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ISSN: 2810-9813 (Online)

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Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.

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Volume Arrangement

2024

Vol 5, No 1 (2024)

2023

Vol 4, No 2 (2023)

Vol 4, No 1 (2023)

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Featured Articles

A review on the role of green vegetation in improving urban environmental quality

The exacerbation of climate change impacts within metropolitan areas is a well-documented phenomenon, often leading to severe consequences that pose significant risks to human populations. The impact of urban vegetation and planting design on these factors can be observed. However, it is worth mentioning that while there is an extensive body of literature on the consequences of climate change, there is a relatively small number of studies specifically focused on examining the role of vegetation as a mitigating factor in urban environments. This review paper aims to critically examine existing studies pertaining to the role of urban vegetation in mitigating the detrimental effects of the urban environment. The objective is to offer practical recommendations that can be implemented by city planners. By conducting a comprehensive examination of the literature available in Scopus, Web of Science, and Google Scholar, employing specific keywords pertaining to urban vegetation and climate change, we have identified five prominent concerns pertaining to the urban environment. These concerns encompass particulate matter, gaseous pollution, noise pollution, water runoff, and the urban heat island effect. The present analysis highlights that the impact of urban vegetation on the negative consequences of climate change cannot be unequivocally classified as either positive or negative. This is due to the fact that the influence of urban greenery is intricately connected to factors such as the arrangement, makeup, and dispersion of vegetation, as well as the specific management criteria employed. Hence, this research has the potential to enhance comprehension of the multifaceted nature of urban green spaces and establish a solid groundwork for subsequent investigations.

A study on the impact of digital economy on green technology innovation of enterprises

With global economic transformation and environmental sustainability increasingly taking center stage, the role of the digital economy (DE) becomes particularly critical in corporate green technology innovation (GTI). Based on the data of Chinese A-share listed companies in Shanghai and Shenzhen from 2011 to 2020, this paper explores the interactive effects of DE and GTI and the mechanism role of data resources (DR) in them, as well as conducts in-depth analyses for different regional and city characteristics. The main findings are as follows: First, DE significantly promotes the process of GTI. Second, from the perspective of regional differences, the promotion effect of DE on green technology innovation is particularly prominent in the eastern and central regions. And analyzed from the city level, its positive effect is most significant in the second-tier cities but shows a negative effect in the fourth and fifth-tier cities. Further examined from the perspective of resource dependence, DE inhibits green technology innovation in resource-based cities while showing a significant facilitating effect in non-resource-based cities. Third, DE can further promote green technology innovation by enhancing firms’ DR. Fourth, the study reveals the threshold effect of DR in this relationship: when DR < 2.5649, DE presents an inhibitory effect on green technological innovation, while its promotional effect begins to appear when 2.5649 ≤ DR < 4.2767, and the promotional effect of DE on GTI becomes more obvious when DR ≥ 4.2767.

Digital economy empowers urban green transformation for sustainable development

Yiran Wang, Xiaolu Lv, Shi Yin

Article ID: 2680
Vol 4, Issue 2, 2023

DOI: https://doi.org/10.54517/ec.v4i2.2680
VIEWS - 21 (Abstract)

Abstract

With the acceleration of urbanization and the intensification of environmental issues, China is actively transitioning to a digital green economy development model, covering the application of digital technologies, sustainable economies, environmental protection, green infrastructure and transportation, digital management, and social inclusion. The model aims to improve urban efficiency through digital innovation, reduce resource waste, achieve a balance between economic growth and environmental protection, and improve residents’ quality of life. Despite some progress, challenges remain, such as the digital divide, financial pressures, and inadequate environmental regulation. This paper selects the data from 2008 to 2022 for research and uses Eviews software to conduct multiple linear regression analysis and testing. It aims to explore the application of digital technology in urban management, promote the development of the green economy, and analyze and improve the problems in the digital green economy so as to promote sustainable urban development.

Keywords

urban green transformation; digital economy; green development index; sustainable development; dual carbon target

Full Text:

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References

1. Cao K, Long S. Space and temporal differentiation and spatial spillover effect analysis of the green development efficiency of urban tourism in China (Chinese). Resources and Environment in the Yangtze Basin 2024; 33(1): 1–13.

2. Li L. Research on the Influence of Digital Economy Development on the Green Transformation of Manufacturing Industry (Chinese) [PhD thesis]. Jilin University; 2023.

