Over‐indebtedness and microcredit in Cambodia: Moving beyond borrower‐centric frames

Over the past two decades, Cambodia has experienced an unprecedented credit boom, a growth in lending so rapid that the International Monetary Fund (IMF) referred to it as “one of the fastest financial deepening episodes by historical cross‐cultural standards” (IMF, 2016, p. 4). This deepening has been driven by the expansion of microcredit. In tandem, over‐indebtedness has increased among microcredit borrowers, and debt has become a significant political and economic concern. This article explores how over‐indebtedness is understood and explained by stakeholders across microcredit value chains. To do so, we draw on interviews with microfinance institution (MFI) executives, investors, branch managers, partners, financial literacy trainers, loan officers and borrowers in Siem Reap and Phnom Penh. We find that across the sector, dominant framings of over‐indebtedness privilege borrower‐centric explanations, while discounting the structural drivers of excessive lending and borrowing. As a consequence, current efforts to limit over‐indebtedness are unlikely to produce the kinds of solutions that are most needed to reduce the debt stress among borrowers. These arguments have implications across the Global South, particularly for contexts where microfinance is rapidly expanding.     

Credit access,macroprudential rules and policy interventions: Lessons for potential first time buyers

Given the increased popularity of macroprudential measures in the aftermath of the great financial crisis (GFC), a key policy question to arise in certain mortgage markets is whether a significant access to credit issue exists amongst prospective homeowners because of these new policies. In this paper we assess whether such a problem arises in the context of the Irish mortgage market – a market particularly adversely impacted by the GFC. We use a microsimulation model to estimate the level of latent credit demand that could be serviced by the market given prudent credit risk assessment and the current macroprudential regulations. We then compare this demand to current market provision to explore whether a credit gap exists. Finally, we simulate how a public mortgage credit scheme or equity “help-to-buy” type instrument may help credit access. We find both instruments to be effective but would lead to somewhat higher house prices.     

基于违约鉴别能力组合赋权的小企业信用评级——基于小型工业企业样本数据的实证分析

信用评级是衡量债务违约的可能性,因此评级体系要有违约风险识别能力,能够将违约客户和非违约客户显著地区分开.通过逼近理想点的思路,构建多目标规划模型求解最优的组合权重,并对中国某区域性商业银行1 814笔小型工业企业贷款进行实证分析.本文的创新与特色一是以非违约企业的数据到正理想点的距离代数和最小为第一个目标函数,以违约企业的数据到负理想点的距离代数和最小为第二个目标函数,构建多目标非线性规划模型进行组合赋权,在满足了“非违约企业的评价得分越高、违约企业的评价得分越低”要求的目标下得到最优的组合赋权的权重系数,使赋权结果保证了评级模型能够将违约企业与非违约企业最大地区分开.改变了现有研究的组合赋权脱离评价目的的弊端,改变了现有研究中违约与非违约企业的评价得分存在大量重叠、对两类企业的区分能力低的弊端.二是通过检验“违约企业的信用得分是否显著小于非违约企业的信用得分”的J-T非参数检验,验证信用评价模型的合理性.改变现有研究忽略对信用评价模型的合理性进行验证的弊端.三是经过实证,发现本研究建立的组合赋权模型的违约鉴别能力(Z=5.546)要高于现有研究的两种常用组合赋权模型、即基于方差最大的组合赋权(Z=4.298)和基于偏差最小的组合赋权(Z=5.182)     

探析我国出口信用证结算地位弱化的成因及影响

鉴于信用证具有比较强的收汇保障的性能和贸易融资功能，因此也一直是我国出口企业贸易结算的首选，使用率高居90％。但是近年来，其结算的“霸主”地位不断弱化，并由此对我国外贸出口产生了较大的不利影响。本文探讨了其中具体的原因及影响，并辅以对策。     

C2C市场上消费者从众决策研究——基于面板数据模型

电子商务市场蓬勃发展的同时，也存在严重的信息不对称现象，给消费者带来极大的购物风险。文章基于信息不对称理论，利用淘宝网交易数据对 C2C 市场上消费者的从众决策行为进行研究。研究发现 C2C 市场上店铺的日销量在店铺间存在二八分布的特征，说明网络消费者在购买商品时有从众行为。基于面板模型对店铺市场份额的研究表明，店铺历史销量信息对消费者选择店铺的决策有显著正向影响，而店铺信用对消费者决策的影响并不显著。因此，建议 C2C 交易平台增加退货量指标、动态销量图以及销量和价格的相互对应信息等，以促进消费者理性购物。     

