China's Productivity Slowdown and Future Growth Potential

2020 ◽  
Author(s):  
Loren Brandt ◽  
John Litwack ◽  
Elitza Mileva ◽  
Luhang Wang ◽  
Yifan Zhang ◽  
...  
EuroChoices ◽  
2020 ◽  
Author(s):  
Claire Jack ◽  
Austen Ashfield ◽  
Adewale Henry Adenuga ◽  
Conall Mullan

2017 ◽  
Vol 20 (2) ◽  
pp. 35-52 ◽  
Author(s):  
Sumanjeet Singh ◽  
Minakshi Paliwal

The MSME sector occupies a position of strategic significance in the Indian economic structure. This sector contributes nearly eight per cent to country’s GDP, employing over 80 million people in nearly 36 million widely-dispersed enterprises across the country; accounting for 45 per cent of manufactured output, 40 per cent of the country’s total export, and producing more than 8000 valueadded products ranging from traditional to high-tech. Furthermore, these enterprises are the nurseries for innovation and entrepreneurship, which will be key to the future growth of India. It is also an acknowledged fact that this sector can help realise the target of the proposed National Manufacturing Policy to enhance the share of manufacturing in GDP to 25 per cent and to create 100 million jobs by the end of 2022, as well as to foster growth and take India from its present two trillion dollar economy to a 20 trillion dollar economy. Despite the sector’s high enthusiasm and inherent capabilities to grow, its growth story still faces a number of challenges. In this light, the present paper examines the role of Indian MSMEs in India’s economic growth and explores various problems faced by the sector. The paper also attempts to discuss various policy measures undertaken by the Government to strengthen Indian MSMEs. Finally, the paper proposes strategies aimed at strengthening the sector to enable it to unleash its growth potential and help make India a 20 trillion dollar economy.


2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 253-253
Author(s):  
Katherine Gross ◽  
Kelli Jacobs ◽  
Michael Romano

253 Background: With expanding clinic volume and future growth potential, we face an issue of limited physical clinic capacity. This has resulted in extended patient wait times, physician idle time, and longer clinics days. Each of these issues adds to both provider and patient dissatisfaction and operational inefficiencies. Methods: Key operational metrics and through put data was analyzed with the oncology team. Agreements and goals for the process improvement were: no provider would be told they could not see a sick patient, patient’s time would be respected and maximize provider productivity. Data demonstrated that the current state would not accommodate future growth. Several operational changes were agreed upon by physician and administrative leadership: level load the days of the week, require several providers to move their clinic days; place structure and real-time discussion into how we manage same day and future “add-on” patients though setting clear expectations around clinician template times; assign a full time staff member to function as a “clinic flow coordinator" to triage same day add-ons, and facilitate provider room assignments, communicate with providers, and identify system or people barriers to clinic flow; provide each of the patients a “restaurant style” pager that will light up when they are ready to be taken to a room, allowing them the freedom to leave the waiting room without fear of missing their appointment time; implement a room-utilization manager software program allowing staff to see and collectively manage real time clinic flow and room utilization. Results: Provider feedback was very positive related to the flow and utilization of clinic rooms. The check-in staff described a less full waiting room even though volumes remained constant. We will monitor patient perception by patient satisfaction scores. Conclusions: To date, much of the results have been anecdotal. In order for these changes to become practice there is a clear need to tie in satisfaction and operational efficiency metrics. There will be ongoing coaching and feedback with providers and staff related to adherence to the new processes. As new providers are added to the practice, we will be very purposeful when adding their creating their templates and adding their clinic days.


2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Xin Li ◽  
Zhenggan Cai ◽  
Xiaoyan Wu ◽  
Long Chen

The Harvard Analytical Framework is a financial analysis framework jointly proposed by three Harvard economists. Analysis of financial statements based on the Harvard framework not only helps to identify problems in the business process, but also to predict future growth potential. In this paper, the publicly traded company Nanjing Sonic was selected as the target company for the study. The Harvard Analytical Framework was adopted as an analytical tool to analyze the operating conditions and financial status of the target company for the years 2015-2019. A comparison with similar companies reveals the problems that exist. Finally, we forecast the future development prospects of the company.


