Smart City Projects Financing

Michael Hedegaard, A. Kuzior, O. Tverezovska, Larisa L. Hrytsenko, Svitlana Kolomiiets
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Abstract

The implementation of advanced digital technologies and innovations in smart cities for the provision of more efficient, sustainable, and inclusive city services, the development of infrastructure, and the improvement of citizens’ quality of life require appropriate financing technologies. In addition to purely public (for example, green bonds, social impact bonds, state subsidies, etc.) and purely private (venture investments, leasing, etc.) financial instruments, various options for public-private partnerships and financing with and against the participation of the community (participatory ), which increase the efficiency of budget financing due to the agreed distribution of risks and responsibilities between stakeholders. The bibliometric analysis of publications indexed by Scopus using the keywords “smart city” and “public-private partnership” using the VOSviwer tool allowed establishing the periods of growth (2013-2019 and 2022-2023) and decline (2019-2022) of the popularity of this topic among scientists, countries-leaders of research activity (USA, India, China, Italy, Spain, Great Britain, Canada and Germany), dominant directions of cross-sectoral research. The analysis of the Smart City Index Report (IMD Smart City Index Report) showed that in 2023, the top 5 leaders were Switzerland (Zurich), Norway (Oslo), Australia (Canberra), Denmark (Copenhagen), and Great Britain (London). With the help of the Google Trends toolkit, an analysis of the dynamics of Internet requests over the past 10 years from citizens of these countries, as well as Ukraine and the world, was carried out using identical keywords. The analysis proved that both in these countries and in the world as a whole, public interest in the development of the smart grid was recorded (in Ukraine, the highest peak (100 GT Scale) was in 2019; in Great Britain and Switzerland – in 2018, in Denmark – in 2017 and 2022, in Australia and Norway – in 2016) against the background of an almost absolute (except for Great Britain and Australia) lack of public interest in issues of public-private partnership. A regression model was developed to study the impact of participatory financing on the readiness level of Ukraine’s regions (as of 2020) to implement smart local development technologies. An integral indicator was used as the resulting variable, within which data on the assessment of the availability of electronic public services and the level of automation and digitization of public services (the number of state and local self-government bodies that provided the possibility of using electronic democracy tools), the level of use electronic platforms for communication with state bodies (the number of registered “E-appeals”, published “E-petitions” and reports on “E-consultations”), the availability of the Internet (the number of Internet subscribers and the share of households that have access to Internet services home). In the modeling process, adjustments were made for the gross regional product and the population of the respective region, the weighting factors were determined by the method of principal components, the estimation of the model parameters was carried out by the method of least squares, the calculations were made using the MS Excel spreadsheet and the Statistica application program package.
智慧城市项目融资
在智慧城市中实施先进的数字技术和创新,以提供更高效、更可持续和更具包容性的城市服务,发展基础设施,提高市民的生活质量,需要适当的融资技术。除了纯粹的公共(如绿色债券、社会影响债券、国家补贴等)和纯粹的私人(风险投资、租赁等)金融工具外,还有各种公私合作伙伴关系以及有社区参与和无社区参与(参与式)的融资方案,由于利益相关者之间商定了风险和责任分配,这些方案提高了预算融资的效率。利用 VOSviwer 工具,使用关键词 "智慧城市 "和 "公私合作伙伴关系 "对 Scopus 索引的出版物进行文献计量分析,确定了该主题在科学家、研究活动领先国家(美国、印度、中国、意大利、西班牙、英国、加拿大和德国)、跨部门研究主导方向中的增长期(2013-2019 年和 2022-2023 年)和下降期(2019-2022 年)。智能城市指数报告》(IMD Smart City Index Report)的分析显示,2023 年,排名前五的国家分别是瑞士(苏黎世)、挪威(奥斯陆)、澳大利亚(堪培拉)、丹麦(哥本哈根)和英国(伦敦)。在谷歌趋势工具包的帮助下,使用相同的关键词对这些国家以及乌克兰和全世界公民过去 10 年的互联网请求动态进行了分析。分析结果表明,无论是在这些国家还是在全世界,公众对智能电网发展的兴趣都很高(在乌克兰,最高峰(100 GT 规模)出现在 2019 年;在英国和瑞士,最高峰出现在 2018 年;在丹麦,最高峰出现在 2017 年和 2022 年;在澳大利亚和挪威,最高峰出现在 2016 年),而公众对公私合作问题的兴趣几乎是绝对缺乏的(英国和澳大利亚除外)。为研究参与式融资对乌克兰各地区(截至 2020 年)实施智能地方发展技术的准备程度的影响,我们建立了一个回归模型。在该模型中使用了一个综合指标作为变量,其中包括对电子公共服务可用性以及公共服务自动化和数字化水平的评估数据(提供使用电子民主工具可能性的国家和地方自治机构的数量)、使用电子平台与国家机构沟通的水平(登记的 "电子申诉"、发布的 "电子请愿 "和 "电子协商 "报告的数量)、互联网的可用性(互联网用户数量和可在家中使用互联网服务的家庭比例)。在建模过程中,对各地区的地区生产总值和人口进行了调整,用主成分法确定了加权系数,用最小二乘法对模型参数进行了估计,并使用 MS Excel 电子表格和 Statistica 应用程序包进行了计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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