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Nonlinearities in the institutions-growth relationship in a dynamic panel data framework: Evidence from China’s provinces 动态面板数据框架下制度与增长关系的非线性:来自中国各省的证据
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-11-04 DOI: 10.1016/j.chieco.2025.102583
Linda Glawe
It is by now a well-established fact that good institutions are key to long-run economic performance. However, there is also a growing body of literature that argues that the nature of the interaction between institutional quality and economic growth is complex and might not always be positive and linear. Our paper contributes to this discussion by focusing on China, which has achieved remarkable growth over three decades despite relatively low institutional quality. In particular, we analyze potential nonlinearities in the institutions-growth relationship across Chinese provinces within a dynamic panel data framework using Fan et al.’s NERI marketization index and system GMM estimation techniques. Our findings show that improvements in institutions are harmful to economic growth at very low levels of institutional quality. This attenuating-growth effect persists until a critical threshold is reached; beyond this threshold, the positive effect of institutional quality on growth starts to unfold and continues rising up to a second threshold after which diminishing marginal returns of institutional quality start to manifest. Importantly, our findings are robust when using an alternative measure of economic activity, namely satellite night-time lights. Our findings have important policy implications for China and other developing countries that are seeking to enhance their economic growth prospects through institutional reform.
良好的制度是长期经济表现的关键,这是一个公认的事实。然而,也有越来越多的文献认为,制度质量和经济增长之间相互作用的本质是复杂的,可能并不总是积极和线性的。我们的论文通过关注中国来促进这一讨论,中国在过去三十年中取得了显著的增长,尽管制度质量相对较低。特别地,我们使用Fan等人的NERI市场化指数和系统GMM估计技术,在动态面板数据框架内分析了中国各省制度-增长关系的潜在非线性。我们的研究结果表明,在制度质量非常低的情况下,制度的改善对经济增长是有害的。这种衰减-增长效应一直持续到达到临界阈值;超过这个阈值,制度质量对增长的积极影响开始显现,并继续上升到第二个阈值,在这个阈值之后,制度质量的边际收益递减开始显现。重要的是,当使用另一种衡量经济活动的方法,即卫星夜间灯光时,我们的发现是稳健的。我们的研究结果对中国和其他正在寻求通过制度改革提高经济增长前景的发展中国家具有重要的政策意义。
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引用次数: 0
FinTech and consumption resilience to uncertainty shocks: Evidence from digital wealth management in China 金融科技与消费抵御不确定性冲击的能力:来自中国数字财富管理的证据
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-11-03 DOI: 10.1016/j.chieco.2025.102580
Jialin Liu , Lin Li , Dong Lu , Meihe E.
Developing countries are taking advantage of FinTech tools to provide more people with convenient access to financial market investment through digital wealth management. Using COVID-19 as an uncertainty shock, we examine whether and how digital wealth management affects the resilience of consumption to shocks based on a unique micro dataset provided by Alipay, a leading Big Tech platform in China. We find that digital wealth management mitigates the response of consumption to uncertainty shocks: residents who participate in digital wealth management, especially in risky asset investments, experience a lower reduction in consumption. The mitigation effect works through two channels: those who allocate a larger proportion of risky assets in their portfolio (portfolio choice channel) and obtain a higher realized return (changes in asset prices channel) exhibit greater consumption resilience to negative shocks. Importantly, digital wealth management helps improve financial inclusion, with a more pronounced mitigation effect among residents with lower-level wealth, living in less developed areas, and those with lower-level conventional finance accessibility. We also find that digital wealth management substitutes for conventional bank credit but serves as a complement to FinTech credit in smoothing consumption during uncertainty shocks.
