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学者姓名：段锴丰
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Land resources are crucial yet limited inputs in economic activities, with significant implications for both economic development and public sector behaviour. This study investigates how land resource supply affects local government actions, using the place-biased land supply policy (PBLP) introduced in 2004 as a quasi-natural experiment. Through a propensity score matching and difference-in-differences (PSM-DID) approach, this study finds that cities facing land supply restrictions under PBLP experienced slower GDP growth alongside higher pollutant emissions. These effects remain robust across alternative variable measures, accounting for other policies, and varying matching techniques. The slowdown in economic growth is primarily driven by reduced fixed assets and foreign investment, prompting local governments to relax environmental regulations to boost short-term growth. These findings highlight the unintended consequences of administrative land policies on social welfare, revealing the complex dynamics between land supply, government behaviour, and socio-economic outcomes.
Keyword ：
Biased land policy Biased land policy China China economic growth economic growth environmental quality environmental quality O13 O13 Q56 Q56 R52 R52
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| GB/T 7714 | Jiang, Yan , Zhang, Xiaodong , Yang, Lun et al. The impact of biased land resource allocation on local behaviour and subnational service provision: evidence from China [J]. | APPLIED ECONOMICS , 2024 . |
| MLA | Jiang, Yan et al. "The impact of biased land resource allocation on local behaviour and subnational service provision: evidence from China" . | APPLIED ECONOMICS (2024) . |
| APA | Jiang, Yan , Zhang, Xiaodong , Yang, Lun , Duan, Kaifeng . The impact of biased land resource allocation on local behaviour and subnational service provision: evidence from China . | APPLIED ECONOMICS , 2024 . |
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Extreme weather conditions caused by excessive carbon dioxide emissions have attracted the attention of governments worldwide. Agriculture is an important source of carbon emissions, and rural revitalization is an important strategy for promoting comprehensive rural development in China. The Yellow River Basin is an important ecological barrier and economic zone in China. Therefore, clarifying the impact of rural revitalization on agricultural carbon emissions in the region is of great significance for the high-quality development of the Yellow River Basin and the low-carbon development of agriculture. Based on the panel data of 88 prefecture-level cities in the Yellow River Basin from 2001 to 2021, we established evaluation indicators for rural revitalization, measured rural revitalization in the Yellow River Basin using the entropy method, calculated agricultural carbon emissions in the Yellow River Basin using the IPCC carbon emission factor method, adopted a spatial econometric model and threshold regression model to analyze the impact and spatial spillover effect of rural revitalization on agricultural carbon emissions in the Yellow River Basin, and analyzed the nonlinear relationship and regional heterogeneity between them. Results showed that rural revitalization, and agricultural carbon emissions had spatial clustering characteristics of the same type. The spatial econometric model results showed that rural revitalization had a significant promotional effect on agricultural carbon emissions, while exhibiting a significant negative spatial spillover effect. Additionally, industrial structure and urbanization rate had a negative impact on agricultural carbon emissions, while the planting scale, fertilizer application intensity, and agricultural economic development had a positive impact on agricultural carbon emissions. The industrial structure, planting scale, and fertilizer application intensity had a negative spatial spillover effect on agricultural carbon emissions, while urbanization rate and agricultural economic development had a positive spatial spillover effect on agricultural carbon emissions. The threshold model results showed that rural revitalization had a threshold effect on agricultural technological progress in terms of agricultural carbon emissions. When agricultural technological progress exceeded the threshold, the impact of rural revitalization on agricultural carbon emissions changed from positive to negative. From the perspective of heterogeneity, rural revitalization had significant heterogeneity in agricultural carbon emissions; specifically, rural revitalization had an inhibitory effect on agricultural carbon emissions in the major grain-producing areas, whereas it had a promotional effect on agricultural carbon emissions in non-major grain-producing areas. Regarding geographic location, rural revitalization had an inhibitory effect on agricultural carbon emissions in the middle and lower reaches of the Yellow River Basin and a promotional effect in the upper reaches of the Yellow River Basin. This study provides a theoretical reference and policy basis for promoting rural revitalization strategies and low-carbon agricultural development in the Yellow River Basin. © 2024 Science Press. All rights reserved.
