Pillar Industry Research Articles

The Stimulating Effect of Consumption Voucher on Chinas Tourism Industry after the Epidemic

The era occupied by the COVID-19 is coming to an end, but the loss it has brought to the world is immeasurable. Tourism, as a key industry or even a pillar industry in many countries, how to revive tourism as soon as possible has become a major concern of all countries in the post-epidemic era. This paper studied the status quo of tourism industry in 20 Chinese cities after the epidemic, divided them into groups by whether to issue consumption vouchers or not, and studied the factors which can influence tourism income increment. The study found that the policy of coupon distribution did not play an important role in promoting tourism. Meanwhile, the local GDP and education level also played a positive role in the recovery of tourism. This study is able to provide some reference value for the government and tourism departments in formulating policies to promote consumption in this industry.

The Spatiotemporal Distribution Characteristics and Driving Factors of Carbon Emissions in the Chinese Construction Industry

As a pillar industry of the national economy, the construction industry not only promotes urban development and social prosperity but also has an irreversible impact on the environment with the trend of high carbon emissions. Therefore, it is of great significance for the construction industry to take the lead in achieving carbon emissions reduction. This paper attempts to explore the spatiotemporal distribution characteristics and specific driving factors of carbon emissions in the construction industry in 30 provinces of China from 2011 to 2020 based on the spatial econometric analysis, so as to clarify the development trajectory and formation mechanism. The key findings are (1) there are obvious differences in carbon emissions across Chinese provinces, culminating in a distinct “Belt–Ring–Dot” spatial distribution; (2) the carbon emissions in the construction industry follow an inverted U-shaped pattern from south to north, with lower emissions in the west and higher emissions in the east, which means the pressure and potential of carbon emissions reduction coexist; (3) the Moran’s I index values from 2011 to 2020 were all greater than 0, with a maximum value of 0.284, indicating that there is a notable positive spatial correlation in carbon emissions in the construction industry between provinces; and (4) among the five factors, the number of employees displays the most pronounced spatial correlation, passing the test a total of eight times, and the mean test coefficient is the largest at 0.552. This factor positively influences carbon emissions alongside the gross product. On the other hand, the patents granted factor significantly inhibits carbon emissions with all test coefficients being negative with a maximum absolute value of 0.166. The impact of the technical equipment rate shows a characteristic of initial positive stimulation followed by later negative inhibition. In contrast, the urbanization rate exhibits the weakest spatial correlation with the minimum test coefficient being only 0.001.

Research on the application of prefabricated green steel structure in public buildings

The construction industry is a pillar industry to improve people's quality of life and promote social and economic development. It has the characteristics of high energy consumption and high pollution, which deviates from the requirements of green development advocated by people at present. In view of healthy long-term development, the building industry needs to take effective measures to reduce energy use. The components used in prefabricated steel construction projects are mainly processed in factory batches. After transportation to the construction site, they only need to be assembled in accordance with standard specifications and processes, which can shorten the construction period, reduce the generation of construction waste, and fully meet the development requirements of energy conservation and emission reduction. Therefore, prefabricated green steel structure has been widely used in the construction of modern public buildings. Firstly, this paper summarizes and analyses the development status and main types of prefabricated green steel structure. The practical application in public building construction is also discussed. It is hoped that the results can provide a valuable reference for the construction of similar projects.

Analysis of the recent situation of real estate and credit

Real estate is one of the important pillar industries for social development, especially for populous countries. Over the past many years, the impact of credit policy changes on real estate has attracted the attention of many scholars. For more than three years, the COVID-19 has seriously affected the development of China's economy. The adjustment of bank interest rates and the adjustment of deposit reserves will have an impact on economic development, especially on the development of the real estate industry. It is necessary to further study and analyze the factors affecting real estate and credit, and analyze the actual problems in society to put forward optimization suggestions for relevant policies. This article analyzes the main problems in the real estate industry and credit from a public perspective, combined with existing publicly available data. It suggests further to optimize housing loan policies, and encourage young people to purchase houses with their own property rights, and support middle-aged people to improve housing conditions; It need further to introduce elderly care policies to enhance the consumption capacity of middle-aged and elderly people; It need further to optimize the industrial structure to promote employment for young people and increasing wage income to provide conditions for multiple births, in order to improve the population structure and slow down the impact of aging on economic development.

