With the implementation of the CPC s eight-point regulation as a natural experiment platform, this paper seeks to unravel the causality between rent-seeking and firm peiformance for SOEs and private firms respectively...With the implementation of the CPC s eight-point regulation as a natural experiment platform, this paper seeks to unravel the causality between rent-seeking and firm peiformance for SOEs and private firms respectively. Our empirical research has found that after the release of the "eight-point regulation", investors responded negatively to private firms and positively to SOEs. Such market response is more significant for firms with a high degree of rent-seeking. Further research has found that rent-seeking helps both SOEs and private firms receive more subsidies from the government. While government subsidy from rent-seeking is conducive to the peiformance of private firms, it is not the case for SOEs. This implies that rent-seeking activities serve as a "lubricant" for private firms but have a "stumbling block" effect for SOEs.展开更多
The housing crisis in Ireland has rapidly grown in recent years. To make a more significant profit, many landlords are no longer renting out their houses under long-term tenancies but under short-term tenancies. Regul...The housing crisis in Ireland has rapidly grown in recent years. To make a more significant profit, many landlords are no longer renting out their houses under long-term tenancies but under short-term tenancies. Regulating rentals in Rent Pressure Zones with the highest and rising rents is becoming a tricky issue. In this paper, we develop a breach identifier to check short-term rentals located in Rent Pressure Zones with potential breaches only using publicly available data from Airbnb (an online marketplace focused on short-term home-stays) and Irish government websites. First, we use a Residual Neural Network to filter out outdoor landscape photos that negatively impact identifying whether an owner has multiple rentals in a Rent Pressure Zone. Second, a Siamese Neural Network is used to compare the similarity of indoor photos to determine if multiple rental posts correspond to the same residence. Next, we use the Haversine algorithm to locate short-term rentals within a circle centered on the coordinate of a permit. Short-term rentals with a permit will not be restricted. Finally, we improve the occupancy estimation model combined with sentiment analysis, which may provide higher accuracy.展开更多
基金"A Study on the Rent-seeking,Political Capital Burst and Economic Consequences of Private Enterprises,Based on the Perspective of Officials Arrest"(Grant No.71702178),National Natural Sciences Foundation"Anti-Corruption,Reconstruction of the Relationship Between Government and Enterprises Social Capital Investment:An Integrated Research Based on Social Relation Network Theory"(Grant No.17YJC790005),MOE Project of Humanities and Social Sciences Foundation
文摘With the implementation of the CPC s eight-point regulation as a natural experiment platform, this paper seeks to unravel the causality between rent-seeking and firm peiformance for SOEs and private firms respectively. Our empirical research has found that after the release of the "eight-point regulation", investors responded negatively to private firms and positively to SOEs. Such market response is more significant for firms with a high degree of rent-seeking. Further research has found that rent-seeking helps both SOEs and private firms receive more subsidies from the government. While government subsidy from rent-seeking is conducive to the peiformance of private firms, it is not the case for SOEs. This implies that rent-seeking activities serve as a "lubricant" for private firms but have a "stumbling block" effect for SOEs.
文摘The housing crisis in Ireland has rapidly grown in recent years. To make a more significant profit, many landlords are no longer renting out their houses under long-term tenancies but under short-term tenancies. Regulating rentals in Rent Pressure Zones with the highest and rising rents is becoming a tricky issue. In this paper, we develop a breach identifier to check short-term rentals located in Rent Pressure Zones with potential breaches only using publicly available data from Airbnb (an online marketplace focused on short-term home-stays) and Irish government websites. First, we use a Residual Neural Network to filter out outdoor landscape photos that negatively impact identifying whether an owner has multiple rentals in a Rent Pressure Zone. Second, a Siamese Neural Network is used to compare the similarity of indoor photos to determine if multiple rental posts correspond to the same residence. Next, we use the Haversine algorithm to locate short-term rentals within a circle centered on the coordinate of a permit. Short-term rentals with a permit will not be restricted. Finally, we improve the occupancy estimation model combined with sentiment analysis, which may provide higher accuracy.
