Discussion on a big data information processing model: Taking the fiscal quality evaluation of the Pearl River Delta as an example

Under the background of vigorously promoting the high-quality economic development model in China, this paper proposes a Dynamic Double Index model to evaluate the fiscal output quality of cities in the Pearl River Delta. The empirical results show that Shenzhen, Guangzhou are at a high quality level, while Zhuhai, Foshan, Huizhou, Zhongshan and Dongguan are at a low quality level. This empirical result is consistent with the fact that Shenzhen has industrial tax source advantages, Guangzhou has consumption tax source advantages, but Zhuhai, Foshan, Huizhou Zhongshan and Dongguan do not have advantages. At the same time, the consistency also proves that the Dynamic Double Index model has accurate measurement function and can be used as a powerful tool to deal with big data information problems.

The Effects of Topography and Urban Agglomeration on the Sea Breeze Evolution over the Pearl River Delta Region

Sea breezes are one of the most important weather processes affecting the environmental and climatic features over coastal areas, and the sea breeze from the Pearl River Estuary (PRE) has significant effects on the Pearl River Delta (PRD) region. We simulated a typical sea breeze process that occurred on 27 December 2020 in the PRD region using the Weather Research and Forecasting (WRF) model to quantify the effects of topography and city clusters on the development of the sea breeze circulation. The results show that: (1) the topography on the west coast of the PRD tends to block the intrusion of the sea breeze and detour it along the eastern part of the terrain in the southeast of Jiangmen. The depth of sea breeze along the position of the detour is increased by 120 m, the penetration distance is increased by 40 km, the maximum intensity of sea breeze decreases by ~0.4 m/s, and the time of maximum speed delays for 4 h. However, on the east coast, the topography promotes the sea breeze, resulting in an occurrence about 4 h earlier due to the heating effects. The depth and the speed of the sea breeze are increased by 466 m and 1.2 m/s, respectively. (2) Under the influence of Urban Heat Island Circulation (UHIC), the sea breezes reach cities near the coast an hour earlier and are later inhibited from propagating further inland. Moreover, a wind convergence zone with a speed of 3–5 m/s and a width of about 25 km is formed along the boundary of suburbs and cities in the PRD region. As a result, two important convergence areas: Foshan–Guangzhou, and Dongguan–Shenzhen are formed. (3) Overall, the topography has a more remarkable impact on the mesoscale wind field especially in the mountain and bay areas, resulting in an average speed disturbance of 2.8 m/s. The urban heat island effect is relatively small and on average it causes only ± 0.9–1.8 m/s wind speed perturbations in the periphery of two convergence areas and over PRE.

Household Registration, Land Property Rights, and Differences in Migrants’ Settlement Intentions—A Regression Analysis in the Pearl River Delta

Objectives: Few studies have examined the impacts of structural differences in the urban–rural dichotomy under the new household registration policy on migration and settlement behavior. Nevertheless, the rationale for the settlement policy of local governments should be further elucidated and improved. This study aims to analyze the household registration, land property rights, and differences in migrants’ settlement intentions. Methods: This study used migration survey data from the Pearl River Delta and probit regression to fill this gap in the literature. Findings: Because of the long-term effects of the household registration system and their socioeconomic differences, urban-urban migrants and rural–urban migrants differed in their settlement intentions. Furthermore, the new points-based household registration system affected migrants’ settlement intentions. Relative to the rural–urban migrants, urban–urban migrants more easily met the settlement requirements under the points-based system, and they tended to settle in their current cities. By contrast, migrants with farmland in their hometowns tended to settle there. The findings underscore the relevance of adopting perspectives that consider the urban–rural dichotomy and related structural differences to understand migrants’ settlement intentions in China.