Journal of Economics and Economic Education Research (Print ISSN: 1533-3590; Online ISSN: 1533-3604)

Short communication: 2022 Vol: 23 Issue: 6

Potential Bias of Knowledge Technology Intensity in Services: Industry Sector and Productivity Growth

Jennifer Louis, Texas Tech University

Citation Information: Louis, J. (2022). Potential bias of knowledge technology intensity in services: industry sector and productivity growth. Journal of Economics and Economic Education Research, 23(6), 1-3.

Abstract

Overall, productivity growth is also underestimated within the U.S.; despite continuing progress, measuring and abstract barriers stay. The issues concerning idea of productivity growth are targeted on knowledge for the sector, particularly its service parts. Services, generally outlined, embody all manufacturing activities outside the products sector. Productivity within the service sector has not grownup as speedily as productivity within the producing sector. Anecdotal accounts of enhancements in technology thanks to the tactic of measuring for the 2 totally different areas are similar, that is why the measuring is wrong. The productivity knowledge doesn't totally replicate changes within the quality of products and services thanks to the new ideas and concerns that has got to be taken into consideration so as to guage the accomplishments of the service industries, as critical the easy producing industries. Economists need to confirm if the simplest techniques square measure accustomed introduce new, advanced product into the info series. Current techniques don't capture the impact of recent data technology on economic performance. This is often why statistics might facilitate to clear up ambiguities and begin give a recent outlook to properly analyze successes of the service industries as a results of data technology.

Keywords

Potential Bias, Knowledge Technology, Productivity Growth.

Introduction

Economics, like each science, is incomplete and thus perpetually evolving. A central concern of political economy needs to do with productivity the ability to grow wealthier by extracting additional worth from constant quantity of labor. Productivity is that the live of political economy, that is that the study of however a society uses its restricted resources to supply, trade, and consume merchandise and services. In alternative words, the globe needs to satisfy unlimited desires with restricted resources. Viewing the perpetually growing quantity of recent product and technological enhancements at the tip of the 20th century people square measure enormously affected. It appears logical that these inventions and enhancements square measure increasing shopper welfare, and therefore the technical innovations square measure contributory to output ( Cao et al., 2017).

Then why is that the question of whether or not or not these new product and technological enhancements square measure increasing at an understandable rate? Logical reasoning supposes one factor, however formally, reported numbers don't support this assumption of productivity growth. Economic statistics provided by the government demonstrate a modest rise in productivity numbers, that don't seem to be in step with the extremely increasing technological advances occurring across the economy. Economists, at the side of the remainder of the globe, see additional new product, additional changes in shopper service, additional technical changes, and alternative innovations ( Kumar & Paul, 2019).

The sole downside is that these observations, whereas promising in terms of growth, are in step with the comparatively minor increase in government productivity numbers. Several economists go as way to proclaim that society has been experiencing a productivity lag despite the apparent growth ( Ngo et al., 2020). 

Productivity Relationships

Even though computers don't seem to be the sole issue that affects associate economy, the globe can utilize engineering because the center of improvement. Since the event of the primary computers, society has not solely modified within the approach folks conduct business, however conjointly within the growing potency of aspects of everyday life. One example is that the ability to visually see someone many hundred miles away rather than merely having the ability to speak by voice alone. This is often achieved with the invention of the pc at the side of the voice transmission and visual pictures led to exploitation programs like the Net meeting computer code ( Shair et al., 2021).

In associate era that's sensitive to performance measuring, there has been associate aroused interest in productivity. The definition of productivity, because the general population perceives it currently, solely matters in repetitive processes that turn out or handle similar things. The idea comes from mill work. A mill manufactures a selected reasonably factor, in massive quantities by ways like production. The additional things made within the same quantity of your time, the smaller the capital and labor value of every item, resulting in lower costs and better margins ( Zuo & Li, 2018).

Conclusion

Even once wide knowledge on revenues of service industries is obtainable, the info doesn't give a live of output that distinguishes changes in value over time from changes in real output. mensuration service industries' output initial involves distinctive the unit of output and so handling the problem of quality modification. The same old thanks to live the $64000 output of the business once using typical sources of knowledge is to deflate a nominal live of output for the business with the value index for the industry's product. Once constructing a index number for deflating nominal output, it's necessary to specify initial specifically what's being purchased or the essential group action unit of the merchandise. Then, the characteristics like value of production and profit that confirm its value square measure evaluated. The variation that happens during a given characteristic over time or among suppliers amounts to a modification in quality of the merchandise .

References

Cao, L., Qi, Z., & Ren, J. (2017). China’s industrial total-factor energy productivity growth at sub-industry level: A two-step stochastic metafrontier Malmquist index approach. Sustainability, 9(8), 1384.

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Kumar, R. A., & Paul, M. (2019). Industry level analysis of productivity growth under market imperfections. Indian Growth and Development Review.

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Ngo, Q. T., Tran, Q. V., Nguyen, T. D., & Nguyen, T. T. (2020). How heterogeneous are the determinants of total factor productivity in manufacturing sectors? Panel-data evidence from Vietnam. Economies, 8(3), 57.

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Shair, F., Shaorong, S., Kamran, H. W., Hussain, M. S., Nawaz, M. A., & Nguyen, V. C. (2021). Assessing the efficiency and total factor productivity growth of the banking industry: do environmental concerns matters?. Environmental Science and Pollution Research, 28(16), 20822-20838.

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Zuo, B., & Li, L. (2018). Resource reallocation and heterogeneous productivity growth in the tourism industry. Journal of China Tourism Research, 14(3), 370-391.

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Received: 19-Oct-2022, Manuscript No. JEEER-22-12978; Editor assigned: 21-Oct-2022, PreQC No JEEER-22-12978(PQ); Reviewed: 04- Nov-2022, QC No. JEEER-22-12978; Revised: 07-Nov-2022, Manuscript No. JEEER-22-12978(R); Published:15-Nov-2022

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