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Despite significant improvements in many health outcomes over the past sixty years, many chronic problems in Indonesia's health system including financial sustainability, governance and inequities in accessing health care have long been apparent, even before the COVID-19 pandemic. The epidemiological transition associated with demographic and socioeconomic change in recent decades makes Indonesia one of many countries that still struggle to address the issues of communicable, maternal and nutritional diseases while facing an increasing burden of non-communicable diseases.

The contributors to In Sickness and In Health: Diagnosing Indonesia investigate challenges and opportunities facing the Indonesian health system and assess hurdles that Indonesians have to navigate in their quest to achieve a longer and better quality of life. Politics shaping recent health policy reforms in Indonesia, barriers to the supply of specialist doctors and quality medicines, availability of accurate health and population data, and the financial toll of the COVID-19 pandemic are among the topics discussed in this book. Accessing essential health services for mothers and children and for those living with disability, discrimination and mental illness, as well as an innovative trial to control dengue, are also examined.

Public health --- SOCIAL SCIENCE / General.

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Beginning in December 2019, the coronavirus swept quickly through all regions of the world. COVID 19 has wreaked social, political and economic havoc everywhere and has shown few signs of entirely abating. The recent development and approval of new vaccines against the virus, however, now provides some hope that we may be coming to the beginning of the end of the pandemic. This volume collects papers from a conference titled Economic Dimensions of COVID 19 in Indonesia: Responding to the Crisis, organised by the Australian National University's Indonesia Project and held online 7-10 September 2020. Collectively, the chapters in this volume focus for the most part on the economic elements of COVID 19 in Indonesia. The volume considers both macro- and micro-economic effects across a variety of dimensions, and short- and long-term impacts as well. It constitutes the first comprehensive analysis of Indonesia's initial response to the crisis from an economic perspective.

COVID-19 Pandemic, 2020 --- -Economic aspects --- Indonesia --- Economic policy. --- -Epidemics --- Economic aspects

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Indonesia

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In this paper, we use a measure of fluid intelligence, an adaptive number series test, to measure that part of cognition for respondents in two developing countries: China and Indonesia, both with very low educated elderly populations. This test was specially adapted by us and our collaborators from measures used in the United States to better fit such populations. We also use a measure of episodic memory and one measuring mental state intactness and examine their distributions and then the socio-economic gradients associated with each, concentrating on gender differences and how those change as SES and variables measuring community development are added. We find large variation in our cognition measures in both countries, even among those 60 and over with no schooling. We explore the bivariate socio-economic gradients for these measures, separately for different age groups: 45-59 and 60 and above. We find strong gender, education and rural-urban gradients. Of these, the education gradient is the strongest, followed by the rural-urban gradient. China has a stronger rural-urban gradient than Indonesia, which is associated with the hukou residential permit system in China. We find a significant, negative multivariate differential for women, that is significantly larger in China than Indonesia. The gender differential in both countries is smaller for the mid-aged, 45-59, for whom the gender schooling differentials are smaller. The gender differential declines substantially, and the China-Indonesia differential disappears once we control for SES characteristics. Adding community measures related to mean schooling and asset levels does not affect the gender differential. Schooling levels are monotonically and significantly related to higher levels of cognition for all three of the variables we use. The magnitudes of the schooling coefficients are relatively large. Higher log of household per capita expenditure (pce) is positively associated with cognition, more so in China. Other SES characteristics such as height, are also positively related to the cognition measures, again more strongly so in China. Rural respondents have substantially lower levels of cognition measures, with a significantly stronger gradient in China. Mean community level schooling and log pce are also positively related to cognition outcomes, especially for elderly women.

Zonder onderwerpscode: economie

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In this paper, we use a measure of fluid intelligence, an adaptive number series test, to measure that part of cognition for respondents in two developing countries: China and Indonesia, both with very low educated elderly populations. This test was specially adapted by us and our collaborators from measures used in the United States to better fit such populations. We also use a measure of episodic memory and one measuring mental state intactness and examine their distributions and then the socio-economic gradients associated with each, concentrating on gender differences and how those change as SES and variables measuring community development are added. We find large variation in our cognition measures in both countries, even among those 60 and over with no schooling. We explore the bivariate socio-economic gradients for these measures, separately for different age groups: 45-59 and 60 and above. We find strong gender, education and rural-urban gradients. Of these, the education gradient is the strongest, followed by the rural-urban gradient. China has a stronger rural-urban gradient than Indonesia, which is associated with the hukou residential permit system in China. We find a significant, negative multivariate differential for women, that is significantly larger in China than Indonesia. The gender differential in both countries is smaller for the mid-aged, 45-59, for whom the gender schooling differentials are smaller. The gender differential declines substantially, and the China-Indonesia differential disappears once we control for SES characteristics. Adding community measures related to mean schooling and asset levels does not affect the gender differential. Schooling levels are monotonically and significantly related to higher levels of cognition for all three of the variables we use. The magnitudes of the schooling coefficients are relatively large. Higher log of household per capita expenditure (pce) is positively associated with cognition, more so in China. Other SES characteristics such as height, are also positively related to the cognition measures, again more strongly so in China. Rural respondents have substantially lower levels of cognition measures, with a significantly stronger gradient in China. Mean community level schooling and log pce are also positively related to cognition outcomes, especially for elderly women.