The impacts of energy insecurity on household welfare in Cambodia: Empirical evidence and policy implications

This study investigates the impacts of energy insecurity on household welfare in Cambodia. The notion of energy insecurity is not well understood in the literature as well as in local contexts. This study defines household energy insecurity as the status quo derived from the interplay of inadequate and insufficient energy consumption that prevents households from meeting basic energy needs. The notion of energy insecurity can only be well understood by investigation in the local context as it varies from place to place. Households facing insufficient energy consumption may forgo many other opportunities. Once energy security has been defined in the Cambodian context, the study employs multiple regression models using the Cambodia Socio-Economic Survey Data (2015) to investigate the impacts of household energy insecurity. The study confirmed that energy insecurity has enormous negative impact on welfare of the households, with a further negative impact on the human capital formation of the children. The findings will lead to policy implications to improve household energy security, and thus impact economic, social, and environmental development.     

On the redistributive effects of Germany’s feed-in tariff

This article assesses the redistributive effects of a key element of German climate policy, the promotion of renewables in the electricity generation mix through the provision of a feed-in tariff. The tariff shapes the distribution of households’ disposable incomes by charging a levy that is proportional to household electricity consumption and by transferring financial resources to households who are feeding green electricity into the public grid. Our study builds on representative household survey data, providing information on various socio-demographics, household electricity consumption, and ownership of photovoltaic facilities. The redistributive effects of the feed-in tariff are evaluated by means of inequality indices. All the indices indicate that Germany’s feed-in tariff is regressive.     

Domestic technology,consumption economies of scale and poverty: evidence from Sri Lanka

While it is well known that new technologies enhance consumer welfare, the manner in which these technologies impact the ability to realize economies of scale in consumption is not well understood. We use Sri Lankan household data to examine how the adoption of new technologies by households positively impacts their ability to achieve household economies of scale. This suggests that new technologies not only deliver a greater variety of consumption goods to consumers, but they may also play an important role in enabling large households to escape poverty by lowering the per-capita costs of maintaining a given standard of living. Given the importance of consumption economies of scale in the measurement of poverty, this study provides some insights on the extent to which the number of poor households changes when food consumption scale economies due to technology adoption in the domestic sphere are incorporated.     

Regulated price reforms and unregulated substitutes: the case of residential piped gas in Argentina

This paper examines the impact of regulated piped gas price changes on connection decisions and households’ welfare. The analysis explicitly considers bottled gas as a substitute for piped gas and therefore uses a simple utility maximization model that yields both a gas-type choice model and a demand specification whose parameterization allows examining households’ responses to regulated price changes. The results show that relative gas prices and household features explain households’ piped gas usage. They also provide insights on the distribution of welfare changes. The findings illustrate the impact of tariff rebalancing and unregulated substitutes on further access to regulated network services.     

(En-)‘lightening’ children: Assessing the impacts of access to electricity on learning achievement levels

The welfare impacts of electrification are well documented in the literature, including the effects of electricity on school enrolment. However, the spillover effects of electrification on children's achievement levels are scarce. We use three complementary but distinct econometric models to establish a causal relationship between electrification and test scores using nationally representative household panel data from India. We find positive results irrespective of the choice of econometric model, and these results seem to be mediated by changing time-use patterns of children with access to electricity. We first exploit the plausibly exogenous variation in access to electricity due to a universal electrification program in the state of West Bengal in India and we find positive effects of electrification on children's test scores. By age group, we find that younger cohorts benefit more in terms of their reading scores than older cohorts. Then, to ascertain external validity of these results, we replicate them over a nationally representative sample using fixed effects and instrumental variables estimation and find similar results. At the intensive margin, we find that access to more hours of electricity positively affects test scores. We identify an increase in time spent by children on study-related activities as the potential channel for these results.     

Non-farm Income and Consumption Expenditures in Rural Bangladesh: Empirical Evidence from Multilevel Regression Modelling

This study examines the effects of non-farm income on household consumption expenditures in rural Bangladesh. A two-stage endogenous treatment effect model is built on data from a nationally representative Household Income Expenditure Survey (HIES) 2010 to control selection bias. The HIES follows a hierarchical data structure because the survey is based on two-stage stratified sampling. A multilevel mixed-effects linear regression model is used to capture the unobserved heterogeneity between clusters (PSUs) along with revealing important factors. Results reveal that non-farm income has a significant positive effect on household’s consumption expenditures and non-farm income recipient households spend about 29% more than their counterparts. In addition, higher level of per capita income, education, smaller family size and lower dependency ratio are found to be more effective in increasing consumption expenditures of rural households. Significant cluster-level variations are observed in the analyses. This study recommends that non-farm income generating activities should be encouraged among rural households as this would raise their consumption expenditures and hence, improve welfare and living standards among them.

     

Rural development in the digital age: Does information and communication technology adoption contribute to credit access and income growth in rural China?

