Instrumental variable estimation of a spatial dynamic panel model with endogenous spatial weights whenTis small

2016 ◽  
Vol 19 (3) ◽  
pp. 261-290 ◽  
Author(s):  
Xi Qu ◽  
Xiaoliang Wang ◽  
Lung‐fei Lee
Keyword(s):  
Instrumental Variable ◽  
Spatial Dynamic ◽  
Dynamic Panel ◽  
Dynamic Panel Model ◽  
Instrumental Variable Estimation ◽  
Spatial Weights ◽  
Panel Model ◽  
Spatial Dynamic Panel

scholarly journals Ecological Livability Assessment of Urban Agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area

2021 ◽  
Vol 18 (24) ◽  
pp. 13349
Author(s):  
Zengzeng Fan ◽  
Yuanyang Wang ◽  
Yanchao Feng
Keyword(s):  
Hong Kong ◽  
Three Dimensional ◽  
Evaluation Framework ◽  
Spatial Dynamic ◽  
Dynamic Panel ◽  
Dynamic Panel Model ◽  
The Third ◽  
Bay Area ◽  
Panel Model ◽  
Second Tier

This paper proposes the “citizen-ecology-city” evaluation framework for urban ecological livability theoretically and studies the ecological livability of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) empirically. In addition, we analyze the factors of urban ecological livability in a spatial dynamic panel model. The results are as follows. (1) Ecological livability levels of Macao and Hong Kong are significantly higher than the nine cities in the PRD; (2) Shenzhen and Guangzhou lead the nine cities in the PRD, while Jiangmen and Zhaoqing perform poorly; (3) GBA cities can be divided into three categories: Macao, Hong Kong, Shenzhen, and Guangzhou in the first tier; Zhuhai, Foshan, and Dongguan in the second tier; Huizhou, Zhongshan, Jiangmen, and Zhaoqing in the third tier; and (4) The ecological livability of the GBA cities has a characteristic of spatial correlation. In terms of the international value, the three-dimensional evaluation framework can apply to other bay areas in the world.

scholarly journals Regional differences in the capitalisation of first and second pillar payments of the CAP into land rental prices

2020 ◽  
Author(s):  
Klaus Salhofer ◽  
Paul Feichtinger
Keyword(s):  
Agricultural Policy ◽  
Regional Differences ◽  
Dynamic Panel ◽  
Accounting Data ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Land Rental ◽  
Part Time ◽  
High Yields ◽  
Large Farms

Abstract Nearly 80 per cent of Common Agricultural Policy (CAP) expenditures are spent on three different measures: first pillar payments (FPPs), agri-environmental payments (AEPs) and less favoured area payments (LFAPs). Based on a dynamic panel model and farm accounting data for Bavaria, we find that, on average, 30 per cent of FPPs, 40–50 per cent of LFAPs, but no relevant share of AEPs are capitalised into land rental prices. The capitalisation ratio varies considerably across regions. Above average capitalisation ratios for FPPs are observed in more favourable areas with high yields, a low grassland share and large farms. The same is true for LFAPs for areas with high yields, large farms and a greater share of part-time farmers.

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