Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land,particularly in terms of land use and price.This study focuses on 2851 county-level cities in China in 2005–2018(excluding Hong Kong,Macao,Taiwan,and‘no data’areas in Qinhai-Tibet Plateau)as the fundamental units of analysis.By employing nighttime light(NTL)data to identify shrinking cities,the propensity score matching(PSM)model was used to quantitatively examine the impact of shrinking cities on land prices,and evaluate the magnitude of this influence.The findings demonstrate the following:1)there were 613 shrinking cities in China,with moderate shrinkage being the most prevalent and severe shrinkage being the least.2)Regional disparities are evident in the spatial distribution of shrinking cities,especially in areas with diverse terrain.3)The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels.4)Shrinking cities significantly negatively impact on the overall land price(ATT=–0.1241,P<0.05).However,the extent of the effect varies significantly among different spatial regions.This study contributes novel insights into the investigation of land prices and shrinking cities,ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas.

The Effects of Infrastructure Projects on House Prices and Rents:Evidence from the HS2 Extension Cancellation in the UK

This paper uses the HS2 extension cancellation in November 2021 as a quasi-experiment to study its impact on house prices and rents in Leeds.Using a DiD approach on repeat sales and monthly rents,I compare property values near the HS2 station and proposed construction site before and after the announcement.Results show a 3.6%decrease in house prices and a 3.9%decline in rents near the station,while properties near the construction site experienced a 2.4%increase in prices and a 2.1%rise in rents.This is the first paper to analyse the HS2 cancellation effect using panel data methods.

Industrial transmission effect of international metal price shocks in perspective of industry chain

Based on a new perspective of industry chain and selecting monthly data from February2006to December2015,this paper chooses eight Chinese industrial sectors to construct a SVAR model reflecting internal relationships among metal chains,analyzes the direct effects and indirect effects of international metal prices on output of various links in metal chains,then it investigates the main transmission path of international metal price shocks through decomposing the inflation pressure sources in metal chains.The results show that international metal price shocks not only affect industrial output in a direct way,but also indirectly affect the growth of output through the increased pressure on industrial inflation and then triggering a tightening of monetary policy implementation.Affected by factors such as the lack of market demand and the price transmission mechanism blocking,the direct effects of international metal price shocks mainly impact the upstream and midstream industry,while the downstream industry is mainly affected by indirect effects;in addition,the international metal price shocks have spillover effects on the industrial inflation,and transmit along the industry chain from upstream to downstream,and their strength weakens in sequence.

Analysis of Volatility Spillover Effect of Soybean Price between Domestic and International Markets

Sharp fluctuation of soybean prices in international and domestic markets has caused big risks for both domestic soybean producers and processing enterprises in recent years. It also increases the difficulties in implementing price stabilization policy for the government. This paper analyzes the volatility spillovers in soybean prices between international and domestic markets using the multivariate VAR-BEKK-GARCH model based on the data set from December 22,2004 to December 19,2014. The estimate results indicate that there are volatility spillover effects from domestic futures market to spot market and bilateral spillover between international futures market and domestic spot market. In order to prevent market manipulation and to reduce the impacts of price volatility in international soybean market on Chinese market,this paper proposes the following policy measures such as establishing early warning mechanism for soybean price fluctuations,improving soybean futures contract design and strengthening trading risk management mechanism,amplifying information disclosure system,and regularizing speculation activities of big traders.

Do the RMB exchange rate and global commodity prices have asymmetric or symmetric effects on China’s stock prices?

With the rapid expansion of the RMB exchange rate’s floating range,the effects of the RMB exchange rate and global commodity price changes on China’s stock prices are likely to increase.This study uses both auto regressive distributed lag(ARDL)and nonlinear ARDL(NARDL)approaches to explore the symmetric and asymmetric effects of the RMB exchange rate and global commodity prices on China’s stock prices.Our findings show that without considering the critical variable of global commodity prices,there is no cointegration relationship between the RMB exchange rate and China’s stock prices,and the coefficient of the RMB exchange rate is not statistically significant.However,when we introduce global commodity prices into the NARDL model,the result shows that the RMB exchange rate has a negative effect on China’s stock prices,that there indeed exists a long-run cointegration relationship among the RMB exchange rate,global commodity prices,and stock prices in the NARDL model,and that global commodity price changes have an asymmetric effect on China’s stock prices in the long run.Specifically,China’s stock prices are more sensitive to increases than decreases in global commodity prices.Thus,increases in global commodity prices cause China’s stock prices to decline sharply.In contrast,the same magnitude of decline in global commodity prices induces a smaller increase in China’s stock prices.

