Multi-country SDGs indicator projections involving impacts of economic shocks: A protocol applied to the COVID-19 pandemic for ASEAN-5 countries.

Economies often experience large shocks, necessitating the revision of development indicator forecasts, including Sustainable Development Goals (SDGs) indicators. Many of those, predicted for 2030, require continued monitoring and re-estimation of how great the impact of these shocks will be, e.g., comparing the achievements with and without the shocks (counterfactual). In this paper, we design a protocol to create datasets containing 2030 SDGs indicator projection estimates that can be used to monitor the extent to which current economic shocks will affect the trajectories of those indicators. We combine official United Nations Statistics Division (UNSTAT) SDGs indicator data and economic growth projections data and fit them into the protocol. The protocol includes filtering UNSTAT SDGs indicators for regression analysis connecting them with economic growth. We assume that the difference in economic growth projections before and after a shock is primarily caused by the shock. This implies that our protocol is less suitable for an episode of more subtle shocks or shocks with multiple causes. We use these estimates to create the SDGs indicators projection dataset. We applied this to ASEAN-5 countries and the COVID-19 pandemic. The same protocol can be used for other countries as well as other economic shocks.•The protocol is useful to monitor how previous projection trajectories of SDGs indicators are affected by relevant large economic shocks, such as those due to the COVID-19 pandemic. The resulted dataset can also be used for comparing achievements, with and without shocks (counterfactual).•This protocol can be used by national and international agencies, especially those in charge of planning, monitoring, and evaluating the SDGs agenda. The protocol and the resulting data would also be helpful to researchers working on SDGs issues.•In this paper, the protocol to create the projection dataset of SDGs applies for the ASEAN-5 countries using the COVID-19 shocks. These can also be applied for other countries and other economic shocks.

Domestic wastewater in Indonesia: generation, characteristics and treatment.

With a 270 million Indonesian population, domestic wastewater is one of the major contributors to wastewater generated from human activities. This review aimed to give an overview of the current state of domestic wastewater generation, characteristics and treatment systems in Indonesia. Overall, grey water quantity in Indonesia was 1 to 4 times higher than black water quantity, while the quantity of untreated grey water was 3 to 6 times higher than untreated black water. Parameters of concern include suspended solids, biochemical oxygen demand, chemical oxygen demand, oil and grease, nitrogen and coliforms. Our analysis shows that grey water can be a significant source of water pollution due to the large quantity and lack of treatment. In addition, black water treatment that relies mainly on on-site treatment is often inadequate due to the lack of quality control for the infrastructure, operation and maintenance. An incentive or penalty scheme to build and ensure the quality of domestic wastewater treatment is required and can be applied at the household, community or central (city) level.

Effects of water and health on primary school enrolment and absenteeism in Indonesia.

Clean water provision remains a serious problem in low- and middle-income countries. In 2017, about 30% of the world population relied on unimproved water sources located outside of the dwellings. Often women and children are occupied in fetching water. This situation increases the prevalence of water-related diseases such as diarrhoea and reduces children's study time. School attendance may decrease due to the combined effects of diarrhoea and time spent on fetching water. We investigate the effects on school absenteeism and primary school enrolment in Indonesia, using a panel data set for 295 districts over the period 1994-2014. Districts with higher diarrhoea prevalence are found to have lower school enrolment (B: -0.202, sig p < 0.01) and higher school absenteeism (B: 2.334, sig p < 0.001). Districts where more households have access to private water facilities have higher school enrolment (B: 0.025, sig p < 0.01) and lower school absenteeism (B: -0.027, sig p < 0.01). More use of piped and bottled water in a district is associated with a lower diarrhoea prevalence (B: -0.004, sig p < 0.05). Policy-makers should take the benefits of improved water supply into account when making cost-benefit analyses regarding investments in water infrastructure.

The switch to refillable bottled water in Indonesia: a serious health risk.

In recent years, the consumption of refillable bottled water has increased considerably in emerging countries. However, the quality of this water is often questionable, as authorities lack the capacity to properly check refilling depots. Given that refillable bottled water not only replaces unimproved water sources, but also better-quality sources, like piped and branded bottled water, its increasing use poses a major health risk. We investigate the motives behind the decision to switch to refillable bottled water in Indonesia. Findings indicate that this switch is driven by lifestyle motives, as well as by cost and availability considerations. It is mostly the young affluent households who switch from piped and 'other' sources to refillable bottled water. In rural areas, the tendency to make this switch is negatively affected by availability problems and the higher price of refillable bottled water. Availability and cost also influence the switch from branded bottled to refillable bottled water, but here it is the poorer households who have a higher propensity to switch. Further exploration of the lifestyle motive and affordability issues, as well as better monitoring of the refilling depots, are needed to improve the quality of drinking water in Indonesia and other emerging countries.

Clean water, sanitation and diarrhoea in Indonesia: Effects of household and community factors.

Diarrhoea is an important health issue in low- and middle-income countries, including Indonesia. We applied a multilevel regression analysis on the Indonesian Demographic and Health Survey to examine the effects of drinking water and sanitation facilities at the household and community level on diarrhoea prevalence among children under five (n = 33,339). The role of the circumstances was explored by studying interactions between the water and sanitation variables and other risk factors. Diarrhoea prevalence was reported by 4820 (14.4%) children, who on average were younger, poorer and were living in a poorer environment. At the household level, piped water was significantly associated with diarrhoea prevalence (OR = 0.797, 95% CI: 0.692-0.918), improved sanitation had no direct effect (OR = 0.992, 95% CI: 0.899-1.096) and water treatment was not related to diarrhoea incidence (OR = 1.106, 95% CI: 0.994-1.232). At the community level, improved water coverage had no direct effect (OR = 1.002, 95% CI: 0.950-1.057) but improved sanitation coverage was associated with lower diarrhoea prevalence (OR = 0.917, 95% CI: 0.843-0.998). Our interaction analysis showed that the protective effects of better sanitation at the community level were increased by better drinking water at the community level. This illustrates the importance of improving both drinking water and sanitation simultaneously.