Industrial Robots and Jobs Turnover: Evidence from Chinese Firm Level Data

2018 ◽  
Author(s):  
Hao Ren ◽  
Shaojie Zhou ◽  
Angang Hu ◽  
Hong Cheng
Keyword(s):  
Industrial Robots ◽  
Firm Level ◽  
Chinese Firm ◽  
Level Data ◽  
Firm Level Data

scholarly journals The Rise of Robots in China

2019 ◽  
Vol 33 (2) ◽  
pp. 71-88 ◽  
Author(s):  
Hong Cheng ◽  
Ruixue Jia ◽  
Dandan Li ◽  
Hongbin Li
Keyword(s):  
Manufacturing Sector ◽  
Average Rate ◽  
Supply And Demand ◽  
Global Market ◽  
Industrial Robots ◽  
Firm Level ◽  
Employee Survey ◽  
Level Data ◽  
Firm Level Data ◽  
Aggregate Industry

China is the world’s largest user of industrial robots. In 2016, sales of industrial robots in China reached 87,000 units, accounting for around 30 percent of the global market. To put this number in perspective, robot sales in all of Europe and the Americas in 2016 reached 97,300 units (according to data from the International Federation of Robotics). Between 2005 and 2016, the operational stock of industrial robots in China increased at an annual average rate of 38 percent. In this paper, we describe the adoption of robots by China’s manufacturers using both aggregate industry-level and firm-level data, and we provide possible explanations from both the supply and demand sides for why robot use has risen so quickly in China. A key contribution of this paper is that we have collected some of the world’s first data on firms’ robot adoption behaviors with our China Employer-Employee Survey (CEES), which contains the first firm-level data that is representative of the entire Chinese manufacturing sector.

Industrial policy, energy and environment efficiency: Evidence from Chinese firm-level data

2020 ◽  
Vol 260 ◽  
pp. 110123 ◽  
Author(s):  
Yijun Zhang ◽  
Xiaoping Li ◽  
Feitao Jiang ◽  
Yi Song ◽  
Ming Xu
Keyword(s):  
Industrial Policy ◽  
Firm Level ◽  
Energy And Environment ◽  
Chinese Firm ◽  
Level Data ◽  
Firm Level Data

scholarly journals Economic Policy Uncertainty, Outward Foreign Direct Investments, and Green Total Factor Productivity: Evidence from Firm-Level Data in China

2021 ◽  
Vol 13 (4) ◽  
pp. 2339
Author(s):  
Yuegang Song ◽  
Feng Hao ◽  
Xiazhen Hao ◽  
Giray Gozgor
Keyword(s):  
Economic Policy ◽  
Total Factor Productivity ◽  
Industrial Development ◽  
Positive Impact ◽  
Western China ◽  
Factor Productivity ◽  
Firm Level ◽  
Chinese Firm ◽  
Level Data ◽  
Firm Level Data

This paper uses Chinese firm-level data to investigate the effect of China’s outward foreign direct investment (OFDI) on green total factor productivity (GTFP) under economic policy uncertainties (EPU). We found a significant positive impact of OFDI on GTFP. Moreover, an increase in EPU was shown to decrease GTFP. We also found that OFDI positively contributes to GTFP for private firms and foreign-invested firms in China. Technology-seeking OFDI contributes greater to GTFP than resource-seeking OFDI and market-seeking OFDI. These results remain robust when considering OFDI from firms in Central and East China as well as Western China. The findings are also robust with green labor productivity (GLP) substituting for GTFP using different econometric techniques. We also discuss potential implications in enhancing green innovation performance and sustainable industrial development in China.

scholarly journals Outward FDI and Domestic Input Distortions: Evidence from Chinese Firms

2019 ◽  
Vol 129 (624) ◽  
pp. 3025-3057 ◽  
Author(s):  
Cheng Chen ◽  
Wei Tian ◽  
Miaojie Yu
Keyword(s):  
Multinational Corporations ◽  
Empirical Support ◽  
Manufacturing Firms ◽  
Private Firms ◽  
Outward Fdi ◽  
Firm Level ◽  
Chinese Firm ◽  
Level Data ◽  
Production Strategies ◽  
Firm Level Data

Abstract We examine how domestic distortions affect firms’ production strategies abroad by documenting two puzzling findings using Chinese firm-level data of manufacturing firms. First, private multinational corporations (MNCs) are less productive than state-owned MNCs, but they are more productive than state-owned enterprises overall. Second, there are disproportionately fewer state-owned MNCs than private MNCs. We build a model to rationalise these findings by showing that discrimination against private firms domestically incentivises them to produce abroad. The model shows that selection reversal is more pronounced in industries with more severe discrimination against private firms, which receives empirical support.

Policy and Misallocation Evidence from Chinese Firm-Level Data

2022 ◽  
Author(s):  
Ana Maria Herrera ◽  
Guowen Chen ◽  
Steven Lugauer
Keyword(s):  
Firm Level ◽  
Chinese Firm ◽  
Level Data ◽  
Firm Level Data
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