scholarly journals Economic Spillover Effects of Industrial Structure Upgrading in China’s Coastal Economic Rims

2021 ◽  
Vol 13 (7) ◽  
pp. 3855
Author(s):  
Hui Zheng ◽  
Xiaodong Liu ◽  
Yajun Xu ◽  
Hairong Mu

As a vital element affecting economic efficiency, the impact of marine industrial structure upgrading on marine economy has become a hot topic, and China is not an exception. This paper analyzed the dynamic relationship of marine industrial structure upgrading and marine economy efficiency to verity the “structural bonus” and “cost disease” effects. The results confirmed the existence of cost disease in China’s marine economy, although occasionally it illustrated structural bonus effects with the improvement of the regional marine economy efficiency. The spatial Durbin model (SDM) was introduced to study the spillover effect of local marine industrial structure upgrading (MISU) on the adjacent regions’ marine economy efficiency, and this spillover effect was verified to have agglomerate characteristics in China’s coastal areas. Then several countermeasures were proposed to realize marine ecological civilization and promote regional cooperation in the development of China’s marine economy.

Author(s):  
Jiao Jiang ◽  
Xindong Zhao ◽  
◽  

This study provides an in-depth analysis of the impact of innovation on industrial upgrading from theoretical and practical perspectives. In terms of theory, based on the endogenous growth theory model, a multi-sectoral growth model is constructed to portray the inherent logical connection between innovation and industrial structure upgrading. The results show that innovation has an important impact on industrial structure upgrading. Industrial structure upgrading depends on differences in innovation level among industries and the substitution relationship of finished products in the industry. From an empirical perspective, based on the panel data of 31 provinces in China from 2005 to 2017, the spatial effect of innovation on industrial upgrading was analyzed using the spatial Durbin model. The results show that innovation and industrial structure upgrading has significant spatial correlation effects, and regional innovation can drive China’s industrial upgrading. Meanwhile, the space spillover effect is an important factor that cannot be ignored in industrial upgrading.


Author(s):  
Xiaobo Yin ◽  
Liyan Guo

AbstractHigh-tech industrial agglomeration is conducive to boosting technological progress, promoting industrial structure upgrading and realizing economic transformation, and certainly affects the overall industrial environmental efficiency. However, few recent studies have focused on its impact on industrial environmental efficiency from a green perspective. In the context of promoting the development of green economy, it is of great significance to clarify the links between high-tech industrial agglomeration and industrial environmental efficiency. In this research, we first analyzed the theoretical mechanism of the impact of high-tech industrial agglomeration and its spatial spillover effects on industrial environmental efficiency and then made an empirical analysis based on the panel data of 29 provinces and cities in China from 2003 to 2016. During the research, Super-DEA method, ESDA method and spatial Dubin model are used. The result shows that: (1) There is a significant spatial positive correlation between China's industrial environmental efficiency and high-tech industrial agglomeration; (2) high-tech industrial agglomeration has improved the local industrial productivity and industrial technology level through scale effects and technical effects, which has accordingly significantly enhanced the corresponding environmental efficiency; (3) through the association of regional industries, the cross-regional cooperation of enterprises and the formation of innovation networks, high-tech industrial agglomeration promotes the spillover of knowledge and technology among regions, improves the level of industrial technology in neighboring regions, and enhances the industrial environmental efficiency in neighboring regions. All these three is helpful to re-evaluate the development mode of high-tech industry agglomeration and to formulate relevant government policies.


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.


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.


2020 ◽  
Vol 214 ◽  
pp. 02053
Author(s):  
Chun Chen ◽  
Hong Yuan ◽  
Weiyan Lin ◽  
Qing Xia

In the construction plan of China (Hubei) pilot free trade zone issued by China (Hubei) pilot free trade zone in 2018, it is pointed out that industrial transfer should be orderly undertaken, which undoubtedly provides a strong institutional guarantee for Hubei to undertake industrial transfer. This paper analyzes the mechanism of industrial transfer on industrial structure upgrading: capital accumulation mechanism, technology progress mechanism, industry aggregation mechanism. At the same time through empirical analysis it is concluded that: build the double logarithm model of Hubei province to undertake industry shift after the provincial labor resources, science and technology innovation ability, industrial concentration degree of ascension for the upgrading of industrial structure in Hubei province has a certain role in promoting, especially the size of the capital and the increase of the number of high-tech talent to upgrade the industrial structure to promote the most significant effect. Therefore, the government should intensify efforts to introduce domestic and foreign capital, cultivate and attract more high-tech talents, focus on improving the quality of workers, expand the scale of industrial agglomeration within the province, and enhance the ability of scientific and technological innovation.


2021 ◽  
Vol 9 ◽  
Author(s):  
Jiajia Dong ◽  
Yue Dou ◽  
Qingzhe Jiang ◽  
Jun Zhao

This study empirically investigates the impact of industrial structure upgrading on global carbon dioxide (CO2) emissions by employing a balanced dataset of 73 countries over the period 1990–2019. After conducting a series of empirical tests, we used the fixed effect (FE) and random effect (RE) methods to estimate the econometric model, and divided the full sample data into two subsamples, i.e., Regional Comprehensive Economic Partnership (RCEP) countries and non-RCEP countries, for heterogeneous analysis. This study also examines the mediating role of technological innovation in the relationship between industrial structure upgrading and global CO2 emissions. The main findings indicate that: (1) both industrial structure upgrading and technological innovation show significant negative impacts on CO2 emissions in the global panel, the RCEP countries, and the non-RCEP countries; (2) industrial structure upgrading not only affects CO2 emissions directly, but also has an indirect impact on global CO2 emissions by promoting technological innovation; and (3) the environmental Kuznets curve (EKC) hypothesis is verified in this study; in other words, both economic growth and CO2 emissions exhibit a significant inverted U-shaped relationship in the global panel, the RCEP countries, and the non-RCEP countries. Finally, we highlighted some important policy implications with respect to promoting industrial structure upgrading and mitigating the greenhouse effect.


2019 ◽  
Vol 69 (1) ◽  
pp. 34-41
Author(s):  
Rong Zhao ◽  
Gang Diao ◽  
Shaozhi Chen

Abstract The rapid economic and social growth of China has significantly increased its timber demand, resulting in a heavy reliance on foreign timber supply. Thus, price fluctuation in the international market poses a great risk to domestic timber production and processing enterprises. This study analyzed the dynamic conduction relationship between domestic and international logs and sawn timber markets and how to reduce risks by adjusting the structure of imported products' portfolios. In this article, the multivariate generalized autoregressive conditional heteroskedasticity model is applied to analyze the relationship between domestic and import prices of logs and sawn timber. The study found that among four markets, except one where the short-term spillover effect between domestic logs and sawn timber is large with statistical significance, spillover effects are small. In the long run, there are significant spillover effects between the four markets. Thus, changes in the international log market are very easy to transfer to the domestic log market through trade and then to the downstream domestic and international sawn timber markets. Therefore, in order to ensure timber security in China, this study uses the theory of portfolios to calculate product proportion with minimum risks. The proportion of portfolios indicates that, even though Chinese companies prefer logs, they have to import a great amount of sawn timber due to restrictions on log exports from sourcing countries, which increases the risk of timber supply.


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