The Impact of The Three-Dimensional Cultivation Model on the Development of the Suzhou Tea Industry:Estimating Value of Output Per Acre and Diversified Sales Models

This article explores the impact of the three-dimensional cultivation mode on the development of the Suzhou tea industry,focusing on the diversified estimation of the value of output per acre and sales mode.It introduces the history and traditional cultivation practices of tea in Suzhou,as well as the current challenges and problems faced by the industry.An in-depth analysis was conducted on the overview and improvement plans of the three-dimensional cultivation mode,covering relevant technical methods.Based on this analysis,the impact of the three-dimensional cultivation on the value of output per acre was studied and predicted.Its potential and advantages were explored and compared with the effectiveness of traditional cultivation models.Additionally,the impact of the three-dimensional cultivation mode on sales was analyzed,examining its market adaptability and competitiveness,as well as its advantages in expanding sales channels and market coverage.The study also focused on the promoting effect of diversified sales models on the Suzhou tea industry,including direct consumption market development,tea processing product development and promotion,and the integration of tea culture and the tourism industry.To ensure sustainable development,the article evaluates the environmental impact,economic feasibility,social benefits,and farmer benefits of the three-dimensional cultivation model.Finally,the prospects for the development of the Suzhou tea industry were discussed,and the positioning and response strategies of the threedimensional cultivation model were proposed.

The Application of LM-BP Neural Network in the Prediction of Total Output Value of Agriculture

Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.

Developing Statistical Modellings to Investigate the Internal Drivers for the Trend of Output Values in the Manufacturing Industry:Evidence from Chinese Enterprises

The manufacturing industry is an important pillar of the national economy.It is of vital importance to develop statistical modellings in order to quantify the relationship between potential internal drivers and the trend of output values in the manufacturing industry.However,only a few statistical modellings have been established to investigate such associations.This study developed the correlation coefficient model and generalized linear model(GLM)to measure the single and interactive effects of the internal drivers on the changes of the output values.For the GLM,different predictive variables were developed to fit into the dataset,and the performance of the models were compared using fitness parameters.Furthermore,an industry survey dataset for 1,180 manufacturing enterprises in 2020 was used to validate the models.The use of the GLM combining land area,number of employees,scientific research input,and labor productivity may have a great potential to bolster capacity in monitoring and predicting the trend of output values in the manufacture industry.

Glory & Dream of International Necktie Metropolis with Output Value of RMB 10-Billion Yuan--On the Development of Shengzhou Necktie Industry

Status of necktie industry: industrial cluster with output of RMB 10 billionOver 1,100 necktie enterprises, more

A Probe into the Mortgage Rates of Land Contract Management Rights Based on Unified Annual Output Value

The mortgage of land contract management rights has launched a pilot project in Ningxia,Hubei,Henan,Guizhou,Chongqing and other provinces,municipalities and autonomous regions,which provides a good solution to the problem of funds for rural development and plays a huge role in promoting local rural economic development.In the mortgage financing of land contract management rights implemented in various regions,how to determine a scientific,accurate and reasonable mortgage rate of land contract management rights becomes a difficulty troubling the mortgage financing of land.On the basis of unified annual output value of land,this article uses survey method,income capitalization method,and comparison method to analyze the value of land contract management rights,and finally determine the mortgage rates of land contract management rights.

Analysis of the Dynamic Relationship among Financial Fund for Agriculture, Agricultural Output Value and Farmers' income

By using the methods of co-integration, impulse response function and variance decomposition, I conduct the empirical research on the dynamic relationship among China's financial fund for agriculture, agricultural output value, and farmers' income from the year 1978 to the year 2009. The results indicate that the government's financial fund for agriculture plays the significant role in promoting agricultural output value and farmers' income in the long run, but this role of promoting is not prominent in the short run; in the mean time, agricultural output value plays insignificant role in promoting farmers' income and the government's financial fund for agriculture; farmers' income plays the significant role in promoting agricultural output value and the government's financial fund for agriculture.

