Environment and development economics 20 years on

Perrings, Charles

doi:10.1017/s1355770x14000369

Cited by 7 publications

(6 citation statements)

References 222 publications

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“…It shows that the FDI plays a more significant positive role in promoting the fishery industry development quality in these provinces. The positive role of FDI, on the one hand, reflects its important role in promoting China's fishery industry development quality as a common means of capital accumulation in developing countries, and further indicates that the development of China's fishery industry is still in the 'early stage of capital deepening' [5]. On the other hand, it also indirectly suggests that human capital, intellectual capital, social capital and other necessary capital in the middle and late industrial life cycle do not have a great impact on China's fishery industry (due to the availability and length of research data, this paper fails to measure their specific contributions).…”

Section: Spatial Differentiation Analysis Of Dominant Influencing Factorsmentioning

confidence: 99%

“…Economic development is one of the most dynamic and innovative fields in economic research in recent years. The corresponding development economics topics include not only agriculture and industrialization proposed by Zhang(1949) [1], but also innovation [2], industrial coordination [3], resources and environment [4,5], opening to the outside world [6], market monopoly and competition [3], poverty and poverty alleviation [7,8], individual ability and all-round development [9], etc. This paper summarizes it into five concepts: innovation, coordination, green, openness and sharing, which is exactly consistent with the New Development Concept advocated by China in recent years [10].…”

Section: Introductionmentioning

confidence: 99%

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Spatial-Temporal Characteristics and Influencing Factors of China’s Fishery Industry Development Quality: A Perspective From Development Economics

Yan¹,

Chen²,

Tian³

et al. 2022

Preprint

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By reviewing the research of development economics in recent years, five key terms of ‘innovation, coordination, green, openness and sharing’ are extracted, corresponding to the five dimensions of the New Development Concept advocated by China. Based on this, an evaluation index system of the development quality of China's fishery industry is constructed. The spatio-temporal characteristics of China's fishery industry development quality were analyzed by using the provincial panel data from 2007 to 2017. The results show that: i) China's fishery industry overall development quality continues to grow, while the variation of provincial quality is also increasing, and the contribution of innovation quality and sharing quality is increasing, becoming an important sub-dimension leading the overall development quality.ii) there is a significant spatial dependence among provincial quality, and the significance is further strengthening. The Hangzhou Bay area and Bohai Bay area have gradually become a dual-core area where the high-quality development of China's fishery industry agglomeration, and the radiation from the dual-core area to the peripheral areas may still be in the process of enhancement. The spatial and temporal distribution of China’s fishery industry development quality keeps the trend of ‘from northeast to southwest’, which is almost parallel to Hu Huanyong line. The gravity center of its distribution is close to the gravity center of Chinese population and economy, and the development quality experienced a process from relatively concentrated to dispersed and then returned to concentrated, and the development speed in the later period was higher than that in the earlier period. iii) Capital accumulation level is the dominant positive influencing factors, while government support level is the dominant negative influencing factors respectively, and both have significant spatial differentiation among provinces.

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Section: Spatial Differentiation Analysis Of Dominant Influencing Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Characteristics and Influencing Factors of China’s Fishery Industry Development Quality: A Perspective From Development Economics

Yan¹,

Chen²,

Tian³

et al. 2022

Preprint

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“…The economic growth of many African economies is closely related to natural resources, a fact which brings about various specific issues. Perrings (2014) presents an extensive analysis of negative side effects of economic growth based on exploitation of natural assets. He points to the fact that most of the standard economic growth models do not take account of externalities caused by exploitation of natural assets.…”

Section: Natural Resourcesmentioning

confidence: 99%

Economic Performance and Competitiveness Indicators: The Case of African Economies

Pošta

Nečadová

2021

Period. Polytech. Soc. Man. Sci.

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This paper presents a statistical analysis of the relationship between economic performance and competitiveness indicators to address the question of the extent to which competitiveness indicators provideuseful information when assessing economic performance. The analysis was performed on various examples of African economies. The possible relationships between economic performance and competitiveness indicators were examined by extending a basic relationship between economic performance per capita and investment by competitiveness indicators. The models were estimated by means of an Arellano-Bond estimator. The authors detected many statistically significant relationships between economic performance and competitiveness indicators in the cases of both the whole sample and specifically middle-income economies. However, in the case of low-income economies there are no discernible relationships between economic performance and the information included in the competitiveness indicators. The paper contributes to the analysis of the economic performance of African economies, for which the empirical evaluation of possible links between economic performance and competitiveness indicators is altogether missing.

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“…Specifically, it is estimated that CO 2 emissions represent about three quarters of global greenhouse gas emissions, whereby CO 2 is seen as a major contributor to climate change [4]. This justifies the steadily growing number of researches referring to CO 2 emissions and climate change [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Life Expectancy at Birth in Europe: An Econometric Approach Based on Random Forests Methodology

2020

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The objective of this work is to identify and classify the relative importance of several socioeconomic factors which explain life expectancy at birth in the European Union (EU) countries in the period 2008–2017, paying special attention to greenhouse gas emissions and public environmental expenditures. Methods: The Random Forests methodology was employed, which allows classification of the socioeconomic variables considered in the analysis according to their relative importance to explain health outcomes. Results: Per capita income, the educational level of the population, and the variable AREA (which reflects the subdivision of Europe into four relatively homogeneous areas), followed by the public expenditures on environmental and social protection, are the variables with the highest relevance in explaining life expectancy at birth in Europe over the perip.1 he peusto el correo e inciod 2008–2017. Conclusions: We have identified seven sectors as the main sources of greenhouse gas emissions: Electricity, gas, steam, and air conditioning supply; manufacturing; transportation and storage; agriculture, forestry, and fishing; construction; wholesale and retail trade, repair of motor vehicles and motorcycles; and mining and quarrying. Therefore, any public intervention related to environmental policy should be aimed at these economic sectors. Furthermore, it will be more effective to focus on public programs with higher relevance to the health status of the population, such as environmental and social protection expenditures.

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Environment and development economics 20 years on

Cited by 7 publications

References 222 publications

Spatial-Temporal Characteristics and Influencing Factors of China’s Fishery Industry Development Quality: A Perspective From Development Economics

Spatial-Temporal Characteristics and Influencing Factors of China’s Fishery Industry Development Quality: A Perspective From Development Economics

Economic Performance and Competitiveness Indicators: The Case of African Economies

Life Expectancy at Birth in Europe: An Econometric Approach Based on Random Forests Methodology

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