Industrialization and environmental externalities in a Solow-type model

Antoci, Angelo; Russu, Paolo; Sordi, Serena; Ticci, Elisa

doi:10.1016/j.jedc.2014.08.009

Cited by 20 publications

(28 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It denoted that firms near the city boundary were prone to discharge more waste water and solid waste. Such discovery accorded with the previous statement that the negative externalities of environmental pollution were always transferred from urban to rural areas [ 18 , 32 , 33 ]. The positive coefficient for D_lake should be attributed to the role of environmental regulation.…”

Section: Resultssupporting

confidence: 87%

“…Distance to administrative boundary: Industrial pollution has negative externalities; it emerges when the behavior individual does not take the responsibility for pollution and the subsequent damage on others [ 18 ]. Industrial pollution in inner city tends to be transferred to the adjacent rural areas, in order to reduce the high environmental costs.…”

Section: Methodsmentioning

confidence: 99%

“…Jiang et al (2014) [ 10 ] analyzed the firm-level determinants of the emission intensity of sulfur dioxide, wastewater, and soot in China. Given the environmental negative externalities [ 18 ], the geographic locations, which proxy for potential operating costs [ 19 ], should be incorporated into the analysis of firm level determinants. Prior literature has reported that location exerted important impact on firms’ operating decisions [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Locational Determinants of Emissions from Pollution-Intensive Firms in Urban Areas

et al. 2015

View full text Add to dashboard Cite

Industrial pollution has remained as one of the most daunting challenges for many regions around the world. Characterizing the determinants of industrial pollution should provide important management implications. Unfortunately, due to the absence of high-quality data, rather few studies have systematically examined the locational determinants using a geographical approach. This paper aimed to fill the gap by accessing the pollution source census dataset, which recorded the quantity of discharged wastes (waste water and solid waste) from 717 pollution-intensive firms within Huzhou City, China. Spatial exploratory analysis was applied to analyze the spatial dependency and local clusters of waste emissions. Results demonstrated that waste emissions presented significantly positive autocorrelation in space. The high-high hotspots generally concentrated towards the city boundary, while the low-low clusters approached the Taihu Lake. Their locational determinants were identified by spatial regression. In particular, firms near the city boundary and county road were prone to discharge more wastes. Lower waste emissions were more likely to be observed from firms with high proximity to freight transfer stations or the Taihu Lake. Dense populous districts saw more likelihood of solid waste emissions. Firms in the neighborhood of rivers exhibited higher waste water emissions. Besides, the control variables (firm size, ownership, operation time and industrial type) also exerted significant influence. The present methodology can be applicable to other areas, and further inform the industrial pollution control practices. Our study advanced the knowledge of determinants of emissions from pollution-intensive firms in urban areas.

show abstract

Section: Resultssupporting

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Locational Determinants of Emissions from Pollution-Intensive Firms in Urban Areas

et al. 2015

View full text Add to dashboard Cite

show abstract

“…In the third place, differently from previous studies on environmental self-protection choices, we will deliberately focus attention on the dynamics which can arise in a typical host developing economy. Finally, differently from the similar settings examined by Lopez (2010) and Antoci et al ( , 2014 who adopt two-sector models with environmental externalities and intersector labor mobility, in the present paper we will allow for international capital mobility and physical capital accumulation in both sectors. In our model, therefore, the different evolution of the physical capital stock in the two sectors will be endogenously determined.…”

Section: Related Literaturementioning

confidence: 99%

Foreign direct investments, environmental externalities and capital segmentation in a rural economy

Antoci

Borghesi

Russu

et al. 2015

Ecological Economics

Self Cite

View full text Add to dashboard Cite

“…More and more developing countries tried to reduce poverty by industrialization, but some of them did not find a suitable way. These failures attracted great attention from economists ( [10,12,13,15]), and some differential dynamical systems were set up to investigate the structure change, the movement of the labor force from the traditional resource-based sector to the modern sector, in small open economies ( [1,2,9,11,13]). Several reasons for the failure have been presented such as expansion of the urban informal sector and low absorption of labor in high productivity sectors ( [4,11,14]).…”

mentioning

confidence: 99%

Bifurcations in an economic model with fractional degree

Shi¹,

Zhang²

2021

DCDS-B

View full text Add to dashboard Cite

A planar ODE system which models the industrialization of a small open economy is considered. Because fractional powers are involved, its interior equilibria are hardly found by solving a transcendental equation and the routine qualitative analysis is not applicable. We qualitatively discuss the transcendental equation, eliminating the transcendental term to polynomialize the expression of extreme value, so that we can compute polynomials to obtain the number of interior equilibria in all cases and complete their qualitative analysis. Orbits near the origin, at which the system cannot be extended differentiably, are investigated by using the GNS method. Then we display all bifurcations of equilibria such as saddle-node bifurcation, transcritical bifurcation and a codimension 2 bifurcation on a one-dimensional center manifold. Furthermore, we prove nonexistence of closed orbits, homoclinic loops and heteroclinic loops, exhibit global orbital structure of the system and analyze the tendency of the industrialization development.

show abstract

Industrialization and environmental externalities in a Solow-type model

Cited by 20 publications

References 13 publications

Locational Determinants of Emissions from Pollution-Intensive Firms in Urban Areas

Locational Determinants of Emissions from Pollution-Intensive Firms in Urban Areas

Foreign direct investments, environmental externalities and capital segmentation in a rural economy

Bifurcations in an economic model with fractional degree

Contact Info

Product

Resources

About