发展中国家正在利用金融科技工具,通过数字财富管理为更多人提供便利的金融市场投资渠道。我们以2019冠状病毒肺炎为不确定性冲击,基于中国领先的大型科技平台支付宝提供的独特微数据集,研究数字财富管理是否以及如何影响消费抵御冲击的能力。我们发现,数字财富管理减轻了消费对不确定性冲击的反应:参与数字财富管理的居民,特别是在风险资产投资方面,消费的减少程度较低。缓解效应通过两个渠道发挥作用:那些在投资组合中配置风险资产比例较大(投资组合选择渠道)并获得较高实现回报(资产价格变化渠道)的人对负面冲击表现出更大的消费弹性。重要的是,数字财富管理有助于改善普惠金融,在财富水平较低、生活在欠发达地区以及传统金融可及性较低的居民中,缓解效应更为明显。我们还发现,数字财富管理替代了传统的银行信贷,但作为金融科技信贷的补充,在不确定性冲击期间平滑消费。
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引用次数: 0
Booming costs, boozing habits: How soaring housing prices drive smoking and drinking in China 飞速增长的成本,酗酒的习惯:飞涨的房价如何推动中国的吸烟和饮酒
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-11-01 DOI: 10.1016/j.chieco.2025.102591
Jiao Wang , Dianzhang Zou , Yi Chen , Jingwen Xue
Despite the high prevalence of smoking and drinking in China, the drivers of these behaviors have received limited attention. This study examines the impact of rising housing prices on residents' smoking and drinking habits and investigates the underlying mechanisms. Our findings indicate that rising housing prices significantly increase smoking and alcohol consumption among adult Chinese men. Specifically, a 10 % increase in housing prices is associated with an average 3.85 % rise in the probability of smoking, an increase of 0.73 cigarettes smoked per day, and a 3.9 % increase in the likelihood of frequent drinking. The key mechanism driving this increase is the stress-relief effect. Specifically, men facing heightened mating market pressure as well as among those with lower levels of education and income exhibit higher tobacco and alcohol consumption in response to rising housing prices. Although smoking and drinking are employed as coping mechanisms for stress, these behaviors exacerbate physical health issues without improving mental health. This paper provides robust empirical evidence from China, illustrating that mental stress induced by escalating housing costs is a key driver of increased tobacco and alcohol use.
尽管吸烟和饮酒在中国非常普遍,但这些行为的驱动因素却受到了有限的关注。本研究考察了房价上涨对居民吸烟和饮酒习惯的影响,并探讨了潜在的机制。我们的研究结果表明,房价上涨显著增加了中国成年男性的吸烟和饮酒消费。具体来说,房价每上涨10%,吸烟的可能性就会平均上升3.85%,每天吸烟的可能性会增加0.73支,频繁饮酒的可能性会增加3.9%。驱动这种增长的关键机制是应力释放效应。具体来说,面对更高的婚恋市场压力的男性,以及受教育程度和收入水平较低的男性,在房价上涨的情况下,会表现出更高的烟酒消费。虽然吸烟和饮酒被用来作为应对压力的机制,但这些行为会加剧身体健康问题,而不会改善精神健康。本文提供了来自中国的强有力的经验证据,说明住房成本上升引起的精神压力是烟草和酒精使用增加的关键驱动因素。
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引用次数: 0
Cognitive ability, non-cognitive ability and occupational attainment in China 中国的认知能力、非认知能力与职业素养
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-11-01 DOI: 10.1016/j.chieco.2025.102590
Xi Chen, Ziqi Wang
We investigate the roles of cognitive and non-cognitive abilities in predicting occupational choice and earnings in China using data from the China Family Panel Studies. Cognitive ability is assessed using scores from cognitive tests, while non-cognitive ability is measured using the Big Five factors, as well as the respondents’ locus of control, and economic preferences involving risk, trust, and patience. Our findings reveal that both cognitive and non-cognitive abilities are significantly associated with occupational choice, and different occupations exhibit distinct reward patterns for these abilities. Moreover, we observe interactive effects between cognitive and non-cognitive abilities in shaping occupational earnings. While our results indicate occupation-specific patterns in the importance of cognitive and non-cognitive abilities, they also highlight the significant role of the personality trait openness to experience in predicting both occupational choices and earnings in China’s labor market.