2011 ◽  
Vol 4 (1) ◽  
pp. 9-30
Author(s):  
Ewert Kleynhans ◽  
Moloto J. Sekhobela

In this study, the development and structure of value-added production in the manufacturing industries of the Southern District Municipality (SDM) of South Africa are investigated. The field of study focuses on spatial economic development, with the aim of identifying industries that can offer future growth and job creation. The methodology of shift-share analysis, often applied to studies of Economic Geography, is used for the empirical analysis. The SDM district municipality includes the local municipalities of Klerksdorp, Potchefstroom, Ventersdorp, Merafong City and Wolmaransstad. The economy of these municipalities is mainly dependent on gold mining, which is declining as their gold reserves are becoming depleted which will lead to a large section of its population being unemployed in the near future. Shift-share analysis provides insight into the shifts of production between various sectors over time and is comprehensible to policymakers. It provides further insight into the national share effect on production of the sectors in the region, as well as the regional industrial mix and the competitive share effects. It was found that the sectors with the highest growth potential are Transport Equipment, Petroleum and Chemicals, Furniture, Metal Products, and Wood and Paper Products, and they merit attention in future development initiatives.


Significance President Moon Jae-in described this industry as an “important future growth engine” with “infinite growth potential”. His government aims to expand content industry exports from 9.55 billion dollars last year to 13.4 billion in 2022. The promotion of cultural exports has political motives too. Impacts The Chinese market dwarfs all others; Beijing will leverage this for political goals. To Seoul’s chagrin and despite all its efforts, the global image of Korea is still led by the North. Worsening relations with Tokyo will push Seoul to assert its own identity and increase its cultural influence.


2011 ◽  
Vol 55 (1) ◽  
pp. 64-79
Author(s):  
Artur Nilson

Abstract The height growth curves of Scotch Pine (Pinus sylvestris L.) stands were simulated for stands with initial height asymptote H∞ 15 m, 25 m and 35 m and with linear change p of the potency of growth conditions 0.5% yr-1, 0.2% yr-1, 0.1% yr-1 , -0.2% yr-1 and with no change as the base. Different models to transmit the changing growth potential into stand growth were used: changing the efficient length of growth year replacing the stand age t with the expression t(1 + tp) with fixed H∞ in variant (1b) or calculating the current asymptote H∞,t as the expression H∞(1 + tp) corrected for asymptotic approaching the species specific asymptote sup(H∞). Current annual increment CAI in the last case was calculated using the equations CAIt = f(t, H∞,t) in variant (3ct), CAIt = f(H, H∞,t) in variant (4ch) and CAIt = f(H, H∞,t)*(1+p/2) in variant (4chb). The height Ht in the last 3 cases was calculated as ascending sum of CAIt. Figures of the functions Ht = f(t, H∞) and CAIt = f(H, H∞) indicated the last as more informative about the changes in the shape of curves. The results of approximation of simulated curves with five different functions indicated the possibility of their modeling using traditional functions and fixed value of height asymptote. The fit was the poorest for variants 4ch and 4chb. The function for conversation the apparent growth curve based on unique height measurements into real one and vice versa was deduced for version 1b. The need to make distinct difference between the past, present and future growth in growth modeling was underlined.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252753
Author(s):  
June Young Lee ◽  
Sejung Ahn ◽  
Dohyun Kim

Research papers are a repository of information on the various elements that make up science and technology R&D activities. Generating knowledge maps based on research papers enables identification of specific areas of scientific and technical research as well as understanding of the flow of knowledge between those areas. Recently, as the number of electronic publishing and informatics archives along with the amount of accumulated knowledge related to science and technology has proliferated, the need to utilize the meta-knowledge obtainable from research papers has increased. Therefore, this study devised a model based on meta-knowledge (i.e., text information including citations, abstracts, area codes) for prediction of future growth potential using deep learning algorithms and investigated the applicability of the various forms of meta-knowledge to the prediction of future growth potential. It also proposes how to select the promising technology clusters based on the proposed model.


2020 ◽  
Vol 47 (5) ◽  
pp. 382-391
Author(s):  
Paul J. Deramo ◽  
Matthew R. Greives ◽  
Phuong D. Nguyen

Facial palsy has a broad clinical presentation and the effects on psychosocial interaction and facial functions can be devastating. Pediatric facial palsy, in particular, introduces unique familial and technical considerations as anatomy, future growth potential, and patient participation influence treatment planning. Though some etiologies of pediatric facial palsy are self-limiting, congenital and long-standing facial palsies pose difficult challenges that require a combination of surgical, adjunctive, and rehabilitative techniques to achieve facial reanimation. Given the spectrum of ages and symptom severity, as well as the various surgical options available for facial palsy, a tailored approach needs to be developed for each child to restore facial balance and function. Here, we review the etiologies, workup, and treatment of pediatric facial palsy and present our novel algorithmic approach to treatment.


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