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Purpose – This chapter investigates vulnerability to poverty in the Republic of Haiti.

Methodology – We use a hierarchical modeling technique to allow the assessment and decomposition of vulnerability to poverty by exploiting the short-panel structure of nested data in a cross section.

Originality – Specifically, a three-level hierarchical model with a partially Bayesian restricted maximum likelihood is used in the estimation procedure. This is novel in this literature.

Findings – The decomposition method adopted in this chapter reveals that vulnerability in the Republic of Haiti is largely a rural phenomenon and is correlated negatively with schooling. The results also disclose the lack of equality in various aspects of circumstances or opportunities, including education, as the salient factor determining the status and level of vulnerability of households. Most importantly, among the different shocks affecting household's income, it is found that meso-level shocks are in general far more important than covariate shocks. This finding points to some interesting policy implications in terms of decentralizing policies and delegating more powers and providing better means to local governments to enhance household resilience to shocks and to alleviate their vulnerability to poverty.

Using harmonized wealth data and a novel decomposition approach in this literature, we show that cohort effects exist in the income profiles of asset and debt portfolios for a sample of European countries, the United States, and Canada. We find that the association between household wealth portfolios at the intensive margin (the level of assets) and household characteristics is different from that found at the extensive margin (the decision to own). Characteristics explain most of the cross-country differences in asset and debt levels, except for housing wealth, which displays large unexplained differences for both the under-50 and over-50 populations. However, there are cohort differences in the drivers of wealth levels. We observe that younger households’ levels of wealth, given participation, may be more responsive to the institutional setting than mature households. Our findings have important implications, indicating a scope for policies which can promote or redirect investment in housing for both cohorts and which promote optimal portfolio allocation for mature households.

The purpose of this paper is to investigate empirically the effects of different dimensions of social capital on the well-being of farmers in China’s undeveloped poverty-stricken areas, and study the equivalent multiple of social capital and income compensation.

The paper opted for an exploratory study using the open-ended approach of grounded theory, including 1,176 interviews with rural households in poverty-stricken areas in China. The data were complemented by documentary analysis. Then an econometric model of social capital and farmers’ well-being was applied to the data.

The results show that the number frequently visiting relatives, reciprocity, participation and trust level are significantly positively related to the well-being of the farmers, and the level of participation in social capital requires the most income compensation, while the level of trust comes second.

This paper can serve as a template for developing a useful tool that can be fitted to national or regional data for studying the effects of social capital on the well-being of farmers in poor areas or countries and for calculating the concrete equivalent multiple of social capital and income compensation.

An important hypothesis put forth by Amartya Sen is that a given level of per capita real income in a population can generate quite different levels of socio‐economic well‐being depending on the economic infrastructure of that population and the distribution of income. Sen's hypothesis is refined in this paper to reflect the manner in which income is spent and labor is allocated and utilized within a household specific to particular groups within society and how this impacts upon both the level of well‐being and economic efficiency. The evidence on living conditions and mortality presented here from early twentieth century New York City, underlies the potential significance of the household economy as a key determinant of economic well‐being. Focusing simply on per capita income estimates, even corrected for the distribution of income, misses fundamentally important determinants of human capabilities and economic well‐being with potentially important implications for public policy.

To better understand the use intensity of e-government service offerings among citizens, a considerable number of studies have examined correlations between various attitudinal constructs related to such offerings and citizens’ service adoption (intentions). This investigational paper aims to take a different angle by exploring associations between a set of 11 objectively identifiable household and individual behavioral and socio-demographic characteristics on the one side and three levels of e-government services use on the other.

The empirical analysis is based on survey responses of a random sample of 17,012 individuals residing in Germany.

Ordinal logistic regression analysis suggests that citizens with low use levels of public e-service offerings are most likely younger male persons with low levels of computer literacy, internet affinity and education, who have a migration background and live in small mid-level-income households located in rural communities.

The findings imply that public institutions may find it difficult to rapidly raise e-government acceptance by distributing only “technocratic” information explaining various service options. Public authorities should consider supplementing “pure” information programs by measures which ensure that the software of e-government service platforms is designed in a way guaranteeing a very high level of “usability”. Furthermore, they should analyze whether the benefits of providing e-government services in specific foreign languages outweigh the costs of such a service extension. If this is the case, an easy-to-use software menu item should be introduced which enables citizens to switch to another common foreign language.

