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In India, economic reforms adopted in 1991 in form of LPG (Liberalization-Privatization-Globalization) removed numerous barriers to grow and offered opportunities to improve productivity, particularly, for the manufacturing sector. But the rationale that manufacturing sector acted as main contributor to country's economic growth via GDP growth (called “engine of growth”) for a long time in India has been challenged now a day. The growing significance of the services sector across the world exhibits that at the present time, the services sector could become the new engine of economic growth in developing economies like India. The present study seeks to bring to light whether manufacturing is acting as an “engine of growth” at inter-state level in India or not and the cross section result indicates that potency of manufacturing growth and agricultural growth is gradually slowing down as a conforming part of economic growth and service sector is taking leading position in accelerating engine of growth in India.

Purpose: Manufacturing has always been considered a backbone for economic growth. It has been considered an imperative sector in the growth of an economy. This study aims to trace the long-term relationship between gross domestic product (GDP) and manufacturing sector in the context of Indian economy.

Need for the study: According to research, the significance of the manufacturing sector is waning over time. This chapter studies the long-term relationship between the GDP, an indicator of growth, and the manufacturing sector. Over the last few decades, the contribution of manufacturing has been stagnant in the GDP of India.

Methodology: The decadal growth of various sectors in the GDP of India is studied using time series analysis. This study used the data released by the Ministry of Statistics and Programme Implementation (MOSPI) from 1950–1951 to 2013–2014. The long-term relationship between the sector of manufacturing and the GDP is examined through the augmented Dicky–Fuller (ADF) test and auto-regressive distributed lag (ARDL) models.

Findings: The findings suggest that in the Indian scenario, there is no relationship for an extended period between the GDP and the manufacturing sector, which calls for further policy implications.

Practical implications: India, while having the world’s fastest-growing economy, must continue to take steps to attain high growth rates and long-term sustainability by reducing obstacles to the expansion of the service sector in addition to manufacturing. Manufacturing-led services are to be boosted through policy interventions.

The purpose of this study is to present the systematic literature review (SLR) on Lean Six Sigma (LSS) by exploring the state of the art on growth of literature on LSS within the manufacturing sector, critical factors to implement LSS, the role of LSS in the manufacturing sector from an implementation and sustainability viewpoint and Industry 4.0 viewpoints while highlighting the research gaps.

An SLR of 2,876 published articles extracted from Scopus, WoS, Emerald Insight, IEEE Xplore, Taylor & Francis, Springer and Inderscience databases was carried out following the protocol of systematic review. In total, 154 articles published in different journals over the past 10 years were selected for quantitative and qualitative analysis which revealed a number of research gaps.

The findings of the SLR revealed the growth of literature on LSS within the manufacturing sector. The review also highlighted the most cited critical success factors, critical failure factors, performance indicators and associated tools and techniques applied during LSS implementation. The review also focused on studies related to LSS and sustainability viewpoint and LSS and Industry 4.0 viewpoints.

The findings of this SLR can help senior managers, practitioners and researchers to understand the current developments and future requirements to adopt LSS in manufacturing sectors from sustainability and Industry 4.0 viewpoints.

Academic publications in the context of the role of LSS in various research streams are sparse, and to the best of the authors’ knowledge, this paper is one of the first SLRs which explore current developments and future requirements to implement LSS from sustainability and Industry 4.0 perspective.

The purpose of this study is to investigate the effects of Indonesia’s technical barriers to trade (TBT) on manufacturing exports.

This study uses the UNCTAD database to calculate the coverage ratio and frequency index of TBTs, which represent the restrictiveness of TBTs on imports. The effects of TBTs are estimated using the gravity model (Tinbergen, 1962) and the pseudo-Poisson maximum likelihood methodology (Santos Silva and Tenreyro, 2006, 2011).

An estimation on the manufacturing sector shows that TBT reduces Indonesia’s manufacturing exports. However, the effect of TBT is different in disaggregated manufacturing sector. TBT is found to reduce exports of chemicals and transportation but increase exports of metal and textiles. This finding supports the empirical evidence that TBT can create trade-impeding and demand-enhancing effects on trade flows. The negative effect of TBT on chemical and transportation exports implies that the cost of compliance is higher than the increasing demand rate. This finding suggests the need for policy evaluation and improvements for restrictive TBT. As Indonesia is still highly dependent on imported inputs, restrictive TBT can potentially reduce the productivity of the Indonesian manufacturing sector.