Comparative Analysis of the Effects of False Low-Price Marketing Strategy on Multiple Platforms

In order to make full use of the characteristics of commodity prices,merchants on e-commerce platforms have adopted the low-price marketing strategy.Regular promotional discounts can bring new vitality to the commodity sales market,but extreme discount marketing methods would lead to serious impacts on the sales of competing products,thus affecting the stable development of the online shopping market.The sales data of four electrical products using the false low-price marketing strategy on three e-commerce platforms(Taobao,JD,and Amazon)were used in this study.The sales data from different e-commerce platforms and different time periods were analyzed,and one-way ANOVA was used on the factors affecting the effect of marketing strategy.The results showed that there is a significant difference between the direct marketing of high-priced products and low-priced products on Taobao;the difference between the marketing effects of high-priced products and mid-priced products on JD and Amazon is significant.This analysis would help businesses formulate reasonable marketing strategies and promote the stable development of the online shopping market.

房价对城镇居民消费不平等的影响研究

基于中国家庭追踪调查库(CFPS)2010—2018年数据,采用面板计量模型和中介效应模型,研究房价对城镇居民消费不平等的影响效应及作用机制。结果表明:房价会正向影响城镇居民消费不平等,运用工具变量法进行内生性检验以及其他稳健性检验后,以上结论稳健。机制检验结果表明,房价会通过家庭人均消费支出影响城镇居民消费不平等,房价对居住支出和教育文化娱乐支出的影响程度较大,进一步说明房价上升会通过影响消费结构加剧城镇居民消费不平等。异质性检验结果表明,相对于城镇中低收入、中低金融资产家庭而言,房价变动对城镇高收入、高金融资产家庭居民消费的影响更明显。为此,应稳定房价、合理引导住房支出和调整居民消费结构,以促进消费公平,缩小消费不平等。

中国居民消费结构转型驱动力:收入效应还是相对价格效应

本文基于结构转型框架,以居民消费在各部门的分配份额度量居民消费结构转型,利用1992—2017年中国居民消费支出及投入产出表等数据,通过对偏好进行非线性估计并结合反事实分析方法,实证探讨了我国居民消费结构升级的主导驱动力。研究发现:消费的不同定义和测度方式会使结论出现差异。在最终消费支出定义下,收入效应是驱动我国居民消费结构升级的主导力量;在消费增加值定义下,若利用支出法GDP方法构造消费,则相对价格效应对2002年之后我国居民消费结构升级的贡献大大增强。本文在理论层面为结构转型相关研究提供了需求侧视角,在应用层面有助于明确我国居民消费结构升级的主要动力,进而为高质量发展阶段下消费提质升级提供有益的借鉴及参考。

企业提高ESG表现能够降低股价崩盘风险吗?

本文以2011—2020年沪深A股上市公司为对象,运用企业ESG表现对股价崩盘风险影响的处理效应模型(Treatment effect model)考察ESG表现对股价崩盘风险的影响。研究结果表明,企业提高ESG表现会抑制股价崩盘风险,符合“价值假说”。影响机制检验表明,媒体与分析师关注度正向调节ESG表现对股价崩盘风险的抑制作用,发挥“互补效应”;企业提高ESG表现通过缓解委托代理冲突抑制股价崩盘风险。进一步分析发现,ESG表现对股价崩盘风险的抑制作用仅在非国有企业和所处地区市场化水平较低的企业中成立,且抑制股价崩盘风险是ESG表现提升企业价值的重要路径。上述结论为推动上市公司履行ESG投资责任、完善风险管理机制和实现企业长期价值提供了经验参考。

房价上涨是否推迟了初婚年龄?——基于CGSS数据的实证分析

“房价”与“婚姻”是大众热议的民生问题。构建婚姻决策理论模型,探讨房价对结婚率的影响,基于中国综合社会调查(CGSS)数据,考察房价上涨对居民初婚年龄的影响。结果表明:房价每上涨1%,居民的平均初婚年龄增加1.108岁;房价上涨对女性初婚年龄的推迟效应大于男性,对城镇地区居民初婚年龄的推迟效应大于农村地区居民,对经济欠发达地区居民初婚年龄的推迟效应大于发达地区居民;家庭经济水平对农村地区男性的初婚年龄有显著负向影响,个体受教育程度对欠发达地区居民的初婚年龄有显著负向影响。

