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The focus of this paper is to provide an assessment of the impact of imports from China on Indian manufacturing and capture the multifarious dimensions of India–China bilateral trade flows. By examining the comparative disadvantage imports (RCA<1), the paper critically examines their significance on India's industry output and performance and underlines factors beyond trade competitiveness.

For examining the impact of India's manufacturing imports from China on industry performance, four stages of analysis is adopted. First, the imports with RCA <1 have been identified. For these, BRCA was also computed. Second, trends in industry performance associated with high imports from China. Third, for estimating the impact of imports on industry output, augmented production function was specified and estimated with imports from China as a potential determinant. And fourth, comparison of industry performance between India and China.

The impact of imports from China on industry output is positive and significant. A 1% increase/decrease in the share of China in world imports will result in output increasing by 0.31%. The rise in imports from China seems to be on account of non-availability of necessary intermediate and capital goods domestically, thereby making these imports critical and complementary for production. This negates the threat perception of imports from China.

The paper recognizes the need for understanding the firm heterogeneity in import decisions and R&D intensity of imports. Across industries, the drivers for firms' decisions to import are “learning by importing’ and “self-selection” (Camino-Magro et al., 2020). Also, another important dimension at the firm-level analysis is the elasticity of substitution between foreign and domestic inputs. If the elasticity of substitution is low then high import barriers will lead to reduction of domestic output. These firm-level issues are important for effective policy interventions.

One, the inward looking focus of the industry which is exhibited in low export intensity will not provide the necessary impetus to propel the manufacturing sector to a higher technology frontier and translate the productivity gains to export competitiveness. Two, unless the domestic manufacturing is propelled from the current low/medium technology to high technology products, the current policy thrust on “self-reliance” cannot be realized.

Analysis is based on manufacturing imports with RCA<1 from China thereby underlining factors beyond trade competitiveness not covered by RCA methodology. Complementing the quantitative analysis with economic policy developments in China and India and contrasting the same has provided insights into the real factors determining India–China bilateral trade.

This study aims to provide an estimation of carbon dioxide (CO₂) emission abatement costs in China’s industry sector during the period of 2006-2010, and additionally provide an ex-post estimation of CO₂ abatement cost savings that would be realized if carbon emission permits trading among different industry sectors of 30 provinces in China during the same period were allowed, to answer the question that whether the industrial carbon emission abatement cost can (partially) be recovered from carbon emission trading in China.

The joint production framework associated with the environmental technology is utilized for formulating the models for estimating abatement costs and simulating emission permits trading scheme. Several data envelopment analysis-based models that could deal with both the desirable and undesirable outputs within the above framework are utilized for abatement cost saving estimation. The weak disposability assumption and variable returns to scale assumption are applied in the modelling.

In China’s industry sector, during 2006-2010, the estimated CO₂ emission abatement cost was 1,842 billion yuan, which accounts for 2.45 per cent of China’s total industrial output value; the emission abatement cost saving from emission permits trading would be 315 billion yuan, which accounts for 17.12 per cent of the emission opportunity abatement cost; and additional 1,065.95 million tonnes of CO₂ emission reductions would be realized from emission permits trading, and this accounts for 4.75 per cent of the total industrial CO₂ emissions.

The estimation is implemented at the regional level, i.e. the emission permits trading subjects are the whole industry sectors in different Chinese provinces, because of the data limitation in this study. Further estimation could be implemented at the enterprise level to provide a deeper insight into the abatement cost recovery from emission permits trading.

The estimation models and calculation process introduced in this study could be applied for evaluating the efficiency and effectiveness of pollutant emission permits trading schemes from the perspective that whether these market-based abatement policy instruments help to realize the potential abatement cost savings.

To the best of the authors’ knowledge, no study has provided the estimation of CO₂ emission abatement cost and the estimation of CO₂ abatement cost saving effect from emission permits trading for China’s industry sector. This study provides the first attempt to fill this research gap.

The purpose of this paper is to explore patterns as well as determinants of regional specialisation in China's biopharmaceutical industry. It identifies and characterizes different types of enterprises engaged in the biopharmaceutical sector in terms of their business organisation and regional set up.

Based on data compilations not yet employed in academic analysis as well as personal interviews in China, structural determinants and driving forces of development are analysed against the background of the innovation systems literature.

