The willingness to pay (WTP) for marine conservation is an important basis for the design of market-based marine protection strategies and sustainable marine environment development. Whether the individual was willing to pay and how much they would prefer to pay may be affected separately by different factors. Thus, we investigated the probability of paying for marine conservation and the payment amount to obtain evidence regarding the factors that influence the preferences of stakeholders. We considered two marine protected areas in Zhejiang Province, China, where we combined contingent valuation with logit and tobit models to measure the differences in the WTP for marine conservation between tourists and residents. The results showed that most respondents were willing to pay for marine conservation, but they were affected by different factors. The average amounts that the respondents were willing to pay were 216.20 CNY ($34.3) and 172.43 CNY ($27.4) in the Nanji Islands MPA and Putuo Islands MPA, respectively. The probability of respondents’ WTP was closely related to their individual environmental awareness, whereas the payment amount was influenced mainly by personal income. Thus, our results suggest that increasing human environmental cognition and developing differential payment schemes for the marine environment among stakeholders may promote sustainable marine protection development and management.

With the increasingly serious environmental problems, coordinating the relationship between the environment and economic development has become a crucial task for developing countries, especially China. This paper studies the role of eco-industrial parks (EIPs) in the emissions of carbon dioxide and sulfur dioxide in China with the difference-in-difference (DID) approach by focusing on the entire process of EIPs’ establishment—upgrading provincial development zones (DZs) to national DZs and then transforming national DZs into EIPs. Besides, we examined the heterogeneous effect of the different transformations from national economic and technological development zones (ETZs) or national high-tech zones (HTZs) to EIPs. In addition, we studied the spatial spillover effects of EIPs and their paths with the spatial difference-in-difference (SDID) method. The results show that neither provincial DZs nor national DZs can significantly reduce sulfur dioxide and carbon dioxide emissions. Only when national DZs are transformed into EIPs can they be reduced significantly. However, the different transformations from the HTZs and ETZs to EIPs have different effects on emissions. Moreover, EIPs have technology spillovers and demonstration effects on surrounding areas. Therefore, EIPs can reduce emissions in the surrounding areas. The results indicate that, in order to achieve high-quality development and coordinate the relationship between environment and economic development, we should take positive steps to promote the transformation of DZs into EIPs.

The misallocation of production factors, with structural misallocation as an important aspect, is a key instigator of low total factor productivity (TFP) growth rate in China, but one important question is which structural misallocation of what factor is more serious in China. Using China’s manufacturing industrial enterprise data from 1998 to 2013, we calculated and compared the factors misallocation degree among industries, ownerships and regions. The results indicated that, the misallocation among industries was most serious, which led to a TFP loss of 8.12% annually. The misallocation among ownerships ranked second, which led to a TFP loss of 5.49%. The least degree of the misallocation recorded among provinces led to TFP loss of 3.05%. By using the relative severity index, the rank is the same. As to the capital, the misallocation among ownerships was most serious, which led to TFP loss of 4.62%. But as to the labor, the misallocation among industries was most serious, which led to TFP loss of 4.58%. Moreover, the misallocation among ownerships alleviated rapidly from 1998 to 2007, while alleviated slower among industries and regions. However, from 2008 to 2013, all three types of structural misallocation have become worse, especially in labor. These conclusions are important to identify the focus of structural reform in China.

Environmental pollution has recently become a serious economic issue, and finding ways to reduce pollution in economic development is an urgent task for developing countries, especially China. In this paper, we aim to document the policy role of development zones (DZs) in promoting China’s economic development on environmental pollution and consider the establishment of DZs as a quasi-natural experiment. Specifically, we identify the establishment of DZs on pollution emissions based on the staggered difference-in-difference (DID) approach by setting a dummy variable for DZ policies. Furthermore, we examine the heterogeneity of provincial and national (high-tech and economic development zones) DZs on pollution to detect the government domination effect. Finally, in order to deal with the potential spatial spillover effects of DZs, this paper applies the spatial difference-in-difference (SDID) method to explore the spatial reallocation effects of DZs. The results indicate that the provincial DZs can aggravate China’s pollution intensity, but they will no longer play the same role for national-level policies. Moreover, we find that national high-tech industrial DZs (HTZs) can reduce pollution intensity. In particular, the national DZs can bring about the reallocation of pollution among cities working as a selective place-based policy. That means that the national HTZs will not only reduce the local pollution intensity, but also reduce that of surrounding areas. Our empirical results highlight that cities should be encouraged to set up national HTZs in order to achieve an environmentally friendly high-quality development goal.

In this paper, we provide empirical evidence for understanding the growth behavior of China’s new generation of information technology (IT) industrial firms and the impact of innovation and market power on them. Based on the data of China’s new generation IT industrial firms covering the period 2000–2007, we use ordinary least square (OLS) and two-stage least squares (IV-2SLS) methods to study the effects of innovation and markup on the growth of China’s new generation IT industrial firms in the framework of Gibrat’s law. IV-2SLS estimations show that: (1) Innovation and markup have positive and significant effects on the firm’s total revenue growth rate, but have no significant or negative effects on the growth rate of the firm’s total assets and employment. (2) Innovation has a positive and significant effect on the firm’s mark-up. The results indicate that for China’s new generation IT industrial firms which are technology-intensive, improving the technological innovation and market power will reduce the firm’s input and increase the firm’s output. Innovation can significantly increase the firm’s mark-up. (3) From the perspective of the dynamic evolution of a firm’s growth, firm size has a negative and significant impact on the firm growth while firm age has a positive and significant impact on the firm’s growth. In addition, we also examine the different effects of capital intensity and export demand on the firm’s growth.

With the rapid development of the economy, human survival and socio-economic development are facing the severe challenges of climate threats. Global warming is one of the greatest threats to human survival and political stability that has occurred in human history. The main factor causing global warming is the extensive use of energy; therefore, it is imperative to spend more effort in energy conservation and emission reduction. In this context, this paper provides a reference and basis for decision making on emission-reduction paths through the perspective of energy input misallocation and economies of scale of ${\mathrm{CO}}_2$ emissions. The results show that for cities with relatively low energy inputs, the impact of excessive energy input on ${\mathrm{CO}}_2$ emissions is stronger than the effect of the scale of energy input on reducing ${\mathrm{CO}}_2$ emissions. Therefore, these cities need to prioritize energy conservation and emission reduction. On the other hand, in cities with large energy inputs, the impact of the scale of energy input on reducing ${\mathrm{CO}}_2$ emissions is more significant than the effect of excessive energy input on ${\mathrm{CO}}_2$ emissions. Therefore, these areas should also focus on energy conservation and emission reduction. The results of this paper have theoretical value and practical significance for scientifically implementing energy conservation and emission reduction strategies, as well as reasonably planning energy conservation pathways.