scholarly journals Sustainable Agricultural Total Factor Productivity and Its Spatial Relationship with Urbanization in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6773
Author(s):  
Jinkai Li ◽  
Jueying Chen ◽  
Heguang Liu
Keyword(s):  
Total Factor Productivity ◽  
Agricultural Production ◽  
Dynamic Change ◽  
Spillover Effect ◽  
Spatial Relationship ◽  
Annual Growth Rate ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Negative Effect ◽  
Urbanization In China

The growth of agricultural total factor productivity (TFP) is seen as a driving force for the sustainable development of agriculture. Meanwhile, the promotion of urbanization in China has exerted a profound impact on agricultural production. This paper calculates the agricultural TFP and analyzes the effect of urbanization. Firstly, the DEA-Malmquist method is used to calculate the dynamic change in agricultural TFP in China from 2004 to 2016. Secondly, the spatial spillover effect of urbanization on agricultural TFP is investigated by the spatial Durbin model. We found that: the average annual growth rate of agricultural TFP in China is 4.8% from 2004 to 2016; and the spillover effect of urbanization on agricultural TFP shows a U-shaped relationship, which means that urbanization has exerted a negative effect first and then a positive effect on agricultural TFP. Finally, the paper puts forward policy suggestions from the perspective of sustainable coordination of urbanization and agricultural production.

scholarly journals The Measurement and Influencing Factors of Total Factor Productivity in the Chinese Rural Distribution Industry

2021 ◽  
Vol 13 (15) ◽  
pp. 8581
Author(s):  
Chaoxun Ding ◽  
Ruidan Zhang
Keyword(s):  
Total Factor Productivity ◽  
Influencing Factors ◽  
Data Model ◽  
Industrial Structure ◽  
Positive Impact ◽  
Malmquist Index ◽  
Annual Growth Rate ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Urbanization Rate

Total factor productivity (TFP) is critical to the sustainable development of the rural distribution industry. Improvements in productivity of the rural distribution industry can promote the high-quality development of the Chinese distribution industry. Studying the characteristics and influencing factors of total factor productivity in regard to the rural distribution industry in China is significant for promoting the transformation and development of the rural distribution industry. This paper uses the DEA–Malmquist Index to measure the total factor productivity (TFP) of the Chinese rural distribution industry and its decomposition index, and uses a panel data model to empirically study its influencing factors. The results show that, from 2008 to 2018, the TFP of the Chinese rural distribution industry showed a trend of rising first and then fluctuating and declining, with an average annual growth rate of 2.93%; the fluctuation direction of the TFP of the rural distribution industry in the eastern and western regions of China is basically the same, which has had a reverse change relationship with the central and northeast regions for many years. The industrial structure, urbanization rate, rural informatization rate, and conditions of the transportation facilities have significant impacts on the TFP of the rural distribution industry, among which the informatization rate has the greatest positive impact.

EVALUATING THE CONTRIBUTION OF TOTAL FACTOR PRODUCTIVITY ON AGRICULTURAL GROWTH IN AN GIANG PROVINCE

2018 ◽  
Vol 1 (29) ◽  
pp. 29-37
Author(s):  
Tan Van Truong
Keyword(s):  
Total Factor Productivity ◽  
Agricultural Production ◽  
Science And Technology ◽  
Agricultural Labor ◽  
Factor Productivity ◽  
Agricultural Growth ◽  
Regression Approach ◽  
Investment Capital ◽  
Agricultural Demand

By the growth regression approach, the research has identified that the investment capital contributed 1,939 and agricultural labor contributed 1,291 to the agricultural growth of An Giang province. More specifically, the contribution of TFP (Total Factor Productivity) to the agricultural growth in the period 2000 - 2004 was averagely 0,11%, in 2005 - 2010 was -5,03%, and in period 2011 - 2016 was 0,81%. The total factor productivity contributed to the agricultural growth slowly. In order to raise the contribution of TFP, the research represents 05 solutions including the increase of the effectiveness of using the investment capital, the increase of the quality of labor, the application of the science and technology into agricultural production, agriculturalrestructuring, and the increase of  agricultural demand.