The geography of innovation in China's biopharmaceutical industry is determined by both, government policy and the strategic location decisions of entrepreneurs. While local‐government support of firm clustering has contributed to a dispersion of industrial activity throughout China, the firms” networks are spanning clusters. Effectively, domestic firms are turning into multi‐regional companies locating activities such as R&D and manufacturing at different clusters.

The paper adds to the literature in so far as it throws light on an until now under‐researched field of China's innovation system. It identifies the concept of multi‐regionalism among domestic non‐state enterprises as an important parameter for understanding success and regional distribution of the industry.

The purpose of this paper is to review the development of the processed feed industry in China through the lens of one of its most successful and earliest entrants, the Hope Group's “New Hope” enterprise. With the feed industry in China now facing a transition phase, the paper looks at the root causes of the problems facing China's feed industry, analyzes the transition strategy undertaken by New Hope and others, and discusses the opportunities for industry growth in the world's most populous country, where urbanization and standards of living are still on the rise and per capita use of feeds is still low by world standards (e.g. one‐fifth of that in the USA). The case also addresses the potential industry impact of mandates outlined in China's Twelfth Five‐Year Plan, such as the imperative to modernize agriculture and improve peasants’ economic well‐being.

The paper draws on expert knowledge of the CEO of New Hope Group's sister agribusiness company, West Hope Group, as well as New Hope Group annual reports and global economic data.

The study reveals future challenges to China's processed feed industry as being price of labor, raw materials, and energy rises; companies undergoing integration; and established companies shifting from product marketing to service marketing models.

This paper is useful for academics interested in industry perspectives, policymakers, practitioners, and business people considering investment in China.

How China's processed feed and breeding industries modernize will impact the economic well‐being of each link in the nation's agribusiness chain (from small producers to conglomerates), the cost and quality of animal‐based proteins, and the world's “food vs. fuel” conflicts.

The paper offers a rare insider's look at one of China's largest private companies and a global player in agribusiness.

This study aims to examine the venture capital (VC) industry in China. It has demonstrated a history of high growth with significant variations over time. The authors have examined the trends and determinants of VC investments in China over a 20-year period from 1995 to 2014. They find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. initial public offerings (IPOs), interest rate, price-to-earnings ratio, etc.). They also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk levels by allocating more capital to later-stage investments and securing more deals with later-round financings. However, after the 2008 global financial crisis, the China’s venture industry has recovered faster compared to the US counterpart response.

The authors first perform trend analysis of VC investments at an aggregate level, by stages of development, and across industry from 1995 to 2014.To test H1 and H2, the authors use multiple regression models with lagged explanatory variables. To test H3, the authors use univariate tests to compare the measures of VC investments at an aggregate level, stage funds ratios, stage deals ratios and financing series ratios during both a five-year and seven-year time windows around the 2007 A-Share stock market crash and the subsequent financial crisis.

The development of the VC industry in China has demonstrated a history of high growth with significant variation over time. The authors find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. IPOs, interest rate, price-to-earnings ratio, etc.). The authors also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk by allocating more capital to later-stage investments and securing more deals with later-round financings. However, the China VC industry has recovered faster compared to the USA just after the 2008 global financial crisis.

There are also limitations in the study. The VC data in China in the earlier 1990s might not be very reliable due to the quality of statistics. Therefore, the trend analysis and discussions mainly focus on the time after 2000. Also, the authors cannot find VC financing sequence data for the analysis. Second, there is no doubt that the policy impact from Chinese transforming economic system and government policies on its VC industry is substantial (Su and Wang, 2013). However, they cannot find an appropriate variable to be included in the empirical models to consider this effect. Further study on this area would provide meaningful information. Third, although the authors have done comparison study between the VC industry in China in this study and the VC industry in the US documented in Ning et al. (2015) and discussed some interesting findings, more in-depth research in this area will be very useful.

The findings have meaningful implications for VCists and start-up companies seeking equity financings in China. VCists should closely monitor macroeconomic and market conditions to make appropriate adjustments to their risk and investment strategies. Entrepreneurs seeking equity financings for their business could also monitor the identified macroeconomic and market indicators, which can help them with their timing and to negotiate a better equity financing deal. VC financing is more likely to succeed when key macroeconomic and market indicators become favorable.

This paper contributes to the literature by testing the supply and demand theory on the VC market proposed by Poterba (1989) and Gompers and Lerner (1998) from the macroeconomic perspective using 20 years’ VC data from China. The authors also examine how the 2007 A-Share stock market crash and the subsequent financial crisis affected VCists to adjust their risk levels and investment strategies. It provides useful information for international academia and policymakers to understand the quick rise of China VC industry. The authors also find that the macroeconomic drivers of VC industry are somewhat different under different economic systems.