This study aims to investigate the effects of TBT in Indonesia, as a manufacturing-based economy that relies heavily on imported intermediate inputs. Furthermore, this study contributes to the literature by using country-specific techniques and aggregated and disaggregated manufacturing sectors as subjects for study. Meanwhile, previous studies use multi-country and multi-product approaches and focus on the aggregate sector. This study estimates the effects of TBT on the disaggregated sector, given its high share of imported inputs and reliance on export-oriented industries. TBT is constructed in a more detailed product level (HS-4 digit level) to provide more accurate results.

While manufacturing organisations were early adopters of ISO 9000, lately, many service sector organisations have also pursued adoption. The aim of this paper is to compare the experiences with the standard of the two sectors.

The research collected data from 149 service and 160 manufacturing organisations using a common survey measurement instrument.

Results show that there are no statistically significant differences between the two groups in terms of time and cost of obtaining registration. Also, there are only small points of differences in motivation for registration and difficulties faced. There are greater differences between the groups in terms of benefits gained and management practices associated with the standard.

These results provide interesting insights into how the two groups perceive and engage with the standard, how cross‐industry diffusion could be taking place, and the veracity of the claims made about the universal applicability of the standard. These findings imply that service organisations can learn from the experiences of the manufacturing sector, but copying carte blanche the implementation strategies is fraught with risks. Further, the standard is not universally applicable and may need industry‐specific tailoring.

The purpose of this paper is to investigate the role of the different circular business models (CBMs) in the manufacturing and service sector and apply this in the context of the food industry (FI), through a systematic literature review of related published journals and articles. The research study is designed to illustrate the impact of CBMs in the manufacturing and service sectors through a combination of real-life examples and direct references to existing literature.

The underlying research study follows a systematic literature review approach where the relevant CBMs are explored in the context of the manufacturing and service sector (FI.) The journals most cited in the context of CBMs and their implication in the manufacturing and service sector were chosen for this study. There was no fixed timeframe applied to complete the research. A total of 54 articles were selected which referenced: discussion in the context of the concept of CBMs; different types of CBM; definition of the manufacturing sector; definition of the service sector (FI); application of different CBMs in these two sectors; and included a comparison of the application of CBMs. In total, 40 of the 54 articles were shortlisted for best relevance and used in the research study.

The underlying research study was limited to 40 articles and the data contained within them. The article search was limited to the keywords of the CBM; the implication of CBM; the CBM in manufacturing (textiles); circular business in service (FI); and comparison and application of the CBM.

The final analysis demonstrates that circular business promotes sustainability by allowing companies to generate maximum return from given resources and reach zero waste targets. Greater customer satisfaction is also achieved through service innovation that cuts down negative impact on the environment. These findings are relevant and applicable to the FI.

A review of existing literature showed that whilst there is significant research on the implications of the CBM in general, there has been little focus on the use of different CBMs specifically in the manufacturing and service industry (FI). This research study is designed to tease out the specific benefits of CBMs in this context, highlighting the contribution they can make to efficiency in both the manufacturing and service sectors (FI) through useful comparison.

The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries.

Initially, the economic input-output tables of US economy and carbon footprint multipliers were collected from EORA database (Lenzen et al., 2012). Then, economic input-output life cycle assessment models were developed to quantify the carbon footprint extents of the US manufacturing sectors between 1970 and 2011. The carbon footprint is assessed in metric tons of CO₂-equivalent, whereas the economic outputs were measured in million dollar economic activity.

The salient finding of this paper is that the carbon footprint stock has been increasing substantially over the last four decades. The steep growth in economic output unfortunately over-shadowed the potential benefits that were obtained from lower CO₂ intensities. Analysis of specific industry results indicate that the top five manufacturing sectors based on total carbon footprint share are “petroleum refineries,” “Animal (except poultry) slaughtering, rendering, and processing,” “Other basic organic chemical manufacturing,” “Motor vehicle parts manufacturing,” and “Iron and steel mills and ferroalloy manufacturing.”

This paper proposes a state-of-art time series input-output-based carbon footprint assessment for the US manufacturing industries considering direct (onsite) and indirect (supply chain) impacts. In addition, the paper provides carbon intensity and carbon stock variables that are assessed over time for each of the US manufacturing industries from a supply chain footprint perspective.

