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This paper examines the dynamics of structural transformation in Morocco since 1970 by analyzing input-output tables expressed in terms of employment and output levels across 24 sectors.

This study employs a twofold methodological approach. Firstly, it examines the evolution of sectoral employment shares over time using World Bank data. Secondly, it utilizes Input-Output analysis to examine structural shifts in Morocco's economy, focusing on sector-specific output and employment data. The primary data source is the Eora Global Supply Chain Database, covering the years 1970, 1980, 1990, 2000, and 2015. Additionally, to transition from production-based to employment-based input-output tables, the study leverages employment and output data from the Penn World Tables to calculate the diagonal labor coefficient matrix.

First, our analysis reveals that Morocco's economic transformation has been slower compared to high-income countries. Structural changes, as evidenced by the evolution of employment shares by sector, show a gradual decline in agricultural employment share over the period 1991-2019, accompanied by a shift towards the services sector. This shift, driven by favorable conditions in the services sector and increased capital use in agriculture, has resulted in premature deindustrialization. The industrial sector's employment share has remained stable due to its capital-intensive nature. Second, Input-Output analysis reveals a pronounced premature tertiarization of the Moroccan economy. Between 1990 and 2000, the tertiary sector saw a dramatic rise in both backward (167%) and forward (68%) linkages, while the primary sector's backward linkages fell by 33% during the same period. Although the primary sector’s linkages increased by 10% from 2000 to 2015, the secondary sector experienced a consistent decline in backward linkages, dropping 12% from 1990 to 2000 and an additional 10% from 2000 to 2015. Employment linkage analysis further underscores this shift, with a 12% increase in the tertiary sector’s backward linkages from 1990 to 2000, contrasted by significant declines in the primary (51%) and secondary (7%) sectors. These trends highlight an unsustainable move towards services without concurrent industrial development, challenging balanced economic development.

As it is unanimous, the structural transformation of Morocco remains relatively slow and characterized by a shift of the labor factor from the primary sector to the tertiary sector, with a limited job creation by the secondary sector considered as the pillar of any structural transformation. This paper advances the field of research on structural transformation by elucidating the premature tertiarization of the Moroccan economy and the slowness pace at which the transformation of its economic fabric is occurring, thereby filling the empirical gap.

The main goal of this paper is to examine the evolution of Latin American productive integration in terms of the regional value added incorporated in intra-regional exports of Argentina, Brazil, Chile, Colombia, Mexico and Peru. In addition, the study traces the trade and productive integration trajectories for each of these countries from 1995 to 2015.

Based on the use of OECD’s global ICIO input-output tables, this paper applies the methodological framework by Wang et al. (2018) for the analysis of trade flows at the bilateral level, which allows breaking down the value of gross exports of each sector-country, depending on the origin of the value added contained in exports, as well as their use.

The estimates show very low shares of value added from regional partners in the intra-regional exports of the countries studied. Conversely, the weight of the value added incorporated in these exports by countries outside the region has increased in tandem with China’s expanding involvement in Latin America. This development, along with the downward trend in domestic value added incorporated in exports, indicates a lack of a regional integration process of any depth.

This article addresses an economic problem of conventional importance from a global value chain perspective using a novel methodology based on the use of global input–output tables.

This paper aims to investigate the short- and long-run influence of core banking solutions (CBSs) on productive efficiency and identify the presence of potential network externalities arising from CBS adoption. This paper further examines the differential behaviour of long-term effects across the banking structure.

This study uses a panel data set of Indian commercial banks from 2005 to 2021. Economic efficiency is quantified using VRS-based DEA programming algorithms. Productivity changes are measured through an input-oriented, DEA-based Malmquist productivity index. Short- and long-run effects are examined through a finite autoregressive distributed lag model, estimated through a pooled mean-group estimator.

Findings suggest that CBS adoption negatively correlates with cost structure until the first year of adoption. Nevertheless, significant benefits are visible from the third year. Furthermore, such associations are highly susceptible to the industry structure. CBS results in higher incremental benefits for private banks vis-à-vis state-owned banks. Large banks receive significant and quicker productivity improvements from CBS vis-à-vis small banks. Bank age guides CBS–performance associations, highlighting that mature banks may face the issue of legacy infrastructure in CBS adoption. The resultant networking externalities are significant as they enhance the attractiveness of the network, which subsequently augments inter-branch and inter-bank communications.

To the best of the authors’ knowledge, this study is the first to recognise the stickiness of one of the most homogeneously adopted technological innovations in the Indian banking sector. The presence of a conjoint technological network has the potential to enhance the service delivery process and ensure superior returns for Indian banks.

This study evaluates how well Victorian local councils’ procurement policies align with the sustainable and circular economy (CE) approach that prioritises sustainable and regenerative practices. It proposes a set of criteria designed to effectively integrate environmental sustainability issues into purchasing policies.

Employing the Specific, Measurable, Assignable, Realistic and Time-bound (SMART) framework, a multi-dimensional content analysis guided by the goal-setting theory was applied to evaluate all 79 Victorian local councils’ procurement policies. This approach provided an assessment of policy specificity, measurability, assignability, realism and time sensitivity in promoting environmental sustainability through purchasing policies.

The findings underscored a significant deficiency in policy adherence to all SMART criteria concerning environmental sustainability, hindering the effective green purchasing decisions within government entities. This lack of integration of greening in purchasing policy poses challenges for manufacturers of waste-derived goods, obscuring the procurement objectives of these critical public sector customers.

The paper contributes to the sustainable procurement (SP) discourse by proposing guidelines aimed at improving the efficacy of governmental purchasing of sustainable products. These guidelines address the broader imperative to mitigate the environmental impacts of governmental spending on less sustainable goods, thereby fostering ecological sustainability and promoting responsible consumption.

While past studies have often relied on subjective content analysis methods, the SMART assessment used to develop the environmental sustainability criteria for purchasing policies, which distinguishes this study from previous governmental policy evaluation studies. This approach marks a departure from traditional governmental policy evaluation studies, offering a more structured analysis of policy effectiveness in promoting SP practices.

Lean manufacturing (LM) concepts have been widely adopted in diverse industrial sectors. However, no literature review focusing on case studies describing LM implementation is available. Case studies represent the actual implementation and provide secondary data for further analysis. This study aims to review the same to understand the pathways of LM implementation. In addition, it aims to analyse other related review questions, such as how implementing LM impacts manufacturing capabilities and the maturity level of manufacturing organisations that implemented LM, to name a few.

A literature review of case studies that discuss the implementation of LM during the last decade (from 2010 to 2020) is carried out. These studies were synthesised, and content analyses were performed to reveal critical insights.

The implementation pattern of LM significantly varies across manufacturing organisations. The findings show simultaneous improvement in manufacturing capabilities. Towards the end of the last decade, organisations implemented LM with radio frequency identification, e-kanban, simulation, etc.

Reviewing the case studies documenting LM implementation to comprehend the various nuances is a novel attempt. Furthermore, potential future research directions are identified for advancing the research in the domain of LM.