This research investigates the effects of electricity consumption (major independent variable), per capita income, real exchange rate, import and export on manufacturing output by using yearly time series data for the period of 1980–2016 with regard to 10 late industrialized nations. The ARDL bound testing approach, the way to deal with cointegration is applied to estimate the long-run connection between the variables. While, error correction method (ECM) is used to find the short-run dynamics. To test the causality among the variables, Toda-Yamamoto test is performed. The results demonstrate the existence of short-run and long-run relationship among the variables and Toda-Yamamoto causality results support the existence of growth, conservation, feedback and neutrality hypotheses for different nations. The difference in the results can be attributed to structural and macroeconomic parameters. In general, this research brings out a fresh lead of knowledge for late industrialized nations to strengthen their economic development through proficient utilization of energy consumption.

The Internet of Things (IoT) and the Wireless Sensor Network (WSN) concepts are currently combined to improve data transmission based on sensors in near future applications. Since IoT devices exist in WSN with built-in batteries, power efficiency is a challenge that must be resolved. Clustering and routing are effectively treated as methods for reducing the dissipation of energy and maximising WSN IoT support life. This paper presents the new Energy Aware Adaptive Fuzzy neuro clustering with the WSN assisted IoT algorithm EAANFC-MR. EAANFC-MR is proposed for two main stages, clustering and multihop routing on the basis of EAANFCs. For selecting CHs with Residual Energy (RE) and Distance and Node degrees the EAANFC based cluster technique is used. The QOB-FO algorithm, which is used as a Multihop Route Technique, is then used to select optimised roads to the destination. MATLAB is used to simulate the proposed EAANFC-MR model. The goodness of the EAANFC-MR model interspersed with various aspects was demonstrated through a series of experiments.

The multi-dimensional benefits offered by the manufacturing sector in economic growth and development make academicians and policymakers to consider this sector still as an engine of growth . The unique qualities of this sector occupy a predominant place in the development policies around the world. Against these insights gained from economic literature, the study empirically investigates the role of energy, human capital, finance and technology in influencing manufacturing value-added in an endogenous growth framework by assessing short-run and long-run relation through ARDL bounds test approach followed by VECM causality test. The results testify the existence of energy-led, finance-led (supply leading), technology-led, and human capital-led growth hypotheses . These results give important insights and directions to have long term well-framed policy perspectives to develop financial institutions, the uninterrupted energy flow to the manufacturing sector, a blend of education and skill intensive programs and, an import strategy specially designed to obtain the spillover benefit of foreign technology.

The paper empirically examines the internationalization-output nexus in 15 lateindustrialized countries from 1976 to 2018 using fixed and random effects techniques. The findings reveal that trade openness negatively impacts the industrial output, while the labor force shows a positive and statistically significant impact. Domestic investment and education show negligible and insignificant positive and negative impacts on output, respectively. Investment is supposedly incurring zero marginal productivity of capital as it is high in excess of labor. In a nutshell, it is capital bias. Furthermore, bias in terms of complex skill requirements in production prevents the entry of less-skilled labor force. Given these outcomes, we conclude that the incremental capital-output ratio (ICOR) needs to be tested to find out additional intricate issues involved in investment. Besides, the comparative advantage in less skilled labor is underutilized. To overcome this, the policymakers should ensure absorption of such semi-skilled human capital. This requires removing skill bias and capital bias to a reasonable extent without damaging output generation. Hence, the study suggested that the late-industrialized nations may use the potential labor force and capital to speed-up long-term industrial development by enhancing human capital through training, technical know-how, etc., to attain sustainable industrial development.

No abstract