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This paper aims at assessing the impact of innovation on productivity as sustainable development can be attained primarily through non-resource-driven growth. Secondly, it also proposes to reflect on the rising capital intensity in the Indian industries as technology advancement, particularly in the light of the fourth industrial revolution, is expected to reduce the labour absorbing capacity of the industrial sector.

Based on panel data for different Indian firms in various groups of industries, this paper estimates TFPG and TE (following Cornwell et al. methodology) and assesses the impact of R&D expenditure on the performance indices. Secondly, it measures the capital intensity across various groups of industries to reflect on the “employment problem”.

Innovation does not seem to enhance the performance index in a very significant manner across industry groups considered in the study. The lack of extensive evidence on impact of innovation on total factor productivity growth suggests that innovation does not necessarily result in technological progress while the need of the hour is to experience non-resource-driven growth on the one hand and employment growth on the other. The positive impact of innovation on efficiency as seen in the paper can be interpreted as the expenditure incurred to realize the potentiality of the technology which is possibly imported. However, capital accumulation is resulting in rapid productivity growth at the cost of employment.

Capturing technological progress in terms of TFPG can be subjected to criticism.

Policy implications for employment generation and inclusive growth are derived.

The study cautions us about the adverse implications in terms of employment growth.

Assessing the impact of innovation on performance such as TFPG and TE is rather rare in the literature, and this paper tries to reflect on this aspect using the Indian firm-level data. Secondly, the trade-offs between productivity growth and employment growth are brought out distinctly in order to highlight the declining labour absorbing capacity of the industrial sector. This enables us to reflect on the adverse consequences of the fourth industrial revolution.

This study attempts to examine the missing middle (MM) phenomena in the context of the Indian manufacturing sector using the unit level information from the database of Ministry of Corporate Affair, Government of India.

Unlike the previous studies, the present study first bifurcated the missing enterprises into two categories such as “permanently” dropped and “reappeared,” in order to pursue a meaningful analysis and derive conclusions with policy insights. Various financial indicators were used to explain the causes of MM phenomena during 2009–2010 and 2016–2017, in a logistic framework.

The study found that profit margin ratio is higher for the group of medium sized enterprises which continued in comparison to the units which dropped out permanently. Similar is the case with the ratio of investment turnover. The econometric results, however suggest that the relationship between the chances of a firm being dropped out and financial indicators is weak as the coefficients of various financial indicators are found to be statistically significant only for a few years.

The study suggests that the missing middle phenomenon is not a myth in India as very large number of medium-sized firms have been disappearing from the market over the years. Based on firm level data it identifies the factors which resulted in such a phenomenon.

Using the 2001 Census data, this paper analyses district‐level rural‐to‐urban migration rates (both intra‐state and inter‐state) among males and females separately. Though many of the relatively poor and backward states actually show large population mobility, male migration is also prominent in the relatively high‐income states. Rural women, on the other hand, usually migrate within the boundaries of the states. The social networks effects are prevalent among the short‐distance migrants, and the North/South divide in the Indian context is indeed a significant phenomenon, with the exception of a few metropolitan cities. Looking at the effect of factors at the place of destination, prospects for better job opportunities are a major determinant of male migration. Low castes, minority groups and women show network effects. The paper finally brings out the effect of migration on health.

Child labour in several low‐income households is rather pursued for gaining experience and at times for meagre incomes, which are possibly spent on household food expenditure. The purpose of this paper is to estimate the incidence of child labour and identifies the factors which explain participation of the children in the labour market. It also focuses on some of the outcomes of labour market participation of the children.

Based on the primary survey of the slum households in four Indian cities this paper applies certain quantitative techniques to estimate child labour and the factors that explain their participation in the labour market.

Though the contribution made by the child labour to the overall well‐being does not turn out to be substantial, without child labour these households would have been much worse off than the households which can afford not to have child labour. The probability of working is higher for a male child compared to a girl child. This is because the girl children are often engaged in household activities and even when they are engaged in income earning jobs they are shown as helpers. Parents' income as such may not be having a positive impact on child's education.

The study is based on a primary survey. It employs certain indirect methods to arrive at a more realistic estimate of the incidence of child labour. Besides, it focuses on the quantitative methods to identify the factors that explain child labour. Finally the policy implications are brought out.

The purpose of this paper is to examine the effectiveness of civil society in providing higher levels of employment and earnings compared to what labour contractors usually offer.

Based on the primary survey data the authors have estimated econometric models to capture who is likely to join the civil society and whether joining actually improves the earnings.

The authors observe that a civil society not necessarily is able to provide employment opportunities on a large scale nor it is able to take a lead role in multiple activities. The binomial logit model is indicative that women from large households with greater domestic burden tend to join the civil society and subsequently their earnings increase. However, the lack of work consignment forces many workers to operate through the contractors. Not necessarily the functioning of a civil society ensures optimal outcomes.

The survey was conducted on the members of only one civil society.

For a civil society to be successful active operation and a large scale coverage are important. The government and civil society closely may have to operate in order to reap better outcomes. Otherwise like government failures civil society failures can also be rampant.

A direct evaluation of civil society participation is done in comparison to those who do operate through the contractors.

The purpose of this study is to examine the performance of Indian engineering goods industry by measuring the technical efficiency and input-driven growth.

The study used the panel data of six firms from the period of 1991–92 to 2014–15 compiled from Annual Survey of Industries (ASI), India and output-oriented econometric techniques such as pooled OLS model, and stochastic frontier approach has been applied to measure the technical efficiency.

