Suchergebnisse

Cilj ovog rada je analizirati razliku u stupnju gospodarskog razvoja među kineskim okruzima iz dvije perspektive: industrijske politike i proizvodne učinkovitosti. Temeljem panel podataka 1830 kineskih okruga, ovaj rad primjenjuje novi okvir klasične teorije gospodarskog rasta za analizu pomoću metode neprestanog inventara i Malmquist indeksa. Rezultati pokazuju da u okruzima prevladava delta konvergencija od 2004. godine, te da se apsolutna razlika širi u različitim okruzima. Industrijska politika osigurava dodatno produbljivanje razine kapitala u kantonu. Nadalje, značajna razlika je zabilježena između poljoprivrednog sektora i nepoljoprivrednog sektora, pri čemu je ukupna faktorska produktivnost i tehnička učinkovitost u porastu što rezultira pojavom dvojnog puta tehnološkog napretka. Ukratko, zahvaljujući industrijskoj politici okruga, razlika u visini kapitala produbljuje razliku u sektorima, proizvodnoj učinkovitosti i dvojnom putu tehnološkog napretka što su temeljni razlozi regionalnih razlika u razini gospodarskog razvoja u Kini. ; This study aims at analyzing the difference in the level of economic development between China's counties from the two perspectives of industrial policy and production efficiency. Based on panel data of 1830 Chinese counties, this study employs the new classical economic growth theory framework to analyze the counties' economic growth by the perpetual inventory method, Malmquist index, among others. The results show that the economy of the counties exhibits δ convergence since 2004, and the absolute differences in the different counties are expanding. Industrial policy ensures the additional deepening of the level of capital in the county. Additionally, a substantial difference was observed between the agricultural sector and the non-agricultural sector, whereby the total factor productivity and the technical efficiency are on the rise, resulting in the phenomenon of dual paths of technological progress. In summary, the capital deepening difference between the sectors, production efficiency, and dual paths of technological progress owing to the counties' industrial policy are the basic reasons for the regional differences in the level of economic development in China.

Abstract
Background
In the stage of sustainable development, enterprises should not only focus on economic efficiency, but also on ecological protection, for which the governments of various countries has adopted various environmental regulation methods to promote green investment by enterprises. However, there are many types of environmental regulations, and the relationship between policy formulation and implementation effects is complicated. Heavily polluting enterprises as the main carrier of resource consumption and pollutant emissions is the main target of environmental regulation. Based on this, we took China's heavily polluting listed companies as examples to explore the impact of different types of environmental regulations on green investment in heavily polluting enterprises.

Results
In this paper, environmental regulations were divided into formal and informal types, of which formal environmental regulations (FER) were subdivided into command-control and market-incentive types. The empirical results showed that the relationship between command-control environmental regulations and green investment by heavily polluting enterprises presents an inverted "U" shape, and market-incentive environmental regulations first have no effect on and then promote green investment by heavily polluting enterprises. Besides, informal environmental regulations (IER) have maintained a positive effect on green investment by heavily polluting enterprises.

Conclusions
Heavily polluting enterprises, respectively, employ passive, active and voluntary green investment strategies under the three types of environmental regulations, providing a reference for the government to promote green investment by enterprises by environmental regulations more effectively.

Trabajo presentado al 20th IFAC (International Federation of Automatic Control) World Congress, celebrado en Toulouse (Francia) del 9 al 14 de julio de 2017. ; This paper considers actuator-fault estimation for discrete-time descriptor systems with unknown but bounded system disturbance and measurement noise. A zonotopic fault estimation filter is designed based on the analysis of fault detectability indexes. To ensure estimation accuracy, the filter gain in the zonotopic fault estimation filter is optimized through the zonotope minimization. The designed zonotopic filter not only can estimate fault magnitudes, but it also provides fault estimation results in an interval, i.e. the upper and lower bounds of fault magnitudes. Moreover, the proposed fault estimation filter has a non-singular structure and hence is easy to implement. Finally, simulation results are provided to illustrate the effectiveness of the proposed method. ; This work has been partially funded by the Spanish Government and FEDER through the projects CICYT ECOCIS (ref. DPI2013-48243-C2-1-R), CICYT DEOCS (ref. DPI2016-76493-C3-3-R), CICYT HARCRICS (ref. DPI2014-58104-R) and by National Natural Science Foundation of China (Grant No. 61273162, 61403104). ; Peer Reviewed

Trabajo presentado a la 36th Chinese Control Conference (CCC), celebrada en Dalian (China) del 26 al 28 de julio de 2017. ; This paper proposes a robust fault detection observer based on zonotopes for discrete-time uncertain systems with sensor faults and unknown but bounded uncertainties. The main advantage of this method is that the observer gain of the robust zonotopic observer is designed to be robust against bounded uncertainties while being sensitive to faults. In order to detect sensor faults with low magnitudes, the fault sensitivity is taken into account by measuring the H_ performance. The designed zonotopic observer gain can be obtained by solving an optimization problem including a sequence of linear matrix inequalities (LMIs). Finally, an illustrative example is provided to demonstrate the proposed method. ; This work has been partially funded by the Spanish Government and FEDER through the projects CICYT ECOCIS (ref. DPI2013-48243-C2-1-R), CICYT DEOCS (ref. DPI2016-76493-C3-3-R), CICYT HARCRICS (ref. DPI2014-58104-R) and by National Natural Science Foundation of China (Grant No. 61273162, 61403104). ; Peer Reviewed