jiamin Liu, Xuanlei Zhang. A Comprehensive Evaluation of Urban Cultural Soft Power for the Silk Road Economic Belt. Critical Arts. 2021; ():1-16.

Chicago/Turabian Style

Yongheng Fang; Weiyu Jiao; Luyao Feng; Jiamin Liu; Xuanlei Zhang. 2021. "A Comprehensive Evaluation of Urban Cultural Soft Power for the Silk Road Economic Belt." Critical Arts , no. : 1-16.

Journal article
Published: 01 January 2020 in Land
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More and more studies on land transfer prices have been carried out over time. However, the influencing factors of the industrial land transfer price from the perspective of spatial attributes have rarely been explored. Selecting 25 towns as the basic research unit, based on industrial land transfer data, this paper analyzes the influencing factors of the price distribution of industrial land in Dingzhou City, a rural land system reform pilot in China, by using a geographically weighted regression (GWR) model. Eight evaluation factors were selected from five aspects: economy, population, topography, landform, and resource endowment. The results showed that: (1) Compared with the traditional ordinary least squares (OLS) model, the GWR model revealed the spatial differentiation characteristics of the industrial land transfer price in depth. (2) Factors that have a negative correlation with the industrial land transfer price include the proportion of cultivated land area and distance to the city. Factors that have a positive correlation with the industrial land transfer price include the population growth rate, economic growth rate, population density, and number of hospitals per unit area. (3) The results of GWR model analysis showed that the impact of different factors on the various towns of different models had significant spatial differentiation characteristics. This paper will provide a reference for the sustainable use of industrial land in developing countries.

ACS Style

Zhiheng Yang; Chenxi Li; Yongheng Fang. Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China. Land 2020, 9, 7 .

AMA Style

Zhiheng Yang, Chenxi Li, Yongheng Fang. Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China. Land. 2020; 9 (1):7.

Chicago/Turabian Style

Zhiheng Yang; Chenxi Li; Yongheng Fang. 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China." Land 9, no. 1: 7.