Industrial green development (IGD) is a critical response to the over-consumption of natural resources and pollution caused by modern industry. Innovation-driven IGD has generated great interest in recent years. However, relatively less attention has been paid to the various aspects of IGD and the moderating role of regional factors, including the developmental stage of IGD, governmentscale, and enterprise-scale. The present study was conducted to fill these research gaps using panel data across 30 provinces in China from 2005 to 2015. The empirical results show that 1) innovation does promote IGD and is most effective in low-carbon production, followed by resource reduction, economic operation, and pollution abatement; 2) there is an inverted U-shaped relationship between the regional IGD level and the role of innovation in IGD; and 3) both government-scale and enterprise-scale contribute to the innovation-driven IGD. These findings provide new insights into the impact of innovation on IGD and may shed light on future decisions related to green development.
In the context of severe water shortage and pollution, enhancing the green total-factor productivity of water resources (GTFPWR) is critical for the green development of water resources. This study aims to propose a novel two-stage analytical framework, in which the GTFPWR is measured in the first stage and its economic-related determinants are examined in the second stage. In this two-stage analytical framework, we improve and integrate four classical methods, namely, the undesirablesuper-slack-based measure, global Malmquist-Luenberger productivity index, system generalized method of moments and fixed-effects panel threshold models. The proposed analytical framework is capable of addressing four practical issues simultaneously: equal efficiency, undesirable outputs, impact scenarios and endogenous biases. We can thus more accurately and comprehensively evaluate the GTFPWR and its determinants. To validate the applicability and suitability of the proposed methodology, we collected the panel data about water resources across 30 provinces in China from 2005 to 2015 for an empirical study. The main findings of this study are as follows: i) the level of water utilization is a critical factor for the government to decide whether to increase the GTFPWR via foreign direct investment and trade; ii) the amount of wastewater should be effectively reduced to
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