Information and communication technology (ICT) plays an important role in rural livelihoods and household well-being. Therefore, this study examines the impact of ICT adoption on farmers' decisions to access credit and the joint effects of ICT adoption and access to credit on household income using 2016 China Labour-force Dynamics Survey data. Both recursive bivariate probit model and a selectivity-corrected ordinary least square regression model are employed for the analysis. The results show that ICT adoption increases the probability of access to credit by 12.8% in rural China and empowers rural women and farm households in relatively less-developed regions to access credit. ICT adoption and access to credit affect household income differently. ICT adoption significantly increases household income, while access to credit significantly reduces it, primarily because farmers do not use the acquired credit to invest in income-generating farm and off-farm business activities. ICT adoption has the largest positive impact on household income at the highest 90th quantile. Our findings suggest that improving rural ICT infrastructure to enhance farmers' ICT adoption and developing ICT-based financial products to enable households to access sufficient funds can improve rural household welfare.     

Quantitative Analysis of the COVID-19 Pandemic Shock to Household Consumption in China

We study the impact of the COVID-19 pandemic shock on household consumption in China. Using household survey data, we find that the proportion of liquidity-constrained households increases quickly, but the constraint levels vary across distinct groups. We build a heterogeneous agent life cycle incomplete market model to analyze the long-run and short-run effects of the pandemic shock. The quantitative results reveal a slow recovery of consumption due to three reasons: hiking unemployment rate, declining labor productivity, and worsening income stability. The hiking unemployment rate plays the key role in households’ consumption reduction since it simultaneously leads to a negative income effect and upsurging precautionary saving motives. Our paper highlights the importance of maintaining a stable labor market for faster recovery.     

城市居住区内家庭直接能耗碳排放差异研究

家庭能源消费对环境的影响已经成为可持续发展领域热点研究课题之一。基于微观视角,采用多段抽取的方法从南阳市一商业居住区内选取128户家庭进行住户的调研,针对具有不同的家庭规模、家庭收入、房屋所有权、家庭成员节能意识及能源知识掌握程度的家庭,分别分析了其直接能耗CO2排放量和结构上的差异。用多元逐步回归的方法,得到了家庭成员节能意识强烈度、家庭人口、家庭成年人平均文化程度、能源知识掌握程度等是造成同一居住区内家庭CO2排放差异的显著性因子,家庭成员节能意识的强烈程度、能源知识的掌握程度与家庭直接能耗CO2排放量呈负相关,因此,加强对居民的能源知识的普及和节能意识的强化可以降低家庭直接能耗的CO2排放量。     

The impact of digital finance on household consumption: Evidence from China

Using panel data from the China Household Finance Survey (CHFS) in 2013, 2015, and 2017 and the digital inclusive finance index developed by Peking University, this study examined impacts of the digital inclusive finance on household consumption and explored its mechanisms. Results suggest that the digital inclusive finance could promote households consumption. A heterogeneity analysis showed that households with fewer assets, lower income, less financial literacy and in third- and fourth-tier cities experienced larger facilitating effects of digital finance on consumption compared to their counterparts. For consumption categories, digital finance was positively correlated with food, clothing, house maintenance, medical care, and education and entertainment expenditures. In terms of consumption structure, digital finance mainly promoted the recurring household expenditures rather than the non-recurring expenditures. Further analyses based on the mediating model found that online shopping, digital payment, obtainment of online credit, purchase of financing products on the internet and business insurance, were the main mediating variables through which digital finance affected household consumption.     

The Marginal Costs and Benefits of Redistributing Income and the Willingness to Pay for Status

The effect of status on aggregate welfare is ambiguous for marginal reforms that redistribute income. If average consumption falls, the change in relative consumption increases household utility but reinforces the decrease in household labor supply, raising welfare cost. For parameterizations of the model developed here, reforms which lower average consumption increase aggregate welfare. Numerical calculations show that status increases marginal welfare cost and marginal net benefit for a demogrant reform. Redistributing to high income households may increase aggregate welfare depending on the definition of average consumption and if the willingness to pay for status increases with income.     

Household Response to Optional Peak-Load Pricing of Electricity

I investigate the impacts of voluntary time-of-day (TOD) rates on residential demand for electricity. My analysis is based on a sample of a survey, which provides cross-sectional data on electricity consumption and economic/demographic features for both TOD and non-TOD households in Japan. This information is used to develop an almost ideal demand system for the TOD electricity consumption during the summer. The results show that (1) household response to the high price of the peak period is relatively modest, and (2) the relative magnitudes of the price and selection effects depend on the ownership of water heaters.     

