Industry Panel Research Articles

Analysis of the influence and coupling effect of environmental regulation policy tools on industrial green and low-carbon transformation

Industrial green and low-carbon transformation plays a crucial role in China’s efforts to achieve its Carbon peaking and Carbon neutrality objectives. The implementation of environmental regulation policies is a key institutional framework that facilitates this transformation. Therefore, it is of great importance to explore the impact and interplay of these policies on industrial green and low-carbon transformation to foster high-quality economic development. This study categorizes environmental regulation policy instruments into three types: command-type, investment-type, and expense-type. Using industrial panel data from 30 provinces in China spanning the period from 1997 to 2021, both theoretical analysis and empirical testing are conducted to investigate the effects of these different policy instruments on industrial green and low-carbon transformation. The benchmark regression results show that the impact of command-type environmental regulation and investment-type environmental regulation on industrial green and low-carbon transformation shows an inverted U-shaped feature of rising first and then declining. The impact of cost-based environmental regulation on industrial green and low-carbon transformation shows a U-shaped feature of decreasing first and then increasing. The coupling of command-type environmental regulation and investment-type environmental regulation, command-type environmental regulation and expense-type environmental regulation, and the coupling of the three kinds of environmental regulation can promote industrial green and low-carbon transformation. The mechanism test results show that the impact of formal environmental regulation on industrial green and low-carbon transformation has a transmission mode of “formal environmental regulation–green technology innovation path–green and low-carbon transformation.”

The effects of industrial agglomeration on ecological efficiency in China: evidence from manufacturing industry panel data

The effects of industrial agglomeration on ecological efficiency in China: evidence from manufacturing industry panel data

Industry Panel at WFCS 2024 [News in Industry Activities

Industry Panel at WFCS 2024 [News in Industry Activities

Impact of industrial robot on labour productivity: Empirical study based on industry panel data

This empirical analysis explores the impact of industrial robots on labour productivity using panel data of 17 Chinese industries from 2006 to 2021. The results reveal that the development of industrial robots significantly improves labour productivity; a series of robustness tests validate this outcome. However, the impact of industrial robots on labour productivity varies across industry types. The influence coefficient of the low-density robotics industry is larger than that of the high-density robotics industry. Furthermore, although the scale of industrial robot usage before 2012 was smaller than that after 2012, its effect on labour productivity was more significant. Our findings indicate the possibility of diminishing marginal effect of industrial robots in promoting labour productivity. The mechanism analysis demonstrates that human capital level has a complete intermediating effect between industrial robots and labour productivity. Thus, industrial robot applications can contribute to labour productivity by optimising human capital structure. These findings provide crucial insights for governments and policy makers to improve labour productivity and economic growth.

The Impact of the Carbon Emission Trading Shadow Price on the Green Total Factor Productivity of the Power Industry in China

To mitigate the problem of global climate change, governments have taken measures to reduce greenhouse gas emissions. Carbon emission trading has gradually attracted attention as a market-oriented option. Power industry panel data from 30 provinces in China were used for an empirical analysis in this study. The super-efficiency Slack-Based Measure (SBM) model was used to calculate the shadow price of carbon trading and the green total factor productivity (GTFP), and the Ordinary Least Squares (OLS) regression model was used to quantitatively analyze the correlation between the shadow price of carbon trading and the GTFP of the power industry. The results showed that the shadow price of carbon trading had a significantly negative impact on the GTFP of the power industry; therefore, it needs to be improved and perfected. Through a further analysis using the heterogeneity test, it was found that there were problems in the current carbon trading price mechanism. In the face of the above problems, we offer suggestions for improvement from the perspectives of the government and companies. This study helps deepen the understanding of carbon trading prices and the GTFP in the power industry, and it provides a reference for formulating more effective carbon trading policies and corporate green management strategies.

Controlling Three-Phase Induction Motor with an Internet of Things (IoT) Smart Industrial Panel

Abstract: With the transition from manual to auto systems, technology has been advancing globally. The smart control panel is the subject of this study. The electrical components of appliances can be inductive, resistive, or capacitive. The majority of inductive devices are motors. a three-stage There are many uses for induction motors in the global power system because of its many benefits, including low starting power, low maintenance cost, and widespread use. This paper discusses fault analysis in induction motors using MATLAB/SIMULINK, providing optimal protection combining traditional and IoT for both automatic and manual methods, and making it fully controllable according to the requirements of protection engineers for various loads. This is important for the economy and the motors' longevity, as it ensures that they operate optimally with the best smart protection techniques. In this setup, the control elements include a molded-case circuit breaker for safety, a temperature and vibration sensor with an Internet of Things (IoT) based remote data collecting method for automatic protection, and a selector switch for human control and automatic operation.