The results suggest that the prime sources of high performance in engineering goods industry, which has recorded 8.8% output growth, are primarily contributed by inputs driven growth (8.2%) during the post-reform period, while the effect of technological change is minimal (0.1%) and technical efficiency change is negative (−0.2%). It was due to sluggishness, outdated technology and underutilization of resources in Indian economy.

This research paper is limited to engineering goods industry based on concorded macro data. The recommendations are that India should pursue policies and programs which may focus on technology acquisition, skill enhancement of labor, better capacity utilization, R&D and infrastructure development that may augment the technical change and technical efficiency change of the sector.

This research provides robust and significant estimates of technical efficiency and adds valuable insights to the existing literature by identifying the potential areas that improves the performance of Indian engineering goods industry.

The purpose of this paper is to understand the role of exogenous drivers that seeks to foster endogenous resilience and climate adaptation policy and practice in developing countries. It particularly examines the role of Asian Cities Climate Change Resilience Network as an exogenous driver that sought to sustain urban climate adaptation and resilience agenda in a secondary city in Indonesia.

The research combines fieldworks and desktop research. Primary data collection includes participant observation, unstructured interviews with city stakeholders and project managers, semi-structured interviews with local communities and literature reviews. This research also used an ethnographic field research approach.

Exogenous drivers have temporarily fostered climate change adaptation at city level, but the question remains is how can international actors effectively create a meaningful transformation toward urban resilience in developing countries like Indonesia. Exogenous drivers can play significant roles as a catalyst for urban adaptation planning, including undertaking vulnerability assessment and city resilience strategy and implementing adaptation actions, and facilitates risk management. Further processes for mainstreaming climate adaptation and disaster reduction depend on how receptive and responsive local actors to co-facilitate and co-lead urban resilience buildings and development.

There is still lack of documented knowledge on local institutional change and policy making processes. This research shows challenges and opportunities in institutionalising urban climate adaptation and risk management agenda. It further shows that genesis of endogenous adaptation cannot be separated from the exogenous climate adaptation processes as well as internal dynamic of urban governance in developing world.

This study aims to estimate total factor productivity (TFP) growth for the post-2008 period for selected industries in the manufacturing sector at NIC 3-digit. Total factor productivity growth (TFPG) estimates are based on the theoretical framework provided by studies such Hall (1988), Abraham et al. (2009) and Crepon et al. (2005) that incorporate market imperfection in labour and product market, thereby modifying the traditional TFP estimation as Solow Residual.

Based on the theoretical model that incorporates market imperfections in labour as well as product market in modifying the TFP estimates using the Levinsohn–Petrin framework of empirical estimation, the authors have calculated industry wise TFPG for 62 industries at NIC 3-digit level.

The study finds three distinct trends: first, there are considerable industrial disparities in productivity growth in terms of TFP. The estimates have been found to be higher than the conventional Solow Residual for most industries, indicating the role played by market imperfections in affecting the conventional measure of productivity growth. Second, estimates of bargaining power are found to be lower than those compared to the earlier estimates in Maiti (2013) for the Indian organised manufacturing case for 1998-2005. This observation is commensurate with the observation in recent years of a falling share in labour wage in total output in organised manufacturing sector. Finally, the study also found a statistically significant contribution of greater mechanisation on TFPG while an adverse effect of the rising dependence of organised manufacturing on contractual labour.

The role of market imperfections in measuring TFPG has been undertaken, and it has been found to be an important factor, as the estimated measures vary from the conventional measures of TFPG. Moreover, the study has considered a very recent period from 2008-2015 in estimating TFPG, as well as analysing the factors behind the trends in TFPG at industrial level.

This paper investigates the legitimacy tactics used in the annual reports of UK listed companies in the aftermath of major corporate scandals.

We carried out a content analysis of annual reports of 19 companies that have been involved in corporate scandals with a view to understand how firms communicate negative scandals affecting them.

The findings reveal that firms use a wide range of legitimisation strategies in the manner that contribute to shape disclosure communications concerning negative incidents. For instance, some firms may offset the negativity linked to an incident by rendering such explanations amidst positive information.

Contrary to earlier studies conducted on accounting scandals, the authors incorporated extensive corporate scandals such as human rights violations, controversies concerning child labour, environmental scandals, corruption, financial embezzlement and tax evasion.

Advances in digital design tools enable exploration and generation of dynamic building facades. However, some processes are formally prescribed and manually driven to only visualize the design concepts. The purpose of this paper is to present a proactive framework for integrating parametric design thinking, paying particular attention to building facade patterning.

This work developed the PatternGen^© add-on in Autodesk® Revit which utilizes an analytical image data (AID) overlay approach as a data source to dynamically pattern the building facade. The add-on was used to manipulate the placement rules of curtain panels on facade surface geometry. As means of validating this research model, a real-life design project has been chosen to illustrate the practical application of this approach. Feedback and observations from a short end-user questionnaire assessed qualitatively the facade patterning and panelization approach.

The proposed merge (or overlay) of AID images can be used as a parametric thinking method rather than just theory to generate and articulate dynamic facade design. The facade panelization responds to an AID that resembles design-performance data (e.g. solar exposure, interior privacy importance and aesthetics).

This work identifies a form of parametric thinking defined as the expression of geometrical relationships and its configuration dependent on the AID pixel Red Green Blue color source values. In this type of thinking, it explores the impact of the digital process and parametric thinking utility when driven by an AID overlay. The framework highlighted the practical application of AID pixel approach within a digital process to benefit both designers and computational tools developer on emerging design innovations.