Keyword ：
Agricultural carbon emissions Agricultural carbon emissions Rural revitalization Rural revitalization Spatial Durbin Model Spatial Durbin Model Threshold effect Threshold effect Yellow River Basin Yellow River Basin
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| GB/T 7714 | Zhao, J. , Du, Y. , Ren, S. et al. Spatial spillover and threshold effects of rural revitalization on agricultural carbon emissions in the Yellow River Basin; [乡村振兴对黄河流域农业碳排放的空间溢出及门槛效应研究] [J]. | Chinese Journal of Eco-Agriculture , 2024 , 32 (10) : 1766-1779 . |
| MLA | Zhao, J. et al. "Spatial spillover and threshold effects of rural revitalization on agricultural carbon emissions in the Yellow River Basin; [乡村振兴对黄河流域农业碳排放的空间溢出及门槛效应研究]" . | Chinese Journal of Eco-Agriculture 32 . 10 (2024) : 1766-1779 . |
| APA | Zhao, J. , Du, Y. , Ren, S. , Duan, K. , Ren, R. . Spatial spillover and threshold effects of rural revitalization on agricultural carbon emissions in the Yellow River Basin; [乡村振兴对黄河流域农业碳排放的空间溢出及门槛效应研究] . | Chinese Journal of Eco-Agriculture , 2024 , 32 (10) , 1766-1779 . |
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The transition to a green, sustainable economy is largely reliant on corporate investment in the realm of environmental protection. Utilizing the adoption of the third phase of the Golden Tax Project (GTPIII) in China as a quasi-natural experiment, this paper examines how corporate environmental investment changes in response to greater tax enforcement. Our results reveal that tougher tax enforcement significantly lowers corporate environmental investment. Such an effect is stronger for firms faced by high financial constraints and those operating in non-heavy-polluting industries. Moreover, the mechanism analysis indicates that the higher tax burden induced by greater tax enforcement is the potential channel. Overall, this paper shows that stricter tax enforcement could potentially result in adverse spillover effects on corporate environmental investment, which warrants attention in tax collection practices.
Keyword ：
corporate environmental investment corporate environmental investment financial constraints financial constraints heavy-polluting industry heavy-polluting industry tax burden tax burden tax enforcement tax enforcement
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| GB/T 7714 | He, Lu , Xu, Lin , Duan, Kaifeng et al. Does tax enforcement reduce corporate environmental investment? evidence from a quasi-natural experiment [J]. | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2024 , 12 . |
| MLA | He, Lu et al. "Does tax enforcement reduce corporate environmental investment? evidence from a quasi-natural experiment" . | FRONTIERS IN ENVIRONMENTAL SCIENCE 12 (2024) . |
| APA | He, Lu , Xu, Lin , Duan, Kaifeng , Rao, Yulei , Zheng, Chuanzhen . Does tax enforcement reduce corporate environmental investment? evidence from a quasi-natural experiment . | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2024 , 12 . |
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The critical role of high-quality urban development and scientific land use in leveraging big data for air quality enhancement is paramount. The application of machine learning for causal inferences in research related to big data development and air pollution presents considerable potential. This study employs a double machine learning model to explore the impact of big data development on the PM2.5 concentration in 277 prefecture-level cities across China. This analysis is grounded in the quasi-natural experiment named the National Big Data Comprehensive Pilot Zone. The findings reveal a significant inverse relationship between big data development and PM2.5 levels, with a correlation coefficient of -0.0149, a result consistently supported by various robustness checks. Further mechanism analyses elucidate that big data development markedly diminishes PM2.5 levels through the avenues of enhanced urban development and land use planning. The examination of heterogeneity underscores big data's suppressive effect on PM2.5 levels across central, eastern, and western regions, as well as in both resource-dependent and non-resource-dependent cities, albeit with varying degrees of significance. This study offers policy recommendations for the formulation and execution of big data policies, emphasizing the importance of acknowledging local variances and the structural nuances of urban economies.
Keyword ：
big data development big data development double machine learning double machine learning high-quality urban development high-quality urban development land use land use PM2.5 PM2.5
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| GB/T 7714 | Wei, Xinyu , Cheng, Mingwang , Duan, Kaifeng et al. Effects of Big Data on PM2.5: A Study Based on Double Machine Learning [J]. | LAND , 2024 , 13 (3) . |
| MLA | Wei, Xinyu et al. "Effects of Big Data on PM2.5: A Study Based on Double Machine Learning" . | LAND 13 . 3 (2024) . |
| APA | Wei, Xinyu , Cheng, Mingwang , Duan, Kaifeng , Kong, Xiangxing . Effects of Big Data on PM2.5: A Study Based on Double Machine Learning . | LAND , 2024 , 13 (3) . |
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Keyword ：
carbon emission carbon emission climate change climate change environmental governance environmental governance low-carbon development low-carbon development urban-rural interaction urban-rural interaction
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| GB/T 7714 | Duan, K. , Li, H. , Wu, G. et al. Editorial: Carbon emission governance in the evolution process of urban-rural interaction [未知]. |
| MLA | Duan, K. et al. "Editorial: Carbon emission governance in the evolution process of urban-rural interaction" [未知]. |
| APA | Duan, K. , Li, H. , Wu, G. , Zhao, D. . Editorial: Carbon emission governance in the evolution process of urban-rural interaction [未知]. |
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This paper examines the existence and mechanism of China's liquidity trap. First, a broad money supply model is reconstructed to evaluate the effectiveness of monetary policy. Based on the observed data from 1997 to 2022 and first-order difference regression results, we find that: The relationship between the monetary base and broad money exhibits two distinct stages, with 2008 as a delineating point. Pre-2008, the money creation multiplier is significant; post-2008, it becomes insignificant. Second, by examining the asset-side and liability-side gaps of the financial system, we have identified two liquidity traps. The first occurs between 2015 and 2019, caused by funds idling within the financial system. The second occurs in 2020- and is caused by recessionary expectations. Monetary policy flexibility is waning, compelling strategic decisions for Chinese government and central bank.