Artificial intelligence and the skill premium: A numerical analysis of theoretical models

As a new engine in guiding China's high-quality economic development, it is important to study whether the development of artificial intelligence (AI) will increase the skill premium and affect labor income inequality. Based on Acemoglu and Restrepo's (2018a) task-based model, this study constructs a multi-sector dynamic general equilibrium (DGE) model to analyze the impact and mechanism of AI on the skill premium and performs a numerical simulation using China's industrial panel data from 2010 to 2019. The results show that AI widens the skill premium by substituting low-skilled labor with industrial robots and performing high-skilled labor tasks. The mechanism analysis reveals that AI also affects the skill premium by influencing factor flow and structural transformation. Based on these findings, this study provides policy suggestions for governments to mitigate the impact of AI on the labor market.

Impact of industrial robot applications on global value chain participation of China manufacturing industry: Mediation effect based on product upgrading

Promoting the application of industrial robot (IR) is an important module for China to build core competitiveness, and it is also the main grasp of global value chain participation (GVCP). Using China manufacturing industry panel data from 2006–2014, working from the perspective of product upgrading, this paper empirically analyzes the impact of IR applications on GVCP. The empirical results show that IR applications weaken China’ incentives to participate in global value chains (GVCs); this weakening effect is reflected in both forward and backward participation in GVCs. On the one hand, the mediation effect test results indicate that the product upgrading effect brought about by IR applications can help China achieves the import substitution of intermediate inputs and uses local intermediate inputs to produce exports. These steps would reduce the backward participation in GVCs. On the other hand, the localization of manufacturing can result in China losing the opportunity to export intermediate inputs to other economies, thus reducing the forward participation of GVCs. Of course, due to sample limitations, the research conclusions of this article are only applicable to interpreting the Chinese economy.

Effects of Working Capital Management on Small and Medium-sized Enterprises' Profitability from the Continuity of Supply Chain Relationships

Purpose: The object of this paper is to analyze the impacts on the CCC, DIO, DRO, DPO, which are a factor for measuring WCM and profitability (ROA) from a supply chain relationship perspective between two large Korean automotive manufacturers (Hyundai Motor Company and Kia Corporation) and SMEs in the automotive parts manu-facturing industry.
 Design/methodology/approach: We used two Korean automotive manufacturers (Hyundai Motor Company and Kia Corporation) and SMEs of Korean automotive parts manufacturing industry's panel data in this research. The panel data model was used to investigate the impacts of CCC and its factors on ROA to test the hypotheses. For analyzing the panel data, a model of fixed effects was used in this research.
 Findings: According to the groups, the CCC shows a negative correlation with both ROA. DIO is negatively associated with ROA. DPO shows a positive correlation with ROA. In contrast, DPO shows a negative correlation with ROA. DPO shows a positive correlation with ROA. Conversely, DPO shows a negative correlation with ROA.
 Research limitations/implications: The limitations of this research show that because the analysis was made on the basis of the automotive industry in Korea, it is difficult to apply it to other industries in other countries. A comparative international analysis is therefore needed. The implications of this paper are the impacts of CCC, DIO, DRO, and DPO on profitability based on large enterprises and SMEs in aspects of the supply chain relation-ships, which previous studies did not cover sufficiently.
 Originality/value: Prior study mainly concentrated on the impacts of the CCC, DIO, DRO, and DPO on profitability based on SMEs in various industries from many countries. But this research focused on the CCC and profitability from the perspective of supply chain relationship between Korean large enterprises and SMEs.

Research on the income distribution effect of factor allocation efficiency changes among China's three major industries.

This paper aims to study the impact of correcting the factor misallocation among China's three major industries on China's income gap and income distribution pattern. By using the industry Panel data at the provincial level in China, we measure the degree of factor misallocation among the three major industries in China's provinces from 2002 to 2019 by building a factor misallocation measurement model, and then uses reverse thinking to compare the income gap under the condition of no factor misallocation with the actual income gap, and then obtains the impact of factor misallocation on the income gap, And use this method to focus on analyzing the impact of factor allocation efficiency changes among the three industries on income distribution pattern. The research finds that: (1) There is a serious factor misallocation among the three major industries in each province. From the perspective of subdivided factors, the factor misallocation among the three major industries in China's provinces is mainly caused by labor misallocation. Factor misallocation shows a trend of convergence first and then divergence among regions. (2) There is a strong heterogeneity in the explanatory power of different dimensions of the income gap of factor misallocation among the three major industries in China's provinces. Among them, correcting the misallocation of total factors among the three major industries in China's provinces can only narrow the internal income gap of the tertiary sector of the economy, and expand the internal income gap between the primary and secondary industries. (3) The impact of correcting the total misallocation, capital misallocation and labor misallocation among the three industries on the income gap among industries or provinces is narrowing first and then expanding. (4) Further research shows that although the level of factor misallocation among provinces in China is significantly lower than the average level of factor misallocation among the three major industries within each province, it has a stronger explanatory power for the inter-provincial income gap. Correcting the total factor misallocation and labor misallocation among provinces can significantly reduce the inter-provincial income gap in China. Correcting the total factor misallocation and labor misallocation among provinces in 2019 can reduce the inter-provincial income gap by 51.48% and 81.68% respectively. Only correcting the capital misallocation among provinces will expand the inter-provincial income gap, and only correcting the capital misallocation among provinces in 2019 will expand the inter-provincial income gap by 112.21%.

