Socioeconomic and Demographic Causes of Crime Reporting in Indonesia

Studies on the nexus between socioeconomic and demographic factors and crime reporting are still limited in Indonesia. Therefore, this study aimed to investigate the socioeconomic and demographic causes of crime reporting in Indonesia using data from the results of the 2021 National Socioeconomic Survey. The data were analyzed using a binary logistic regression model. The unit of analysis was the population aged 15 years and older. The dependent variable was whether or not someone who experienced a crime reported it to the police. The independent variables were socioeconomic and demographic factors. The results of the study showed that a lower probability of reporting crime to the police was associated with being female, being younger, having higher educational attainment, living in urban areas, living in Java island, and working, implying the need to improve information, education, and communication on crime reporting among these groups.JEL Classification: A12, J19, K00, K39How to Cite:Rajagukguk, W. (2023). Socioeconomic and Demographic Causes of Crime Reporting in Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 12(2), 413-424. https://doi.org/10.15408/sjie.v12i2.33436

Economic Determinants of Tourism in Indonesian Districts, with Panel Data

Tourism is a determinant of economic growth. Tourism can be seen as a factor that influences economic growth. Keynesian economic growth theory views tourism in terms of consumption and imports. Thus, increasing tourism has a back-and-forth impact on growth. This research was conducted to investigate the determinants of tourism in Indonesian districts/cities. The data used was obtained from INDODAPOER (World Bank, 2023). The analysis method uses univariate, bivariate and multivariate methods with panel data. The dependent variable is tourism (IDR Million). Meanwhile, the independent variables are Total Revenue (Idr. Million), Total Population, GDP on agricultural sector (IDR Million), Household Access to Electricity: Total (in % of total household), Regional GDP. It was found that all independent variables except GDP on agricultural sector (IDR million) had a positive impact on the growth of the tourism sector in Indonesia during the study period, namely, 2006 - 2019. Keyword: Socioeconomic determinan, tourisme, GDP growth, districk, Indonesi

DEMOGRAPHIC DIVIDEND IN INDONESIA

The impact of population on the economy, called the demographic dividend, is an increase in the share of population in the economic growth. The demographic dividend is the accelerated economic growth that may result from a decline in a country's mortality and fertility and the subsequent change in the age structure of the population (Gribble and Bremner 2012). World Bank (2016) classified Indonesia as early-demographic dividend countries. Samosir (2015) proposed that in Indonesia, the window of opportunity to reap the first demographic dividend in Indonesia occurred since the 1970s when fertility started declining. A measure of demographic dividend is the dependency ratio. The demographic dividend is the increase of the share of population in the economy. The analysis employed a non-linear method. The predictor is the gross domestic product (GDP) Current Price. The covariates are investment and population (employment opportunity). The data come from the Indonesia’s National Account in 1970-2015. Using the Cobb-Douglas (CD) model it was found that the share of population on the economy in Indonesia as a whole is 21.2442% and the share of employment opportunity is 23.0863%. Demographic dividend is the difference in these shares in the econometric model. Using a generalized Cobb-Douglass (GDC) model, after dividing the data into two time spans, it was found the acceleration of population share on the economy (demographic dividend through the whole population) amounted to 1.1527% and the acceleration of employment opportunity amounted to 1.8874% (demographic dividend through employment opportunity)

THE IMPACT OF JOINING WTO ON INDONESIA’S ECONOMY: ECONOMETRIC MODELLING APPROACH

This paper discusses the impact of Indonesia’s entry in WTO. The variables analyzed are macroaggregate ones, i.e. consumption, investment, export, import and gross domestic product (GDP) for the period of 1980–2010. The model considered is a new flexible Keynesian approach model. The results of the analysis show that consumption, investment, exports and imports increased when Indonesia joined WTO

Socioeconomic and Proximate Determinants of High Fertility in Timor-Leste

The purpose of this study was to examine the role of socioeconomic and proximate determinants in high fertility in Timor-Leste. The data used came from the 2016 Timor-Leste Demographic and Health Survey. The unit of analysis was women in union aged 35–49 years. The explanatory variables were socioeconomic and proximate background characteristics. The response variable was the number of children ever born. A Poisson regression analysis was employed to investigate the association between socioeconomic and proximate determinants and fertility. Government should improve maternal and child health care to reduce infant mortality and promote smaller ideal family size and marriage postponement, reduce unmet need for contraception, increase access to a mobile phone, enhance education access and employment opportunity for women, and socialize family planning and enhancing reproductive health and family planning program and fostering female labor force participation to encourage women and men to prioritize education and career over childbearing. Keywords: Socioeconomic Determinants, Proximate Determinants, High Fertility, Timor-Lest