Results 51 to 60 of about 15,517,147 (241)
A Study of AI-Driven Knowledge Distillation for Efficient Geospatial Modeling
Applied Artificial IntelligenceClassical spatial econometric models excel in interpreting spatial autocorrelation but struggle with scalability on resource-limited platforms. In contrast, deep neural networks offer high predictive accuracy yet demand significant computational ...
Shianghau Wu
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Interregional Effects of Innovations in Russia: Analysis from the Bayesian Perspective [PDF]
Пространственная экономикаThis study analyzes the interregional effects of innovation in Russia. The hypothesis of the presence of interregional effects is tested by combining the methods of spatial econometrics and Bayesian approach.
Dmitrii Sergeevich Tereshchenko
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Economies, 2022 In order to allocate resources and formulate policies effectively, governments and enterprises often need accurate geographical information on profit-seeking enterprises.
Hao-Chen Huang +3 more
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Spatial Durbin Model to Identify Influential Factors of Diarrhea [PDF]
Journal of Mathematics and Statistics, 2012 Problem statement: An analysis of regression modeling which influenced by the characteristics of the region is very important. Th at modeling is the spatial autoregressive model. On e type of spatial autoregressive model is a Spatial D urbin Model (SDM), which performs a lag effect of the dependent and independent variables.
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Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
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Agribusiness, EarlyView.ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis
Agribusiness, EarlyView.ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang +3 more
wiley +1 more source
The Determinant of Regional Unemployment in Indonesia: The Spatial Durbin Models
Signifikan: Jurnal Ilmu Ekonomi, 2019 Unemployment is a problem that occurs in many countries and often gets special attention both from policymakers and academics. This fact is because if not addressed, it will cause socio-economic problems in the country. Therefore it is necessary to formulate the causes of unemployment by involving spatial aspects to avoid biased and inefficient ...
Eka Khaerandy Oktafianto +2 more
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Durbin-Watson statistic for detection of autocorrelation.
, 2021 Durbin-Watson statistic for detection of autocorrelation.
Md. Abdur Rouf Sarkar (11824610) +8 more
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Agribusiness, EarlyView.ABSTRACT This paper examines how mandatory disclosure of added sugar content on the updated U.S. Nutrition Facts Panel (NFP) affects consumer demand and market outcomes. Using NielsenIQ Retail Scanner Data (2015–2020) and a random coefficient discrete choice model, we estimate how added sugar labeling influences purchasing behavior in yogurt and cookie
Yuxiang Zhang, Yizao Liu
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