Assessing Poverty Trends in Indonesia by International Poverty Lines

Indonesia has made well-documented and drastic progress in raising average incomes and reducing poverty. This article adds to the literature by providing a complementary perspective of poverty between 1984 and 2011. We discuss the evolution of poverty in Indonesia using international poverty lines—$1.25 per person per day (in 2005 purchasing power parity dollars) and $2.00 per day, and we add $10.00 per day. We generate estimates of poverty since 1984 and make projections based on various trends in growth and inequality. We find that Indonesia has the potential to become a high-income country by around 2025 and end $1.25-per-day and $2.00-perday poverty by 2030, but this will require strong economic growth and favourable changes in distribution. Looking ahead, the end of poverty in Indonesia may mean that a large proportion of the population will remain vulnerable to poverty for some time to come, suggesting that public policy priorities will need to balance insurance and risk-management mechanisms with more ‘traditional’ poverty policy.     

Do the poor benefit from globalization regardless of institutional quality?

Despite significant progress towards the Millennium goals, more than one billion people live on less than 1.25 US dollars per day. Previous research suggests that globalization stimulates poverty reduction, but does not investigate what role institutions play in this relationship. Theoretically, globalization could act as either a complement or a substitute to institutional quality in reducing poverty. We find that the poverty-reducing effect of globalization is stronger when institutions are weak. In particular, increasing social globalization reduces poverty more when corruption is high and democratic accountability is low. Thus, globalization has the power to reduce poverty even in countries with low institutional quality.     

Creating Opportunities for Women in the Renewable Energy Sector: Findings from India

This paper identifies opportunities and constraints that low-income women face in accessing livelihoods in the renewable-energy sector in India through qualitative and quantitative research conducted in collaboration with The Energy Resources Institute (TERI) and the Self Employed Women's Association (SEWA) in 2012–13. Whereas previous research has focused on women mostly as end users of solar and biomass technologies, this research attempts also to understand women's potential as entrepreneurs, facilitators, designers, and innovators. Findings reveal that although access to technology and employment in the energy sector is limited by inadequate purchasing power and low social status, there is tremendous potential to create livelihoods for women at all levels of the energy supply chain. Broader findings indicate that women can gain optimal traction from employment in the energy sector only if there are wider socially progressive policies in place, including state intervention to create a robust social welfare infrastructure and accessible, high-quality, public services.     

Inequality and Trade Policy: The Pro‐Poor Bias of Contemporary Trade Restrictions

This paper studies the pro‐poor bias of trade policy in India by estimating the household welfare effects of removing the current protection structure. The elimination of a pro‐poor trade policy is expected to have a negative differential welfare effect at the low end of the distribution. The paper first constructs trade restrictiveness indexes for household consumption items and industries using both tariffs and non‐tariff barriers. The results indicate that Indian trade policy is regressive through the expenditure channel as it disproportionately raises the cost of consumption for poorer households, while it is progressive through the earnings channel. Based on the net welfare effects, the elimination of the current trade protection structure is estimated to reduce inequality. These results indicate that a trade policy that is progressive through the earnings channel may induce a price effect that is regressive through the expenditure channel.     

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.