Impact of Nanotechnology Patents on Green Development of China's Building Industry

2020 ◽  
Vol 14 (2) ◽  
pp. 141-152
Author(s):  
Xialing Sun ◽  
Rui Zhang ◽  
Xue Chen ◽  
Pengpeng Li ◽  
Jin Guo
Keyword(s):  
Total Factor Productivity ◽  
Inhibitory Effect ◽  
Building Industry ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Technological Support ◽  
Green Development ◽  
Panel Data Regression ◽  
The Impact ◽  
Building Engineering

Background: The sustainable development of the building industry has drawn increasing attention around the world. Nanomaterials and nanotechnology play an important role in the processes of energy saving and reducing consumption in the building industry. Nanotechnology patents provide key technological support for the green development of the building industry. Based on patent data in China, this paper quantitatively analyzed the application of nanotechnology patents in the building industry and the time trend, regional differences, and evolution of China's nano-patent applications in the building field. Methods: In this study, the environmental total factor productivity of the building industry considering carbon constraints was determined and then used as the dependent variable to measure the green development of the building industry. On this basis, a panel data regression model was constructed to determine the impact of nano-patents on the green development of the building industry. Results: Nanotechnology patents in the building industry can significantly improve total factor productivity. From the perspective of patent composition, technology-based patents that focus on substantial innovation can significantly promote the green development of the building industry, whereas strategic patents show a significant inhibitory effect. Regionally, the western region of China has the advantage of being less developed and thus more efficient than the central and eastern regions in the application of new nano-products. Finally, the research also showed a significant lag in the application of China's nanotechnology patents and low implementation efficiency. Conclusion: Nano patents can promote green development in the building industry, but there is room for improvement in the speed with which laboratory inventions are transformed into building engineering applications.

scholarly journals Impact of Migrant Workers on Total Factor Productivity in Chinese Construction Industry

2019 ◽  
Vol 11 (3) ◽  
pp. 926 ◽  
Author(s):  
Gui Ye ◽  
Yuhe Wang ◽  
Yuxin Zhang ◽  
Liming Wang ◽  
Houli Xie ◽  
...  
Keyword(s):  
Construction Industry ◽  
Total Factor Productivity ◽  
Migrant Workers ◽  
Annual Report ◽  
Learning By Doing ◽  
Construction Sector ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Statistical Yearbook ◽  
The Impact

Total factor productivity (TFP) is of critical importance to the sustainable development of construction industry. This paper presents an analysis on the impact of migrant workers on TFP in Chinese construction sector. Interestingly, Solow Residual Approach is applied to conduct the analysis through comparing two scenarios, namely the scenario without considering migrant workers (Scenario A) and the scenario with including migrant workers (Scenario B). The data are collected from the China Statistical Yearbook on Construction and Chinese Annual Report on Migrant Workers for the period of 2008–2015. The results indicate that migrant workers have a significant impact on TFP, during the surveyed period they improved TFP by 10.42% in total and promoted the annual average TFP growth by 0.96%. Hence, it can be seen that the impact of migrant workers on TFP is very significant, whilst the main reason for such impact is believed to be the improvement of migrant workers’ quality obtained mainly throughout learning by doing.

Does foreign direct investment spillover total factor productivity growth? A study of Indian drugs and pharmaceutical industry

2017 ◽  
Vol 24 (7) ◽  
pp. 1937-1955 ◽  
Author(s):  
Nitin Arora ◽  
Preeti Lohani
Keyword(s):  
Foreign Direct Investment ◽  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Spillover Effect ◽  
Foreign Firms ◽  
Factor Productivity ◽  
Content Type ◽  
Domestic Firms ◽  
Tfp Growth

Purpose Foreign firms have certain advantages which may spillover to domestic firms in the form of improvements in total factor productivity (TFP) growth. The purpose of this paper is to empirically observe the presence of TFP spillovers of foreign direct investment (FDI) to domestic firms through analyzing source of TFP growth in Indian drugs and pharmaceutical industry. Design/methodology/approach This paper examines the sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry over the period 1999 to 2014. The data of 304 firms has been used for estimation of the growth rates of TFP and its sources under stochastic frontier analyses based Malmquist productivity index framework. For frontier estimation, the Wang and Ho (2010) model has been executed using translog form of production function. Findings The results show that there exists significant TFP spillover effect from the presence of foreign equity in drugs and pharmaceutical industry of India. The results also show that the major source of TFP fluctuations in the said industry is managerial efficiency that has been significantly affected by FDI spillover variables. In sum, the phenomenon of significant Intra-industry (horizontal) efficiency led productivity spillovers of FDI found valid in case of Indian drugs and pharmaceutical industry. Research limitations/implications The number of foreign firms is very less to imitate the significant impact of foreign investment on TFP growth of Indian pharmaceutical industry at aggregated level; and the Wang and Ho (2010) model is failing to capture direct impact of FDI on technological change under Malmquist framework. Practical implications Since, there exists dominance of domestic firms in Indian drugs and pharmaceutical industry, the planners should follow the policy which not only attract FDI but also benefit domestic firms; for example, developing modern infrastructure and institution which will further help domestic firms to absorb spillovers provided by the Multinational Corporations and also accelerate the growth and development of the economy. Social implications In no case, the foreign firms should dominate the market share otherwise the efficiency spillover effect will be negative and the domestic firms will be destroyed under the self-centric approach of foreign firms protected by the recent patent laws. Originality/value The study is a unique attempt to discuss the production structure and sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry with such a wide coverage of 304 firms over a period of 16 years under Wang and Ho (2010) model’s framework. The existing studies on TFP spillovers are using either a small sample size of firms or based upon traditional techniques of measuring spillover effects.

