The rapid growth of local SOEs in China largely depends on high leverage, thus local governments and their SOEs will face harder budget constraints when the central bank implements tight credit policies. Using a sample of listed local SOEs in the Chinese A-share market, this paper attempts to...

By employing machine learning techniques and the Word2Vec model, we quantify the micro-level implementation of Industrial Internet technology in Chinese manufacturing firms from 2010 to 2022. This provides empirical evidence for understanding how the Industrial Internet technology enhances...

The deep integration of digital technology with the real economy has reconstructed production systems. We explore the impact of digital technology on the resource allocation behavior and efficiency of manufacturing enterprises. Using a sample of Chinese A-share listed manufacturing firms over...

This paper studies socially responsible lending (SRL) by examining a unique sample of Chinese commercial banks. We define SRL as loans that are issued to promote social welfare, preserve the environment, develop agriculture, or support small business. We find that state-controlled banks issue...

Energy management strategy plays a vital role in the energy efficiency of the extended range electric vehicle. The reinforcement learning-based control strategy can be adopted as online control without being subjected to the pre-known environment information . In this study, a novel auxiliary...

This paper examines the cost and profit efficiency of four types of Chinese commercial banks over the period from 2002 to 2013. We find that the cost and profit efficiencies improved across all types of Chinese domestic banks in general and the banks are more profit-efficient than cost...

Airline data have shown that the fraction of customers who choose the cheapest available fare class often is much greater than that predicted by the multinomial logit (MNL) choice model calibrated with the data. For example, the fraction of customers who choose the cheapest available fare class...

We consider a price-based network revenue management problem where a retailer aims to maximize revenue from multiple products with limited inventory over a finite selling season. As common in practice, we assume the demand function contains unknown parameters, which must be learned from sales...

In a dynamic pricing problem where the demand function is not known a priori, price experimentation can be used as a demand learning tool. Existing literature usually assumes no constraint on price changes, but in practice sellers often face business constraints that prevent them from conducting...