E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Transition from China-Made to China-Innovation "

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 1 December 2018

Special Issue Editors

Guest Editor
Dr. Jeffrey Yi-Lin Forrest

School of Business, Pennsylvania State System of Higher Education (Slippery Rock campus), USA
E-Mail
Interests: industrial revolution; investment; market dynamics; systems research; uncertainty
Guest Editor
Dr. Zaiwu Gong

Institute of management science and technology, College of economics and management, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
E-Mail

Special Issue Information

Dear Colleagues,

China has been the largest manufacturing nation in the world, but not the strongest nation. Currently, China faces internal pressures such as economic downturn, insufficient scientific and technological innovation, low energy efficiency, serious environmental pollution, rising labor costs, and others. At the same time, the strategy of re-industrializing traditional manufacturing power, as well as external competition squeeze such as much lower costs of various production factors of the emerging manufacturing nations, also greatly affects Chinese manufacturing. Facing the time of opportunity of the Internet+ intelligent manufacturing, this Special Issue will include research papers that comprehensively analyze

  • The paths and countermeasures of the strategic upgrade from China-made to China innovation, and

  • The tactics and strategies for Chinese manufacturing sector to meet international challenges,

in the following four dimensions: Economy, science and technology, energy, and environment, by employing statistics, optimization, strategic analysis, and other methods. More specifically, this Special Issue will include papers that

  • Comprehensively evaluate the current state of China’s manufacturing industry, forecast the industry’s overall development trend, analyze the connotation of “new manufacturing industry”, develop the system of evaluation criteria, and explore the deep-rooted problems existing in the development of China’s manufacturing industry; or

  • Carefully analyze the economic, scientific/technological, energy, environmental, political, and other critical factors that affect China’s manufacturing industry, and pinpoint out the macroeconomic factors that shake the future development of this industry; or

  • Investigate comparatively the development trajectories of the manufacturing powers, such as the United States, Germany, Japan, etc., analyze the advantages and disadvantages of emerging manufacturing countries, such as India and South Korea, in order to establish cooperative paths by learning from the international experiences and drawing lessons from the past developments; or

  • Study the effect of such strategies as informatization, intelligentization, Internet+ , etc., on the transition from China-made to China-innovation.

All papers selected for this Special Issue will be subject to a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, developments, and applications.

Keywords:

  • Manufacturing nation

  • Internet+ intelligent manufacturing

  • Strategic upgrade

  • New manufacturing industry

  • Development trajectories of the manufacturing powers

  • Emerging manufacturing country


Dr. Jeffrey Yi-Lin  Forrest
Dr. Zaiwu  Gong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Manufacturing nation

  • Internet+ intelligent manufacturing

  • Strategic upgrade

  • New manufacturing industry

  • Development trajectories of the manufacturing powers

  • Emerging manufacturing country

Published Papers (4 papers)

View options order results:
result details:
Displaying articles 1-4
Export citation of selected articles as:

Research

Open AccessArticle A Novel Grey Wave Method for Predicting Total Chinese Trade Volume
Sustainability 2017, 9(12), 2367; doi:10.3390/su9122367 (registering DOI)
Received: 7 November 2017 / Revised: 13 December 2017 / Accepted: 15 December 2017 / Published: 18 December 2017
PDF Full-text (4576 KB) | HTML Full-text | XML Full-text
Abstract
The total trade volume of a country is an important way of appraising its international trade situation. A prediction based on trade volume will help enterprises arrange production efficiently and promote the sustainability of the international trade. Because the total Chinese trade volume
[...] Read more.
The total trade volume of a country is an important way of appraising its international trade situation. A prediction based on trade volume will help enterprises arrange production efficiently and promote the sustainability of the international trade. Because the total Chinese trade volume fluctuates over time, this paper proposes a Grey wave forecasting model with a Hodrick–Prescott filter (HP filter) to forecast it. This novel model first parses time series into long-term trend and short-term cycle. Second, the model uses a general GM (1,1) to predict the trend term and the Grey wave forecasting model to predict the cycle term. Empirical analysis shows that the improved Grey wave prediction method provides a much more accurate forecast than the basic Grey wave prediction method, achieving better prediction results than autoregressive moving average model (ARMA). Full article
(This article belongs to the Special Issue Transition from China-Made to China-Innovation )
Figures

