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As COVID-19-related health indicators improve after restrictive measures were set in place in different parts of the world, governments are expected to guide how to ease interventions while minimizing the risk of resurgent outbrea...
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As COVID-19-related health indicators improve after restrictive measures were set in place in different parts of the world, governments are expected to guide how to ease interventions while minimizing the risk of resurgent outbreaks. Whereas epidemiologists track the progress of the disease using daily indicators to understand the pandemic better, economic activity indicators are usually available at a lower frequency and with considerable time lags. We propose and implement a timely trade-based regional economic activity indicator (EAI) that uses high-frequency traffic data to monitor daily sectoral economic activity in different sectors for the Brazilian State of Sao Paulo, a highly impacted region, overcoming the challenge of real-time assessment of the economy amid the COVID-19 outbreak. We then use this novel set of information combined with hospitalization rates to provide a first assessment of the Sao Paulo Plan, the COVID-19 exit strategy designed to gradually lifting interventions introduced to control the outbreak in the State. Available data show that, in its first 60 days, the phased strategy pursued in Sao Paulo has been effective in gradually reactivating economic activity while maintaining the adequate responsiveness of the healthcare system.
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Generalising the classical work of Atiyah and Hirzebruch on non-algebraic classes, recently Quick proved the existence of torsion non-algebraic elements in the Brown-Peterson tower. We construct non-torsion non-algebraic elements ...
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Generalising the classical work of Atiyah and Hirzebruch on non-algebraic classes, recently Quick proved the existence of torsion non-algebraic elements in the Brown-Peterson tower. We construct non-torsion non-algebraic elements in the Brown-Peterson tower for the prime number 2.
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For mass appraisal in real estate, the hedonic pricing method (HPM) tends to be most commonly used by academic researchers, while the comparable sales approach (CSA) is mostly preferred by professionals. This paper shows how CSA i...
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For mass appraisal in real estate, the hedonic pricing method (HPM) tends to be most commonly used by academic researchers, while the comparable sales approach (CSA) is mostly preferred by professionals. This paper shows how CSA is a constrained version of a spatial autoregressive model, which can be implemented by simple matrix calculations. The CSA takes into account information on individual characteristics identifying similar complex goods, spatial proximity reflecting similar spatial amenities and temporal constraints by only selecting past sales. Using US transaction data from Lucas County, Ohio, we compare CSA to a-spatial HPM results and conduct an out-of-sample exercise to gauge the prediction performance of the two approaches. The findings suggest that CSA is a very useful tool for mass appraisal, especially when the number of independent variables available is limited.
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Imbalance of regional development trends is strongly correlated over time and across provinces, paralleled the growth of the economic quality and even influenced by exogenous variables. In this paper, a regional 'two-way' theory b...
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Imbalance of regional development trends is strongly correlated over time and across provinces, paralleled the growth of the economic quality and even influenced by exogenous variables. In this paper, a regional 'two-way' theory based on 'input and output' is proposed, reflecting the current state of economic quality development comprehensively. An 'inverse absolute dispersion method' came up with calculating the Quality of Economic Imbalance in Regional Development (QEIRD) after the measurement of economic quality is obtained by the total factor productivity (TFP). Moreover, the distribution of Chi-square is fitted to classify the grades of QEIRD, and the causes of QEIRD are analyzed via exogenous variables and regional decomposition under the panel data from China at the provincial level. The results indicate that the new method of measuring QEIRD based on TFP is scientific and reasonable in China at the country level. Secondly, the results obtained from the three regional decomposition ways are highly consistent, showing that the QEIRD from China has been diminishing, though not continuously and more so in some periods and regions, and being in a transition from stage three to stage two. Thirdly, the mainspring of total QEIRD is from the between-regions QEIRD; however, the rate of the within-region QEIRD is increasing cannot be neglected. In addition, exogenous variables have a crucial role in reducing QEIRD; it is a long-term and unremitting efforts to achieve stage one and move toward coordinated regional development in China.
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The changes of land use patterns and urban structures could be seen as the dynamic result of the trade off between public and private interests. Thereby the land use change is to some extent unpredictable. The focus in the current...