scholarly journals Exports, Misallocation, and Total Factor Productivity of Furniture Enterprises

2019 ◽  
Vol 11 (18) ◽  
pp. 4892
Author(s):  
Chang Xu ◽  
Jianbing Guo ◽  
Baodong Cheng ◽  
Yu Liu
Keyword(s):  
Total Factor Productivity ◽  
Value Chain ◽  
Fixed Effects ◽  
Negative Impact ◽  
Market Competition ◽  
Fixed Effects Model ◽  
Factor Productivity ◽  
Labor Costs ◽  
Negative Effect ◽  
The Impact

With the increase in labor costs in China and the tremendous changes in the international trade environment, upgrading the total factor productivity of Chinese furniture export enterprises faces a great challenge. Lots of studies have explored the interaction of exports or misallocation on the total factor productivity (TFP) of furniture enterprises, however, there is little knowledge on the impact and interaction of both exports and misallocation on the TFP. Based on panel data of Chinese furniture enterprises, this paper measures the TFP and the distortion of labor and capital resources in Chinese furniture enterprises. A two-way fixed-effects model is used to analyze the impact of exports and misallocation on the TFP of Chinese furniture enterprises. The paper reveals several important findings. First, the TFP of Chinese furniture export enterprises is lower than that of non-export enterprises, this phenomenon is called the “export–productivity paradox”. Chinese furniture export enterprises are processing trade-oriented and labor-intensive enterprises at the low end of the value chain, exports have a negative effect on improving the TFP of furniture enterprises in the short term. Second, the distortion of labor and capital resources in Chinese furniture enterprises promotes improvements to the TFP of furniture enterprises rather than reducing the TFP of furniture enterprises. Last but not the least, we find that misallocation has a positive moderating effect on exports and can weaken the negative impact of exports on TFP by the “forced mechanism”, which is that the higher the distortion of the misallocation, the higher the cost of acquiring capital and labor, and enterprises are forced to enhance their productivity when facing market competition, thus promoting improvements to the TFP of furniture enterprises.

scholarly journals Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation

2020 ◽  
Vol 12 (14) ◽  
pp. 5704
Author(s):  
Shuai Zhang ◽  
Xiaoman Zhao ◽  
Changwei Yuan ◽  
Xiu Wang
Keyword(s):  
Sustainable Development ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Influencing Factors ◽  
Technological Progress ◽  
Transportation Industry ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Technological Bias

The bias of technological progress, particularly relating to energy saving and carbon emissions reduction, plays a significant role in the sustainable development of transportation, and has not yet received sufficient attention. The objectives of this paper were to examine the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC), and their influencing factors in the sustainable development of China’s regional transportation industry from 2005 to 2017. A slack-based measure (SBM) Malmquist productivity index was adopted to measure the BTC, IBTC, and OBTC by decomposing green total factor productivity. The results revealed that: (1) Continuous technological bias progress and input-biased technological progress existed in China’s transportation development from 2005 to 2017, making an important contribution to green total factor productivity. The output-biased technological change was close to 1, indicating a slight impact on the sustainable development of the transportation industry; (2) The bias of technological progress in eastern regions was slightly greater than that in central regions, and obviously greater than that in western regions. Moreover, different provinces experienced different types of technological bias change, with four major types observed during the research period; (3) The input-biased technology of a majority of provinces tended to invest more capital relative to labor, using more capital comparing to energy, and consume more energy relative to labor, while the output-biased technology of most provinces tended to produce desirable outputs (value added in transportation) and reduce the byproduct of CO2 relatively; (4) Average years of education, green patents in transportation, industrial scale, and local government fiscal expenditure in transportation significantly contributed to promoting the bias of technological progress, which was inhibited by the R&D investment. This study provides further insight into the improvement of sustainable development for China’s transportation, thereby helping to guide the government to promote green-biased technological progress and optimize the allocation of resources.