Changing of Land Use Type and Structure of Production in Pudong District, Shanghai, China Since Opening

Since the opening of Shanghai's Pudong New Area in 1990, Pudong has transformed its previously poor and backward appearance by introducing a large number of advanced manufacturing and service industries, making it the largest region in Shanghai in terms of economic output. Currently, due to the changing economic conditions in China, the development of the Pudong area needs to focus more on land intensification and industrial modernization, actively using stock resources for development and adjusting policies to respond to the changes in each industry. Therefore, by analyzing the changes in land area and output value of each industry in Pudong and the changes in the economic structure of Pudong, this paper concludes that the share of agriculture in the total economy of Pudong is decreasing year by year, the total amount of heavy industry exceeds that of light industry, the financial industry is growing as the pillar industry of Pudong, and the import volume is larger than the export volume. The conclusion is that Pudong should improve the level of agricultural production, increase the proportion of heavy industry in the development, improve the bank supervision policy and increase the imports to cultivate trading partners. These ideas will serve as a guide for the future quality development of Pudong and as a reference for new urban districts in domestic and foreign cities.

A study on the impact of the carbon emissions trading policy on the mining industry based on Porter hypothesis

In order to take Chinese actions and contribute Chinese wisdom to the fight against global climate change, China launched the carbon emissions trading policy (CETP) in 2011, thereby accumulating advanced experience in utilizing market mechanisms to reduce CO2 emissions and help reduce pollution. Mining is an irreplaceable pillar industry of the national economy. In the context of China's economic development shifting from high-speed growth to high-quality development, there is an urgent need to promote green and low-carbon development in the mining industry. The mining industry consumes a lot of energy and generates a lot of carbon emissions during extraction and processing. The CETP, which is one of the important regulatory tools for reducing carbon, will certainly have a huge impact on the green, low-carbon development of the mining industry. We use relevant data from 31 provinces and regions in China from 2006 to 2019, takes the CETP introduced in 2011 in seven provinces and cities as a quasi-natural experiment, and applies the difference-in-difference model (DID) to explore the Porter effect of the CETP on the mining industry. The robustness of the predictions is measured using the placebo test, the test of the alternative variable, and the test of the exclusion of the relevant policies in the same period. The results show that the CETP significantly reduced the business performance of the mining industry and did not increase the green total factor productivity (GTFP) of the mining industry but increased the level of science and technology innovation (STI) in the pilot provinces. That is, the impact of the CETP on the mining industry is consistent with the weak Porter hypothesis. The study results show that improving the CETP will significantly promote the realization of China's mining industry's green, low-carbon, and high-quality development. The state should support and subsidize mining enterprises that meet environmental regulation standards and increase their motivation to protect the environment. The government should increase environmental enforcement to ensure the effective implementation of the CETP. Mining enterprises should promote scientific and technological innovation and enhance their technological innovation capacity.

Transmission of risk to China's construction industry due to international interest rate fluctuations

PurposeUnder the trend of global economic integration and the new context of stagflation, frequent fluctuations in international interest rates are exerting far-reaching impacts on the world economy. In this paper, the transmission mechanism of the impact of fluctuations in international interest rates (specifically, the American interest rate) on the bankruptcy risk in China's pillar industry, the construction industry (which is also sensitive to interest rates), is examined.Design/methodology/approachUsing an improved contingent claims analysis, the bankruptcy risk of enterprises is calculated in this paper. Additionally, an individual fixed-effects model is developed to investigate the mediating effects of international interest rates on the bankruptcy risk in the Chinese construction industry. The heterogeneity of subindustries in the industrial chain and the impact of China's energy consumption structure are also analysed in this paper.FindingsThe findings show that fluctuations in international interest rates, which affect the bankruptcy risk of China's construction industry, are mainly transmitted through two major pathways, namely, commodity price effects and exchange rate effects. In addition, the authors examine the important impact of China's energy consumption structure on risk transmission and assess the transmission and sharing of risks within the industrial chain.Originality/valueFirst, in the research field, the study of international interest rate risk is extended to domestic-oriented industries. Second, in terms of the research content, this paper is focused on China-specific issues, including the significant influence of China's energy consumption structure characteristics and the risk contagion (and risk sharing) as determined by the current development of the Chinese construction industry. Third, in terms of research methods a modified contingent claim analysis approach to bankruptcy risk indicators is adopted for this study, thus overcoming the problems of data frequency, market sentiment and financial data fraud, which are issues that are ignored by most relevant studies.