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The changes of land use patterns and urban structures could be seen as the dynamic result of the trade off between public and private interests. Thereby the land use change is to some extent unpredictable. The focus in the current study is to measure the importance of spatial location factors regarding new residential and commercial buildings in relation to existing urban amenities and political guidelines. The relative importance of the location factors was studied by multinomial regression analysis. Results from this study reveal that the location profiles of new urban object types attained here indicate strong correspondence with local political land use guidelines and to clustering. The spatial distribution of new urban settlements does not in general correspond to the monocentric urban scheme where firms and residents locate in spatial proximity to urban centres.
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The changes of land use patterns and urban structures could be seen as the dynamic result of the trade off between public and private interests. Thereby the land use change is to some extent unpredictable. The focus in the current...
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The changes of land use patterns and urban structures could be seen as the dynamic result of the trade off between public and private interests. Thereby the land use change is to some extent unpredictable. The focus in the current study is to measure the importance of spatial location factors regarding new residential and commercial buildings in relation to existing urban amenities and political guidelines. The relative importance of the location factors was studied by multinomial regression analysis. Results from this study reveal that the location profiles of new urban object types attained here indicate strong correspondence with local political land use guidelines and to clustering. The spatial distribution of new urban settlements does not in general correspond to the monocentric urban scheme where firms and residents locate in spatial proximity to urban centres.
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The present study develops a spatial unconditional quantile regression by extending Firpo et al.'s (Econometrica 77:953-973, 2009) unconditional quantile regression and empirically investigates the determinants of parking prices a...
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The present study develops a spatial unconditional quantile regression by extending Firpo et al.'s (Econometrica 77:953-973, 2009) unconditional quantile regression and empirically investigates the determinants of parking prices at different quantiles of prices in Japan. The empirical results suggest that spatial competition in terms of unit price and the unit time play important roles in determining parking prices. On the contrary, price is unaffected by demand, approximated by adopting several employment density variables and aggregated people flow data obtained from cell phones. Besides, significant differences exist among the factors that affect parking prices during the day and at night as well as among the unconditional quantiles.
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Most empirical research on the effects of the economic downturns has been a-spatial and overlooked the location choices of creative industries (CIs). The present study addresses an open debate on whether economic downturns have pu...
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Most empirical research on the effects of the economic downturns has been a-spatial and overlooked the location choices of creative industries (CIs). The present study addresses an open debate on whether economic downturns have pushed a change in the relative importance of resilience-based versus traditional CIs location factors. Considering the location choices of 6332 CIs Portuguese start-ups in the period 2005-2012, we found that: (1) the crisis brought changes in the relative importance of location factors, enhancing traditional CI location factors such as technology and diminishing the relevance of resilience-based factors related to regions industrial specialisation; (2) resilience-based factors, such as industrial diversity, higher education, cultural and social networking and traditional CI factors, namely lower social inequality and life quality, were robust drivers for the emergence of new start-ups all over the period; and (3) although cultural policy significantly and positively support the emergence of new CIs start-ups in the crisis period, the austerity period reversed that role. Our results suggest that the sustainable development of regions implies encompassing public stimulus to the generation of a diversified, interdependent network of creative activities, able to enhance innovation through their own synergies and linkages with the rest of the economy.
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Transportation investment plays a significant role in promoting economic development. However, in what scenario and to what extent transportation investment can stimulate economic growth still remains debatable. For developing cou...
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Transportation investment plays a significant role in promoting economic development. However, in what scenario and to what extent transportation investment can stimulate economic growth still remains debatable. For developing countries undergoing rapid urbanization, answering these questions is necessary for evaluating proposals and determining investment plans, especially considering the heterogeneity of spatiotemporal conditions. Current literature lacks systematical research to consider the impacts of panel data and spatial correlation issue in examining the economic effects of transportation investment. To fill this gap, this study collects provincial panel data in China from 1997 to 2015 to evaluate multi-level temporal and spatial effects of transportation investment on economic growth by using spatial panel data analysis. Results show that transportation investment leads to significant and positive effects on growth and spatial concentration of economic activities, but these results vary significantly depending on the temporal and spatial characteristics of each province. The economic impacts of transportation investment are quite positive even considering the time lag effects. This study suggests that both central and local governments should carefully evaluate the multifaceted economic effects of transportation investment, such as a balanced transportation investment and economic development between growing and lagging regions, and considering the spatiotemporal heterogeneity of the economic environment.
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