ANALYSIS OF COMPETITIVENESS OF THE TOURISM SECTOR EAST JAVA PROVINCE (A TECHNICAL EFFICIENCY & CONVERGENCE APPROACH)

2020 ◽  
Vol 8 (6) ◽  
pp. 294-304
Author(s):  
Suparno Suparno
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
High Efficiency ◽  
Government Expenditure ◽  
Spillover Effect ◽  
Productive Efficiency ◽  
Factor Productivity ◽  
Significance Level ◽  
Tourism Sector ◽  
Low Efficiency

This research analysis of tourism competitiveness is based on the very high disparity problem in the condition of the tourism sector in East Java Province. With a sample of 10 districts / cities and using investment data, tourist visits, population, government spending and tourism sector PDRB, it is produced that investment and tourist visits have a positive but not significant effect on tourism sector PDRB because due to the probability > 0.05. While the population and government expenditure have a positive and significant effect on the tourism sector PDRB due to the probability < 0.05. Fixed effect models that are formed are:PSP = 39485712 + 0.018 INV + 0.389 TOURIST + 22.304 POP + 0.065 GEX + e               To measure tourism competitiveness, it is used with technical efficiency and total factor productivity where it is produced: Sidoarjo Regency, Malang City and Surabaya City are regencies / cities that have the highest level of technical efficiency with a value of 100% technical efficiency. Whereas with the calculation of total factor productivity in Gresik Regency (21,350), Jember Regency (16,543) and Kediri Regency (15,650) are regencies / cities that have the highest productivity. Based on the calculation of technical efficiency and total factor productivity results are obtainedL1) High efficiency and productive, Jember Regency; (2) High efficiency and less productive, Sidoarjo Regency, Malang City and Surabaya City; (3) Low and productive efficiency, Kediri Regency, Lamongan Regency and Gresik Regency; and (4) Low efficiency and less productive, Banyuwangi Regency, Pasuruan Regency and Pasuruan City.               The spillover effect occurs in Pasuruan City, where the economy of Pasuruan City is affected by investments from Sidoarjo Regency and Surabaya City as indicated by the significance level of 0.051 Surabaya City investment and 0.048 for Sidoarjo Regency investment which means smaller and equal to 0.05.               The calculation of convergence shows that the average convergence of regencies / cities in East Java to leader regions over 15 years and 5 months means that districts / cities need an average of 15 years and 5 months to match the conditions of tourism in the city of Surabaya.

scholarly journals Industrial Agglomeration, Foreign Direct Investment and Green Total Factor Productivity―Evidence from Manufacturing Industries in Chongqing, China

2018 ◽  
Author(s):  
Guohua Yu ◽  
Shuqin Xu
Keyword(s):  
Foreign Direct Investment ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Manufacturing Industry ◽  
Spillover Effect ◽  
Inhibitory Effect ◽  
Industrial Agglomeration ◽  
Factor Productivity ◽  
Development Mode ◽  
Conduction Path

This paper studies the influence mechanism of industrial agglomeration and foreign direct investment (FDI) on green total factor productivity (GTFP). We use the SBM Directional Distance Function to measure the GTFP of Chongqing's manufacturing industry from 1999 to 2015. The results show that the level of GTFP in Chongqing's manufacturing industry is relatively low, which is contrary to the current green development mode. By clarifying the conduction path of industrial agglomeration and FDI on GTFP, we use the panel Tobit model to study the effect of industrial agglomeration and FDI on GTFP. The main findings are: the higher the level of industrial agglomeration, the more beneficial it is to increase GTFP. FDI has an inhibitory effect on GTFP. The spillover effect of FDI on GTFP is not significant. At the same time, FDI counteracts the role of industrial agglomeration in promoting GTFP. The findings in a present study indicate that, according to Chongqing's experience, the &quot;pollution haven&quot; is established. Therefore, relying solely on foreign technology to promote the development of the manufacturing industry has many drawbacks clearly. Only by improving the ability of independent innovation is the reliable way to enhance GTFP effectively.

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