新世纪以来国际铁矿石价格波动及对中国的启示

结合国际铁矿石市场基本概况及新世纪以来铁矿石价格波动的演变历程,分析国际铁矿石价格相关内容,探讨国际铁矿石期货市场现状及中国在铁矿石国际贸易中的地位。从钢铁行业、经济传导效应、通货膨胀视角分析国际铁矿石价格波动对中国宏观经济的影响,并提出相关建议。要从提升国内铁矿石资源保障能力,建立国内大循环回收利用体系,构建多元进口供应体系,完善商品定价基准监管制度入手,促进中国铁矿石期货交易市场的深化发展,以有效应对国际铁矿石价格的波动,稳定市场铁矿石供应。

我国药品集中带量采购制度理论与实践浅析

我国药品集中带量采购(以下简称集采)是发挥医保战略性购买功能、重构医药价格形成机制、规范药品流通秩序、降低患者药费负担、促进合理安全用药的制度创举。本文从制度创建的视角,系统性回顾了我国开展药品集采工作五年以来的制度内涵、运行效果和多方影响。制度运行的核心机制包括政府组织、联盟采购、平台操作的工作机制,质量优先、保障供应、为用而采的规则机制,以及集采与使用的运行维护机制;药品价格形成的核心机制包括量价挂钩的市场交换机制和“四个确保”的市场契约机制;制度实施涉及招标采购、供应配送、配备使用、接续工作4个关键环节和18个核心要素。集采政策实施后,临床用药替代效应明显、药品可及性提高、药品费用显著下降且主要惠及患者、药品市场集中度提高和产业格局逐步重塑。

“认房认贷”政策放松对房地产市场影响效应分析——基于住房交易挤出的视角

明晰需求端政策调控对二手房和新房市场的影响效应具有重要的现实意义。本文以“认房认贷”政策作为研究对象,运用时间断点回归模型,分析2022年部分二三线城市“认房认贷”政策放松对二手房和新房成交量价的影响以及两个子市场的联动规律,并进一步检验政策放松的空间挤出效应。研究发现,“认房认贷”政策放松显著增加了二手房的成交量,并减缓了二手房成交价格的下行趋势,但政策生效存在1~2个月的时滞。然而,二手房市场流动性增强挤出了新房市场的改善性住房需求,使得大户型新房成交量显著减少,并带来当期新房成交价格的下降。此外,高能级城市“认房认贷”政策的放松对周边低能级城市住房交易有较强的挤出效应,对小中大户型的新房交易均有持续显著的抑制效果。据此提出要因城施策引导刚性和改善性购房者分流。

城市交通、距离衰减与票价——来自北京市表演艺术行业的实证考察

表演艺术需求的决定因素是文化经济学关注的焦点。城市交通带来的区域可达性和便捷性为城市生活活动带来正向外部效应,可能消减距离衰减对票价的影响。本研究基于中票在线的北京市2011年11月至2022年5月148770场演出数据,运用逐步回归法,实证探讨了城市交通、距离衰减与表演艺术票价之间的关系。研究结果表明,票价与演出场所距城市商业中心距离正相关,公交车线路数量和地铁线路数量缓解了距离衰减对票价的作用,呈现出显著正向推动作用,证实了城市交通正向外部调节效应的存在。此外,表演艺术类别、演出场所规模以及所在行政区划等因素也对票价产生显著影响。这些发现对于理解和优化表演艺术市场,为城市交通规划和文化产业发展提供了重要的理论和实践参考。

房地产股价波动对高技术板块的溢出效应研究——基于DGC-t-MSV模型

过度的金融资产投资可能导致房地产股价泡沫,并且通过风险溢出渠道给高技术板块带来价格冲击。研究聚焦于房地产行业和高技术产业的股票价格指数,结合MODWT分解和DGC-t-MSV模型进行实证分析,结果表明:其一,“房地产-高技术”的股票价格动态相关,房地产行业价格波动的传导作用更加强烈,对高技术板块具有明显的溢出效应;其二,实施限制性政策后房地产行业的挤出效应降低,高技术及其分类产业的创新投入受到的限制逐渐减弱;其三,短、中期频繁交易是导致房地产溢价的主要原因,需要警惕高技术板块面临的溢出风险。积极引导高技术板块的价值投资,合理配置技术要素,能够有效促进高技术产业的高质量、高水平发展。