Figure 1

Open AccessArticle Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry
Sustainability 2017, 9(12), 2080; doi:10.3390/su9122080
Received: 7 October 2017 / Revised: 31 October 2017 / Accepted: 6 November 2017 / Published: 27 November 2017
PDF Full-text (960 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
This study utilizes the Data Envelopment Efficiency (DEA) model to assess input–output efficiency from two perspectives. First, not considering the distribution of interval data, we introduce an adjusted parameter to transform interval data to determination data. Second, by contrast, we take into account
[...] Read more.
This study utilizes the Data Envelopment Efficiency (DEA) model to assess input–output efficiency from two perspectives. First, not considering the distribution of interval data, we introduce an adjusted parameter to transform interval data to determination data. Second, by contrast, we take into account the distribution characteristics of interval data and test the DEA model with interval data based on linear uniform distribution and normal distribution with uncertainty. Based on the normal distribution DEA evaluation model, this paper aims to evaluate the input–output performance of the manufacturing industry with the constraint of environmental pollution in the Yangtze River Delta (YRD) region, China. Research has shown that the optimal solution of the normal distribution model is better than that of linear distribution. Therefore, it is imperative to adopt an appropriate method to evaluate the energy and environmental efficiency of this region. Full article
(This article belongs to the Special Issue Transition from China-Made to China-Innovation )
Figures

Figure 1

Open AccessArticle Going Public and Industrial Upgrading of Traditional Clusters in Developing Countries: Rethinking the Dynamics of the ‘Jinjiang Model’ in China
Sustainability 2017, 9(11), 2133; doi:10.3390/su9112133
Received: 24 September 2017 / Revised: 24 September 2017 / Accepted: 24 September 2017 / Published: 19 November 2017
PDF Full-text (982 KB) | HTML Full-text | XML Full-text
Abstract
Extant literature concerns about industrial upgrading in developing countries, and stresses the importance of joining global production networks (GPN). Taking the perspective of the updating approach of GPN theory, this paper selects the case of China to combine local industrial upgrading with financial
[...] Read more.
Extant literature concerns about industrial upgrading in developing countries, and stresses the importance of joining global production networks (GPN). Taking the perspective of the updating approach of GPN theory, this paper selects the case of China to combine local industrial upgrading with financial activities, and explores how going public triggers industrial upgrading in developing countries. In 2015, semi-structured interviews were conducted with 36 listed firms and their related partners in Jinjiang, a county-level city in China. The findings indicate that local lead firms in developing countries have been increasingly involved in the global financial market by going public, which in turn provides these countries with opportunities of industrial upgrading. However, it does not necessarily guarantee industrial upgrading. Whether or not going public can bring about industrial upgrading depends mainly on intrafirm coordination, reconfiguration of interfirm relationships, and extrafirm bargaining with local governments. This case study suggests that finance be integrated into GPN theory as some scholars suggest, and the impacts of local lead firms in developing countries on the dynamics or reconfiguration of GPN be taken consideration, especially in some specific sectors. Full article
(This article belongs to the Special Issue Transition from China-Made to China-Innovation )
Figures

Figure 1

Open AccessArticle Forecasting the Energy Consumption of China’s Manufacturing Using a Homologous Grey Prediction Model
Sustainability 2017, 9(11), 1975; doi:10.3390/su9111975
Received: 13 September 2017 / Revised: 24 October 2017 / Accepted: 27 October 2017 / Published: 31 October 2017
PDF Full-text (1247 KB) | HTML Full-text | XML Full-text
Abstract
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and this has become a major bottleneck affecting the sustainable development of China’s economy. This paper deduces and constructs a homologous grey prediction model with one variable and one first order
[...] Read more.
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and this has become a major bottleneck affecting the sustainable development of China’s economy. This paper deduces and constructs a homologous grey prediction model with one variable and one first order equation (HGEM(1,1)) for forecasting the total energy consumption of China’s manufacturing based on the Grey system theory. Both parameter estimation (PE) and the deduction of the final restored expression (FRE) of the HGEM(1,1) model are all from the time response expression of the whitenization differential equation, which solves the ‘non-homologous’ defects of PE and FRE with traditional grey prediction models. HGEM(1,1) has good performance and can unbiasedly simulate a homogeneous/non-homogeneous exponential function sequence and a linear function sequence. Then, the HGEM(1,1)model is used to simulate and forecast the total energy consumption of China’s energy manufacturing, and the results show that the comprehensive performance of this model is much better than that of the classic Grey Model with one variable and single order equation, GM(1,1) for short and the frequently-used Discrete Grey Model with one variable and single order equation, DGM(1,1) for short. Finally, we forecast the total energy consumption of China’s manufacturing industry during the years 2018–2024. The results show that the total energy consumption in China’s manufacturing is slowing down but is still too large. For this, some measures, such as optimizing the manufacturing structure and speeding up the development and promotion of energy saving and emission reduction technologies, to ensure the effective supply of energy in China’s manufacturing industry are suggested. Full article
(This article belongs to the Special Issue Transition from China-Made to China-Innovation )
Figures

Figure 1

Back to Top