The Predicament and Countermeasures of Rural Cultural Endowment Development Under the Vision of Rural Revitalization

Manufacturing industry is the pillar industry of the national economy and the foundation of a country's economic and social development. As the region with the fastest economic development and the largest economic aggregate in China, the development of the Yangtze River Delta has attracted extensive attention from all walks of life since it was listed as a national strategy in 2018, and the manufacturing production level is in the leading position in the country. In the context of the rural revitalization strategy, with the continuous promotion of the rural elderly service capacity, many problems have been solved. To put it simply, cultural endowment can be understood as a positive concept of endowment, which not only ADAPTS to people's development and life, but also pays more attention to the spiritual needs of the elderly. At the same time, with the emergence of the "new and old" group, the increasing number of the group also promotes the development of cultural endowment to a certain extent. In this regard, it is necessary to make a comprehensive and detailed analysis of the current difficulties in the development of rural cultural endowment, and formulate targeted strategies, so as to make the rural cultural endowment into a new development mode.

Accounting Information Leakage in Iron and Steel Industry

This study explores the issue of accounting information misstatement in the steel industry. As an important pillar industry of the national economy, accounting information in the steel industry plays a crucial role in driving economic development and decision-making processes. However, in practice, accounting information misstatement is common in steel enterprises, causing financial management and regulatory challenges. This paper aims to reveal the reasons and mechanisms behind accounting information misstatement in steel enterprises, examine its impact on decision-making, and propose effective countermeasures. Through empirical research on steel enterprises, this study identifies the potential risks and negative effects of accounting information misstatement on decision-making and provides recommendations for improving internal control and strengthening audit supervision. This paper provides important references and guidance for steel enterprises and enriches the theory and practice of accounting information misstatement research.

Real-Time Energy Consumption Sensing System in SMT Intelligent Workshop

How to ensure the "carbon peaking and carbon neutrality" goal is a crucial problem for China with good performance, low cost and limited time. As a pillar industry, the manufacturing industry need offer more great potential helps. In this paper, for the intelligent workshop, firstly, an energy consumption architecture, based on mutual inductance sensing technology & a multi-granularity production line energy consumption modeling, is put forward. Secondly, the device-level sensing technology demonstrates the detailed implementation for the multi working condition machines whose power is unknown. And then, the research devoted the basic aspects of the proposed multi-granularity production line energy consumption modeling and summarized the implementation elements of 3-matrix (the attribute attributes, power attributes and cumulative timing attributes). Above the 2 sections, the robot and SMT production lines case studies are presented separately. Results show that the architecture can effectively sense and model the energy consumption of the devices and the workshop, which provides an available method for the fine management and control of energy consumption and energy efficiency. Through this study, we hope to provide some reference ideas for future researchers.

Has China’s Free Trade Zone policy promoted the upgrading of service industry structure?: Based on the empirical test of 185 prefecture-level cities in China

As the pillar industry of China’s national economy, the service industry has always experienced a lag in structural upgrading. As an important measure of China’s institutional innovation, China’s Free Trade Zone (FTZ) policy is of great significance for promoting the development of the service industry. Based on the panel data of 185 prefecture-level cities in China from 2010 to 2019, this paper empirically tests the impact of the FTZ policy on the upgrading of service industry structure by using the progressive difference-in-differences model. The results show that the FTZ policy can promote the upgrading of service industry structure, and the effect is enhanced with the extension of time. The heterogeneity test shows that the impact of the FTZ policy on the structural upgrading of the service industry is mainly reflected in promoting the development of the information service industry as well as the leasing and business service industry. The transmission mechanism test shows that the FTZ policy can promote the structural upgrading of the service industry by improving the level of trade facilitation and investment facilitation.

Decomposition and decoupling analysis of carbon emissions in China's construction industry using the generalized Divisia index method

As the pillar industry of the national economy, the construction industry contributes to economic growth while consuming large amounts of energy and generating carbon emissions. This study adopted the generalized Divisia index method (GDIM) to decompose carbon emissions in the construction industry (CECI) of China and its 30 provinces. A decoupling effort index based on factor decomposition was constructed to analyze the drivers of changes in the CECI and decoupling states during 2000–2020. The results were as follows. (1) The output scale was the main driver for increasing CECI, whereas the carbon intensities of area and output were the largest contributors to decreasing CECI. (2) The national construction industry showed expansive negative decoupling during the 10th–13th FYPs (Five-Year Plans). The decoupling states of provinces showed significant spatial and temporal differences, with most provinces showing negative decoupling and the number of decoupled provinces peaking in the 12th FYP. (3) The scale effect was the key inhibiting factor in the decoupling process of most provinces, while the intensity effect was the main promoting factor, and the efficiency effect was weak. The inhibitory effect of scale gradually weakened, while the promoting effect of intensity increased. Overall, this study expands on current research related to the driving factors of CECI and provides valuable insights into the low-carbon development of the construction industry in other emerging countries.

