scholarly journals Relationship between FDI, fiscal expenditure and green total-factor productivity in China: From the perspective of spatial spillover

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250798
Author(s):  
Ke-Liang Wang ◽  
Shuang He ◽  
Fu-Qin Zhang
Keyword(s):  
Total Factor Productivity ◽  
Quality Development ◽  
Mechanism Analysis ◽  
Factor Productivity ◽  
Negative Effects ◽  
Spatial Econometric ◽  
High Quality ◽  
Great Heterogeneity ◽  
Fiscal Expenditure ◽  
The Relationship

Deeply investigating the relationship between foreign direct investment (FDI), fiscal expenditure and green total-factor productivity (GTFP) is beneficial to formulating effective policies to promote the high-quality development in China. Based on theoretical mechanism analysis, with panel data of China’s mainland 30 provinces during 2003–2017, this paper utilizes spatial econometric model to empirically explore the effects of FDI, fiscal expenditure and their interaction item on the growth of GTFP in China. The results show that FDI significantly promote the growth of the local and its neighboring GTFP, and both fiscal expenditure and the interaction between FDI and fiscal expenditure exert significantly negative effects on the growth of GTFP in the local and its neighboring regions. A series of robustness checks and the endogeneity test can ensure the reliability of these results. In addition, great heterogeneity can be found across China’s different regions in the relationship between FDI, fiscal expenditure and GTFP. The conclusions suggest that it is necessary to give fully play to the synergy between FDI and fiscal expenditure and formulate regionally targeted policies to improve GTFP and promote high-quality development in China.

scholarly journals Bond Financing, Research and Development Input, and Total Factor Productivity

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Xing He ◽  
Mancang Wang
Keyword(s):  
Research And Development ◽  
Total Factor Productivity ◽  
Mechanism Analysis ◽  
Factor Productivity ◽  
Action Mechanism ◽  
The Relationship

From the angle of research and development (R&D) input, this paper analyzes how bond financing affects corporate total factor productivity (TFP). Based on the 2007–2019 data on listed enterprises, the influence and action mechanism of bond financing on corporate TFP were empirically examined. The results show that bond financing significantly boosts corporate TFP. The mechanism analysis reveals that bond financing promotes TFP by stimulating corporate R&D input. The research sheds new light on the relationship between finance and TFP from the perspective of bond financing and provides a reference for policymakers to boost corporate TFP by promoting bond financing.

scholarly journals Research on High-Quality Development Efficiency and Total Factor Productivity of Regional Economies in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8287
Author(s):  
Xiangyu Hua ◽  
Haiping Lv ◽  
Xiangrong Jin
Keyword(s):  
Total Factor Productivity ◽  
Influencing Factors ◽  
Distance Functions ◽  
Spatial Data Analysis ◽  
Significant Feature ◽  
Eastern Region ◽  
Quality Development ◽  
Regional Economies ◽  
Factor Productivity ◽  
High Quality

Different from the developmental mode of western developed countries, China’s economy has changed from a stage of high-speed growth to a stage of high-quality development, where the people’s growing needs for better lives can be met, embodying this new concept of development. The aim of our study is to evaluate the high-quality development efficiency and total factor productivity (TFP) of regional economies in China, and to explore the characteristics of spatial-temporal pattern evolution and their influencing factors. By using the slacks-based measure of directional distance functions (SBM-DDF) model, based on the undesirable output perspective, the high-quality development efficiency and TFP of regional economies in China, from 2000 to 2018, are evaluated in this paper. The exploratory spatial data analysis (ESDA) and Tobit models are then used to identify the spatial-temporal correlation patterns and influencing factors of high-quality development efficiency and TFP. The key results show the following: (1) from 2001 to 2018, the greatest high-quality development efficiency and TFP belonged to China’s eastern region and the least to its central region. (2) U and inverted-U trend lines show that high-quality development efficiency has significant regional difference in the east–west direction, presenting a significant feature of spatial imbalance. (3) Government, urbanization rate, and marketization level play a positive role in their impact of TFP, whereas financial development, infrastructure, foreign direct investment, and capital labor ratio play a negative one.

scholarly journals Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259853
Author(s):  
Bo Wang ◽  
Limin Han ◽  
Hongzhi Zhang
Keyword(s):  
Sustainable Development ◽  
Total Factor Productivity ◽  
Industrial Structure ◽  
Industry Structure ◽  
Quality Development ◽  
Marine Fisheries ◽  
Factor Productivity ◽  
High Quality ◽  
Marine Fishery ◽  
Structure Changes

Improving total factor productivity (TFP) is the source of power for high-quality development. Industrial structure optimization is an important way to improve TFP. This paper constructed an econometric model of industry structure changes impacting on TFP in the marine fisheries and conducted an empirical test and analysis. The results showed that the industry rationalization, softening and processing coefficient of marine fishery had a significant “structural dividend” for improving its TFP; while the impact of industrial structure advancement and aquaculture-catching structure changes did not have “structural dividend”, but it could be a combination of other factors to reduce these adverse effects.We believe that simply pursuing the advanced evolution of the industrial structure is not conducive to sustainable development of fishery. Under the pursuit of the rationalization of the marine fishery industry structure, by promoting the coordinated evolution of marine fisheries advancement, aquaculture-catching structure and other factors, the "structural dividend" effect can be enhanced and the fishery can achieve sustainable development. Finally, it proposed to promote the development of advancement and rationalization of marine fishery industry structure coordinately, adjust fishery science and technology transformation direction and key points, and accelerate the development of intensive processing industry by cross-border integration.