房价对家庭商业保险参与的影响——基于CFPS的实证研究

基于2016年与2018年中国家庭追踪调查(CFPS)数据,利用Probit和Tobit模型实证研究了房价波动对家庭商业保险参与的影响。实证结果表明,房价变动显著地提高了家庭对商业保险购买的概率,且主要通过房价变动所带来的财富效应促进了家庭保险参与。通过倾向得分匹配法(PSM)控制内生性以后,研究结果依然显著,利用更换估计方法和扩充样本的方式进行了稳健性检验,结果仍然稳健。异质性分析表明,房价变动对家庭商业保险参与的促进作用更明显地体现在高收入、城镇地区和较高教育水平的家庭群体中。最后,提出了具体的对策建议。

论抵押可售规则——以从《物权法》走向《民法典》的转变为视角

不同于《物权法》明文限制抵押财产的转让,《民法典》背景下,只有在禁止或限制抵押财产转让的约定已经登记的情况下,才存在抵押可售规则的适用空间。抵押财产抵债有别于抵押财产转让,抵押可售规则不能适用于存在以物抵债的情形。抵押财产转让存在限制时,抵押权人同意转让抵押财产是为了便于办理后续的登记手续,而非放弃抵押权。在抵押权追及效力之下,办理抵押权注销登记、抵押权人受领转让价金或将转让价金提存之前抵押权不会消灭。在追及效力规则不足以保护抵押权人之时,有必要例外承认抵押权对转让价金的物上代位效力。关于受让人的权利救济,可通过代为履行制度消灭抵押权,消费型购房人可以直接排除抵押权人的执行。程序上,受让人主要通过提起执行异议之诉的方式,但一般不宜提起第三人撤销之诉。

城市棚户区改造对周边舒适物的影响效应研究

城市棚户区改造作为城市更新的重要组成部分,旨在通过改善居住条件、改变城市面貌、提升城市功能来推动经济稳定增长,是我国的一项重要民生工程。2020年末,我国棚户区改造工作基本告一段落,然而对改造项目产生的影响效应的探讨尚不充分。本文选择棚户区周边舒适物变化情况作为研究对象,以北京市为例,结合POI数据与ArcGIS缓冲区分析,并构建双重差分模型与特征价格模型,实证研究城市棚户区改造对周边舒适物多样性的影响及其经济效应。研究发现:棚户区改造可以显著提高周边舒适物多样性,舒适物多样性的提高对周边小区房价有正向溢出效应,棚户区改造不仅能够提高居民生活质量,还可以激发创新与消费活动,从而提升城市活力,促进城市经济社会发展。本文研究结论为其他城市更新相关政策的制定和优化了提供科学依据。

劳动力成本与技术进步偏向性——来自最低工资调整的证据

技术进步偏向性是影响要素收入份额变化的重要因素,探讨技术进步偏向性变化背后的逻辑对于构建科学合理的要素收入分配体系具有积极意义。本文基于最低工资调整视角探讨影响技术进步偏向性变化的价格效应。理论结果表明,当资本与劳动要素之间存在互补(替代)关系时,最低工资提升促使技术进步偏向劳动(资本)。采用中国城市数据测算技术进步偏向性指数,发现城市技术进步整体偏向资本,而在2004年之后出现偏向劳动的趋势。实证研究显示,随着最低工资水平上升,技术进步倾向于偏向劳动,且这一效应在要素互补样本更为显著,在要素替代样本不显著。考虑内生性问题、技术进步偏向性动态变化等稳健性检验均得到一致结果,且这一效应在2004年之后和在中西部地区尤为明显。进一步考察城市异质性特征发现,最低工资对技术进步偏向性的影响在非省会、中小经济规模、劳动密集型及对外开放度较低的城市更为显著;随着所在省份市场化水平和出口开放度提高而减弱,随着民营化水平提高而加强。本文研究结论为驱动技术进步偏向性变化的价格效应提供了证据支持,为各地区因地制宜实施和完善最低工资制度提供现实借鉴。

展厅效应下双渠道供应链的减排投资与协调策略研究

低碳经济的发展改变了双渠道供应链的决策环境,同时也改变了一些消费者的低碳偏好。在考虑展厅效应和消费者低碳偏好的基础上,构建碳交易机制下双渠道供应链的减排和服务运营决策模型,利用主从博弈分别求解集中决策和分散决策情形下的最优运营策略,分析制造商的最优减排率、零售商的最佳服务水平及渠道价格之间的作用机制。进一步设计服务成本分担契约解决碳交易政策下分散式双渠道供应链的双重边际效应问题,探究展厅效应、低碳偏好及成本分摊对供应链的影响。研究表明,单位碳交易价格会影响展厅效应与减排率的作用关系,通过调节渠道价格比可以提高减排率和零售商销售价格,服务成本分担契约能够使双渠道供应链实现帕累托改进。