In this paper, we examine the comparative advantage of Korea and China while focusing on their technology level. The three digit SITC (Standard International Trade Classification) data is classified by technology level and the revealed comparative advantage (RCA) is derived from 1992-2009 by using UN COMTRADE data. For careful interpretation of the comparative advantage and technology levels, we also examined intra-industry trade and unit values of bilateral Korea-China trade, and semi-conductor industry technology. We found that the revealed comparative advantage has moved from low technology products to high technology products in Korea. China still maintains a comparative advantage in low technology products such as textiles and clothing, but at the same time, China’s high and medium-high technology products have recently gained a comparative advantage. The perception that China only has a comparative advantage for labor intensive products with low technology should be changed based on our analysis. However, China’s advancement in technology should not be overestimated. When comparing the unit value of basic materials of Korea’s and China’s exports, we found that Korea’s export product prices are on average higher than that of China’s, although the gap is reducing. A wider technology gap between Korea and China still exists in the semi-conductor industry, which is one of the most advanced high technology industries throughout the world.

This study aims to discuss the development of the semiconductor industry in China and analyzes it through current studies about the catch up of latecomers in newly industrialized countries (NICs).

Use the case study approach to explore and discuss the development track of the Chinese semiconductor industry and the catch up experience of Huang Hong NEC in China.

The experience of NICs can explain the catch up of semiconductor latecomers in China. However, the role of government has changed along with the whole development of the China semiconductor industry; external pressure may influence the pace of development and the span of control of the China Government for future catch ups.

The study focuses on one single case, which may not reflect the individual differences appeared in different firms in China.

This study contributes to our knowledge about the catch up of latecomer firms in an emerging market and verifies classical arguments about the experience of NICs through the experience of China's semiconductor industry.

With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

This chapter estimates heterogeneous productivity growth and spatial spillovers through industrial linkages in the United States and China from 1981 to 2010. The authors employ a spatial Durbin stochastic frontier model and estimates with a spatial weight matrix based on inter-country input–output linkages to describe the spatial interdependencies in technology. The authors estimate productivity growth and spillovers at the industry level using the World KLEMS database. The spillovers of factor inputs and productivity growth are decomposed into domestic and international effects. Most of the spillover effects are found to be significant and the spillovers of productivity growth offered and received provide detailed information reflecting interdependence of the industries in the global value chain (GVC). The authors use this model to evaluate the impact of a US–Sino decoupling of trade links based on simulations of four scenarios of the reductions in bilateral intermediate trade. Their estimation results and their simulations are as mentioned based on date that ends in 2010, as this is the only KLEMS data available for these countries at this level of industrial disaggregation. As the GVC linkages between the United States and China have expanded since the end of their sample period their results can be viewed as informative in their own right for this period as well as possible lower bounds on the extent of the spillovers generated by an expanding GVC.

The purpose of this paper is to analyze the historical development and characteristics of the globalizing Chinese automobile industry.

This study is positioned as an exploratory case study, using data triangulation techniques based on archival research and published reports of statistical agencies both at central government and single industry level.

China's automobile industry represents an extraordinary case of a development path toward globalization in a transitional economy. One of the obvious characteristics of the auto industry is that it necessitates technology transfer and innovative learning, which can be regarded as an important aspect of maintaining competitiveness in industrialization and global competition. The automobile industry in China is also characterized by state intervention and industrial regulations. The state initiated open-door reform has led to a mixed regulatory mechanism including both market-based competition and the legacy of a command economy. Other major features are demonstrated as follows: state-owned auto enterprises have been gradually given more freedom in the decision-making processes; the Chinese auto industry has shown phenomenal growth in the country's economic development with an average annual rate of about 9 percent. This achievement combined with the increasing impacts of globalization of production and market expansion has undoubtedly led to the increasing inflows of foreign direct investment in the form of international partnerships between the auto-producing MNCs and major local Chinese firms as per the industrial policies in the Chinese automobile industry.

This paper addresses an important topic, the historical development path of the Chinese automobile industry, but to date, it has received very little research attention. It advances the institution-based perspective and therefore develops a better understanding of changes in China's automobile industry over the past decades since 1949 and concludes that the combination of the influences of foreign technology, China's industrial policies and institutional dynamic processes has resulted in a unique dynamic development path for the globalizing Chinese automobile industry.