流动性约束、政府消费替代与中国居民消费波动

本文借用两个相关的模型探讨流动性约束和政府消费替代对于我国居民消费过度波动现象的解释力,发现流动性约束和政府消费分别通过弱化居民消费跨期优化能力和增强其对居民消费替代作用的渠道来增加居民消费波动,且前者的作用强于后者。本文同时发现流动性约束的增加减损居民福利,而政府消费替代比例的增加则能提高居民福利。     

Forests, biomass use and poverty in Malawi

Malawi is one of the poorest countries in Africa and has faced significant deforestation over the years. This paper seeks to examine the nature of the relationship between poverty and forests in Malawi. We try to answer three sets of questions: a) what is the extent of biomass available for meeting the energy needs of the poor in Malawi and how is this distributed? b) To what extent does fuelwood scarcity affect the welfare of the poor? And c) do households spend more time in fuelwood collection in response to scarcity? We answer these questions by matching household surveys with remote-sensing data.Our analyses suggest that biomass scarcity is associated with small but significantly lower household welfare, particularly for the rural poor. At current high levels of scarcity, 80% of rural poor households are likely to benefit from an increase in biomass in the community. Rural women spend more time on fuelwood collection where biomass is scarce. The small decrease in welfare associated with biomass scarcity suggests that households cope with scarcity in a variety of ways. Any effort to reduce degradation and deforestation in Malawi has to build on a clear understanding of household adaptation to fuelwood scarcity.     

农户土地租赁行为及其福利效果

本文根据2003—2009年817个样本农户的微观面板数据,首先运用Biprobit模型,识别出了农户租入和租出土地决策的影响因素,解决了以往文献所忽视的内生性问题和"遗漏问题";然后运用多重内生处理效应模型估计了土地租赁的福利影响,解决了不可观测的变量所导致的自选择性问题,结论表明只要是在自愿基础上所进行的租赁,无论是租出土地还是租入土地,都会增加农户效用,提高农户福利水平。     

Did China’s Rural Appliance Rebate program boost home appliance consumption during the latest recession?

This article investigates the effectiveness of China’s “Rural Appliance Rebate” (RAR) program in boosting rural appliance consumption during the latest economic recession. Based on two rounds of rural household survey data in China, we adopt a difference-in-difference matching approach to assess the extent to which these rebates induced greater rural appliance consumption than they otherwise would have. Our analysis finds that the RAR program boosted subsidized home appliance consumption, but its stimulus effects are driven mainly by cell phones, no significant impacts are detected on refrigerators and color TVs, and its impacts on aggregate home appliance consumption are not pronounced on the whole. Our investigation into the heterogeneity of these effects suggests that, for low income households, the RAR program prominently boost their aggregate home appliance consumption.     

Medicare for all or medicare for none? A macroeconomic analysis of healthcare reform

In this study, I develop a novel general equilibrium life cycle model composed of finitely-lived households that differ according to age, skill level, and access to employer-provided health insurance. After introducing a “Medicare for all” health insurance system to the model, I examine how the welfare response to this policy change will differ according to household characteristics. Then, I compare this system to a completely privatized health insurance system that achieves universal health insurance coverage through the creation of utilization-based premium subsidies. In general, both systems tend to improve the welfare of young households at the expense of old households. However, when using average value-of-life as the primary measure of welfare, Medicare for all either benefits unskilled households at the expense of skilled households, or makes both worse off. In contrast, the privatized system improves the average value-of-life of all household groups, regardless of skill level or prior access to employer-provided health insurance.     

Material and nonmaterial impacts of the COVID-19 pandemic: Evidence from a low-income country

How have COVID-19-related restrictions affected consumption levels and life satisfaction in low-income countries? We conducted phone surveys with 577 households in Liberia to compare consumption patterns across three points in time: November 2019 (pre-COVID-19), May 2020 (short term), and September 2020 (medium term). This article analyzes the impacts of the Covid-19 pandemic and the related restrictions on food and nonfood consumption, which we categorize as “material” welfare and life satisfaction, which we categorize as “nonmaterial” welfare. We find differences between food and nonfood consumption patterns under pandemic conditions. In particular, consumption by households dependent on food and labor markets was negatively affected by the pandemic. In terms of life satisfaction, we find that most respondents perceived their lives to have worsened due to the pandemic.     

The impacts of social pension on rural household expenditure: evidence from China

In 2009, China began to implement a new social pension scheme in rural areas. We examine the impacts of this social pension on two main components of rural household expenditure, consumption and agricultural production investment. Our findings show that on average, rural households increase consumption by 1–3% and agricultural investment by as high as 6–9% in pilot counties. Further estimations reveal that the pension mainly affects the households with old-aged members and the poorer families, and that the saving rate hasn’t been changed by the pension, which support more the contingent income than the life-cycle hypothesis. We also find that among various types of expenditures, the most dramatic increases have occurred in food consumption and operational inputs on agricultural production.     

Losers amongst the Losers:: The welfare effects of the great recession across cohorts

This paper studies the effect of deep recessions on intergenerational inequality by quantifying the welfare effects on households at different phases of the life cycle. Deep recessionary episodes are characterized by large declines in the prices of real and financial assets and in employment. The former levies high welfare costs on older households who own financial wealth, the latter determines labour income losses and destroys the human capital of younger cohorts, lowering their productivity. The paper extends previous analyses in the literature by including permanent labour income losses in an OLG model calibrated to match the Great Recession. The analysis shows that younger households lose more than double of all other living cohorts, as younger household become unemployed and experience a decline in their future income. The dynamics of households’ consumption and portfolio composition between 2007 and 2013 in the US are consistent with the predictions of the model.