scholarly journals Impact Analysis of Large-Scale Environmental Spot Inspection Policy on Green Innovation: Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Bo Chen ◽  
Meitong Ren ◽  
Liye Chen

The spot inspection policy has been widely applied in environmental protection in China. This paper collects environmental enforcement announcements and green patent data published by Chinese government agencies from 2006 to 2015. First, it studies the impact of spot inspection on green innovation with the spatial Durbin model. Then, it analyzes spatial heterogeneity according to the eastern, central, and western regions including 29 provinces. The spot inspection policy significantly increases the green innovation of a current region with a negative spillover effect on neighboring regions. Even though this policy has the best performance in the eastern region, it leads to pollution transfer into the western region, while being ineffective in the central region. Further, analysis on the spatial spillover effects of the 29 provinces proves that 21 provinces have a positive spillover effect, while eight provinces have a negative spillover effect. The research study shows that although spot inspection is generally beneficial to green innovation, pollution transfer and policy failure exist because of spatial heterogeneity.

2022 ◽  
Vol 9 ◽  
Author(s):  
Zumian Xiao ◽  
Lu Yu ◽  
Yinwei Liu ◽  
Xiaoning Bu ◽  
Zhichao Yin

How to utilize financial instrument to deal with environmental issues has been a focal topic. Taking the introduction of green credit program as a “quasi-natural experiment,” the propensity score matching and difference-in-difference approach (PSM-DID) are used to investigate the impact of the green credit policy implemented by Chinese government on firm-level industrial pollutant emissions. The estimation results indicate that the green credit policy significantly reduces corporate sulfur dioxide emissions. Heterogeneity analysis shows this impact is more pronounced for large-scale enterprises and enterprises located in the eastern region. The estimated mediation models reveal that after the implementation of the green credit policy, reduction in sulfur dioxide emissions can be attribute to the increased environmental investment and improved energy consumption intensity. Moreover, the green credit policy is also significantly effective in mitigating the discharge of other common industrial pollutants. Our findings highlight the importance of green credit policies in achieving greener industrial production and more sustainable economic development.


2019 ◽  
Vol 11 (4) ◽  
pp. 66-95
Author(s):  
Manuela Angelucci ◽  
Silvia Prina ◽  
Heather Royer ◽  
Anya Samek

Little is known about how peers influence the impact of incentives. We study how peers’ actions and incentives can lead to peer spillover effects. Using a field experiment on snack choice in the school lunchroom (choice of grapes versus cookies), we randomize who receives incentives, the fraction of peers incentivized, and whether or not it can be observed that peers’ choices are incentivized. We show that, while peers’ actions of picking grapes have a positive spillover effect on children’s take-up of grapes, seeing that peers are incentivized to pick grapes has a negative spillover effect on take-up. When incentivized choices are public, incentivizing all children to pick grapes, relative to incentivizing none, has no statistically significant effect on take-up, as the negative spillover offsets the positive impacts of incentives. (JEL C93, D12, I21, J13)


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wuyi Ye ◽  
Yiqi Wang ◽  
Jinhai Zhao

Purpose The purpose of this paper is to compare the changes in the risk spillover effects between the copper spot and futures markets before and after the issuance of copper options, analyze the risk spillover effects between the three markets after the issuance of the options and can provide effective suggestions for regulators and investors who hedge risks. Design/methodology/approach The MV-CAViaR model is an extended form of the vector autoregressive model (VAR) to the quantile model, and it is also a special form of the MVMQ-CAViaR model. Based on the VAR quantile model, this model has undergone continuous promotion of the Conditional Autoregressive Value-at-Risk Model (CAViaR) and the Multi-quantile Conditional Autoregressive Value-at-Risk Model (MQ-CAViaR), and finally got the current form of the model. Findings The issuance of options has led to certain changes in the risk spillover effect between the copper spot and its derivative markets, and the risk aggregation effect in the futures market has always been significant. Therefore, when supervising the copper product market and investors using copper derivatives to avoid market risks, they need to pay attention to the impact of futures on the spot market, the impact of options on the futures market and the risk spillover effects of spot and futures on the options market. Practical implications The empirical results of this paper can be used to hedge market risk investment strategies, and the changes in market relationships also provide an effective basis for the supervision of the copper product market by the supervisory authority. Originality/value It is the first literature research to discuss the risk and the impact of spillover effects of copper options on China copper market and its derivative markets. The MV-CAViaR model can capture the mutual risk influence between markets by modeling multiple markets simultaneously.


