Research on the Online Consumption Effect of China’s Urbanization under Population Aging Background

Li, Xuyang; Li, Tongping; Li, Hui; Qi, Junmei; Hu, Linjie

doi:10.3390/su11164349

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…However, no previous research has focused on identifying a strategy and strategic behavior based on considerations of factors of online shopping behavior from the customer's perspective. Research deals in isolation with the issue of e-strategy or factors of online shopping behavior, no research considers the synergy of these monitored areas (Darsono et al 2019;Li et al 2019). This paper therefore aims to fill this research gap based on the consideration of factors of online shopping behavior from the perspective of e-commerce businesses.…”

Section: Introductionmentioning

confidence: 99%

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Svobodová¹,

Rajchlová²

2020

Administrative Sciences

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The issue of online shopping behavior is gaining importance with the continued development of e-commerce. E-commerce businesses that aim to be successful in the online market in the long run must consider the factors of online shopping behavior when creating and implementing their e-commerce strategy. This paper is focused on the strategic behavior of e-commerce from a perspective of the online customer. The aim of the paper is to evaluate the strategic position of e-commerce businesses that focus on online sales of electronics, based on their strategic behavior from the customer’s perspective. The first objective is to identify the current factors of online shopping behavior in the industry of online electronics. The second obejctive is to identify the current economic performance and financial strategy of e-commerce businesses and their relevance to strategic behavior in e-commerce. The third objective is to identify the possible differences in strategic behavior of e-commerce SMEs and e-commerce large businesses. The research methods employed were: situation analysis, benchmarking, quantitative research, selected methods of financial analysis. The selected methods of statistical induction were chosen to verify the research hypotheses. A research sample of 89 e-commerce businesses selling online electronics was selected for this research. It was found that most e-commerce businesses apply a balanced e-strategy based on the assessed factors of online shopping behavior that does not correspond to the progressive growth of e-commerce. Fifteen factors were identified that influence customers when choosing and buying electronics online. It was also found that the strategic behavior of e-commerce businesses is influenced by factors of online shopping behavior. Finally, it was found that the current balanced e-strategy of e-commerce businesses does not correspond with conservative financial strategy.

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Section: Introductionmentioning

confidence: 99%

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Svobodová¹,

Rajchlová²

2020

Administrative Sciences

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“…Over the past 40 years, the urbanization process has developed rapidly all over the world. This is especially so in China, where the urbanization rate has reached 59.58% in 2018, and more than 831.37 million people live in cities (X. Li et al., 2019). Rapid urbanization has introduced many adverse effects, such as urban heat islands (UHIs; Y. Chen & Zhang, 2018), heavier rainfall (Miao et al., 2011), storm floods (Ntelekos et al., 2010), and air pollution (Baklanov et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Urban Hydrological Processes in Mitigating Urban Heat Island and Human Thermal Stress During a Heat Wave Event in Nanjing, China

et al. 2020

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Over the past 40 years, the urbanization process has developed rapidly all over the world. This is especially so in China, where the urbanization rate has reached 59.58% in 2018, and more than 831.37 million people live in cities (X. Li et al., 2019). Rapid urbanization has introduced many adverse effects, such as urban heat islands (UHIs; Y. Chen & Zhang, 2018), heavier rainfall (Miao et al., 2011), storm floods (Ntelekos et al., 2010), and air pollution (Baklanov et al., 2016). The UHI effect, in which urban areas are hotter than their rural surroundings, results from absorption and retention of heat by the built environment, less vegetation cover, and abundant anthropogenic heat release in cities (Oke, 1982). The UHI effect has profound impacts on the urban environment, particularly on human thermal comfort and health (Kovats & Hajat, 2008). Heat waves, periods of abnormally hot weather, exacerbate the UHI effect and cause cities to be more vulnerable, resulting in higher heat stress for urban residents (Li & Bou-Zeid, 2013). In the Yangtze River Delta, UHI-enhanced heat waves have shown an increasing trend in recent years (Ao et al., 2019; Tan et al., 2010; Xia et al., 2016). The combination of UHI effects and heat waves is becoming an important issue in this area because of its hot summer season. To predict the effects of heat waves on human health, a heat stress index is often used (Buzan et al., 2015). Heat stress is a complex measure combining temperature, humidity, wind speed, and solar radiation, coupled with individual factors including age, metabolism, physical activity, and health (Willett & Sherwood, 2012). With rapid urbanization and global warming, the overall trend is toward increasing heat stress on humans

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“…With the formulation and implementation of the national plan for building city clusters and metropolitan areas, China's urbanization rate has reached 59.58 % in 2018 [1]. As more and more rural population is moving to cities, the ecological space in urban areas are threatened and there are prominent contradictions between ecological environmental protection and economic development [2].…”

Section: Introductionmentioning

confidence: 99%

“…This study takes the urban area of Xi'an within the third ring as the study area, using the TM remote sensing data in 2011, 2014 and 2017 as the information source and taking the high spatial resolution Google images of the same period as references to analyse three points as follows. (1) The change of vegetation coverage and vegetation components in Xi'an urban area during the past decade. (2) The law of vegetation spatial variation and mutual conversion in urban area of Xi'an.…”

Section: Introductionmentioning

confidence: 99%

Quantifying Urban Vegetation Coverage Change with a Linear Spectral Mixing Model: A Case Study in Xi’an, China

Zhao

Liu

2021

Ecological Chemistry and Engineering S

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With the rapid development of urban area of Xi’an in recent years, the contradiction between ecological environmental protection and urban development has become prominent. The traditional remote sensing classification method has been unable to meet the accuracy requirements of urban vegetation monitoring. Therefore, how to quickly and accurately conduct dynamic monitoring of urban vegetation based on the spectral component characteristics of vegetation is urgent. This study used the data of Landsat 5 TM and Landsat 8 OLI in 2011, 2014 and 2017 as main information source and LSMM, region of variation grid analysis and other methods to analyse the law of spatial-temporal change of vegetation components in Xi’an urban area and its influencing factors. The result shows that: (1) The average vegetation coverage of the study area from 2011 to 2017 reached more than 50 %, meeting the standard of National Garden City (great than 40 %). The overall vegetation coverage grade was high, but it had a decreasing trend during this period. (2) The vegetation in urban area of Xi’an experienced a significant change. From 2011 to 2017, only 30 % of the low-covered vegetation, 24.39 % of the medium-covered vegetation and 20.15 % of the high-covered vegetation remained unchanged, while the vegetation in the northwest, northeast, southwest and southeast of the edge of the city’s third ring changed significantly. (3) The vegetation quality in urban area of Xi’an has decreased from 2011 to 2014 with 6.9 % of vegetation coverage reduced; while from 2014 to 2017, the overall vegetation quality of this area has improved with 2.1 % of the vegetation coverage increased, which was mainly attributed to urban construction and Urban Green Projects. This study not only can obtain the dynamic change information of urban vegetation quickly, but also can provide suggestions and data support for urban planning of ecological environmental protection.

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Research on the Online Consumption Effect of China’s Urbanization under Population Aging Background

Cited by 8 publications

References 26 publications

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Strategic Behavior of E-Commerce Businesses in Online Industry of Electronics from a Customer Perspective

Effectiveness of Urban Hydrological Processes in Mitigating Urban Heat Island and Human Thermal Stress During a Heat Wave Event in Nanjing, China

Quantifying Urban Vegetation Coverage Change with a Linear Spectral Mixing Model: A Case Study in Xi’an, China

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