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The purpose of this paper is to examine the economic development strategies of Nepal and Bhutan to understand the economic factors that have contributed to economic growth.

After a brief discussion of each country's modern history, their economies are examined together with their development strategies during the past half century. Standard economic growth models for Nepal and Bhutan are developed and estimated. To ensure the stationarity of the data series, tests of unit root are conducted. Further, a cointegration test is conducted and an appropriate error‐correction model is developed.

The results of the estimations reveal that domestic capital has been a significant source of economic growth in Nepal whereas foreign aid has not had any appreciable effect on growth. In the case of Bhutan, foreign assistance has been a significant source of growth while domestic capital has not.

Bhutan and Nepal also differ in terms of non‐economic factors such as culture, language, politics, and religion. These factors may also help to explain the difference in economic performance of these countries. While important, these issues are beyond the scope this paper and indicate directions for further research.

It is one of the first attempts to compare the economic growth strategies of Nepal and Bhutan. It may provide useful insight to policymakers and others interested in economic growth in Nepal, Bhutan and other developing countries.

Scarcity of resources and ever-changing customer demand has driven the manufacturing organization to opt for an integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS). The purpose of this study is to identify and rank the various drivers for the adoption of ISGLSAMS for the more sustainable development of the industries.

Using a survey questionnaire, data were collected for the 14 ISGLSAMS drivers, identified through the literature review, from 108 Indian manufacturing industries. The sign test is used to check the relevance and significance of drivers. ISGLSAMS drivers are ranked based on the median and standard deviation. A multiple regression model was employed to investigate the effects of other drivers on the highest-ranked driver to strengthen the understanding of the drivers.

Competition, customer demand, technological changes, supply chain pressure, cost benefits, incentives, top management commitment and future legislation are found the strongest drivers for ISGLSAMS. For administering the competition for ISGLSAMS policymakers must focus on the availability of organization resources, customer demand, future legislation, incentives, supply chain pressure and technological developments.

The study contributes to a better understanding of ISGLSAMS drivers. Through this study government, stakeholders and policymakers may plan the policy, roadmap and strategies to drive the manufacturing organizations for the adoption of ISGLSAMS for more sustainable development of industries in India.

This work contributes to the identification and prioritization of the drivers for the more sustainable manufacturing system, i.e. ISGLSAMS (7 Rs based, i.e. 6 Rs of sustainability with 7th R, reconfiguration). The research also contributes to the (1) ISGLSAMS literature (2) the awareness and demand of (a) ISGLSAMS (b) reconfigurable, sustainable and modular products (c) redesign, recovery and refurbishing of the product to increase the product life cycle.