3. Yin S, Zhao Y. Digital green value co-creation behavior, digital green network embedding and digital green innovation performance: Moderating effects of digital green network fragmentation. Humanities and Social Sciences Communications 2024; 11(1). doi: 10.1057/s41599-024-02691-5

4. Wang X, Li J. Is the digital economy effective in promoting energy conservation and carbon emission reduction (Chinese). China Population, Resources and Environment 2022; 32(11): 83–95.

5. Zhang N, Yin J, Zhang N, et al. Artificial intelligence-driven photovoltaic building materials industry: Greenization and digitization innovation conversion of photovoltaic technology based on a novel interval fuzzy field theory decision-making model. Journal of Intelligent & Fuzzy Systems 2024; 46(3): 6411–6437. doi: 10.3233/jifs-234838

6. Zou Y, Han B. Research on China’s economic green development index in the new era (Chinese). Administration Reform 2022; 9: 31–43. doi: 10.14150/j.cnki.1674-7453.2022.09.009

7. Yin S, Gao Z, Mahmood T. Artificial intelligence-driven bioenergy system: Digital green innovation partner selection of bioenergy enterprises based on interval fuzzy field model. Kybernetes 2023. doi: 10.1108/k-08-2023-1495

8. Zhao X, Wei X. Research on the effect and mechanism of regional green development in digital economy—Based on the intermediary effect of technological innovation and industrial upgrading (Chinese). Journal of Southwest University (Natural Science Edition) 2023; 45(8): 21–30. doi: 10.13718/j.cnki.xdzk.2023.08.003

9. Yao Y, Zhang Y, Xie Y. Evaluation system and empirical study of green development in urban and rural construction (Chinese). Intelligent City 2023; 9(9): 64–67. doi: 10.19301/j.cnki.zncs.2023.09.019

10. Huang J, Xu Z. Spatial effect and transmission mechanism of technological innovation on green development: Based on the empirical evidence of the Yangtze River Delta urban agglomeration (Chinese). Journal of Industrial Technology and Economy 2024; 43(2): 98–105.

11. Yin S, Liu L, Mahmood T. New trends in sustainable development for Industry 5.0: Digital green innovation economy. Green and Low-Carbon Economy 2023. doi: 10.47852/bonviewglce32021584

12. Lv W. Create institutional mechanisms and policy environment conducive to green development (Chinese). Economic Review Journal 2016; 2: 4–8. doi: 10.16528/j.cnki.22-1054/f.201602004

13. Lv X, Wang Y, Liu L, et al. Digital green innovation economy for Industry 5.0. Sustainable Economies 2024; 2(1): 8. doi: 10.62617/se.v2i1.8

14. Li J, Xu B. “Curse” or “Gospel”: How does resource abundance affect China’s green economic growth (Chinese). Economic Research Journal 2018; 53(9): 151–167.

15. Bob H, Mary L. 1991-1992 Green Index: Evaluation of Environmental Quality in US States (Chinese). Beijing Normal University Press; 2011.

16. Zhou W. Does regional market integration improve the efficiency of urban green development: Empirical analysis based on the unified large market in the Yangtze River Delta (Chinese). Lanzhou Academic Journal 2024; 3: 28–45.

17. Zhu J, Wang T, Du Y. Study on the efficiency and influencing factors of green development in Shandong Province (Chinese). Territory & Natural Resources Study 2024; 2: 37–41. doi: 10.16202/j.cnki.tnrs.2024.02.008

18. Zhang W, Deng L, Yin C. Evaluation of green economic efficiency and analysis of influencing factors in major node cities of “Belt and Road” (Chinese). Inquiry into Economic Issues 2017; 11: 84–90.

19. Wang X, Wei Q, Yang X. Dynamic evaluation of urban green economy efficiency and influencing factors—Based on the data analysis of 285 cities at or above the prefecture level (Chinese). Ecological Economy 2017; 33(2): 68–71.

