Research outcomes
Peer-reviewed articles and books from the QuaRCS Network — advancing interdisciplinary science for economic, social, and environmental sustainability through spatial econometrics, machine learning, remote sensing, and regional development. Search, filter by topic or journal, and explore the record year by year.
We examine how output growth translates into unemployment changes across Indonesian districts from 2011 to 2020. Using a data-driven approach instead of predetermined geographic groupings, we identify districts sharing …
This paper combines satellite nighttime-lights data with electricity-meter records to estimate spatio-temporal electricity consumption across Bolivian municipalities, providing a high-resolution proxy for local economic …
This paper measures inter-provincial inequality in Egypt from 1992 to 2022 using Gini and Theil indices, tests the Williamson-Kuznets hypothesis alongside sigma, beta, and club convergence, and examines the causal …
This study examines adult obesity prevalence across 2,446 Mexican municipalities using Multiscale Geographically Weighted Regression (MGWR) together with GIS, satellite, and socioeconomic predictors. It finds significant …
This study examined the effect of cross-district minimum wage differentials on workers' commuting probabilities in the pre-pandemic era of the Greater Jakarta Metropolitan Area (Jabodetabek). We found that minimum wages …
This paper examines the spatial linkage between financial inclusion, economic performance, and economic resilience across 42 districts of Papua Island, integrating remote-sensing (nighttime lights) data with official …
This open-access book offers an R-based introduction to modern causal-inference methods for evaluating the impact of regional policies. It is organized around case studies—including California’s 1989 cigarette tax …
This book and its related website introduce a modern approach to econometrics education that integrates theoretical foundations with cloud-based computation and AI-enhanced learning tools. Designed as a computational …
This paper applies an unconditional quantile regression (RIF) decomposition to Indonesia’s gender expenditure gap, finding that differences in endowments help narrow the gap while differences in returns …
This paper introduces a two-step machine-learning method to produce daily and weekly inflation forecasts in developing economies where official CPI is monthly and delayed. A regularized (Ridge/L1) model outperforms …
This paper identifies convergence clubs in innovation activity across US states and uses an ordered regression model to explain club membership, drawing on measures of human capital (college completion for education …
Using a novel panel of 1,742 Japanese municipalities (2001-2020), this paper studies how the 2011 Fukushima incident triggered the spatial spread of energy transitions from nuclear to wind power, combining …
Cambodia has grown rapidly yet remains economically vulnerable, with persistent poverty and limited, outdated subnational data. This study combines big-data sources, machine learning, and the Cambodia Socio-Economic …
Using a dynamic panel threshold approach across Chinese provinces, this study finds that institutional improvements are harmful to growth at very low levels of institutional quality up to a first critical threshold, …
Using World Values Survey data, this paper builds an indicator of racist behaviors that is significantly and negatively associated with cross-country economic growth, robust to geographic, institutional, and economic …
This paper applies a Dynamic Spatial Durbin Model to a novel panel of 34 Indonesian provinces (2018-2022) to identify the determinants and spatial spillovers of green-finance development.
This research evaluates the robustness of the regional Kuznets curve using Bayesian averaging methods for panel data. Simulation results indicate the method successfully identifies variables in the underlying data …
This paper estimates the economic value of ecosystem services from Bolivia’s natural areas—around US$3.4 billion per year locally and up to roughly US$29 billion including global carbon and biodiversity …
This paper maps the spatial distribution and clustering of non-communicable-disease (NCD) mortality and healthcare professionals across Thailand’s 77 provinces over a ten-year period and uses spatial econometric …
Using high-quality nighttime light data as a proxy for economic activity, this paper examines regional income and spatial inequality across prefectural cities and counties in the People’s Republic of China from …
Using high-resolution MapBiomas land-cover maps and biomass density data, this paper quantifies Bolivia’s annual greenhouse-gas emissions from deforestation and fires between 2010 and 2023, which frequently exceed …
This study extends prior work by Ingram and Marchesini da Costa examining the territorially uneven effects of political and socioeconomic factors on violence in Brazil. Using multiscale geographically weighted regression …
Official subnational Gross Domestic Product (GDP) data in Vietnam has been available only since 2010, hindering the analysis of long-term dynamics of local development. Based on remote sensing data and machine learning …
This paper uses a bi-dimensional inequality decomposition to analyze the persistence of regional income inequalities across Kenya during the COVID-19 pandemic, disentangling the regional and group components of …
This entry in The Encyclopedia of Human Geography (Springer) surveys the role and use of models—including spatial and quantitative modeling—in human geography.
