The quantified analysis of China's GM cotton yield capacity by C-D function and stochastic frontier model

Using a modified C D function and stochastic frontier model, the paper analyzed China's cotton yield capacity and found that the yield and technical efficiency of China's cotton planting system can be increased by the use of genetically modified (GM) varieties.

Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.

Efficient Water-Saving Irrigation,Space Efficiency and Agricultural Development——Study Based on Spatial Stochastic Frontier Model

Xinjiang's agriculture is a typical irrigated agriculture for its agriculture water consumption accounts for 96%of the total water use.As a typical resource-deficient area,the key to Xinjiang's agricultural development is saving water.This paper takes the high-efficient water-saving irrigation technology of 41 regions along the Tarim River from 2002 to 2013 as the research object,adopts spatial stochastic frontier model to measure the space efficiency of high-efficient water-saving irrigation technology,and analyzes the effect of water-saving irrigation technology on agricultural development.Results show that the water-saving irrigation technology has a spatial effect,if neglecting it,the error of missing variables will occur,and the average loss will be 6.98 percentage points.The spatial correlation effect promotes the improvement of the efficiency of water-saving irrigation technology.The spatial heterogeneity leads to the spatial imbalance of the efficiency of water-saving irrigation technology.The promotion of agricultural water-saving irrigation technology can increase production and the efficiency of agricultural development.Due to the technical heterogeneity of different types of water-saving irrigation technology,the contribution to the development of agriculture is also different.The study finds that water-saving irrigation technology of drip irrigation in the Tarim River contributes more to agricultural development.

Modelling energy efficiency in China:a fixed-effects panel stochastic frontier approach

This paper combines energy demand modelling with stochastic frontier analysis to investigate the changing trends,variations and determinants of energy efficiency for 27 Chinese provinces over the period 1995 to 2014.An aggregate‘frontier’energy demand function and an efficiency function are estimated simultaneously.We obtained several findings.First,the energy intensity is not a particularly good indicator of energy efficiency.Second,the energy efficiency levels for all the provinces improved during the sample period,but the current efficiency levels are still low,implying great potential for energy saving.In addition,the energy efficiency gap among the provinces seems to have widened over the past 20 years,as the variance has increased by almost three times.Finally,technological progress driven by new investment and the development of market mechanisms are two important drivers of energy efficiency improvement.

Analysis on the spatial pattern and evolution of China's petroleum trade under the dual effect of international oil price and “Belt and Road” Framework

“Belt and Road” is the important origin of oil import in China. Based on social network analysis and stochastic frontier gravity model, this paper studied the characteristic evolution and influence factor of oil import network between China and “Belt and Road” countries. Then by constructing a stochastic frontier gravity model including the crude oil future price and oil importing price, it found that the international crude oil future price, the oil importing price, the political situation, the trade agreements have the effects on the China's oil import from “Belt and Road” region. It provided suggestions for improving the spatial pattern of China's petroleum trade.

Technical Efficiency Estimation of Government Linked Companies in Malaysia

The Malaysian government launched the Government Linked Companies Transformation （GLCT） Programme in May 2004, with the aim, amongst others, of ensuring continuous improvement of these firms amidst global trade competitiveness and economic challenges. This paper examines technical efficiency of government linked companies （GLCs） and benchmarks the result with top foreign owned firms listed in Bursa Malaysia. The study employs an unbalanced panel dataset of 31 existing GLCs over a period of nine years （2000-2008） using the stochastic frontier model. The results provide estimates of mean technical efficiency of these firms for the first time, and highlight the variation between the GLCs and foreign owned firms which represent international standard. The findings show mean technical efficiency of GLCs is moving towards the frontier but it still relatively low compared to the foreign firms. The trend declined drastically at the later period showing a wider gap against the benchmark firms. The findings hope to contribute to the growing literature on firms＇ efficiency focusing on privatized firms in developing countries.

Study on the Potential of China’s Fruit and Vegetable Products Export to the RCEP Partners

China is one of the world’s major exporters of fruit and vegetable products,and the expansion of fruit and vegetable exports is important for increasing agricultural income.Based on time-varying stochastic frontier gravity model and trade inefficiency model,this paper empirically analyzes the influencing factors and trade efficiency of China’s fruit and vegetable products export to RCEP partners from 2001 to 2019.The results show that China’s GDP per capita,the population of importing countries,and common language conditions have positive effects on China’s fruit and vegetable products export to RCEP partners.GDP per capita of importing countries,the population of China,and geographical distance between trading parties hinder trade in fruit and vegetable products.The presence of trade inefficiencies constrains China’s fruit and vegetable products export to RCEP partners,with liner shipping connectivity and trade freedom having a positive relationship with export efficiency of fruit and vegetable products.Variable trade costs and fixed trade costs have a negative relationship with export efficiency of fruit and vegetable products,which hinder trade in fruit and vegetable products,while financial freedom and free trade agreements have no significant impact on export efficiency of fruit and vegetable products.

Digital Economy Development, International Trade Efficiency and Trade Uncertainty

From the perspective of international trade efficiency and trade uncertainty,this paper analyzes the impact of digital economy development(DED)in importing countries on China’s exports.Theoretically,importing countries’DED can reduce the trade cost of China’s exports,and then improve the export efficiency of China.On the other hand,the intensified market competition in importing countries resulting from DED and the changes in data transmission policies may also increase the uncertainty of China’s export trade.This paper uses the networked readiness index(NRI)to measure the DED level of different countries,and the heterogeneous stochastic frontier gravity(HSFG)model to empirically analyze the data of China’s exports to 115 countries and regions in the period of 2007−2015.The results show that the DED in importing countries can significantly reduce the loss of China’s export efficiency and improve the efficiency of China’s export trade,and this effect is more obvious for China’s exports to low-and middle-income countries.However,importing countries’DED may also increase the uncertainty of China’s export trade.The development of global digital economy brings new opportunities to international trade and new challenges to China’s export.This paper provides a basis for China to strengthen its own DED,deepen international exchanges and cooperation,guide enterprises’transformation and upgrading,and improve their competitiveness and anti-risk capability.

A study of the correlation between per capita income and the proportion of the service industry during China’s economic transition

Based on a provincial panel threshold regression model with per capita GDP as the threshold variable,this paper explores the correlation between per capita GDP and the proportion of employment in the service industry in different stages of China’s economic development.The results show that no matter the development stage,there is always a positive correlation between the two.The results also show that the more advanced the economic development stage,the bigger and more obvious is the regression coefficient.The empirical results based on stochastic frontier analysis(SFA)modeling indicate that the development of the service industry can always contribute to the improvement of national economic efficiency by creating employment opportunities and enhancing efficiencies in related industries.The more developed an economy is,the more significant is the effect.The results of descriptive statistics suggest that there is no empirical factual basis to support the belief that it is normal for China to have a low service industry proportion at its current economic development stage.This paper seeks to illustrate the negative influence of an underdeveloped service industry on China’s economy,and to encourage leapfrog development of the service industry in China.