Keyword ：
China China currency trap currency trap liquidity trap liquidity trap Monetary policy Monetary policy
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| GB/T 7714 | Duan, Kaifeng , Zheng, Chuanzhen , Shan, Yuan . Testing and mechanism identification of liquidity trap in China [J]. | APPLIED ECONOMICS LETTERS , 2024 . |
| MLA | Duan, Kaifeng et al. "Testing and mechanism identification of liquidity trap in China" . | APPLIED ECONOMICS LETTERS (2024) . |
| APA | Duan, Kaifeng , Zheng, Chuanzhen , Shan, Yuan . Testing and mechanism identification of liquidity trap in China . | APPLIED ECONOMICS LETTERS , 2024 . |
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科学把握城乡融合发展动力机制是解决中国城乡融合发展问题的关键，而城乡融合发展的动力因素则是其动力机制的主要内容。为此，该研究首先采用扎根理论提取了驱动城乡融合发展的关键动力因素，构建了城乡融合发展动力因素模型；随后采用解释结构模型（ISM），重点探究了城乡融合发展关键动力因素之间的影响关系，从而探明了城乡融合发展的关键驱动路径。研究发现：(1)“城乡融合发展动力机制”这一复杂系统主要包含13个关键动力因素，且可进一步被归纳为内生动力、外生动力、基础动力、协同动力和环境动力5大类。(2)城乡融合发展动力因素系统是一个包含5层动力因素的多级递阶结构。(3)城乡融合发展的关键驱动路径为“基础动力→外生动力→内生动力→城乡融合发展”，基于关键动力因素内涵分析的具体对应范畴为“战略发展环境→人才引进及培养→科技化和信息化→公共财政制度优化→城乡要素市场化程度→城乡融合发展”。在此基础上，提出了充分发挥市场在城乡资源要素配置方面的功能、持续转化政府经济职能、借力新型信息技术赋能城乡社会治理模式创新、加强城乡协同合作充分释放协同治理效能、因区施策制定相应的发展战略、强化顶层设计等促进城乡融合发展的相关政策建议。
Keyword ：
动力因素 动力因素 城乡融合发展 城乡融合发展 扎根理论 扎根理论 解释结构模型 解释结构模型 驱动路径 驱动路径
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| GB/T 7714 | 段锴丰 , 施建刚 , 吴光东 et al. 城乡融合发展的动力因素及其驱动路径 [J]. | 中国人口·资源与环境 , 2024 , 34 (01) : 150-161 . |
| MLA | 段锴丰 et al. "城乡融合发展的动力因素及其驱动路径" . | 中国人口·资源与环境 34 . 01 (2024) : 150-161 . |
| APA | 段锴丰 , 施建刚 , 吴光东 , 华雯雯 . 城乡融合发展的动力因素及其驱动路径 . | 中国人口·资源与环境 , 2024 , 34 (01) , 150-161 . |
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Industrial structure upgrading (ISU) is a crucial step towards achieving low-carbon development for China. This paper aims to assess the influence of ISU on agricultural carbon emissions (ACE), and unveil its underlying mechanism. By employing the Spatial Durbin Model (SDM), the findings demonstrate that ISU has a significant inhibitory effect on ACE, while displaying a promoting effect on ACE of neighbouring regions. Additionally, transportation infrastructure and population density have an intermediary effect in the relationship. When using ISU and level of economic development as a threshold variable, ISU exhibits a positive impact before the threshold, and a negative impact after the threshold. Furthermore, this study reveals regional heterogeneity, that is, ISU has varying impacts on ACE in eastern, central and western China.
