How Inequality Affects Trust in Institutions: Evidence from Indonesia

Trust is an important ingredient to improve economic performance and people's welfare by alleviating market failures caused by imperfect information, costly enforcement, or coordination failures. Using the World Values Survey 2018, we estimate the impact of village and district levels inequality on trust in institutions in Indonesia. We find that higher village level inequality has a negative effect only on trust in strangers, while higher district level inequality reduces trust in television, the press, the central government, the courts, and the police. The implication points to the importance of keeping inequality at the aggregate level in check to maintain people's trust in social, political and state institutions.     

Early Experience and Later Outcomes of Education: Schooling Transition Evidence from Indonesia

This paper investigates the effect of early school experience on later educational attainment. Using the Indonesia Family Life Survey (IFLS), we find that students who repeat a grade at primary school are less likely to progress to junior high school. We also find that grade retention is associated with lower rates of transition from junior high school to senior high school. The relationship persists across years and samples. Meanwhile, the age of students when starting school and the hours they spend there have limited effects on whether they continue their schooling. We also observe that the effects of parental education and household income on the transition of students from primary school to junior high school are weakening. Given the long-term impact of grade retention, policymakers should be cautious when recommending it for underachieving children and should look for alternatives.     

ENERGY EFFICIENCY EVALUATION IN MANUFACTURING THROUGH AN ONTOLOGY‐REPRESENTED KNOWLEDGE BASE

Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge‐based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge‐based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology. Copyright © 2013 John Wiley & Sons, Ltd.     

Intragenerational Economic Mobility in Indonesia: A Transition from Poverty to the Middle Class in 1993–2014

Economic mobility, especially through expansion of the middle class, will dominate the future of Indonesia’s development agenda. Based on data from five waves of the Indonesia Family Life Survey (IFLS), we found that (1) poverty decreased significantly between 1993 and 2014, from 86.1% to 20.2%, while the middle class grew by almost nine times; (2) 34.4% of the poor moved into the middle class, but 11.9% were still categorised as chronically poor; (3) 42.3% of the middle class did not move into the upper class; (4) the middle and upper classes are vulnerable and easily fall into the lower classes. Our econometric estimations confirm that the drivers of economic mobility are educational attainment, formal employment, water and electricity supply, land ownership, and health investment. These findings suggest that investment in human and physical capital are the two main strategies to expand the middle class.     

The determinants of poverty dynamics in Indonesia: evidence from panel data

We use the ‘spell’ approach to identifying poverty and apply an ordered logit model to examine the determinants of poverty dynamics in Indonesia, categorising households as poor, transient poor (–), transient poor (+) or non-poor. Observing the National Socio-Economic Survey (Susenas) balanced-panel data sets of 2005 and 2007, we found that 28% of poor households are classified as chronically poor (that is, remaining poor in two periods) while 7% of non-poor households are vulnerable to being transient poor (–). Our estimations confirmed that the determinants of poverty dynamics in Indonesia are educational attainment, the number of household members, physical assets, employment status, health shocks, the microcredit program, access to electricity, and changes in employment sector, employment status and the number of household members. We also found that households in Java–Bali are more vulnerable to negative shocks than those outside Java–Bali.     

The relationship between corruption and public investment at the municipalities＇ level in Indonesia

This research is conducted to quantitatively measure the relationship between corruption and public investment at municipalities＇ level in Indonesia. According to Nash Equilibrium derived from mixed strategies, the relationship between corruption and public investment can be both positive and negative depending on the level of the corruption Index. Moreover, the econometric estimations from cross section data and pooled data consistently confirm that the relationship between corruption and public investment is in non linear quadratic form. It was found that the public investment reaches the lowest level when the corruption index ranges from 4.42-4.64.