Asset indexes and the measurement of poverty,inequality and welfare in Southeast Asia

Using data on household consumer durables from the Asian Barometer Survey, this paper examines the evolution of inequality, poverty and welfare in six countries of South East Asia: Cambodia, Indonesia, Malaysia, the Philippines, Thailand and Vietnam. We start by deriving the most common order of acquisition of these durables, using first an algorithm proposed by Paroush (1965), and then Item Response Theory. We also compute the frequency distribution of the number of durables owned by households. We then use these results to compute inequality, poverty and achievement or welfare indices adapted to the case of ordinal variables.Our empirical results confirm the existence of an order of acquisition. The results show that inequality was higher in Cambodia, Indonesia and the Philippines and lower in Vietnam, Thailand and Malaysia. A similar classification of countries was obtained when computing multidimensional poverty indices.Finally, using the welfare or achievement index recently introduced by Apouey et al. (2019), we found that welfare was generally higher in Vietnam, Thailand and Malaysia and lower in Cambodia, Indonesia and the Philippines.     

产权性质、企业精准扶贫行为与资本市场反应

以2015~2018年A股上市公司为研究对象，考察企业精准扶贫行为动因与方式选择及所引起的市场反应。结果发现：国有企业和政治关联民营企业精准扶贫更积极，但两者精准扶贫方式存在差异，国有企业更倾向整合型精准扶贫，政治关联民营企业则倾向慈善型精准扶贫。进一步，企业参与精准扶贫产生了积极市场反应；相较国有企业，民营企业精准扶贫产生的市场反应更积极，尤其体现在政治关联民营企业中。同时，扶贫方式及扶贫持续性对精准扶贫信息披露的市场反应有影响。     

A multivariate time series analysis of energy consumption,real output and pollutant emissions in a developing economy: New evidence from Nepal

Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debates in spite of their fundamental importance towards global sustainable development. This study examines the inter relationships between energy consumption, output and carbon emissions in a developing mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975–2013 is studied applying a multivariate framework using population and gross fixed capital formation as additional variables for Nepal. Testing for Granger causality between integrated variables based on asymptotic theory reveals a long-run unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from carbon emissions to GDP. We suggest that the government of Nepal can address energy poverty by accelerating the adoption energy conservation policies such as rationing energy consumption and energy efficiency improvements to narrow the energy supply-demand gap. The opportunity to promote the uptake of decentralised off-grid renewable technologies in remote areas and the large scale development of hydropower at the national level also needs to be prioritized. Our results remain robust across different estimators and contributes to an emerging literature on the nexus relationships between energy consumption, income and carbon emissions in mountainous developing economies.     

Measurements and determinants of multifaceted poverty in South Africa

Poverty, despite being a multifaceted concept, is commonly measured in either absolute or relative monetary terms. However, it can also be measured subjectively, as people form perceptions on their relative income, welfare and life satisfaction. This is the first study that uses the National Income Dynamics Study data to analyse poverty across various objective and subjective methods. The paper finds that while respondents' poverty status varies across methods, blacks remain the racial group most likely to be defined as poor by at least one method. The multivariate analysis reveals that the impact of some explanatory variables, such as experience of negative events, frequency of crime victimisation, health status and importance of religious activities, is mixed across methods.     

Global energy forecasting competition 2017: Hierarchical probabilistic load forecasting

The Global Energy Forecasting Competition 2017 (GEFCom2017) attracted more than 300 students and professionals from over 30 countries for solving hierarchical probabilistic load forecasting problems. Of the series of global energy forecasting competitions that have been held, GEFCom2017 is the most challenging one to date: the first one to have a qualifying match, the first one to use hierarchical data with more than two levels, the first one to allow the usage of external data sources, the first one to ask for real-time ex-ante forecasts, and the longest one. This paper introduces the qualifying and final matches of GEFCom2017, summarizes the top-ranked methods, publishes the data used in the competition, and presents several reflections on the competition series and a vision for future energy forecasting competitions.     

Lessons from the recent economic crisis: the Australian household stimulus package

This paper provides an impact evaluation analysis of the 2009 Australian Household Stimulus Package, which was composed by three main cash payments: the Back to School Bonus, the Single Income Family Bonus and the Tax Bonus for Working Australians. Using panel data from the 2008 and 2009 HILDA surveys, the results show that these cash payments reduced the risk of poverty and stimulated consumption expenditure. Nonetheless, only the Back to School Bonus and the Single Income Family Bonus were really important in achieving these goals, while the Tax Bonus for Working Australians did not contribute to stimulate consumption and failed to reduce the risk of poverty. Thus, the analysis confirms the crucial role of governments to protect the most vulnerable groups avoiding a dramatic deterioration of social outcomes and favoring a fast economic recovery when interventions are timely and well-targeted.     

Potential Impact of Climate Change and Armed Conflict on Inequality in Sub-Saharan Africa

This study investigates the potential impact of climate change and armed conflict on inequality in Sub-Saharan Africa (SSA). The system-GMM for a panel of 35 SSA countries is employed using annual data from 1997 to 2018. The empirical results indicate that armed conflict and climate are major drivers of inequality in SSA. The direct impact of the two determinants is more than the indirect impact. Also, the impact of armed conflict is more than the climate change. The coefficients of population growth, output growth, unemployment, natural rent, exchange rate and inflation rate are significant positive predictors of inequality in the SSA. The study advocates for a multidisciplinary inclusive growth strategy that prioritises the climate change reversal, de-escalation of armed conflict, population control, reduction of the unemployment rate and increasing informal sector productivity, to promote inclusive growth and reduce inequality. However, sequencing the policy targets relative to the magnitude of their impact on inequality is extremely crucial.     

Energy efficiency promotion backfires under cap-and-trade

Major climate-cum-energy policies and respective impact projections rest on the widespread belief that increased energy efficiency can be equated with savings in energy use and emissions. This belief is flawed. Due to the rebound effect emissions savings from energy efficiency improvements will be generally less than what is technically feasible, or even be reversed. By means of an analytical general equilibrium model we demonstrate the latter to be true in a case that is both stark and relevant: if electricity generation is subject to a cap-and-trade scheme with partial coverage, increased efficiency of electric devices leads unambiguously to increased carbon emissions. The result implies that a proper distinction between the energy rebound and the carbon rebound is warranted, and that public policy must carefully consider the interactions between energy efficiency promotion and carbon pricing.