Keyword ：
agricultural carbon emissions agricultural carbon emissions Industrial structure upgrading Industrial structure upgrading intermediary effect intermediary effect spatial Durbin Model spatial Durbin Model threshold effect threshold effect
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| GB/T 7714 | Zhao, Jincai , Du, Yongmeng , Duan, Kaifeng . Has industrial structure upgrading reduced agricultural carbon emissions? An empirical analysis from China [J]. | APPLIED ECONOMICS LETTERS , 2024 . |
| MLA | Zhao, Jincai et al. "Has industrial structure upgrading reduced agricultural carbon emissions? An empirical analysis from China" . | APPLIED ECONOMICS LETTERS (2024) . |
| APA | Zhao, Jincai , Du, Yongmeng , Duan, Kaifeng . Has industrial structure upgrading reduced agricultural carbon emissions? An empirical analysis from China . | APPLIED ECONOMICS LETTERS , 2024 . |
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The imbalance of rural human-land relationships has become a notable problem in China's urbanization process. The dual urban-rural system is widely regarded as the crucial factor contributing to this problem in China. Although the significance of institutional forces has been substantially recognized, the rural homestead system seems to be generally under-evaluated in this issue. Most of the previous literature focuses on the dual household registration system, while the effects and the detailed mechanisms of the rural homestead system on human-land relationships lack depth in research. The objective of this research is to help fill this gap in the literature on the complex effects and the detailed mechanisms of the rural homestead system on rural human-land relationships. In view of this, this paper establishes a conceptual framework on the basis of land function theory and public domain of property rights theory and proposes two mechanism hypotheses: one is the land attachment mechanism of farmers' rights and interests (LAM), the other is the land finance preference mechanism of local governments (LFPM). Then, this article examines them empirically using the panel model with the data of 41 cities from 2010 to 2021 in the Yangtze River Delta of China. The main conclusions are as follows: (1) LAM promotes the imbalance of rural human-land relationships due to the attachment of farmer's social security rights and property expectant interests to the rural homesteads; (2) LFPM drives the imbalance of rural human-land relationships, owing to both the preference of land transfer revenue and the exclusion of rural migrants' citizenship financial cost on local governments; (3) the moderating effects suggest that LFPM can strengthen the effect of LAM, and the spatial Durbin model results show that both LAM and LFPM have spatial spillover effects. It is hoped that the findings will provide a reference for deepening the rural homestead system reform.
Keyword ：
land attachment mechanism land attachment mechanism land finance preference mechanism land finance preference mechanism panel model panel model rural homestead system rural homestead system rural human-land relationship rural human-land relationship spatial Durbin model spatial Durbin model
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| GB/T 7714 | Yi, Yuan , Duan, Kaifeng , He, Fang et al. The Effects and Mechanisms of the Rural Homestead System on the Imbalance of Rural Human-Land Relationships: Evidence from the Yangtze River Delta Urban Agglomeration in China [J]. | LAND , 2024 , 13 (2) . |
| MLA | Yi, Yuan et al. "The Effects and Mechanisms of the Rural Homestead System on the Imbalance of Rural Human-Land Relationships: Evidence from the Yangtze River Delta Urban Agglomeration in China" . | LAND 13 . 2 (2024) . |
| APA | Yi, Yuan , Duan, Kaifeng , He, Fang , Si, Yuxuan . The Effects and Mechanisms of the Rural Homestead System on the Imbalance of Rural Human-Land Relationships: Evidence from the Yangtze River Delta Urban Agglomeration in China . | LAND , 2024 , 13 (2) . |
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城乡融合发展动力机制是一个持续演进并有序发挥作用的复杂、有机的运作系统。为拓展城乡融合发展动力机制相关理论体系，进而指导长三角地区城乡融合发展，论文构建了长三角地区城乡融合发展动力机制的系统动力学模型，仿真模拟并分析了4类驱动情景(包括基准情景和内生动力、外生动力、基础动力三类动力因素驱动情景)下长三角地区城乡融合发展不同维度水平以及综合水平随时间的动态演变特征，并讨论了城乡融合发展动力机制中的关键问题。研究发现：(1)现状延续型发展模式下，长三角地区城乡融合不同维度及综合发展水平的总体趋势向好；(2)三类动力因素对城乡融合发展的驱动路径各不相同，但相互之间能够弥补彼此在城乡融合发展不同维度方面驱动力不足的劣势；(3)外生动力和基础动力对长三角地区城乡融合发展的驱动效果明显弱于内生动力。
Keyword ：
仿真模拟 仿真模拟 动力机制 动力机制 城乡融合发展 城乡融合发展 系统动力学 系统动力学 长三角 长三角
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| GB/T 7714 | 段锴丰 , 施建刚 , 吴光东 et al. 长三角地区城乡融合发展动力机制的系统动力学仿真 [J]. | 地理科学进展 , 2024 , 43 (07) : 1320-1336 . |
| MLA | 段锴丰 et al. "长三角地区城乡融合发展动力机制的系统动力学仿真" . | 地理科学进展 43 . 07 (2024) : 1320-1336 . |
| APA | 段锴丰 , 施建刚 , 吴光东 , 周佳宁 , 刘聪 . 长三角地区城乡融合发展动力机制的系统动力学仿真 . | 地理科学进展 , 2024 , 43 (07) , 1320-1336 . |
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