Demystifying residents' walking behaviors: Active transport in South East Queensland,Australia

This study investigates the correlates of a resident's walking behaviors and aims to shed light on mechanisms through which walking may be encouraged. The results of this investigation paint a complex and nuanced picture of the residents’ walking behaviors in South East Queensland, Australia. The results suggest that sociodemographic characteristics separately may contribute greatly to whether or not one engages in walking behaviors. Further, cumulatively these differences might be greater for some groups of residents compared to others. One of the most prominent findings of the study is that the purpose, the characteristics of the origin, and the characteristics of the destination of a trip tended to be similar in the heterogeneity they exhibit over the distribution of time spent walking. For example, pick something up, undertake work, or engage in personal business, move to or from a workplace, shop, or social place are activities that tend to be associated with walking as a main mode of transport and a higher number of walking episodes. However, these trips tended to be short.     

中国家庭股市资产价值变动对居民消费的影响——来自CHFS的微观证据

近年来针对股市资产价值变动与消费关系的研究多采用宏观数据，难以揭示股市资产价值变动对居民消费影响的细节。为克服以上缺陷，文章利用中国家庭金融调查（CHFS）数据分析股市资产价值变动对中国居民消费的影响。实证结果表明：（1）股市资产价值变动对居民消费的影响总体较弱，其中市值变动的财富效应主要体现在改善性消费上，而对饮食等日常必须消费和奢侈品消费影响较小，这可能与我国居民的收入结构和投资方式有关；（2）随着年龄增长，居民的收入分布和资产配置倾向发生改变，股市资产价值变动对不同年龄居民消费的影响呈现先减小后增大的U型分布。研究结论揭示了股市资产价值变动对居民消费影响的分布特征，为今后股市改革方向提供了建议。     

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

In the early 1980s, disease susceptibility in short-season lentil landraces began to limit productivity in areas where relay cropping took place in Bangladesh. Since then, several improved high-yielding lentil varieties, which are resistant to rust and blight and suitable in the relay cropping system, have been released jointly by national and international research centers. This study used three methods, namely a panel of experts, a survey of 1000 households where the respondents named the variety they used, and DNA fingerprinting of seed samples collected from all lentil plots cultivated by survey households to estimate adoption. Double hurdle and instrumental variables regression methods were applied to the household survey and DNA fingerprinting data to identify determinants of adoption and measure their impacts. Of particular interest was whether estimates of adoption, determinants of adoption and impacts varied by method of variety identification. Results showed that the expert panel overestimated the adoption of more recent varieties while about 89% of the farmer-reported varieties were accurate, as verified by DNA fingerprinting. DNA fingerprinting appears to have little advantage for estimating the level of adoption in this case, where few varieties of lentils are found, local variety names do not exist, and most seed is obtained through a formal system. However, even under these conditions, determinants of adoption vary by identification method, and use of farmer-reported information on the variety can lead to erroneous conclusions about determinants of adoption. Because recent breeding efforts have focused on taste and cooking considerations, yield impacts were not significantly different from zero.     

Household responsibility system and China's agricultural Growth revisited: Addressing endogenous institutional change

The rise of the Household Responsibility System has been widely viewed as a significant contribution to China's agricultural growth. However, this empirical conclusion is rested upon a convenient but doubtful presumption that the process of institutional change, also known as decollectivization, is exogenous. We contribute to this literature by explicitly recognizing the endogeneity of institutional changes, and exploit exogenous variations in lagged weather shocks and initial fixed assets for consistent estimation. With improved data on irrigation, mechanization, weather and institutional changes in a provincial panel data during 1970–1987, the results of panel instrumental estimations reveal that the Household Responsibility System had a significantly positive effect on China's agricultural growth, which was larger than indicated by OLS estimates that suffer from adverse selection and attenuation biases.     

A Different Perspective on the Evolution of UK Income Inequality

This paper scrutinizes the conventional wisdom about trends in UK income inequality and also places contemporary inequality in a much longer historical perspective. We combine household survey and income tax data to provide better coverage of all income ranges from the bottom to the very top (and make our estimates available to other researchers). We make a case for studying distributions of income between tax units (i.e. not assuming the full income sharing that goes with the use of the household as the unit of analysis) for reasons of principle as well as data harmonization. We present evidence that income inequality in the UK is as least as high today as it was just before the start of World War 2.     