Marine fishing and climate change: A China's perspective on fisheries economic development and greenhouse gas emissions

Consistent greenhouse gas (GHG) emissions have induced irreversible impacts on ocean health, requiring urgent action to ensure the green development of the ocean. Marine fishing, a pillar ocean industry, is a major GHG emissions contributor to the ocean because of its heavy reliance on fuel combustion. However, the increasing GHG emissions from marine fishing is an easily overlooked but essential issue in China. This study offers a diverse perspective by integrating the concepts of total carbon emissions (TC), carbon intensity (CI), and per capita carbon emissions (PC) as indicators into calculation and discussion. To better understand the relationship between GHG emissions and economic development in marine fishing, a comprehensive framework is developed by combining the environmental Kuznets curve, the Tapio elasticity index, and the decomposition model. Results indicated that (1) GHG emissions increased from 16.479 million tons in 2001 to 18.601 million tons in 2020, in which trawlers and gillnetters are the main sources in fishing operations. (2) Compared with TC and PC, CI has been relatively affected by COVID-19 in 2020. (3) GHG emissions and gross marine fishing product (GFP) presented an inverted U-shaped relationship in China; a downward trend came in the 13th Five-year Plan period (2016–2020). (4) Most provinces strongly decoupled GFP and CI. Still, PC and TC need more effort to decouple. (5) GHG emissions promoted by an industry structure driven, though carbon intensity and industry scale aid in GHG emissions reduced.

The positive influence of social psychology on the treatment of manic college students

BackgroundNowadays, tourism has become an important pillar industry of national economic development. However, among college students majoring in tourism, some patients with mania have violent mood swings, and they are quickly troubled by pressure and anxiety, which brings certain troubles to their academic and career development. It is essential to study the treatment of manic college students in tourism majors.Subjects and MethodsIn the experiment, 60 college students with common mania were selected as the research objects, and 30 were chosen as the experimental group. The treatment training mode of tourism management professionals under social psychology was adopted for half a year. The other 30 college students were used as the control group, and the traditional training mode of tourism management professionals was adopted for six months of treatment training.ResultsThe data were assessed using the irritability component of the Stanford Acute Stress Response Questionnaire (SASRQ), with higher scores indicating greater mania. The results showed that most undergraduates in the experimental group tended to be emotionally stable and less affected by stress and anxiety, with a comprehensive score of 10. However, more than half of the students in the control group still had overreaction and mania, and the total score was 19 points.ConclusionsThe results of this study will provide a valuable reference for the treatment of manic college students in tourism majors and provide specific guiding significance for the training of tourism management professionals.

The New Mode of Hotel Management under the Background of Low-carbon Economy

Tourism as the pillar industry of the tertiary industry with environmental protection and high yield of the characteristics of the market praise and recognition, with the continuous expansion of China's tourism industry scale, the corresponding series of ancillary industries with the development. Hotel as the main tourism subsidiary industry with the development of the tourism industry scale growing, and under the background of resource-conserving society gradually formed a low carbon tourism perspective, the corresponding hotel need in the low tourism perspective to build a new management mode, clear the prospect of low carbon tourism development and present situation, and put forward new requirements for hotel management, combined with the status of the current tourism management, found the problems and put forward the corresponding countermeasures, to ensure that the hotel management mode conforms to the low carbon tourism perspective of industry demand.

A novel multivariate time-lag discrete grey model based on action time and intensities for predicting the productions in food industry

The food industry is a pillar industry and plays an important role in the development of China's national economy. In view of the complex environments and the characteristics of fluctuating development in which the Chinese food industry are located, this paper delves into the mechanism of action of relevant factors on the system behavior and proposes a grey prediction model based on action time and intensities considering the widespread existence of time-lag effects that is applicable to the prediction of the food industry. Firstly, considering the action time and intensity of the factors, this paper introduces the action duration, the parameters of time lag and intensity coefficient to expand the multivariate discrete grey prediction model. Secondly, the bidirectional grey A-S (Area-Slope) comprehensive relational model is used to calculate the degree of correlation between relevant factors acting on time-effect sub-sequence and the system behavior sequence under different action durations and time lag, to identify the driving factors and estimate their action durations and time lag. Then, the driving factors are incorporated into the grey prediction model based on action time and intensities, and the structural parameters and intensity coefficients of the model are estimated by using the least square and particle swarm algorithm. Finally, by fitting and predicting two examples in the food industry, the results of the proposed novel model are compared with those of six other prediction models to verify effectiveness. The results demonstrates that the prediction accuracy of the proposed model is better than those of other grey models in time-lag data sequences.

