Environmental Taxes and Innovation in Chinese Textile Enterprises: Influence of Mediating Effects and Heterogeneous Factors

Abstract

Climate change and environmental conditions call for more attention to be paid to eco-friendly economic behavior. As a market-oriented environmental regulation, environmental tax can stimulate and guide enterprises’ environmental innovation in a neutral way. However, what elements connect the environmental tax and enterprise innovation activity together? Are all the enterprises’ innovation activities affected by the environmental tax in the same way? To answer the questions, the study uses the data of Chinese textile listed companies between 2004 and 2018 to explore the intermediary role of manpower and capital investment in the innovation chain and further analyze the influence of the heterogeneous factors such as property right, segmented industry, and region. The results show that the environmental tax can effectively promote the innovation capital input of Chinese textile enterprises, and the innovation manpower input plays a partial mediation role. At the same time, environmental tax can effectively promote the innovation performance output of Chinese textile enterprises, and innovation capital input plays a complete mediation role. In addition, heterogeneous factors such as property right, segmented industry and region will affect the relation of environmental tax to innovation input and output quality and greenness to varying degrees. The study makes a profound analysis of the relation of environmental tax on Chinese textile enterprises innovation by using the microdata at the enterprise level, providing a more targeted reference for making policies in the future.

The impact of environmental taxes on economic benefits and technology innovation input of heavily polluting industries in China

“…These measures are taken to increase the environmental tax benefits via technology innovation. The present study suggests that appropriate environmental regulations can motivate enterprises to enhance environmental investment (Yang et al, 2012;Chandra Karmaker et al, 2021;Yu and Cheng, 2021) and innovation activities. (Porter and van der Linde, 1995;Chen et al, 2022).…”

Analysis of Voluntary Environmental Behavior and Innovation Quality of Chinese Textile Enterprises Based on Grounded Theory and Propensity Score Matching

“…Innovation quality: the paper mainly studies the impact of environmental regulation on innovation quality of textile enterprises, and greenness is an important aspect of innovation quality. Therefore, we use green innovation to measure the innovation quality here, and green patent is a common indicator to measure the performance of green innovation [ 8 ].…”

“…Considering the influence of enterprise heterogeneity, the subindustry, region, and property rights of the enterprise are put into the model as control variables [ 8 ]. In addition, the size and operating performance of an enterprise also affect the innovation behavior of an enterprise, the size (measured as total assets), revenue growth rate, and return on total assets (ROA) [ 28 ].…”

“…Textile enterprise is vital in the national economy. The environmental problem is an important challenge that traditional textile enterprises have to be faced with [ 8 ]. In this way, it is of great practical significance to study whether traditional textile enterprises can make full use of intelligent method and voluntarily carry out environmentally friendly behaviors to support the sustainable development of themselves and the society.…”

Transforming the Emotional Intelligence of the Feeders in Agribusinesses into the Development of Task Performance and Counterproductive Work Behaviors during the COVID-19 Pandemic

“…Therefore, this research proposes the multilevel model [ 36 , 37 , 38 ], which surveys how cross-level TL can significantly affect cross-level EI, WE, and WB, thereby leading to CWB and TP. Indeed, past surveys have empirically explored the antecedents of TP and CWB [ 39 , 40 , 41 ], but few studies pay attention to the antecedents of CWB and TP at the work-unit level. The present research surveyed 240 livestock feeders from 80 Taiwan livestock production agribusinesses and analyzed the proposed model through the multilevel model to fill this concern.…”