Contribution of TFP to economic growth of Dong Thap province: Current status and scenarios for the period 2021 - 2025

2021 ◽  
Vol 11 (2) ◽  
pp. 53-66
Author(s):  
Dang Hoang Minh Quan ◽  
Nguyen Kim Phuoc
Keyword(s):  
Economic Growth ◽  
Function Method ◽  
Current Status ◽  
Factor Productivity ◽  
Organizational Policies ◽  
Tfp Growth ◽  
Study Results ◽  
The Status ◽  
Status Analysis ◽  
Douglas Production Function

The study aims to analyze the contribution of Total Factor Productivity (TFP) in Dong Thap ’province’s economic growth using the Cobb-Douglas production function method, based on the data from 2000 - 2020. The study results show that the contribution of capital (ε_K) is 0.3524, the contribution of labor (ε_L) is 0.6476. Dong Thap province’s average TFP growth rate in each period of 05 years 2011 - 2015 and 2016 - 2020 is 2.31% per year and 1.93% per year, respectively, and ’TFP’s contribution to economic growth is 34.51% and 30.01%, respectively. Based on the status analysis of the period 2011 - 2015 and 2016 - 2020, the study proposes four growth scenarios associated with four productivity orientations for Dong Thap province in 2021 - 2025. This ’study’s results are the basis for organizational policies and orientations for socio-economic development, proposing provincial development guidelines and plans to 2025, oriented to 2030.

Technology Transfer and Economic Growth

2001 ◽  
Vol 15 (3) ◽  
pp. 189-196 ◽  
Author(s):  
Douglas W. Jamison ◽  
Christina Jansen
Keyword(s):  
Economic Growth ◽  
Technology Transfer ◽  
Research And Development ◽  
Productivity Growth ◽  
Effective Means ◽  
Review Of The Literature ◽  
Factor Productivity ◽  
Economic Framework ◽  
Labour Input ◽  
Douglas Production Function

This paper presents the economic framework supporting the conclusion that US federal programmes, such as the Bayh–Dole Act of 1980, which increase the pay-off from research and development funding (R&D) can be effective agents of economic growth. A review of the literature in this field provides evidence that links investment in research to economic growth. By modifying the traditional Cobb–Douglas production function to include a research and development input, in addition to the capital and labour input, this study defines how multi-factor productivity (MFP) growth is controlled by the interaction of R&D and its commercialization. The combined contribution to MFP growth is defined as the product of the elasticity of output for R&D and the rate of growth of the R&D input. Evidence supporting the importance of the elasticity component for multi-factor productivity growth is presented, and the study then concludes that programmes to increase the elasticity of output for R&D – what is referred to as increasing the pay-off from R&D – may be an effective means of realizing a larger return on the investment in R&D.

scholarly journals Trends in Productivity Growth of Indian Pharmaceutical Industry: A Growth Accounting Analysis

2021 ◽  
pp. 437-446
Author(s):  
Ariful Hoque ◽  
Subhrabaran Das
Keyword(s):  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Decomposition Analysis ◽  
Output Growth ◽  
Growth Accounting ◽  
Series Data ◽  
Factor Productivity ◽  
Entire Study ◽  
Tfp Growth ◽  
Study Results

The pharmaceutical industry of India is one of the most rapidly expanding research-based industries of Indian manufacturing. This paper attempts to examine the trends in partial and total factor productivity (TFP) growth of India’s pharmaceutical industry using industry-level time series data covering a period of 25 years from 1993-94 to 2017-18, which is further divided into pre-product and post-product patent periods. Three alternative indices of growth accounting approach viz., Translog, Solow, and Kendrick have been used to measure the growth of total factor productivity with four input production framework. The study results indicate significant increasing trends in capital intensity as well as labour, energy and material productivity and a significant declining trend in capital productivity over the entire study period. This study also finds a positive turnaround in the TFP growth of Indian’s pharmaceutical industry during the post-product patent era. The decomposition analysis confirms that output growth in the pharmaceutical industry is input-driven rather than productivity-driven as TFP growth contributes only 8.5 percent to the observed output growth. From the policy standpoint, this paper also suggests greater emphasis on resource efficiency by improving the quality of factor inputs, particularly capital, through increased R&D activities and adoption of cutting-edge technology.

Current Status Analysis and Preventive Countermeasures on Industrial Hazardous Waste in Chongqing, China

2011 ◽  
Vol 414 ◽  
pp. 191-197
Author(s):  
Ying Zhu ◽  
Li'ao Wang ◽  
Jia Xiang Li
Keyword(s):  
Solid Waste ◽  
Hazardous Waste ◽  
Pollution Prevention ◽  
Ecological Environment ◽  
Current Status ◽  
Prevention Measures ◽  
Industrial Solid Waste ◽  
Chongqing Municipality ◽  
The Status ◽  
Status Analysis

Large amounts of industrial hazardous waste (IHW) are generated with the rapid economicgrowth in Chongqing Municipality. The generation of IHW was 355994.12t in 2010 and made up 1.25% of industrial solid waste (ISW). Huge varieties and complex components of IHW make it difficulty in its management, which causing serious environmental problems. In this paper, the status of IHW generation, disposal and management was analyzed from 2006 to 2010. Moreover, the pollution prevention measures are proposed for the purpose of protecting the ecological environment

scholarly journals Total Factor Productivity Shock and Economic Growth in Selected Asean+3 Countries: A New Evidence Using a Panel Var