2019 ◽  
Vol 20 (3) ◽  
pp. 477-494 ◽  
Author(s):  
Shaofeng Yuan ◽  
Chunhui Huo ◽  
Tariq H. Malik

Purpose The purpose of this paper is to examine a possible negative spillover effect in sports sponsorship to answer whether the sponsored team’s poor performance will have a negative effect on audiences’ trust in its sponsor’s brand. The authors further analysed whether the audience’s attitude towards the team plays a mediating role and whether the audience’s personality type (active vs passive) plays a moderating role in this negative spillover effect. Design/methodology/approach Three experimental studies were conducted with 380 Chinese undergraduates and MBA student participants over two years. The authors designed the experiment as a computer-mediated intervention in which good, poor and neutral performance groups were compared. After the respondents were exposed to the intervention, we asked them to answer questions using a computer terminal. We analysed the data from the three experiments through analysis of variance (ANOVA), regression analysis and a bootstrap. Findings The audiences who were exposed to a team’s poor performance condition reported less trust in the sponsor’s brand relative to those exposed to a good performance condition, and the brand trust was even lower than for those who were exposed to a control condition (no performance information). Further, the audience’s negative attitude towards the sports team mediated the negative effect of the team’s poor performance on its sponsor’s brand trust. The negative effect was more obvious for individuals with Type A personalities (active) than for those with Type B personalities (passive). Originality/value The prior literature has neglected a possible negative effect of a sports team’s performance on its sponsor’s brand trust. In particular, questions of whether, how and when this negative effect occurs are critical for sponsors, teams, and audiences. Since sports team sponsorship is burgeoning in China, the negative implications are unclear in this new context. Thus, the revelation that the negative spillover effects of a team’s poor performance on audiences’ trust in the sponsor’s brand provides two original contributions. First, the negative effect reveals value for multiple sponsorship stakeholders. Second, the Chinese context in this study adds value for future research and practice regarding both Chinese-foreign and domestic Chinese decisions.


Kybernetes ◽  
2020 ◽  
Vol 49 (11) ◽  
pp. 2737-2753
Author(s):  
Hui Wang ◽  
Meiqing Zhang

Purpose The large-scale construction of China’s transportation infrastructure has driven the flow of elements between regions, which has provided convenient conditions for the accumulation of advantageous resources. Design/methodology/approach Based on the panel data of 31 provinces in China in the past 2003-2017 years, this paper applies the spatial econometric model and partial differential method and empirically analyzes the spatial spillover effect of transportation infrastructure on employment in the service industry under four spatial weighting matrices. Findings The results show that for every 1 per cent increase in the level of transportation infrastructure, the employment density of the service industry in the region can be increased by 0.1274 per cent. It is worth noting that roads promote the employment of the service industry more than railways and inland waterways. However, inland waterways have not shown positive effects. The results on spatial spillover of transportation infrastructure indicate that railway has obvious promotion effect on the employment level of service industry in the surrounding area, while the highway has hindered the effect. The spatial spillover effect of inland waterway is not obvious. Originality/value The value of this paper is to consider the impact of China’s transportation infrastructure on employment in a particular industry, especially in the service industry. The research will help to provide empirical evidence for policymakers. The government needs to invest and build transportation infrastructure based on the stage and development potential of the employment development of the regional service industry.