Analysis and Investigation on the Core Competitiveness of Textile and Underwear Industry in the Mainland and Taiwan of China and Myanmar under the Global Value Chain

All the way in the “area”, “comprehensive economic partnership agreement” (RCEP), Association of Southeast Asian Nations (ASEAN) free trade area, the main economic corridor construction under the background of success, the mainland and Taiwan of China and southeast Asia has established the important relations of cooperation, industries are beginning to consider labor costs, raw materials, using the regional to invest policy and market comparative advantage. This paper starts from the investigation of Topline’s core competitiveness in China and Myanmar, and focuses on the analysis of lingerie industry in China and Myanmar, and the analysis of women’s underwear industry from the perspective of global value chain (GVC). Through the data analysis of the questionnaire survey, this paper summarizes the problems existing in the current situation of the industry, uses the intermediary analysis to analyze the correlation between the two variables, reveals the role of the core competitiveness of enterprises, and uses the GVC theory to analyze the problems existing in the industry of enterprises and their causes. According to relevant theories, the optimization path of enterprise value chain is put forward.

Research on the Low-carbon-high-value Agriculture Technology in the Comprehensive Improvement of Intra-county Environment Pollution——Taking the Development of Cultivation and Breeding Industry in the Ecological Cyclic Agricultural Garden in Shaoshan Irri

The comprehensive improvement strategy of intra-county environment pollution in the city and countryside was searched.By the research method which combined the microscopic view,the macroscopic view with the dynamic perspective,the seriousness of rural water quality,soil and atmospheric pollution in Xiangxiang,Xiangtan and the surrounding areas in Shaoshan irrigated area was revealed.The control measure which was 'four-dimensional pollution in the city and countryside'—— low-carbon-high-value agriculture and the technology innovation was proposed.The low-carbon-high-value technology innovation industrialization demonstration in three parts which included the pre-production,mid-production and post-production deep-processing of cultivation and breeding industry in the ecological cyclic agricultural garden in Shaoshan irrigated area was the driving force.We tried to propel the low-carbon ecological cultivation and breeding industry which included the paddy rice,grass,tree,medicinal herbs and pig,cow,chick,duck,fish.We wanted to relieve the structural unbalance of previous cultivation and breeding industry,'cheap grain hurting the farmers' and the short-leg problem of social-economic-ecological benefit.The results showed that the low-carbon-high-value agricultural system was a poly-generation technology system which promoted the multi-level and grading utilization,saved the energy,reduced the consumption and cleaned the production based on the ecology.

Research on the Coupled and Coordinated Development of Tourism and Transport in Chengdu City

Based on a total of 16 indicators selected from the tourism and transport industries,an evaluation index system of the coupling and coordination development level of tourism and transport is constructed.The entropy value method and the coupling coordination degree model are used to conduct an empirical study on the development level and coupling coordination level of the transport and tourism industries in Chengdu City from 2011 to 2020.The results show that,on the whole,the coupling coordination degree of transport and tourism in Chengdu is poor and has been in a state of mild to moderate dysfunction.The development level of tourism lagged behind the development of transport from 2011 to 2012,and the two were in a state of mild dysfunction.However,from 2013 onwards,the development level of tourism was prioritized over the development level of transport.This shift caused the coupling coordination degree of the two industries to decline sharply to 0.23305 in 2013.The development level of the tourism industry increased again,reaching 0.34206 in 2019,which marked an improvement.Consequently,the coordination degree of the transport and tourism industries evolved from moderate dislocation to mild dislocation.Finally,the results of the empirical research are analyzed,and corresponding suggestions are put forward to promote the sustainable growth of the transport and tourism industries in Chengdu City.These suggestions aim to improve the coupled and coordinated development level of the two industries.

Research on the Coupled and Coordinated Development of Tourism and Transport in Chongqing Municipality

By examining the current status of tourism and transport research both domestically and internationally,and analyzing the development trends of Chongqing’s tourism and transport industry,this study evaluates the weight indices and performs a coupling and coordination analysis of various indicators of Chongqing’s tourism and transport industry from 2011 to 2019.The following conclusions are drawn:(1)The value of the comprehensive evaluation function for tourism is higher than that of the transport industry,indicating that Chongqing’s tourism industry is in a period of vigorous development;(2)The degree of coupling coordination development between Chongqing’s tourism and transportation industries from 2011 to 2019 is rising.As the coupling coordination stage continues to improve,the level of coupling coordination also improves,with the overall trend showing a progression from mild dysfunction to primary coordination.Based on these conclusions,corresponding countermeasures are proposed to promote the coupling coordination between tourism and transport in Chongqing,and suggestions are made for the overall improvement of the transport industry and the sustainable development of the tourism industry.

Does strict environmental regulation enhance the global value chains position of China's industrial sector?

