The potential role of social protection in the development process has received heightened recognition in recent years, yet making a strong investment case for social protection remains particularly challenging in many emerging and developing countries. This report challenges us to think deeply about the economic rationale for social protection investments through an inclusive development lens. It helps us understand the links between social protection, growth and inequality; how to measure those links empirically; social protection’s impact on inclusive growth; and how to build a more solid economic case for greater social protection investments.
The paper attempts to examine the conditions of the poor during the process of growth, particularly when one aims at inclusive growth. Thus a measure to capture the inclusiveness of growth process has been suggested through a Cobb-Douglas like function. It consists of two factors incorporating respectively the income and social opportunities effects of growth. The income factor takes in account the effect on average income of the poor relative to the poverty line, while the social opportunity indicator tracks the social opportunities available to poor as compared to the non-poor. To capture these two effects a functional form for Index of Inclusion (IoI) is presented.
While Asia’s growth record in recent decades is remarkable, it has been marred by rising inequalities. This book looks at recent trends of income and non-income inequalities in developing Asian countries, discusses their underlying driving forces, and examines key policy issues that need to be addressed to ensure that the benefits of growth will be more equitably shared in Asia. The book also presents a set of country studies that provide rich information on growth, poverty and inequality dynamics and the policy challenges that arise in marching toward inclusive growth.
We estimate a unified measure of inclusive growth for emerging markets by integrating their economic growth performance and income distribution outcomes, using data over three decades. Country distributions are calibrated by combining PPP GDP per capita and income distribution from survey data. We apply the microeconomic concept of a social mobility function at the macroeconomic level to measure inclusive growth that is closer to the absolute definition of pro-poor growth. This dynamic measure permits us to focus on inequality as well as distinguish between countries where per capita income growth was the same for the top and the bottom of the income pyramid, by accounting for the pace of growth. Our results indicate that macroeconomic stability, human capital, and structural changes are foundations for achieving inclusive growth. The role of globalization could also be positive with foreign direct investment and trade openess fostering greater inclusiveness, while financial deepening and technological change have no discernible effect.
This paper makes three basic contributions: a) review an already existing measure of 'inclusive growth' derived from a measure of inclusiveness (an increase in which is assumed to be associated with inclusive growth) and show that this is one among a class of an infinite number of possible measures; b) identify two drawbacks associated with the class of measures of 'inclusive growth' mentioned in a) and come up with a measure of inclusive growth which is not associated with one of these drawbacks; and c) propound a measure of inclusiveness of growth which allows the researcher the room to partition an income ordered population into blocks so that he/she can concentrate on inter-block inequality in growth rates of per capita income and neglect intra-block inequality (note that the formulation of this measure allows the researcher to partition the population into blocks in any which way he/she wants to) in growth rates of individual incomes.
The Inclusive Wealth Index provides important insights into long-term economic growth and human well-being. The Index measures the wealth of nations through a comprehensive analysis of a country's productive base and the country’s wealth in terms of progress, well-being and long-term sustainability. It measures all assets which human well-being is based upon, in particular, produced, human and natural capital to create and maintain human well-being over time.
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
Over the past decades ASEAN countries have experienced rapid economic growth accompanied by a dramatic fall in poverty rates, but income inequality has not retreated. This research aims at identifying factors which could contribute to more equally distributed growth in ASEAN. To measure inclusive growth, we use a variable integrating per capita income growth and an equity index. A cross-country panel analysis of the impact of macro-structural factors on inclusive growth and its two components suggests that fiscal redistribution, female labor force participation, productivity growth, FDI inflows, digitalization, and savings significantly drive inclusive growth. A scenario analysis based on our econometric results suggests that the implementation of fiscal redistribution and labor market-oriented structural reforms could help significantly accelerate inclusive growth in ASEAN.