2017 ◽  
Vol 51 (9/10) ◽  
pp. 1695-1712 ◽  
Author(s):  
Mouna Sebri ◽  
Georges Zaccour

Purpose The starting conjecture is that the market share of a brand in one category benefits from its performance in another category, and vice versa. The purpose of this paper is to assess the umbrella-branding spillovers by investigating the presence of synergy effect between categories when a retailer and/or a manufacturer decide to adopt/use the same name for his products. In fact, besides the cross-category dependency due to substitutability or complementarity, products can also be linked through their brand name in presence of an umbrella-branding strategy. Design/methodology/approach The authors propose an extended market-share model to account for the spillover effect at the brand level. The spillover is modeled to be generated by the brand's performance and not specific to marketing instruments, as done in the literature. They adopt a multiplicative competitive interaction (MCI) form for the attraction function. Based on aggregated data of two complementary oral-hygiene categories, the authors estimate the umbrella-branding spillover parameters using the iterate three-stage least squares (I3SLS) method. They contrast the results in three scenarios: no spillover, brand-constant spillover and brand-specific spillover. Findings The ensuing results indicate that umbrella-branding spillover is (i) significant and positive, i.e. the brand performance is boosted by its performance in a related category, through the so-called brand-attraction multiplier; (ii) asymmetric, i.e. the spillover is not equal in both directions; and associated to the market strength of each competing brand; (iii) variable across brands. The results show that not accounting for umbrella-branding spillover leads to misestimating the parameters and has a considerable impact on price-elasticities computation. Research limitations/implications Because store brands and some national brands exist in many categories, and thus because consumers make inferences when they face a large number of brands in different categories, spillover effects cannot be labelled as simply complementary or substitution-related. Future research may provide insight about the spillover phenomenon in a more general framework that would consider the spillover occurring between more than two categories. Practical implications Providing accurate assessment for umbrella-branding spillovers governing the competing brands, the results offer a relevant and straightforward method for decision makers to precisely assess the impact of a marketing effort in one category on the retailer's global performance. The findings provide better forecasts of market response in terms of sales and profit, within a cross-category perspective. Originality/value This study develops and estimates a market-share model with the aim of measuring brand-category spillover effects. The literature dealt with cross-category interactions in terms of substitutability or complementarity between the products offered in the two or more categories under investigation. Here, the focal point (and contribution) of the authors is the link at the brand level. Indeed, the authors only require that a minimum of one brand is offered in at least two of the categories of interest. Further, the spillover considered is not specific to marketing instruments, but is generated by the brand performance (attraction or market share), which is the result of both the firms marketing-mix choice and competitors marketing policies.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianjun Xu ◽  
Xiaowei Yang

The extensive use of information and communication technologies (ICT) has facilitated people’s lives and promoted the improvement of productivity. In the meantime, ICT has a profound effect on the efficiency of electricity utilization and the demand for electricity. The existing studies consider the direct effect of ICT on electricity consumption (EC) but neglect the spillover effect of ICT on EC and their action channels. Under the assumption of cross-section dependence, this paper introduces spatial modeling techniques to confirm the positive direct effect and negative spillover effect of ICT on EC. The positive direct effects and negative spillover effects of information technology on EC are similar to those of the communication technology, and the absolute value of the former is also greater than the latter. Additionally, the results of meditation effect modeling also confirm that there exists an incomplete mediating effect in the process of the ICT affecting EC through the channels of economic growth and the adjustment of the industrial structure. This study provides freshly empirical evidence for people to better understand the role of ICT in EC and opens fresh insights for policymakers to make corresponding policy adjustments.