The contribution of this paper results from the analysis of a set of objective predictors of e-government service use in a large random sample of citizens residing in Germany, whereas most prior studies are based on surveys of small convenience samples in other countries.

The purpose of this paper is to gain more insight into the relationship between off‐farm employment of rural households and water‐saving investments and irrigation water use in rural China.

Data from a survey held among 317 households in Minle County, Zhangye City, Gansu Province, covering the year 2007, are used for a probit analysis explaining investments in land leveling and for an ordinary least squares regression explaining irrigation water use per mu.

Off‐farm employment is not significantly related to investments in land leveling, but is negatively associated with water use per mu. In addition, the paper finds that the share of migrant students in a household is positively related to investments in land leveling. The results indicate the presence of major factor market imperfections in the research area, and confirm that the new economics of labor migration (NELM) approach is more relevant for analyzing off‐farm employment and agricultural production in China than neoclassical economic theory.

The paper expands the NELM approach towards the analysis of water‐saving investments and water use. In addition, it distinguishes migrant students as an important category that should be taken into account in analyzing farm household decisions making.

The key purpose of this paper is to quantify the size of the energy-efficiency gap (EEG) for air conditioners at the household level in Delhi. Most of the studies in the EEG tradition broadly define EEG as the difference between the actual and optimal level of energy efficiency. The optimal level of energy efficiency is defined at the societal level (that weigh social costs against social benefits) and the private level (that weigh private costs against private benefits).

The authors base the empirical results in this study on the basis of the primary data collected through in-person interviews of the high-income urban households in Delhi in 2014-2015. The sample of 101 households was collected through purposive random sampling. The survey data include information on type and number of AC possessed, hours of operations, socioeconomic characteristics and awareness and habits of households.

Using primary data of 101 high-income urban household, the paper finds that average EEG is about 10 per cent of total electricity demand of ACs at the household level. The maximum current saving potential measured as a difference between hypothetical energy consumption, if everyone adopts five star ACs, and actual energy consumption is estimated about 14 per cent of the total electricity demand of ACs. Results from the ordinary least squares regressions demonstrate that individual’s habits, attitude, awareness of energy-efficiency measures and perceptions significantly determine the size of the EEG. Among other things, authors’ empirical analysis shows that information can play a central role in guiding investment in energy-efficient technologies. From the analysis of improving access to understandable information about cost savings, payback period and emission reduction, it is found that full information leads to the significant reduction in the size of the expected private energy-efficiency gap from 10 to 2.98 per cent at the household level.

This paper tests the significance of non-economic and non-social factors in determining the size of the EEG. Apart from socioeconomic factors such as income, occupation and education, individual’s energy-conserving habits and attitudes, awareness of energy-efficiency measures and perceptions are other important factors found to have a significant negative impact on the size of the EEG. This is particularly important for the designing of information programs by policymakers for promoting energy-efficiency choices in view of the change that is required in the behavior and attitudes of the households.

In this study, authors try to estimate the size of the EEG of ACs for the high-income urban households in Delhi. The private energy-efficiency gap estimated at 10 per cent of the household demand for ACs indicates existing saving opportunity for the private households. It is found that provision of comprehensive information about cost savings, payback period and emission reduction reduces the size of the EEG significantly from 10 to 2.72 per cent at the private level. This highlights the existence of limited and incomplete information in the market about the possible costs and benefits of energy-efficiency investments. This paper tests the significance of non-economic and non-social factors in determining the size of the energy-efficiency gap. Apart from socioeconomic factors such as income, occupation and education, individual’s energy-conserving habits and attitudes, awareness of energy-efficiency measures and perceptions are other important factors found to have a significant negative impact on the size of the EEG. This is particularly important for the designing of information programs by policymakers for promoting energy-efficiency choices in view of the change that is required in the behavior and attitudes of the households.

The purpose of this paper is to examine the effect of perceived land tenure security in China on farmers' decisions to invest in relatively long‐term land quality improvement measures, taking into account the potential endogeneity of tenure security.

Data from a survey held in 2008 and 2010 among 259 households in Minle County, Gansu province, covering the years 2007 and 2009, are used to estimate the factors affecting land levelling investments, irrigation canal investments and perceived land tenure security. The authors use the 2SCML technique and the IVLS method to estimate a selection model and a non‐limited regression model, respectively, and use IVP methods to examine the robustness of the results.

