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The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces : insights from an empirical spatial Durbin model
Qin, Xionghe; Wang, Xueli; Kwan, Mei-Po - In: Technological forecasting & social change : an … 193 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014474459
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Panel Forecasts of Country-Level Covid-19 Infections
Liu, Laura - 2020
We use dynamic panel data models to generate density forecasts for daily Covid-19 infections for a panel of countries/regions. At the core of our model is a specification that assumes that the growth rate of active infections can be represented by autoregressive fluctuations around a downward...
Persistent link: https://www.econbiz.de/10012833111
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Does China's carbon regulatory policy improve total factor carbon efficiency? : a fixed-effect panel stochastic frontier analysis
Tan, Xiujie; Choi, Yongrok; Wang, Banban; Huang, Xiaoqi - In: Technological forecasting & social change : an … 160 (2020), pp. 1-9
Persistent link: https://www.econbiz.de/10012523063
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Misallocation, Selection and Productivity : A Quantitative Analysis with Panel Data from China
Adamopoulos, Tasso - 2017
We use household-level panel data from China and a quantitative framework to document the ex- tent and consequences of … to land institutions in rural China that disproportionately constrain the more productive farmers. These frictions reduce … aggregate agricultural productivity in China by affecting two key margins: (1) the allocation of resources across farmers …
Persistent link: https://www.econbiz.de/10012965435
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The Labor Supply Consequences of Having a Boy in China
Wang, Shing-Yi B. - 2019
Combining eight years of panel data with an event study approach, we show that rural Chinese women's labor supply falls for one year following the birth of a daughter before returning to their pre-birth levels. The negative impact of the birth of a son on women's labor supply is much larger in...
Persistent link: https://www.econbiz.de/10012864140
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What motivates Chinese multinational firms to invest in Asia? : poor institutions versus rich infrastructures of a host country
Chen, Hong; Gangopadhyay, Partha; Singh, Baljeet; Chen, … - In: Technological forecasting & social change : an … 189 (2023), pp. 1-20
Persistent link: https://www.econbiz.de/10014265823
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Impacts of ride and car-sharing associated with fully autonomous cars on global energy consumptions and carbon dioxide emissions
Akimoto, Keigo; Sano, Fuminori; Oda, Junichiro - In: Technological forecasting & social change : an … 174 (2022), pp. 1-13
Persistent link: https://www.econbiz.de/10013206126
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Bounding US electricity demand in 2050
Schweizer, Vanessa J.; Morgan, M. Granger - In: Technological forecasting & social change : an … 105 (2016), pp. 215-223
Persistent link: https://www.econbiz.de/10011609926
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Why did the historical energy forecasting succeed or fail? : a case study on IEA's projection
Liao, Hua; Cai, Jia-Wei; Yang, Dong-Wei; Wei, Yi-Ming - In: Technological forecasting & social change : an … 107 (2016), pp. 90-96
Persistent link: https://www.econbiz.de/10011610483
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Forecasting unemployment with internet search data : does it help to improve predictions when job destruction is skyrocketing?
Vicente, María Rosalia; López, Ana Jesús; Pérez, … - In: Technological forecasting & social change : an … 92 (2015), pp. 132-139
Persistent link: https://www.econbiz.de/10011389608