20. Wang Q, Hu A, Xin Y. Can the digital economy promote green development: Empirical test based on energy saving, emission reduction and efficiency enhancement mechanism (Chinese). Journal of Business Economics 2022; 11: 44–59. doi: 10.14134/j.cnki.cn33-1336/f.2022.11.004

21. Rugman AM, Verbeke A. Corporate strategies and environmental regulations: An organizing framework. Strategic Management Journal 1998; 19(4): 25–36. doi: 10.1002/(SICI)1097-0266(199804)19:4<363::AID-SMJ974>3.0.CO;2-H

22. Wang D, Zhu B, Tao Z. The coupled coordination study of green development and common prosperity (Chinese). Journal of Nanning Normal University (Philosophy and Social Sciences Edition) 2024; 45(1): 63–80. doi: 10.16601/j.cnki.issn2096-7349.2024.01.006

23. Wu L, Chen W, Lin L, Feng Q. Research on the influence of innovation and green technology innovation on enterprise total factor productivity (Chinese). Journal of Applied Statistics and Management 2021; 40(2): 319–333. doi: 10.13860/j.cnki.sltj.20200818-007

24. Zeng X. Regional environmental efficiency and its impact factors in China (Chinese). Economic Theory and Business Management 2011; 10: 103–110.

25. Huang J, Lu H, Wang L. The mechanism of financial development affecting regional green development is based on ecological efficiency and spatial measurement (Chinese). Geographical Research 2014; 33(3): 532–545.

26. Li S, Zhou T, Fan L. Urban green development and influencing factors of the Yangtze River Economic Belt (Chinese). Statistics & Decision 2019; 35(15): 121–125. doi: 10.13546/j.cnki.tjyjc.2019.15.028

27. Yu Y, Yin S, Zhang A. Clean energy-based rural low carbon transformation considering the supply and demand of new energy under government participation: A three-participators game model. Energy Reports 2022; 8: 12011–12025. doi: 10.1016/j.egyr.2022.09.037

28. Tapscott D. The Digital Economy: Promise and Peril in the Age of Networked Intelligence. Mc Graw-Hill; 1996.

29. Ding Z. Reform of traditional industries driven by information consumption: Basic connotation and internal mechanism (Chinese). Economist 2020; 3: 87–94. doi: 10.16158/j.cnki.51-1312/f.2020.03.009

30. Dahlman C, Mealy S, Wermelinger M. Harnessing the digital economy for developing countries. OECD Development Centre Working Papers 2016; 3: 11–15.

31. Chen X, Li Y, Song L, Wang Y. The theoretical system and

32. research prospect of digital economy (Chinese). Journal of Management World 2022; 38(2): 208–224+13–16. doi: 10.19744/j.cnki.11-1235/f.2022.0020

33. Li X. The endogenous impetus for the development of digital economy in China (Chinese). People’s Tribune 2023; 17: 26–30.

34. Zhang K, Yang D, Zhao H, et al. Digital economy is a new driving force to promote regional economic development (Chinese). Regional Economic Review 2022; 3: 8–19. doi: 10.14017/j.cnki.2095-5766.2022.0061

35. Li W. Digital economy enables high-quality development of rural tourism: Research on dynamic mechanism and path (Chinese). Foreign Economic Relations & Trade 2024; 2: 78–81+157.

36. Che S, Wang Q. Change and path selection of the high-quality development of cultural industry in the era of digital economy (Chinese). Academic Exchange 2022; 1: 114–125+192.

37. Zhou Y. Digital economy promotes common prosperity: Advantage of development, risks and challenges, and practical paths (Chinese). Journal of Hubei University of Economics (Humanities and Social Sciences) 2024; 21(3): 10–13.

38. Xie P, He Z. Structure development, causes analysis and legal response of market risks of digital economy (Chinese). Journal of Yunnan University for Nationalities (Philosophy and Social Sciences Edition) 2024; 41(2): 108–114. doi: 10.13727/j.cnki.53-1191/c.20240305.007

39. Tang J. Risk performance and rule of law strategy in the sustainable development of digital economy (Chinese). The Journal of Humanities 2024; 2: 121–130. doi: 10.15895/j.cnki.rwzz.2024.02.003

40. Yin S, Zhao Y. An agent-based evolutionary system model of the transformation from building material industry (BMI) to green intelligent BMI under supply chain management. Humanities and Social Sciences Communications 2024; 11(1). doi: 10.1057/s41599-024-02988-5

41. Yin S, Zhao Z. Energy development in rural China toward a clean energy system: Utilization status, co-benefit mechanism, and countermeasures. Frontiers in Energy Research 2023; 11. doi: 10.3389/fenrg.2023.1283407