2021 ◽  
Vol 21 (3) ◽  
pp. 1366-1383
Author(s):  
Noorazeela Zainol Abidin ◽  
Ishak Yussof ◽  
Zulkefly Abdul Karim
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Positive Impact ◽  
Production Costs ◽  
Panel Var ◽  
Factor Productivity ◽  
Data Set ◽  
Tfp Growth ◽  
The Impact ◽  
Panel Vector Autoregression

A comparison between countries shows that there is a difference in terms of economic growth achievement across nations. This difference is due to the contribution of capital growth, labor, and total factor productivity (TFP). Although the use of capital and labor plays a vital role in the production, the contribution of TFP growth is also indispensable, as it saves production costs. Nevertheless, in 1995-2000, most countries have experienced a negative growth of TFP in which can affect its contribution to economic growth. Therefore, the focal point of this study is to analyze the impact of TFP growth shock on economic growth in selected ASEAN+3 countries (i.e., Malaysia, Singapore, Thailand, Indonesia, Philippines, Cambodia, Vietnam, China, South Korea, and Japan), using the data set from 1981 to 2014. The study employed the panel vector autoregression (PVAR) method in analyzing the propagation of the shocks through impulse response function and variance decomposition. The main findings revealed that TFP growth shocks have a positive impact on economic growth. Besides, the results also showed that over the next ten years, the proportion of human capital variation would be more dominant in contributing to the economic growth for the selected ASEAN+3 countries. As the surge in TFP growth had a positive impact on economic growth, this finding indicated that each country needs to allocate more expenditure in the Research and Development (R&D) activities.

scholarly journals Does Exports Promote the Economic Growth of China? A Long-Run View Point

2017 ◽  
Vol 8 (2) ◽  
pp. 64 ◽  
Author(s):  
Qiang Jiang
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Total Factor Productivity ◽  
Mineral Resources ◽  
View Point ◽  
Factor Productivity ◽  
Present Stage ◽  
Influencing Mechanism ◽  
Long Run ◽  
Study Results

This paper empirically studied the influence of exports on long-run economic growth of China at the present stage, using the 2002-2012 panel data of provinces. Results showed that the exports hinder the long-run economic growth of China. Based on the theory of technology and resource, We researched the influencing mechanism of exports on long-run economic growth from three aspects: the influence of exports on total factor productivity, the influence of exports on human capital and the influence of exports on consumption of energy and mineral resources. The empirical study results showed that although exports enhanced the standard of human capital, exports depressed the progress of total factor productivity, and consumed enormous energy and mineral resources. So the total effection is exports hinder the long-run economic growth of our country at present stage.

Estimation about Contribution from Information Technology in China’s Economy

2011 ◽  
Vol 58-60 ◽  
pp. 304-308
Author(s):  
Shi Li
Keyword(s):  
Economic Growth ◽  
Information Technology ◽  
Growth Rate ◽  
Factor Productivity ◽  
Economic Growth Rate ◽  
Tfp Growth ◽  
Role Of Information ◽  
Production Probability ◽  
China’S Economy

To interpret the role of information technology (IT) in China’s economy, the paper focuses on examining the growth contribution from information technology with Production Probability Frontier and Dual Method during the period from 1980 to 2003. Our results indicate that the Chinese economic growth rate devoted to IT investment has risen steadily since 1990. The contribution share of total factor productivity (TFP) from IT in China has increased sharply after 1995, while the TFP growth rate from non-IT sector dropped at that period.

Moderating Role of Gender in the Relationship between Cognitive Errors and Anxiety among Adolescents

2020 ◽  
Vol 4 (1) ◽  
pp. 86-102
Author(s):  
Tasnim Rehna ◽  
Rubina Hanif ◽  
Muhammad Aqeel
Keyword(s):  
Mental Health Problems ◽  
Adolescent Psychopathology ◽  
Future Research ◽  
Cognitive Errors ◽  
Adolescent Anxiety ◽  
Study Results ◽  
The Status ◽  
Manifest Anxiety ◽  
The Relationship

Background: Widespread social paradigms on which the status variances are grounded in any society, gender plays pivotal role in manifestation of mental health problems (Rutter, 2007). A hefty volume of research has addressed the issue in adults nonetheless, little is vividly known about the role of gender in adolescent psychopathology. Sample: A sample of 240 adolescents (125 boys, 115 girls) aging 12-18 years was amassed from various secondary schools of Islamabad with the approval of the Federal Directorate of Education (FDE), relevant authorities of the schools and the adolescents themselves. Instruments: Taylor Manifest Anxiety Scale (Taylor & Spence, 1953) and Children’s Negative Cognitive Errors Questionnaire (CNCEQ) by Leitenberg et al., (1986) were applied in present study. Results: Multiple regression analysis revealed that cognitive errors jointly accounted for 78% of variance in predicting anxiety among adolescents. Findings also exhibited that gender significantly moderated the relationship between cognitive errors and adolescent anxiety. Implications of the findings are discoursed for future research and clinical practice.

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