Does a Banking Crisis Reduce Foreign Direct Investment?

With as much importance as Foreign Direct Investment, an enormous amount of study on the factors which might hamper Foreign Direct Investment has been done with a lot of research. Also, the impact of a crisis on FDI has been especially appealing due to the recent economic depression. However, the literature about the linkage between one of the crises, a banking crisis and FDI is sparse even though a banking crisis is highly correlated with the overall economy\u27s damage. With data collected for 60 countries for the years 1990-2010, this paper examines the relationship between Foreign Direct Investment and a banking crisis in addition to the linkage between a banking crisis and domestic investment. The pooled ordinary least squares is used for the first empirical method. The lagged investment is done for robustness and the fixed effects is used to check a final robustness. The results indicate that banking crisis is highly correlated with domestic investment rate while the lagged value of banking crisis does not seem to have any significant impact. However, the results with fixed effects show that the lagged effect of banking crisis has a large impact on investment while the banking crisis variables turn out to be not correlated with investment. For FDI, both the banking crisis and the lagged value of banking crisis do not show any significance in all specifications. From a policy perspective, these results suggest that building up the strength of the banking sector is critical to protect domestic economies. Meanwhile it is not an important determinant to attract and host FDI

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

On-device machine learning (ML) enables the training process to exploit a massive amount of user-generated private data samples. To enjoy this benefit, inter-device communication overhead should be minimized. With this end, we propose federated distillation (FD), a distributed model training algorithm whose communication payload size is much smaller than a benchmark scheme, federated learning (FL), particularly when the model size is large. Moreover, user-generated data samples are likely to become non-IID across devices, which commonly degrades the performance compared to the case with an IID dataset. To cope with this, we propose federated augmentation (FAug), where each device collectively trains a generative model, and thereby augments its local data towards yielding an IID dataset. Empirical studies demonstrate that FD with FAug yields around 26x less communication overhead while achieving 95-98% test accuracy compared to FL.Comment: presented at the 32nd Conference on Neural Information Processing Systems (NIPS 2018), 2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2), Montr\'eal, Canad

Avian species survey with citizen-science data in Janghang Wetland, Goyang, Republic of Korea

Monitoring of avian populations in Janghang Wetland, Goyang, Republic of Korea (ROK) is based on citizen science (also called community-based monitoring). This monitoring data can be used to track avian density, population status and waterbird census at local, national and regional levels. The Ministry of Environment (MoE) ROK has surveyed since 1999, including Odusan Unification Tower to Ilsan Bride, which connects the cities of Gimpo and Goyang along the Han River estuary. However, it has not covered Janghang Wetland, which is located in the Han River estuary at the transboundary between the two Koreas. The Janghang Wetland is a protected wetland in the Demilitarized Zone (DMZ) between the two Koreas. In 2019, Janghang Wetland was designated as a Flyway Network Site by Goyang City and the East Asian-Australasian Flyway Partnership. This Network site is a voluntary collaboration and includes many internationally significant wetlands for waterbirds that still lack formal national protection. In addition, it was designated as a Ramsar site in 2021. The wetland currently supports wintering population of White-naped Crane (Grus vipio), species listed as vulnerable and Tundra Bean Goose (Anser cygnoides), spring-autumn migration population of Swan Goose (Anser cygnoid), species listed as vulnerable and a breeding population of Black-faced Spoonbill (Platalea minor), species listed as endangered in summer.We provide data that the Janghang Wetland is a significant area for migration and breeding for waterbirds; and that Han River estuary is also internationally important for waterbirds during the migratory bird season. We observed 14 orders, 42 families and 132 species. The surveys also observed the critically-endangered Black-faced Spoonbill (Platalea minor), Swan Goose (Anser cygnoides), White-naped Crane (Grus vipio), Whooper Swan (Cygnus cygnus) and Peregrine Falcon (Falco peregrinus). We also observed the Black-faced Spoonbill, Great Egret, Little Egret, Great Cormorant, Eastern Spot-billed Duck, Pheasant and Brown-eared Bulbul at the sensor camera point and White-naped Crane, Hooded Crane, Bean Goose, White-fronted Goose, Snow Goose, Swan Goose, Great Cormorant and Eastern Spot-billed Duck at the closed-circuit television camera point from the camera-trap surveys. Based on the species recorded, the survey area is of clear importance for biodiversity conservation