Analysis of the Current Situation, Problems and Countermeasures of China's Petrochemical Industry

The petrochemical industry is a pillar industry of China's national economy, which is related to people's food, clothing, housing and transportation. At present, China's petrochemical industry is large in scale and developing at a fast pace. However, influenced by epidemics and geopolitics, the petrochemical industry is operating under increased pressure. This paper starts from the current situation of China's petrochemical industry, analyses a series of problems that exist in the development process of China's petrochemical industry, and proposes corresponding solutions. The current industrial structural contradictions in China's petrochemical industry are so prominent that it is difficult to meet the needs of key national construction projects. At the same time, the long-standing problem of industry monopoly is not conducive to fair competition in China's petrochemical market. In addition, the petrochemical industry needs to reverse the inherent prejudice of serious environmental pollution and frequent safety accidents in the minds of the people. Therefore, accelerating the upgrading and optimisation of traditional industries, appropriately deregulating the market, adhering to green and low-carbon development and establishing a sound safety management system can effectively solve the current difficulties faced by China's petrochemical industry.

The competitiveness analysis of Chinese automobile industry based on Improved Porter Diamond Model

With the rapid development of Chinese automobile industry, it has become one of the pillar industries of the national economy, which plays an increasingly important role in the rapid growth of the national economy. This paper aims to investigate the competitiveness of Chinese automobile industry in different provinces and cities and to quantify the core competitiveness. Improved Porter Diamond Model is adopted to evaluate the factors that affect the Chinese automobile industry, including Industrial structure, Production factors, Demand conditions, Related and supporting industries. The data used for the analysis mainly comes from China Automobile Yearbook. Entropy Method and TOPSIS are applied to calculate the weights of each factor and evaluate the quality level of the indexes. According to the analysis, Guangdong, Jiangsu, Shanghai, Jilin, Shandong, Hubei, Zhejiang, and Beijing have higher scores and top ranking, showing strong core competitiveness, which is consistent with the reality. Tibet, Qinghai, and Ningxia ranked last because of their geographical location, which restricted the development of their automobile industry. The model can truly rank the province’s automobile core competitiveness quantitatively, which is consistent with the reality and has high practical application value. Overall, these results shed light on guiding further exploration of the evaluation and quantification of core competitiveness in different industries.

Research on Competitive Strategy of G Automobile Company based on SWOT Analysis

Since the end of 2019, a new coronavirus epidemic has swept the world, and has had a certain degree of impact on the economies of countries around the world. In the post-epidemic period, the domestic and international environment faced by enterprises has undergone major changes, and enterprises should make timely strategic adjustments in order to adapt to changes in the external environment and improve their competitiveness. The automobile industry is a pillar industry of a country's economy, and G Automobile Company is a leader in China's independent automobile brands. Based on SWOT analysis method, this paper analyzes the internal and external environment of G Automobile Company, summarizes four competitive factors, namely opportunities, threats, strengths and weaknesses, facing G Automobile company at the present stage, and puts forward the company's development strategy plan: starting from car products, gradually enrich MPV, SUV and other series and luxury brand passenger cars; Traditional fuel vehicles and new energy vehicles develop simultaneously, and constantly improve the brand image; On the basis of the existing strategy, continue to implement the strategy of industrial merger and cooperation, enter the international platform, obtain the relevant core technologies in the industry, and establish their own competitive advantages; At the same time to adopt and strengthen the export marketing strategy, while increasing the investment in advertising, improve brand awareness, so as to further improve the core competitiveness of enterprises.

Research on Tobacco Retail Point Layout in Guanshanhu District, Guizhou Province Based on Transportation Accessibility

Guizhou tobacco planting has a long history, thanks to Guizhou's superior climate, soil and other ecological conditions and rich planting experience, laid an important position of Guizhou tobacco in China's tobacco industry, tobacco industry is Guizhou's traditional advantageous industry, but also an important pillar industry, in the economic and social development of Guizhou Province plays an irreplaceable important role, Guanshanhu District is the key work area of Guizhou Tobacco Company to arrange tobacco sales related service configuration, so for the existing tobacco network layout system in Guanshanhu District. Through the spatial layout, traffic accessibility analysis under the conditions of surrounding basic transportation facilities, and the construction of traffic time isochronous circles, the following optimization suggestions are given for the traffic layout: 1. Adjust the density of outlets to improve the efficiency of services; 2 Considering a variety of factors to help increase tobacco sales; 3.Regularly evaluate and adjust the layout; 4 Consider regional characteristics.