2021 ◽  
Vol 9 ◽  
Author(s):  
Yan Li ◽  
Zhicheng Wang

This study explores the impact of public concerns on green innovation in China’s automotive industry and examines whether the effect varies based on firm size, ownership, and time phase. The study investigates 151 automobile enterprises and provides a novel, large-scale, and data-based perspective and estimation method for exploring critical factors of green innovation. By applying transition probabilities matrix (TPM) model, this paper finds that for different-sizes automotive enterprises there are significant differences in innovation sustainability, non-innovation sustainability, and liquidity between innovation and non-innovation, and such differences also exist for state-owned and non-state-owned enterprises. Then, based on the dynamic panel random probit (DPRP) model, the paper further analyzes the possible reasons for these differences, and particularly focuses on exploring the impact of public environmental concern on the environmental technology innovation. The empirical results show: 1) public concerns encourages green innovation emerging in all automotive firms, but only affects innovation persistence in medium and large companies. 2) public concerns encourages non-innovator state-owned companies to become innovators and motivates them to maintain continuous innovation. 3) the impact of public concerns changes over time. In the periods of 2002–2007 and 2012–2013, the role of public concerns is not significant. However, in the 2007–2012 period, public concerns significantly stimulate enterprises to move from non-innovators to innovators and promotes continuous innovation.


2020 ◽  
Vol 148 ◽  
Author(s):  
Shi Zhao ◽  
Salihu S. Musa ◽  
Hao Fu ◽  
Daihai He ◽  
Jing Qin

Abstract Lassa fever (LF) is increasingly recognised as an important rodent-borne viral haemorrhagic fever presenting a severe public health threat to sub-Saharan West Africa. In 2017–18, LF caused an unprecedented epidemic in Nigeria and the situation was worsening in 2018–19. This work aims to study the epidemiological features of epidemics in different Nigerian regions and quantify the association between reproduction number (R) and state rainfall. We quantify the infectivity of LF by the reproduction numbers estimated from four different growth models: the Richards, three-parameter logistic, Gompertz and Weibull growth models. LF surveillance data are used to fit the growth models and estimate the Rs and epidemic turning points (τ) in different regions at different time periods. Cochran's Q test is further applied to test the spatial heterogeneity of the LF epidemics. A linear random-effect regression model is adopted to quantify the association between R and state rainfall with various lag terms. Our estimated Rs for 2017–18 (1.33 with 95% CI 1.29–1.37) was significantly higher than those for 2016–17 (1.23 with 95% CI: (1.22, 1.24)) and 2018–19 (ranged from 1.08 to 1.36). We report spatial heterogeneity in the Rs for epidemics in different Nigerian regions. We find that a one-unit (mm) increase in average monthly rainfall over the past 7 months could cause a 0.62% (95% CI 0.20%–1.05%)) rise in R. There is significant spatial heterogeneity in the LF epidemics in different Nigerian regions. We report clear evidence of rainfall impacts on LF epidemics in Nigeria and quantify the impact.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jeffrey M. Coy ◽  
Kien D. Cao ◽  
Thuy T. Nguyen

PurposeConsistent with an “absolute bonding hypothesis,” the benefits of listing on US exchanges experienced by cross-listed firms are accompanied by an increased risk of experiencing a spillover effect due to negative news within their industry. The purpose of this study is to test this form of the bonding hypothesis by analyzing the spillover effect to cross-listed firms when class action lawsuits are filed against their industry peers.Design/methodology/approachThe bonding hypothesis is tested by analyzing the spillover effect to non-sued cross-listed firms of class action lawsuits brought against US domestic firms in the same industry. The spillover effect is identified using cumulative abnormal returns around lawsuit filing dates from 1996 to 2020. A sample of matched non-sued cross-listed and domestic peer firms is evaluated in a cross-sectional analysis to identify country and firm-level characteristics that mitigate the negative spillover effect to cross-listed firms.FindingsWhile US firms realize significantly negative abnormal returns when class action suits are filed against their industry peers, the impact to cross-listed peers is statistically insignificant. In multivariate analyses, we show that the ability of cross-listed firms to avoid this negative spillover effect is stronger for firms with greater profitability that are headquartered in countries with better shareholder protections and governance characteristics.Originality/valueResults suggest that cross-listed firms may have a level of immunization from the negative industry spillover effect of class action lawsuits and, thus, exhibit only “partial bonding” to the US market.


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