The authors' results indicate that perceived land tenure security significantly affects self‐governed investments but does not affect individual investments in land quality improvements. In particular, the authors find that households that consider land certificates as important for protecting land rights invest significantly more in irrigation canals construction and maintenance. The authors' results further provide evidence that individual investments in land quality improvement contribute to higher perceived land tenure security.

The paper contributes to the available literature on the relationship between land tenure security and land investments by examining the role of perceived (instead of formal) land tenure security and by making a distinction between individual household investments and self‐governed land investments. The authors' results provide an explanation for the phenomenon that land readjustments still take place in some parts of China, but not in others.

Focusing on micro-level indicators, we investigate financial inclusion levels in rural China, examining its determinants and impact on household welfare. We construct a financial inclusion index of four essential financial services: savings, digital payments, credit and insurance. We identify factors influencing financial inclusion among Chinese rural households and assess the effects of financial inclusion on household welfare.

With the entropy method, we use data from the 2019 China Household Finance Survey to assess financial inclusion levels in rural China. Determinants and their impact on welfare are analyzed through probit and ordinary least squares models, respectively. Propensity scoring matching is applied to address potential endogeneity.

We reveal that rural households exhibit limited usage of formal financial services, with notable regional disparities. The eastern region enjoys the highest financial inclusion and the central region lags behind. Household characteristics such as family size, education level of the household head, income, employment status and financial literacy significantly influence financial inclusion. Financial inclusion positively impacts household welfare as indicated by household consumption expenditure. The use of different types of financial services is crucial with varying but significant effects on household welfare.

This study offers valuable insights into China’s rural financial inclusion progress, highlighting potential barriers and guiding government actions.

China's New Rural Pension Program (NRPP) has been implemented for a decade, but the factors that facilitate rural residents' participation have received little attention. This study aims to investigate whether financial literacy has an influence on rural residents' behavior of participation in the NRPP. In particular, this study further verifies if high financial literacy is important and whether financial education can enhance the impact of financial literacy on current, long-term and dynamic pension decisions of rural households.

This study investigates the impact of financial literacy on rural residents' participation in China's NRPP using the China Household Financial Survey (CHFS) Data of 2015 and 2017. This study constructs an analytical framework for current, long-term and dynamic impacts and comprehensively analyzes the value of financial literacy in the decision making of the NRPP. This study uses the instrumental variable method to solve the possible endogeneity problem. In addition, the authors also demonstrate the positive role of high financial literacy in household pension decisions. Further analysis reveals gender and regional heterogeneity in the impact of financial literacy on pension decisions. The moderating effect model explores whether financial education has a significant moderating effect on financial literacy and pension decision making of the NRPP.

Financial literacy can improve the participation behavior of households in rural areas (dynamic effect) and promote their current and long-term participation in the NRPP, choosing a higher pension contribution level in the NRPP. However, financial literacy has no significant effect on the change in the contribution amount of the NRPP. Further research finds that high financial literacy has comparative advantages in household pension decision making in rural areas. There are gender and regional differences in the impact of financial literacy on pension decisions. In addition, effective financial literacy education enhances the current, long-term and dynamic impacts of residents' financial literacy on NRPP participation and pension contributions.

This study comprehensively considers the impact of financial literacy on pension decision making behavior from three aspects: current, long-term and dynamic, making up for the dearth in the existing literature that only focuses on the impact of financial literacy on current financial behaviors and bridging the gap between the theoretical framework and experimental results. Our study proposes new policy implications: (1) Governments and financial institutions should pay attention to financial literacy and education levels in rural areas and carry out financial education and training programs to increase social welfare levels by increasing rural residents' participation and pension contribution. (2) The community can strengthen the policy advocacy of the NRPP and make people develop a stronger sense of trust toward it. The government can also subsidize individual accounts through financial support.

This study comprehensively considers the impact of financial literacy on pension decision-making behavior from three aspects: current, long-term and dynamic, making up for the dearth in the existing literature that only focuses on the impact of financial literacy on current financial behaviors and bridging the gap between the theoretical framework and experimental results. Our study proposes new policy implications: (1) Governments and financial institutions should pay attention to financial literacy and education levels in rural areas and carry out financial education and training programs to increase social welfare levels by increasing rural residents' participation and pension contribution. (2) The community can strengthen the policy advocacy of the NRPP and make people develop a stronger sense of trust toward it. The government can also subsidize individual accounts through financial support.