scholarly journals The Relationship Between Public Expenditures, Total Factor Productivity and Economic Growth: A Panel Data Analysis

2021 ◽  
Author(s):  
Remzi Can Yılmaz ◽  
Ahmet Rutkay Ardoğan
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Statistical Significance ◽  
Data Availability ◽  
Public Expenditures ◽  
Annual Data ◽  
Factor Productivity ◽  
The Relationship

According to the economics literature, there are two main sources of economic growth. While the first of the resources is the accumulation of production factors, the other is the part of the output that cannot be explained by the amount of input used in production, in other words, the total factor productivity. The level of total factor productivity is measured according to how efficiently the inputs are used in the production process. In this study, the hypothesis that public spending affects real economic growth through total productivity is investigated. In the first stage, whether the changes in public expenditures affect the total factor productivity or not; if it does, to what extent and in what direction it has been tried to be revealed. In the second stage, the effect of total factor productivity on economic growth was examined and the statistical significance, direction and extent of the relationship between variables were investigated. Annual data were used in the study and the year range is 2000-2017. The sampling economies were selected according to data availability, and there are a total of 20 developed and developing economies. Research was conducted using multiple panel regression analysis. According to the findings, the relationship between public expenditures and total factor productivity is statistically significant. An increase in public expenditures reduces the total factor productivity. The relationship between total factor productivity and economic growth is statistically significant, and an increase in total factor productivity also increases economic growth. An increase in public expenditures affects economic growth negatively by reducing the total factor productivity.

scholarly journals The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities

2020 ◽  
Vol 17 (15) ◽  
pp. 5287 ◽  
Author(s):  
Mingliang Zhao ◽  
Fangyi Liu ◽  
Wei Sun ◽  
Xin Tao
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Inflection Point ◽  
Factor Productivity ◽  
Positive Effects ◽  
Development Level ◽  
The Mean ◽  
The Relationship

Promoting the coordinated development of industrialization and the environment is a goal pursued by all of the countries of the world. Strengthening environmental regulation (ER) and improving green total factor productivity (GTFP) are important means to achieving this goal. However, the relationship between ER and GTFP has been debated in the academic circles, which reflects the complexity of this issue. This paper empirically tested the relationship between ER and GTFP in China by using panel data and a systematic Gaussian Mixed Model (GMM) of 177 cities at the prefecture level. The research shows that the relationship between ER and GTFP is complex, which is reflected in the differences and nonlinearity between cities with different monitoring levels and different economic development levels. (1) The relationship between ER and GTFP is linear and non-linear in different urban groups. A positive linear relationship was found in the urban group with high economic development level, while a U-shaped nonlinear relationship was found in other urban groups. (2) There are differences in the inflection point value and the variable mean of ER in different urban groups, which have different promoting effects on GTFP. In key monitoring cities and low economic development level cities, the mean value of ER had not passed the inflection point, and ER was negatively correlated with GTFP. The mean values of ER variables in the whole sample, the non-key monitoring and the middle economic development level cities had all passed the inflection point, which gradually promoted the improvement of GTFP. (3) Among the control variables of the different city groups, science and technology input and the financial development level mainly had positive effects on GTFP, while foreign direct investment (FDI) and fixed asset investment variables mainly had negative effects.

The relationship between working alliance and client outcomes in coaching: A meta-analysis

2019 ◽  
Vol 73 (1) ◽  
pp. 35-58 ◽  
Author(s):  
Carolin Graßmann ◽  
Franziska Schölmerich ◽  
Carsten C Schermuly
Keyword(s):  
Working Alliance ◽  
Meta Analysis ◽  
Cognitive Coaching ◽  
Client Outcomes ◽  
Negative Effects ◽  
High Quality ◽  
Helping Relationships ◽  
Key Factor ◽  
Coaching Outcomes ◽  
The Relationship

A growing number of studies emphasize the working alliance between the client and the coach to be a key factor in coaching. Synthesizing 27 samples ( N = 3563 coaching processes), this meta-analysis sheds light on the relationship between working alliance and a broad range of coaching outcomes for clients. The meta-analytic results indicate a moderate and consistent overall relationship between a high-quality working alliance and coaching outcomes for clients ( r = .41, 95% CI [.34, .48], p < .001). Working alliance was positively related to all desirable coaching outcomes (range: r = .32 to .64), with the strongest relationship to affective and cognitive coaching outcomes. Moreover, working alliance was negatively related to unintended negative effects of coaching ( r = –.29). Results revealed no differences regarding the type of clients, coaches’ expertise, number of coaching sessions, and clients’ or coaches’ perspectives. Similar to other helping relationships like psychotherapy or mentoring, the results support the importance of a high-quality working alliance in coaching.

New Evidence on the Relationship Between Economic Freedom and Growth: A Panel Cointegration Analysis for The Case of OECD

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Economic Freedom ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Cointegration Analysis ◽  
Factor Productivity ◽  
The Impact ◽  
The Relationship

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.

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