Given the vital importance of global value chains(GVCs)position for a country's international competitiveness,this paper tries to investigate the impacts of environmental regulation on the GVCs position of China's industrial sector.Using the latest value-added decomposition method,we first measure the GVCs position of China's industrial sector from 2003 to 2014.Subsequently,both two-stage least squares(2 SLS)method with panel data and mediating effect model are employed to empirically examine the effects of environmental regulation on China's position in GVCs.The results indicate that environmental regulation has significantly upgraded the GVCs position of China's industrial sector,and the effect is more evident for the sub-sectors with originally lower GVCs position.The mediation effect test shows that increasing R&D investment is an important channel through which environmental regulation affects the GVCs position of China's industrial sector,which verifies the existence of the Porter hypothesis.Further analysis finds that the enhancement of GVCs position of China's industrial sector caused by environmental regulation is mainly achieved through reducing the backward GVCs position.

Lean Product Development Process with Design Verification Stages in the Value Stream of Automotive Industry

In the automotive industry, lean projects and innovation creation come to life by being updated under the control of systematic interdisciplinary process flows. The lean product development process that changes the shell, defined under the light of the variables created by the competitive conditions, is today measured by the value flow efficiency and the global market spread of the final product. Consequently, the lean product development approach, which aims to identify and purify all the wastes that do none value or create value to the system or cause burdens in the new product development process, is shaped by step-by-step approvals in the flow. In the main automotive industry company practices within the scope of the research (3 national, 3 international), the beginning of the concept of lean in design is to define and optimize the steps in the product development process under the value stream map. Therefore, the product function for which the customer has paid for, the function of the new product or the physical structure used to meet the needs in question, the comfort, life, experience, innovations of the scope that constitute the new product concept are planned and verified and implemented in the simplified automotive design stages at the beginning of the lean product development process. In this research, initial automotive design objectives and stages are at the focal point of the innovation and added value creation brought by the concept of “lean” approach. The research is modelled on the determination of steps that do not create added value together with the points where the flow circuits’ or stems, the process is devalued, the interdisciplinary holistic studies intensify, the information and delay begin and end in the sequential and simultaneous design validation step transition stages, which are examined under the lean approach. As a visual and virtual tool that enables the elaboration of nominal values such as the total duration of the design verification stages and the influence of interdisciplinary stakeholders or the test level of the product design with the new product added, it reveals the value flow or losses. Hence research;from innovation creation and new product design steps, which constitute the initial stages of the lean product development process, to design verification analysis, the efficiency of the automotive company processes within the scope of the research has been measured by comparing using lean automotive design techniques, methods and concepts.

Effects of Global Value Chain Position on the Carbon Emissions of Manufacturing Industry in China: An Empirical Study Based on the STIRPAT Model

Based on the input-output data from the World Input-Output Database( WIOD),the global value chain( GVC) position of China's manufacturing industry from 2003 to 2014 was calculated,and the relationship between the carbon emissions and global value chain position of China's manufacturing industry was studied based on the improved STIRPAT model. The results show that the improvement of global value chain position could significantly reduce the carbon emissions of China's manufacturing industry. In addition,foreign investment and energy structure hindered the low-carbon development of China's manufacturing industry. The effects of population size and research intensity on the carbon emissions of manufacturing industry were not significant. In the process of participating in the global value chain,China's manufacturing industry should effectively reduce carbon emissions by strengthening environmental regulation,optimizing energy structure and improving production technology.

The Impact of Outsourcing on Local Industry Upgrading: a Case of China from a Global Value Chain Perspective

This paper develops a conceptual model to assess effect of outsourcing by integrating the theories of industrial upgrading and global value chain (GVC) governance. Contrary to the widely accepted perception that outsourcing is expected to generate positive spillover in particular, the findings indicate that outsourcing has different effects in different GVC governance modes. Excess outsourcing could structurally inhibit technology and management spillovers to subcontractors within the emerging economy context. Based on a case study of the Chinese textile and apparel (T & A) industry, it is found that the Chinese T & A industry has been trapped in the captive governance relationship with foreign buyers, and at the same time is capped below the function upgrading level. Consequences of the situation and implication are then discussed.

Open Source Software Movement: A Challenging Opportunity for the Development of China's Software Industry

The software industries in developing countries are facing enormous challenges in order to grow amid fierce competition of import from the software makers in developed countries. Open source software (OSS) movement, which is a particular phenomenon in the software industries, seems to be a challenging opportunity for the developing countries that wants to move their own software industries up the value chain. This paper, using China as an example, identifies the issues that need to be addressed for the software industry, as well as the special characteristics of software products that need to be dealt with carefully. It proposes promoting OSS as a strategy the Chinese government should adopt to grow the software industry and the specific actions that should be taken.