Learning to Export and Learning by Exporting: The Case of East Java Manufacturing Industry

The manufacturing industry contribution and its proportion to the exports in recent years has become dominant in supporting the East Java Province economy. Previous literature showed the impact of export participation in increasing a firm’s productivity. Meanwhile, little literature explains how the manufacturing industry learns about the benefits of exports so that it leads to an increase in a firm’s productivity. Using a large and medium industrial panel dataset from 2008 to 2015 in East Java Province, this study found that export participation in the manufacturing industry significantly increases a firm’s productivity. This increased productivity is due to the selectivity of productivity because manufacturing firms experience learning to export. In addition, this study also found that the manufacturing industry in East Java experienced learning by exporting even with a short duration since entering the export market. By knowing the learning scheme of export participation in the manufacturing industry in East Java, policy recommendations can be established, such as export promotion strategies, export market expansion, and decreased export costs so that the manufacturing industry can increase productivity.

Sustainability in Sport: Sport, Part of the Problem … and of the Solution

Sport is one of the most popular social activities in the world. It is also one of the most thriving industries from an economic standpoint. The sport sector is at the crossroads of economic, political and social issues. For this reason, sport organisations have to consider sustainability as a major concern. When facing such major issues (environmental protection, social connections, the concern of business for society), sport can appear as the “most important insubstantial thing”. But it could be seen both as the best and the worst example in terms of sustainability. This article addresses two complementary objectives. The first one is to provide an overview of the current state of sustainability-in-sport research over the last 20 years and demonstrate how this field became a major topic in the last 10 years. This has been done through a systematic search of existing academic research concerning sustainability in sport. The second is to offer an explanation of how the field of sport currently manages different sustainability-related issues. This has been accomplished by interviewing an industry panel, which also gives some perspectives for the future.

How Does Industrial Agglomeration Affect Exports? Evidence from Chinese Province-Industry Panel Data

Industrial agglomeration is currently an important mode of industrial organisation in China’s regional economic development. Many provinces rely on their favourable resource and location advantages to formulate corresponding industrial agglomeration policies. Industrial agglomeration policies produce agglomeration effects, which enable enterprises in the agglomeration area to gain external advantages such as labour, resources and technology, effectively improving productivity and promoting sustainable local economic development. Based on the inter-provincial industry panel data from 2008 to 2017, the static benchmark regression model and dynamic GMM model are constructed to study the relationship between industrial agglomeration, labour productivity and exports, and to explore their interaction mechanism and practical effects. The study shows that, firstly, industrial agglomeration in China significantly contributes to industrial exports. However, in the long run, industrial agglomeration has a positive and then negative effect on industrial exports, with an inverted U-shaped curve. Secondly, the relationship between industrial agglomeration and industrial exports is negatively influenced by labour productivity. Finally, based on the perspective of regional heterogeneity, the impact of industrial agglomeration on exports is not significant in industrial base regions, but shows a significant promotion relationship in non-industrial base regions. Moreover, the impact of industrial agglomeration on industrial exports is not significantly different between coastal port regions and non-coastal port regions. Based on the research results, this paper puts forward targeted policy recommendations such as changing the competition model, increasing the introduction of talent and adjusting the industrial structure.

International Industrial Transfer, Green Technological Innovation, and Manufacturing Global Value Chain Status

Most of the existing literature focuses on how international industrial transfer (IIT) impacts the global value chain (GVC) status of the manufacturing industry from the perspective of narrowly defined FDI but ignores the objective fact that FDI and IIT are not equivalent. Based on theory analysis, we used the TiVA database, the input–output model, and global value chain-related methods to effectively measure the scale of generalized IIT and GVCs of manufacturing sectors in China from 1995 to 2018. On this basis, the relationship between IIT and the GVCs of manufacturing industries and the moderating effect of green technological innovation (GTI) were empirically investigated using industry panel data. The results show that (1) there is a nonlinear inverted U-shaped relationship between IIT and manufacturing GVCs; that is, a larger IIT scale is not better from the perspective of manufacturing GVCs. (2) GTI weakens the inverted U-shaped relationship between IIT and manufacturing GVCs. (3) The heterogeneity analysis found that both medium- and high-technology manufacturing IITs have a nonlinear inverted U-shaped relationship with GVCs, which does not exist in low-technology manufacturing IIT. (4) The benchmark regression results remain robust after replacing the GVC measure, excluding special years and endogeneity treatment and replacing the estimation method robustness test. The research in this paper has implications for optimizing the design of IIT policies to promote the upgrading of manufacturing GVC status.

