Rise And Fall Of Cities, Measuring Spatial Clustering And Economies Of Urban Agglomeration In West Java

With others neighboring Provinces in the western part of Java, the West Java Province shares the southeast Asian most densely urban area (Bodebek as part of Jabodetabek and Greater Bandung). This research tries to identify the spatial clustering of urban economies activities using employment data from Economic Census of 2006 as proxy for urban agglomeration. Using the identification result, we then estimate aggregate production function of the urban agglomeration area to calculate it’s economies of agglomeration. From the result we found that both Bodebek and Greater Bandung metropolitan area are both have been reach the stage of saturation in their economic activity. Meanwhile, the alternative definition of Bodebek shows the stage of slight increasing return to scale, indicate the economies are trying to expand to regain the economies of scale that has been saturated in origin area.Sub National Data, Indonesia

The Spatial Dimension of Human Development Index in Indonesia

As the new paradigm of economic development pioneered by UNDP and Mahbub Ul-Haq undertaken, development processes no longer viewed as monodimensional process of economic growth indicated by GDP growth solely. Human Development Index on the other side offer an indicator that takes into account other aspecta as proxies of life quality such as life expectancy and literacy rate wrapped as a composite index. Several previous researches has try to explain the determinant of HDI, but as HDI was start to calculated at sub national level, the complexity of the task to explain the determinants was escalating due the fact that sub national data has geographical information attached in it. This paper tries to explain the spatial pattern on HDI achievement at sub national level in Indonesia, and estimate the determinants of HDI using spatial econometrics method. The use of the tools based on the necessity to put into account spatial dependence as special form of cross-sectional serial correlation, which is a common situation in observations that has geographical information.Human Development Index, Spatial Econometrics, Sub National Data

Poverty as Child Labor Internal Migration’s Determinant

Migration is an unavoidable problem for economic development in third world countries. Indonesia is an archipelagic country with high viscosity of its population’s internal migration. Over flooding wave of internal migration from periphery region to the core of growth poles increases the spatial disparities between regions. Not only for the labor force at their productive age, empirical evidences revealed the fact that the wave also involved children to work as a child labor. This research tries to estimate how does poverty in periphery determines the wave of migration toward urban agglomeration region as their core. Using data from the Indonesian Census 2000 for Java Island, global spatial effect and local statistics was estimated by spatial econometrics method.Child Labor, Internal Migration, Spatial Econometrics

POVERTY AS CHILD LABOR INTERNAL MIGRATION’S DETERMINANT

Migration is an unavoidable problem for economic development in third world countries. Indonesia is an archipelagic country with high viscosity population internalmigration. Over flooding wave of internal migration from periphery region to the core of growth poles increases the spatial disparities between regions. Not only for the labor force at their productive age, empirical evidences revealed the fact that the wave also involved children to work as child labor. This research tries to estimate how poverty in periphery determines the wave of migration toward urban agglomeration region at their core. Using data from the Indonesian Census 2000 for Java Island, global spatial effect and local statistics was estimated by spatial econometrics method.Keywords: Child Labor, Internal Migration, Spatial Econometrics, urban agglomeratio

Constructing the Index of Indonesian Monthly Private Consumption Expenditure

Private consumption expenditure (PCE) contributes a major share in Indonesian GDP and its growth has been dominating the economic growth. PCE is also linked directly to the welfare of Indonesian people making it even more relevant for its close monitoring. However, despite the high volatility of macroeconomic conditions due to both global and domestic disturbances, indicators that measure PCE in frequency higher than quarterly is not yet existent in Indonesia. This paper is the first attempt to construct a monthly index of private consumption expenditure for Indonesia. Using a methodology based on the experience of other countries and constrained with data availability, we devise the index based on four statistically relevant variables: value added tax revenue, excise tax revenue, electricity consumption, and fuel consumption. Using the weights estimated based on the principal component analysis we found that our monthly PCE index fits well and correlate highly with the quarterly private consumption expenditure from the national accounts data. We hope that our initial attempt to construct the monthly PCE index will encourage others to devise even better measure of monthly consumption indicators.Private consumption expenditure, Macroeconomic Policies, Indonesia

Poverty as Child Labor Internal Migration's Determinant

Migration is an unavoidable problem for economic development in third world countries. Indonesia is an archipelagic country with high viscosity population internalmigration. Over flooding wave of internal migration from periphery region to the core of growth poles increases the spatial disparities between regions. Not only for the labor force at their productive age, empirical evidences revealed the fact that the wave also involved children to work as child labor. This research tries to estimate how poverty in periphery determines the wave of migration toward urban agglomeration region at their core. Using data from the Indonesian Census 2000 for Java Island, global spatial effect and local statistics was estimated by spatial econometrics method