Was the expansion of housing credit in Japan good or bad?

This paper shows, using data from the Family Income and Expenditure Survey, that housing credit has become increasingly available over time in Japan, especially since 2000, and that this has made it easier for Japanese households to purchase housing and enabled them to do so at an earlier age. However, it also shows that the greater availability of housing credit has increased households’ housing loan repayment burden, which has resulted in their cutting back on their other consumption expenditures and created the potential for retirement insecurity. Another concern is that the increasing availability of housing credit has been accompanied by a pronounced shift from fixed-rate to variable-rate housing loans. This is cause for concern given the low level of financial literacy that prevails among the Japanese population and the likelihood that interest rates on variable-rate housing loans will be raised sooner or later as monetary policy is tightened.     

基于宏观资产负债表的居民债务问题及其风险研究

本文从宏观资产负债表的编制出发,对比世界主要经济体的居民债务演变,有效度量中国居民部门的债务杠杆水平。通过宏观部门经济间的关联,构造基于存量-流量一致的部门结构化均衡模型,剖析居民部门债务风险的传导机制,分析货币、财政和地产政策在居民债务风险防范中的作用。结果表明:中国居民部门金融资产负债率和偿债比例偏高,偿债压力逐步加大。但适中的资产负债率和较高的潜在经济增速为我国居民部门债务风险的化解提供了足够的空间。紧缩性货币政策有利于居民部门去杠杆化,但由此引发的消费减速和经济下行将导致企业和政府部门债务攀升;减税较政府直接支出更能激发消费内需、降低居民和企业债务杠杆,同时,长期经济的好转利于政府债务风险稳定。紧缩性地产政策虽然有助于长期经济结构的调整,但需防范短期经济下滑。     

Determinants of women's financial inclusion: Evidence from India

A number of studies have analyzed the determinants of financial inclusion in India, but few if any have focused specifically on the factors that shape women's access to finance. This paper draws on the trove of women-specific data collected in the fourth round of the National Family Health Survey (NFHS-4), conducted in 2015–16 in India, to examine the factors that influence women's access to finance. The results indicate that while the forces that shape women's access to finance function at multiple levels, micro-level factors appear to be powerful drivers of inclusion. The analysis reveals that household-level economic indicators like wealth, gender of household head and their rural-urban location are crucial, but so are individual-level characteristics which explain approximately 83% of the variation in the multilevel regressions. Informal gender norms that govern women's mobility and economic activity crucially influence the ability of women to access loans and open bank accounts.     

高速铁路对居民消费的空间溢出效应研究

高速铁路开通对居民消费发展具有重要影响。本文基于2003-2017年的省级面板数据,利用空间杜宾模型检验了高速铁路对居民消费的空间溢出效应。结果表明:(1)我国居民消费存在明显的空间集聚特征;(2)周边地区的高铁运营对本地区的居民消费水平有促进作用,但二者并非简单的线性关系,高速铁路对我国居民消费水平的影响呈倒U型;(3)周边地区高铁通过影响当地经济发展水平和旅客周转量来促进当地居民消费水平提升。为此,我国需要充分利用居民消费的空间依赖性来改善各地区居民的消费,完善和优化现有的高铁网络,以高铁发展带动消费水平提升,为经济可持续发展提供适宜的消费环境。     

Household indebtedness in Korea: Its causes and sustainability

This paper investigates why household debt in Korea has increased so rapidly over the past decade and whether it is sustainable, adopting a multi-faceted approach which includes a time series analysis, a quantitative analysis based on household panel data, and an analysis using a debt dynamics equation derived from the household budget constraint. A regression analysis reveals that household debt growth has been significantly related to house price increases, banks’ lax attitudes toward household lending, and financial institutions’ favorable funding conditions. Also 70–80% of the total debt increase has been accounted for by high income or newly indebted households. The debt dynamics equation analysis shows that the rapid rise in the ratio of household debt to disposable income is attributable not only to the increase in household asset purchases but also to the dampened growth in disposable income and the reduced savings rate. The sustainability analyses indicate that Korean households’ debt sustainability is unlikely to deteriorate sharply within a short period of time unless two extreme scenarios, under which house prices decline by 5% a year over the next five years, or a significantly large macroeconomic shock similar to the 1997 crisis hits the economy, would be realized.