Is green growth relevant for poor economies?

To be relevant to developing countries, green growth must be reconciled with the two key structural features of natural resource use and poverty in these countries. First, primary products account for the majority of their export earnings, and they are unable to diversify from primary production. Second, many economies have a substantial share of their rural population located on less favored agricultural land and in remote areas, thus encouraging “geographic” poverty traps. If green growth is to be a catalyst for economy-wide transformation and poverty alleviation in developing countries, then it must be accompanied by policies aimed directly at overcoming these two structural features. Policies and reforms should foster forward and backward linkages of primary production, enhance its integration with the rest of the economy, and improve opportunities for innovation and knowledge spillovers. Rural poverty, especially the persistent concentration of the rural poor on less favored agricultural lands and in remote areas, needs to be addressed by additional targeted policies and investments, and where necessary, policies to promote rural-urban migration.     

Where to donate: The geographical distribution of corporate philanthropy in China

An emerging body of literature has demonstrated that corporate philanthropy can be an important part of a company’s business strategy. However, we know relatively little about how companies allocate philanthropic resources to achieve their strategic targets. Using geographical distribution data on corporate philanthropy in China from 2009 to 2016, we provide robust evidence of companies’ revenue-driven regional favoritism. Specifically, companies donate more to regions where they obtain revenue than to other regions. Further evidence suggests that this revenue-driven regional favoritism may have both reputational and political motivations. Further analysis suggests that China’s targeted poverty alleviation policy has compromised revenue-driven regional favoritism while increasing the amount of money donated to poor regions. Overall, we enrich understanding of decision-making on corporate philanthropy. We also demonstrate that companies can use the geographical distribution of corporate philanthropy strategically to obtain consumer and government favor in regions where they operate. The results also provide evidence at the micro company level of the effect of China’s implementation of a targeted poverty alleviation policy.     

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。     

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.     

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.     

Salvador Allende's development policy: Lessons after 50 years

Last year, 2020, was the 50th anniversary of the opening of the ‘Chilean road to socialism’ by Salvador Allende. Although the Allende government is the political reference for the 'socialism of the 21st century’ in Latin America, international supporters tend to disregard the primary cause of its downfall, focusing instead on the circumstances of Allende's death. This article explains the link between the Allende government's development policies and its macroeconomic outcomes between 1970 and 1973. It finds that Chile's economic collapse had an endogenous cause related to government policies. This supports the views of Mises and Hayek on the feasibility of socialist economic policies. Policymakers and commentators should recognise essential lessons from the Chilean experience to learn from past errors and effectively promote Latin America's economic development.