我们使用来自中国家庭面板研究的数据来研究认知和非认知能力在预测中国职业选择和收入中的作用。认知能力是用认知测试的分数来评估的,而非认知能力是用五大因素、受访者的控制点和经济偏好(包括风险、信任和耐心)来衡量的。研究结果表明,认知能力和非认知能力都与职业选择有显著的相关性,不同的职业对这些能力表现出不同的奖励模式。此外,我们观察到认知和非认知能力在塑造职业收入方面的相互作用。虽然我们的研究结果显示了认知和非认知能力的重要性在职业上的特定模式,但它们也强调了人格特质对经验的开放性在预测中国劳动力市场的职业选择和收入方面的重要作用。
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引用次数: 0
Next stop innovation: Subway stations opening and spatial agglomeration of high-tech enterprises 下一站创新:地铁站开放与高新技术企业空间集聚
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-10-31 DOI: 10.1016/j.chieco.2025.102585
Meng Shen , Hongfu Li , Liyuan Ma , Jie Wu
The establishment and improvement of public transport systems, particularly subways, are reshaping the spatial distribution of high-tech enterprises in cities. We employed a time-varying difference-in-differences method to investigate the agglomeration of high-tech enterprises in the vicinity of 363 Beijing subway stations opened between 2000 and 2022. Our findings reveal that the opening of the subway stations resulted in a significant increase in the number of high-tech enterprises in the surrounding areas. The construction of subway lines effectively increased accessibility to the outer city and significantly enhanced innovative activities in the peripheral areas, while having no significant impact on the inner city. Subway stations connected to the original innovation center had a more pronounced effect on innovation compared to other stations.
公共交通系统,特别是地铁的建立和完善,正在重塑城市高新技术企业的空间分布。采用时变差分法对2000 - 2022年开通的363个北京地铁站点周边的高新技术企业集聚进行了研究。我们的研究结果表明,地铁站点的开通导致了周边地区高科技企业数量的显著增加。地铁线路的建设有效增加了外城的可达性,显著增强了周边地区的创新活动,而对内城没有显著影响。与原创新中心相连的地铁站对创新的影响比其他地铁站更为明显。
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引用次数: 0
The role of experience in climate adaptation: Evidence from a field experiment in China 经验在气候适应中的作用:来自中国野外试验的证据
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-10-30 DOI: 10.1016/j.chieco.2025.102589
Yihong Ding , Elizabeth Robinson , Kelvin Balcombe
This paper extends the existing individual decision-making framework of adapting to climate change by considering the effects of prior personal experience in shaping risk preferences. Conducting Prospect Theory-based “lab-in-field” risk experiments in rural areas of Xinjiang Province, we elicit Chinese farmers' risk curvature and probability bias by adopting more flexible Prelec's two-parameter probability functions. Using Bayesian approaches to estimation, we find that farmers' prior experiences not only provide information that influences the subjective distributions of future outcomes but also, by shaping farmers' personal risk preferences, affects how farmers absorb and update this information. As such, our research suggests that individual risk preferences can evolve, and the effects of personal experience on preferences exhibit distinct patterns depending on whether farmers face benefits or losses. Experiencing production damages tends to make farmers more averse to losses and increases their optimistic bias concerning personal loss risks. A policy implication of these findings is that it is crucial to reduce farmers' cognitive biases regarding their own climate-related losses and their over-reliance on personal experiences in order to make accurate risk management decisions.