The purpose of this paper is to evaluate the degree of structural change of the Philippine economy and examine how linkages among sectors evolved during 1979‐2000.

The authors use the input‐output tables of the Philippines to draw the economic landscape of the Philippines and to examine the degree of structural transformation that the economy has undergone since the 1970s. They perform a linkage analysis of 11 major economic sectors and through the multiplier product matrix, plot the economic landscape of the Philippines for 1979‐2000. This allows identification of the sectors that have exhibited the highest intersectoral linkages. The authors also undertake a more disaggregated analysis within manufacturing and consider export sophistication and competitiveness.

Manufacturing is consistently the key sector of the Philippine economy. Resource and scale‐intensive manufacturing industries exhibit the highest linkages. The authors also find a growing impact on the economy of private services and transportation, communication and storage sectors, probably due to the globalization of these activities. But overall, compared to manufacturing, the service sector exhibits lower intersectoral linkages.

The economic landscape of the Philippines shows the structural changes that have taken place. The empirical findings lead to the conclusion that the Philippines cannot afford to leapfrog the industrialization stage and depend solely on a service‐oriented economy, when the potential for growth still lies primarily on manufacturing. The results of this study can be used for government policy formulation. The government should institute policy reforms that directly target the industrial sector to accelerate economic growth.

Increasing carbon productivity is an effective way to reduce carbon emissions, while boosting economic prosperity. For appropriate formulating and enforcement of energy saving and carbon emissions reduction policies in various sectors, it is of great significance to investigate the evolution characteristics and convergence modes of carbon productivity across the manufacturing sectors.

Using slack-based measure directional distance function (SBM-DDF) and global Malmquist–Luenberger (GML) productivity index, this paper measures the carbon productivities of 29 manufacturing subsectors in Shanghai, China, from 2001 to 2016 under the total factor framework. Furthermore, based on the convergence theories, it empirically examines the convergence of carbon productivity across these manufacturing sectors.

The measurement results suggest that the carbon productivities of the manufacturing sectors in Shanghai show an increasing tendency on the whole, and technical efficiency instead of technological change makes a main contribution to the increase. It is found that there is no obvious σ convergence across the manufacturing sectors in Shanghai, but there exist both absolute ß convergence and conditional ß convergence. Moreover, there is heterogeneity in convergence characteristics between the clean sectors and polluting sectors. The findings also show that firm size and industry structure have significant positive impacts on the growth of carbon productivities of the manufacturing sectors, whereas the impacts of capital deepening and energy consumption structure are significantly negative.

This paper measures the carbon productivities of the manufacturing subsectors by applying SBM-DDF and GML index, so as to improve the accuracy. It provides an insight into the convergence of carbon productivity across the manufacturing sectors.

This study empirically assessed the influence of foreign direct investment on the manufacturing sector growth in the Middle East and North African region using panel data of 18 countries covering the period of 1975–2017.

The study employed Levin et al. (2002) test (LLC) and Im et al. (2003) panel unit root test. Furthermore, Kao’s cointegration test was applied to examine the long-run relationship between the variables. Both the Dynamic OLS and Fully modified OLS were used in estimating the short-run relationship.

The results of the DOLS and FMOLS indicate that both inward and outward FDI influence the manufacturing sector growth positively. This shows that much of the manufacturing sector growth in the MENA region is driven by both inward and outward FDI. Our findings made a strong new proposition that aside from the negative influence proposed by Stevens and Lipsey (1992), outward FDI could also have a positive influence on the manufacturing sector of a country through effective utilization of domestic raw materials that are produced locally for production of goods in a foreign country.

MENA countries should concentrate more on making policies that will encourage the effective utilization of domestic resources for outward foreign direct investment in other countries of the world as it has the capacity to boost the manufacturing sector growth. Also, policies that will attract more inflows of FDI in the region should be encouraged. Both inward and outward FDI should be considered as an integral part of MENA economic policy in order to spur the manufacturing sector growth.

Previous empirical studies on the relationship between FDI and manufacturing sector growth have focused much on the influence of inward FDI. Thus, very little attention has been paid to the contribution that the outward FDI makes to the growth of the manufacturing sector of the host country. Our empirical study focused on the influence of both inward and outward FDI on the manufacturing sector growth with specific emphasis on the MENA region that remains the center of attraction of inward FDI and a source of inward FDI to most nonoil producing developing and developed countries given the oil-rich nature of the region.