Recruitment in the Corporate Legal Industry Panel Discussion

AbstractRecruitment within the legal information sector has been challenging in recent years, in both the UK and the US, with a market that has been heavily skewed in favour of applicants. Which is why the City Legal Information Group (CLIG) hosted a virtual conference in late February to look at the current state of the recruitment market, the best ways to hire the very best people, and also the methods individuals might employ to find work in the sector themselves. Here Caroline Asbjornsen, a researcher at Watson Farley & Williams LLP and a member of the CLIG committee, talks us through what turned out to be a fascinating discussion.

Report on the First International Workshop on Data Systems Education (DataEd '22)

This report summarizes the outcomes of the first international workshop on Data Systems Education: Bridging Education Practice with Education Research (DataEd '22). The workshop was held in conjunction with the SIGMOD '22 conference in Philadelphia, USA on June 17, 2022. The aim of the workshop was to provide a dedicated venue for presenting and and discussing data management systems education experiences and research by bringing together the database and the computing education research communities to share findings, to crosspollinate perspectives and methods, and to shed light on opportunities for mutual progress in data systems education. The program featured two keynote talks, ten research paper presentations, a discussion session, and an industry panel discussion. In this report, we present the workshop's main results, observations, and emerging research directions.

An Art of Nothing, an Art of Something: The Local in the Global or the Global in the Local?

The solo exhibition, Nothing Matters, was installed on the mezzanine floor of an industrial panel beater warehouse at 400 Sydney Road, Durban, South Africa. The exhibition was open to the public from September-December 2021. The objective of the exhibition was to create ‘something’ of conceptual and aesthetic compulsion from a language of nothingness, whether it is ‘found’ in the surrounding temper of the public space or, in art, in various manifestations of the ‘dematerialised object’: the void; the empty canvas or gallery; the ‘invisible’ work; or the detritus of the everyday? The following is a dialogue between literary critic Michael Chapman and artist Greg Streak regarding the exhibition.

Investigating employee engagement practices using information technology during Covid-19 crisis: Evidence from panel of industries

Investigating employee engagement practices using information technology during Covid-19 crisis: Evidence from panel of industries

Decarbonization of mobility, including transportation and renewable fuels

An industrial panel session, focussed on ‘Decarbonization of Mobility’, was held at the 39th International Symposium of Combustion (ISOC) with representatives from GE, Rolls-Royce, Toyota, PACCAR, and FM Global – this paper is a summary of the discussion Hydrogen and fully electric aircraft are likely to be appropriate for some markets, with Sustainable Aviation Fuel (SAF) being required for many applications. For the heavy duty (HD) sector, battery electric commercial vehicles may be less practical for ranges >300 miles, depending on the assumptions used, and well-to-wheel approaches are needed for robust comparisons between options. For passenger cars, a key message was that there is merit in considering high efficiency combustion options in conjunction with decarbonized fuels: super lean burn options on liquid fuels have the capacity to reach 50% brake thermal efficiency (BTE). Moreover, efficiency could be pushed higher with hydrogen combustion engines. From the perspective of understanding hazards, risk and safety of alternative fuels and vehicles, it needs to be recognized that hydrogen and hydrogen blends have very different combustion properties compared to traditional fuels, and that Li-ion batteries can potentially present fire and explosion hazards due to the risk of thermal runaway and combustible gas release.

Input servitization, global value chain, and carbon mitigation: An input-output perspective of global manufacturing industry

As an emergent pattern of integration between the manufacturing and service industries, manufacturing servitization has become a global trend. While studies have explored the eco-friendly characteristics of servitization, most have overlooked the roles of global value chains (GVCs) in transmitting its carbon mitigation effects. Using cross-country industrial panel data collected from the global manufacturing industry between 2000 and 2014, this study empirically analyzes the multidimensional effects of input servitization on manufacturing carbon emissions from the input-output perspective, with attention to the mediating roles of GVCs in the servitization-emission nexus, including the underlying mechanism and transmission channels. Our results show that the carbon abatement effects of servitization are heterogeneous across different emission intensities. Further, GVC participation implicitly counteracts the carbon abatement effects of servitization, wherein backward GVC participation plays a dominant role. We therefore propose that servitization is a feasible path for coordinating high-quality economic development and resource/environmental constraints.