本文通过考虑先前的个人经验对形成风险偏好的影响,扩展了现有的适应气候变化的个人决策框架。在新疆省农村开展基于前景理论的“实验室-田间”风险实验,采用更灵活的Prelec双参数概率函数,推导出中国农民的风险曲率和概率偏差。使用贝叶斯方法进行估计,我们发现农民的先验经验不仅提供了影响未来结果主观分布的信息,而且通过塑造农民的个人风险偏好,影响农民如何吸收和更新这些信息。因此,我们的研究表明,个体的风险偏好是可以进化的,个人经历对偏好的影响表现出不同的模式,这取决于农民面临的是利益还是损失。经历生产损失往往使农民更厌恶损失,并增加他们对个人损失风险的乐观偏见。这些发现的一个政策含义是,为了做出准确的风险管理决策,减少农民对自身气候相关损失的认知偏见和对个人经验的过度依赖至关重要。
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引用次数: 0
A generative artificial intelligence approach to tracking Chinese Mainland's housing market sentiment using social media data 利用社交媒体数据跟踪中国内地房地产市场情绪的生成式人工智能方法
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-10-30 DOI: 10.1016/j.chieco.2025.102588
Zhang Wu, Michael Cheng, Philip Ng, Yixuan Wang
This paper develops a daily housing market sentiment index that leverages Chinese social media data and generative Artificial Intelligence (GenAI). We adopt a human-in-the-loop methodology and find that the GenAI assessments align closely with human evaluations. Compared to conventional methods, GenAI also offers methodological advantages and arguably provides a more reliable measurement of sentiment. Our empirical analysis demonstrates that the GenAI-driven sentiment index effectively captures public sentiment trends and robustly drives property sales. Furthermore, we utilise GenAI's strong comprehension abilities to identify cities mentioned in microblogs, thereby creating more granular sentiment indices at the city level. These city-level sentiment indices prove useful in predicting local property sales and revealing significant sentiment spillovers from major to smaller cities. Our research offers policymakers enhanced tools for timely market monitoring and underscores the transformative potential of GenAI in research and macroeconomic surveillance, enabling the analysis of previously unmanageable big and unstructured data.
本文利用中国社交媒体数据和生成式人工智能(GenAI)开发了一个每日房地产市场情绪指数。我们采用了人在循环的方法,发现GenAI评估与人类评估密切一致。与传统方法相比,GenAI在方法上也有优势,可以提供更可靠的情绪测量。我们的实证分析表明,genai驱动的情绪指数有效地捕捉了公众情绪趋势,并有力地推动了房地产销售。此外,我们利用GenAI强大的理解能力来识别微博中提到的城市,从而在城市层面创建更细粒度的情感指数。事实证明,这些城市层面的情绪指数有助于预测当地房地产销售,并揭示从大城市到小城市的重大情绪溢出效应。我们的研究为决策者提供了及时监测市场的增强工具,并强调了GenAI在研究和宏观经济监测方面的变革潜力,使分析以前无法管理的大数据和非结构化数据成为可能。
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引用次数: 0
Social norms alleviate the disadvantaged positions of elderly people in charity markets 社会规范缓解了老年人在慈善市场中的弱势地位
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-10-28 DOI: 10.1016/j.chieco.2025.102587
Xinrui Wu , Ziming Liu , Shuyi Feng
Charitable giving is an important supplement to social insurance programs. However, potential recipients of different ages may have unequal access to charitable donations. This study uses discrete choice experiments to investigate how the age of potential recipients may affect individuals' willingness to donate, and it uses survey experiments to examine the nudge effects of social norms on individuals' preferences for donating to elderly people. The results from 1146 Chinese internet users show that a one-year increase in the age of potential recipients decreases individuals' willingness to donate by approximately 2.094 CNY. Relative to a 20-year-old potential recipient, donors' willingness to give decreases by 54.358, 98.028, and 152.862 CNY for recipients aged 45, 70, and 90, respectively. Descriptive social norms and injunctive social norms can nudge individuals' willingness to donate to elderly people, increasing the marginal willingness to pay by 1.487 and 0.803 CNY, respectively. This work documents the disadvantaged positions of elderly people in charity markets and provides insights for promoting donation to elderly people in aging societies.