The red and the black: China’s social credit experiment as a total test environment

China's social credit system is an unusually explicit case where technology is used by multiple actors to turn human behavior into a test object on behalf of the state's goal of modifying the larger social environment, making it an intriguing setting for thinking about the new sociology of testing. This article considers how China's search for a usable “credit” score to both allocate financial resources and explicitly measure a citizen's trustworthiness creates an emergent experimental system of governance similar to, yet not quite captured by, the kinds of experimental processes observed in literature on the platform as a form of market-based governance. As a site where “seeing like a state” and “seeing like a market” converge, the social credit system is a vantage point for observing the changing relationship between moral and economic domains in an era of digital platforms. The article highlights the experimental quality of the system and its emerging system of governance structured around reward and punishment and argues that strategic ambiguity, institutionalized through the affordances of digital platforms, is an important part of the design of this large-scale social experiment.     

从生成主义哲学谈幼儿园科学教育活动的实践进路

生成主义哲学认为世界与认知者不可分,强调认知与行动、实践与情境的统合。生成主义哲学视域下幼儿园科学教育活 动的价值立场是“属人”,而非塑造“知识人”,幼儿的科学学习彰显具身性与主体间性。基于一个幼儿园大班科学项目活动《鲜花 保鲜》,从生成主义哲学视域分析幼儿园科学教育活动实践进路：科学活动生成的境遇是生活世界与科学世界的统整,幼儿与教 师是科学认知生成的主体,幼儿科学学习的途径是科学实践、“涌现”与对话,并对幼儿园科学教育活动实践展开省思。     

农民合作社信用合作满意度实证研究——基于内部社会资本分析视角

基于对3个省的3个县市区253家合作社的调查数据,运用因子分析法和二元Logistic分析法实证研究合作社社员满意度的影响因素。因子分析结果表明:内部社会资本由内部信任、内部规范和社会网络等3个因子构成。Logistic回归分析结果显示:内部信任、内部规范这两个测量变量与社员满意度存在显著的正相关性,而社会规范与社员满意度之间呈显著的负向相关关系。组织认同能够提高社员对合作社的满意度,且加入合作社时间越短的社员对合作社的满意度越高。此外,还通过剔除不显著变量和增加变量的方法对社员满意度进行回归分析,结果证明研究结论具有高度的稳健性。据此提出建立健全信用合作管理制度、加强合作社的社会整合功能、发挥合作社示范作用的政策建议。     

自然灾害冲击对农村家庭非农就业选择的影响

利用国家重点研发计划重点专项2018年调研数据,构建了自然灾害冲击对农村家庭非农就业选择影响的理论框架,采用Probit模型验证了自然灾害冲击对农户家庭成员非农就业选择的影响。研究发现:自然灾害冲击对农户家庭成员非农就业选择有显著正向影响,这一正向影响会随着自然灾害强度的增加而不断提升;人力资本和社会资本的嵌入,会弱化自然灾害对农户家庭成员非农就业选择的影响,信贷约束却会强化这一影响。这意味着现阶段面对自然灾害冲击,农户家庭成员应积极尝试非农就业,不仅能够促进资本存量重构,还可以缓解家庭生计压力,增加农户家庭收入,避免农户家庭因灾致贫。     

信贷需求抑制视角下农户环境友好型农业技术采纳行为分析

通过构建一个两期动态投融资的理论框架,分析信贷需求抑制、非农收入对农户环境友好型农业技术采用的影响,进一步运用黑龙江、浙江、河南和四川4省957份农户数据采用IV-Heckit和cmp模型进行实证检验,并以家庭其他成员参与金融项目数作为工具变量解决内生性问题。结果表明:我国农村存在着严重的信贷需求抑制问题,信贷需求抑制显著负向影响农户环境友好型农业技术采用行为及强度,非农收入对此有明显的缓解作用;非农收入对于资金需求大、普及程度高的有机肥采用影响显著,对资金需求小的秸秆还田采用影响不显著。最后,针对研究结论提出了加强渠道建设、推动绿色金融、深化金融创新等政策建议。