Cross-border Urban Networks Based on Manufacturing Global Value Chain:A Study of Listed Companies in Western China

Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study uses the social network analysis method,entropy method,multi-index comprehensive evaluation method,and quadratic assignment procedure analysis method to examine the characteristics and influencing factors of the urban networks of research and development(R&D),production,and sales formed as a result of the overseas investments of listed manufacturing companies in western China.Results showed that the three types of investment networks involved multiple industry types and multiple central cities with differentiated diversity and multicentrality.The R&D urban network’s leading sub-industries were the mechanical equipment and instruments,medicine and biological products,and metal and nonmetal industries.The destination cities were mostly those home to educational and scientific research centers.The production urban network’s leading sub-industries were the mechanical equipment,instrument,and food and beverage industries.The destination cities were mostly regional central cities in developing countries.The sales urban network’s leading sub-industries were the mechanical equipment and instrument,metal and nonmetal,and petrochemical and plastics industries.The destination cities were numerous and scattered.In addition,the R&D urban network easily formed specialized clusters,core nodes easily controlled the production urban network,and individual nodes did not easily control the sales urban network.Technological and economic system advantages greatly impacted the three network types.Considering the different influencing factors,this study suggests optimizing the institutional investment environment to narrow the institutional gap,adjusting and optimizing the investment layout to expand overseas markets,and increasing R&D funds to stimulate technological progress and overseas investments in western China.

Measurement of International Competitiveness of Clothing Industry under the Background of Value Chain Reconstruction

Relying on cheap labor cost advantage,China is locked in the low-end processing link of the global value chain and obtains a lower profit share.With the deepening of the international division of labor,changes in the distribution of national interests and the spread of anti-globalization in some developed countries,the global value chain is undergoing a new round of large-scale reconstruction and emerging economies are trying to penetrate and extend to the high end of the global value chain.Based on the theory of industrial upgrading and global value chain,this paper focuses on the current development of Chinese apparel industry,the mechanism,development and problems of global value chain reconstruction,analyzes the relevant elements in the apparel industry value chain reconstruction,and proposes the application of data envelopment analysis(DEA)competitiveness model in the value chain reconstruction of apparel enterprises.We use the CCR(C2R)model to simulate the improvement of production efficiency.Finally,we put forward corresponding countermeasures and suggestions for the value chain reconstruction from the perspective of improving product competitiveness.

Prediction of Total Output Value of Construction Industry in Jiangxi Province Based on Grey Prediction Model

In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.

The Research of Mutual Economic Relations of the World Countries on the Basis of Input-Output Table

＂Input-output＂ table which was designed for solution of mutual relation （impact） problem is a widely applied tool in the world for conducting economic analysis and forecasting. One of the most important problem of today＇s world is to prevent financial-economic crises in several countries of the world and especially in Eurozone countries where it is still ongoing. Input-output balance tables were prepared by modifying input-output table based on relevant economic indicators of the biggest countries of economy in the world as well as simulations were conducted by designing several balance models （mutual impact of GDP and change in general output of countries, mutual impact of added value and prices, mutual impact of GDP and work places）. Level of coverage of relevant indicators used in analysis on the countries of the world were tested on the basis of statistic methods and assessed. It was identified that, level of confidence of the coverage in designed model on world economy is higher than 95%. These models enable to analyze and forecast possible changes in world economy caused by changes which took place in economic conjecture of other big countries of the world, especially in USA, Japan, Germany, and China. It should be noted that, model＇s system was automatized in EXCEL system with the purpose of simplifying simulations and conducting analysis and increasing efficiency on the usage of models.

Global Value Chains in the Era of 4IR: New Paradigm of Business Models for SMEs

This paper presents a brief literature review of previous studies methodologies,models,and contexts in studying firms’upgrading in Global Value Chains(GVCs).The key context of this paper is set within Fourth Industrial Revolution(4IR).Through the literature review,this paper offers to identify the opportunities of theoretical novelty and ways to elaborate on understanding firm dynamics in Global Value Chains in the context of 4IR.The approach based on Business Model(BM)innovations and new forms of organizing for business(such as platforms)is used to synthesize from previous research findings and build on to newer explanations of firms’entry,learning,and upgrading within GVCs.