慈善捐赠是对社会保险制度的重要补充。然而,不同年龄的潜在接受者获得慈善捐赠的机会可能不平等。本研究采用离散选择实验考察了潜在受赠者的年龄对个人捐赠意愿的影响,并采用调查实验考察了社会规范对个人对老年人捐赠偏好的助推效应。对1146名中国互联网用户的调查结果显示,潜在受赠人的年龄每增加一岁,个人捐赠意愿就会减少约2.094元。相对于20岁的潜在受赠人,45岁、70岁和90岁受赠人的捐赠意愿分别下降了54.358元、98.028元和152.862元。描述性社会规范和禁令性社会规范可以推动个体对老年人的捐赠意愿,边际支付意愿分别增加1.487元和0.803元。这项工作记录了老年人在慈善市场中的弱势地位,为在老龄化社会中促进对老年人的捐赠提供了见解。
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引用次数: 0
Socioeconomic status and inequalities in early development of non-cognitive skills: Evidence from China 非认知技能早期发展中的社会经济地位和不平等:来自中国的证据
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-10-28 DOI: 10.1016/j.chieco.2025.102586
Dongqin Wang , Minghong Shen , Xiaogang Wu
Non-cognitive skills are a critical component of human capital. This paper investigates the associations between socioeconomic status (SES) and early childhood non-cognitive development, using data from the Survey of Early Education, Development, and Strengths (SEEDS) conducted among kindergarten-aged children in Hangzhou, China. Using a machine learning approach with the Ages and Stages Questionnaire: Social-Emotional (ASQ:SE), we identify a high family annual income and parental university education as the strongest indicators linked to non-cognitive skill development. Employing OLS and fixed effects models, we find robust positive associations between these SES factors and children's non-cognitive outcomes. Children from high-income households with university-educated parents exhibit the highest skill levels across domains such as communication, self-regulation, autonomy, and socialization—a pattern of “double advantage.” Our analysis further reveals that parenting styles and financial investments are closely related to these disparities. These findings highlight the need for policies targeting multidimensional SES barriers to mitigate early-life inequalities and promote human capital development and socioeconomic mobility.
非认知技能是人力资本的重要组成部分。本文利用杭州市幼儿园幼儿早期教育、发展与优势调查(SEEDS)的数据,研究了社会经济地位(SES)与幼儿非认知发展之间的关系。使用年龄和阶段问卷:社会情感(ASQ:SE)的机器学习方法,我们确定高家庭年收入和父母的大学教育是与非认知技能发展相关的最强指标。采用OLS和固定效应模型,我们发现这些社会经济地位因素与儿童的非认知结果之间存在显著的正相关。父母受过大学教育的高收入家庭的孩子在沟通、自我调节、自主和社交等领域表现出最高的技能水平——一种“双重优势”模式。我们的分析进一步表明,父母教养方式和财务投资与这些差异密切相关。这些发现突出表明,需要制定针对多维社会经济地位障碍的政策,以减轻早期生活不平等,促进人力资本开发和社会经济流动性。
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引用次数: 0
Improving education levels of BRI participating economies: Evidence from the Education Action Plan for the Belt and Road Initiative 提升“一带一路”参与经济体教育水平:来自“一带一路”教育行动计划的证据
IF 5.5 1区 经济学 Q1 ECONOMICS Pub Date : 2025-10-28 DOI: 10.1016/j.chieco.2025.102584
Yue Pu , Xinyi Zeng , Tao Chen
As a pivotal measure for educational internationalization, the Education Action Plan for the Belt and Road Initiative (BRI) is of great significance for promoting educational equity and fostering the common development of education in BRI participating countries and regions. Based on sample data from 191 economies spanning 2010 to 2023, this study adopts the difference-in-differences (DID) method to evaluate the impact of the Education Action Plan for the BRI on the educational attainment of BRI participating economies. The empirical results reveal that the Education Action Plan for the BRI significantly improves the education levels of BRI participating countries and regions, and the conclusion is robust. Heterogeneity analysis shows that the policy's impact is more effective for females, developing economies, and non-adjacent BRI economies. Finally, the mechanism analysis indicates that the Education Action Plan for the BRI mainly improves the education levels of BRI participating economies through international students' education in China, cultural product trade, and vocational education.
《“一带一路”教育行动计划》作为教育国际化的关键举措,对于促进“一带一路”沿线国家和地区教育公平、促进教育共同发展具有重要意义。基于2010 - 2023年191个经济体的样本数据,本研究采用差异中差异(DID)方法评估了“一带一路”教育行动计划对参与经济体受教育程度的影响。实证结果表明,《“一带一路”教育行动计划》显著提高了参与国和地区的教育水平,结论具有稳健性。异质性分析表明,该政策对女性、发展中经济体和非相邻“一带一路”经济体的影响更为有效。最后,机制分析表明,《“一带一路”教育行动计划》主要通过来华留学生教育、文化产品贸易和职业教育提升“一带一路”参与经济体的教育水平。
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引用次数: 0
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中国经济评论
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