This article examines the relationship between income and luminosity across Chinese provinces over the period 2000–2020 using newly harmonized night-time lights (NTL) data. We find that NTL luminosity is suitable for …
This paper examines whether the COVID-19 recession in Indonesia hit men (“mancession”) or women (“shecession”) harder, analyzing gendered employment and economic disparities during the pandemic.
This paper investigates the spatial distribution of two nutritional indicators—obesity prevalence in women and chronic malnutrition in children—across the municipalities of Bolivia, identifying spatial clusters and …
This paper examines regional human capital convergence across Türkiye’s 81 provinces over 2008-2022 using exploratory space-time data analysis (ESTDA). It finds an overall process of regional human capital …
This paper proposes a GDP nowcasting strategy for Bolivia that combines machine learning with traditional indicators and satellite imagery (nighttime lights, built-up area, and vegetation and precipitation measures for …
Using district-level nightlight and digitalization data for 2019-2022 with Geographically Weighted Regression, this paper shows that digital finance, financial technology, and digital literacy have positive but spatially …
This paper applies an exploratory space-time approach to investigate the spatial links between regional decline and structural change in Northeast China across three periods (1995-2002, 2002-2015, 2015-2019), identifying …
Nighttime lights (NTL) data are increasingly used as a proxy for monitoring national, subnational, and supranational economic activity. These data offer advantages over traditional economic indicators such as GDP, …
This study investigates whether improved nighttime light data can forecast economic output by sector within regions. Analyzing 81 Turkish provinces from 2004 to 2020, we found that urban NTL data is most strongly …
This paper examines Indonesian inflation dynamics with a Phillips-curve specification using province-level data (2015-2019), accounting for regional interactions and estimating spatial spillovers. It introduces two novel …
The expansion and penetration of digital financial inclusion have provided new impetus to economic development. With the aim of investigating the non-spatial and spatial effects of digital financial inclusion on urban …
We analyze the space-time dynamics of Indonesia’s provincial unemployment by simultaneously accounting for their serial persistence, spatial dependence, and common factors. The results show that unemployment rates vary …
This paper investigates the regional Okun’s law across 514 districts of Indonesia over the 2011–2020 period. To handle the endogeneity issue, we apply a two-stage least squares (2SLS) model and use regional temperature …
This article studies regional income convergence and its conditioning factors in 267 subnational regions of the European Union during the 2003–2016 period. Building on previous research that documents the formation of …
This article reviews the book by Akita and Kataoka (Regional inequality and development: Measurement and applications in Indonesia, 2022). The book first provides an overview of various measurement methods of regional …
Uneven regional development has become an issue in China since the Open and Reform Policy in the 1980s. The imbalance can be observed as the “coastal-west divide” in previous convergence studies. This paper aims to …
This paper investigates the human capital convergence dynamics within China over the period 1985–2018 using a nonlinear dynamic factor model. Our results indicate that there exist multiple human capital clubs, and the …
While institutions are said to be poor in China in cross-country comparison, recent research indicates that at the provincial level, institutional quality plays in fact an important role for the economic success of a …
This study revisits the Phillips curve for Indonesia using regional data, exploiting cross-province variation in inflation and economic slack to re-examine the inflation–unemployment trade-off. The regional perspective …
This study examines whether participation in global value chains (GVCs) promotes industrial upgrading in developing countries, using panel data analysis across a sample of developing economies. The results provide new …
This paper studies regional income convergence and its conditioning factors across 81 provinces of Turkey over the 2007–2019 period. Through the lens of a nonlinear dynamic factor model, we first test the hypothesis that …
Convergence in human capital is a key precondition to achieve income convergence in the European Union; however, so far research on this topic has nearly been absent. Our paper contributes to the literature by …
This paper evaluates social and economic convergence across 514 districts in Indonesia over the 2010-2018 period. By applying spatial panel-data methods, this paper re-examines the regional convergence hypothesis using a …
This article studies the evolution of per-capita income disparities and spatial dependence across 77 provinces of Thailand over the period 1995–2017. Results show that – on average – regional income disparities are …
This paper studies the evolution of economic and social disparities across South America. By exploiting a novel multi-country subnational dataset, we evaluate the evolution of gross national income per capita (GNI) and …
This study tests for convergence clubs in real wages across Indonesian provinces over the 2008–2020 period using the log t regression approach. Rather than a single national trend, the results identify multiple …
This study analyzes the spatiotemporal dynamics of regional inflation across Indonesian regions, characterizing how inflation co-moves over space and time and quantifying the role of spatial dependence and common …
We analyze how regional economic structures affect the impact of monetary policy on rates of inflation across 34 Indonesian provinces. The paper first applies a structural factor-augmented vector autoregressive model …
