Subjective perceptions versus objective outcomes: Assessing the impact of smart city pilots on environmental quality in China

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-10-09 DOI:10.1016/j.techfore.2024.123799
Wenyin Cheng , Xin Ouyang , Anqi Yu , Zhiyang Shen , Michael Vardanyan
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Abstract

Despite extensive research on the impact of policy on objective outcomes of performance, the effects on subjective perceptions remain relatively unexplored, yet these are critical in shaping public behaviors and influencing policy makings. To address this gap, we investigate the impact of China's smart city pilots on both objective and subjective environmental performance, examining the underlying mechanisms involved. The empirical illustration is based on rich micro-level data and a difference-in-differences approach. Our results suggest that smart city initiatives have a negative and statistically significant impact on pollution. This reduction is facilitated through the spread of digital technologies and the increased adoption of energy technologies. However, smart city initiatives also reinforce subjective perceptions of environmental degradation. We find that information transmission, measured using the level of educational attainment, internet use and migration, plays an important role in shaping these subjective perceptions. Our study contributes to the literature on smart cities and research on gaps between objective outcomes and subjective perceptions, as well as information transmission theories, while our results offer multiple policy implications.
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主观感受与客观结果:评估中国智慧城市试点对环境质量的影响
尽管对政策对客观绩效结果的影响进行了广泛的研究,但对主观认知的影响仍相对较少,而这些影响对塑造公众行为和影响政策制定至关重要。为了弥补这一不足,我们研究了中国智慧城市试点对客观和主观环境绩效的影响,并探讨了其中的内在机制。实证说明基于丰富的微观数据和差分法。我们的研究结果表明,智慧城市措施对污染有负面影响,且在统计上有显著意义。数字技术的普及和能源技术采用的增加促进了污染的减少。然而,智慧城市计划也会强化人们对环境恶化的主观感受。我们发现,以教育程度、互联网使用和移民水平衡量的信息传播在形成这些主观认知方面发挥了重要作用。我们的研究为有关智慧城市的文献、客观结果与主观认知之间差距的研究以及信息传递理论做出了贡献,同时我们的研究结果还提供了多种政策影响。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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