We study sectoral productivity convergence through the input-output structure of the economy and its network representation. In particular, we study 106 production sectors in Japan over the 2003-2012 period and identify …
Homicide rates are forecasted for 1120 inland municipalities in Colombia. Using data from 2003 to 2018, five different forecasting methods are used: ETS, ARIMA, STAR, a classical beta convergence based model and a …
The discussion on regional income per capita convergence in Indonesia continues with an emphasis on whether regional per capita incomes tend to converge or diverge over the long run. This study evaluates the regional …
This chapter examines regional economic growth convergence and spatial growth spillovers across Indonesian provinces in the context of the COVID-19 pandemic. It appears as a chapter in Regional Perspectives of Covid-19 …
Using a novel municipal-level dataset and spatial clustering methods, this article studies the distribution of human capital constraints across 339 municipalities in Bolivia. In particular, the spatial distribution of …
Using a novel dataset constructed for this study, the spatio temporal dynamics of income per capita across 34 provinces and 514 districts in Indonesia over the 2010-2017 period are analyzed. First, an exploratory spatial …
This paper aims to re-examine the regional convergence hypothesis on income in Indonesia over the 2000-2017 period. By applying a non-linear dynamic factor model, this paper tests the club convergence hypothesis using a …
Testing for economic convergence across countries has been a central issue in the literature of economic growth and development. This book introduces a modern framework to study the cross-country convergence dynamics of …
This paper aims to identify convergence clubs in regional price across 34 provinces in Indonesia and investigate conditioning factors of club formation. We analyze regional monthly consumer price data from January 2012 …
This paper studies regional convergence and spatial dependence of homicides and personal injuries in Colombia. In particular, through the lens of both classical and distributional convergence frameworks, two spatial …
This study re-examines regional price convergence across 82 cities in Indonesia. We implement club convergence analysis developed by Phillips and Sul (2007, 2009) on monthly aggregate consumer price data and its …
This paper studies the evolution of regional disparities in labor productivity, capital accumulation, and efficiency across Indonesian provinces over the 1990-2010 period. Through the lens of a non-linear dynamic factor …
Industrial policy boosts economic growth through targeted interventions that affect the allocation of skilled labor, output composition, and industrial productivity growth. A commonly omitted consequence of these changes …
Satellite nighttime light data are increasingly used for evaluating the performance of economies in which official statics are non-existent, limited, or non-comparable. In this paper, we use a novel luminosity-based …
This article studies the proximate sources of labor productivity differences across countries. Using a panel dataset for 74 countries covering the 1960-2010 period, it first documents that, relative to the US, labor …
Improving production efficiency at the regional level is often considered a means to reduce regional inequality. This article studies regional efficiency convergence across provinces in Indonesia over the 1990–2010 …
The cross-country convergence hypothesis is one of the central topics of long-run macroeconomics. This paper revisits this hypothesis in a context beyond GDP. It uses a novel welfare index that incorporates measures of …
Since the early 1990s, there have been larger and increasing labor productivity differences across industries in Japan. More specifically, a clear pattern of sigma and beta divergence across industries is observed. To …
This article compares the distribution dynamics of two commonly used TFP estimation frameworks: the control function approach of Levinsohn and Petrin (2003) (LP for short) and the corrected control function approach of …
Almost half of the population of Bolivia currently lives in the metropolitan regions of La Paz, Santa Cruz, and Cochabamba. Motivated by the potential for growth and development of these regions, this article documents …
Bolivia has suffered from a series of investment constraints and negative productivity cycles in the last half-century. In this context, this article first presents suggestive empirical evidence that physical capital …
Bolivia has experienced large socioeconomic transformations in the last decades. Among them, almost half of the population currently lives in the main metropolitan regions of the country. Motivated by the potential for …
Bolivia has experienced high economic growth rates in the last decade and a half. This fast growth, however, varies largely across its administrative regions. Considering this heterogeneous-growth context, this article …
The post-World War II period has seen substantial changes in labor productivity around the world. Motivated by these changes, this article documents four stylized facts about the world productivity distribution. First, …
This chapter first evaluates the proximate and deeper determinants of the socioeconomic performance of Latin America over the long run. Then, it points to four policy areas where progress is still needed. At a proximate …
Why are some countries much more prosperous than others? This book argues that differences in average labor productivity, patterns of structural change, and labor misallocation across sectors explain most of the observed …
Both long economic stagnation in Latin America and sustained growth in East Asia imply a rapidly rising development gap between the two regions. Using a series of numerical decompositions, this article documents three …
