Regional development policies and the challenge to reduce spatial inequalities in Brazil

Randolph, Rainer

doi:10.1080/23792949.2019.1570824

Cited by 7 publications

(6 citation statements)

References 5 publications

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“…For the punishment intervention model shown in Table 3, the achievement of its intervention target {synergy, synergy} strategy must satisfy Equation (6).…”

Section: Conditions For Achieving the Target Of Punishment Interventionmentioning

confidence: 99%

“…Saunavaara [5]believed that regional coordination was to solve the problem of unbalanced and inadequate regional development with the help of policy planning. Randolph [6]proposed that regional cooperation should incorporate external ideas to coordinate the development of the first-mover and latemover regions. Tang Yalin [7] reviewed the history of the expansion of regional governance space in the Yangtze River Delta and found the competition mode of geographical adjacency and industrial homogenization.…”

Section: Introductionmentioning

confidence: 99%

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Regional Synergy: Congenital Dilemma and Acquired Intervention

Gao¹,

Hu²,

Wen³

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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Regional synergy would face a congenital "prisoner's dilemma" in the absence of external intervention. And it might be necessary to establish an intervention of subsidy intervention model, punishment intervention model or "subsidy + punishment" dual intervention model to make the region's behavior return to the optimal strategic goal of {synergy, synergy} rather than falling into "non-synergy" dilemma. Research three intervention model intervention goals agreed conditions, draw corresponding intervention variable scope. Based on the intervention model, gross synergistic effect was calculated. From the perspective of gross synergistic effect, the region prefers the subsidy + punishment dual intervention, while the society has no obvious preference for intervention. And then it could be expected to design a regional synergy model without compulsory intervention for reducing the impact of endorsement mechanism on synergies.

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“…For the punishment intervention model shown in Table 3, the achievement of its intervention target {synergy, synergy} strategy must satisfy Equation (6).…”

Section: Conditions For Achieving the Target Of Punishment Interventionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Regional Synergy: Congenital Dilemma and Acquired Intervention

Gao¹,

Hu²,

Wen³

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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show abstract

“…Competition between regions is increasingly concentrated on the level of combined power of urban agglomeration. Regional planning policy has become an effective way to reduce inter-regional disparities and promote coordinated economic and environmental development [18].…”

Section: Introductionmentioning

confidence: 99%

Can the Policy of National Urban Agglomeration Improve Economic and Environmental Gains? Evidence from Quasi-Natural Experiments with 280 Cities in China

Kong

Zhang

Meng

et al. 2022

IJERPH

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Urban agglomerations are an important symbol in the development of modernization. In this paper, we utilize the National Urban Agglomeration (NUA) policy as a quasi-natural experiment in the Chinese context. Adopting data from 280 cities from 2005 to 2019 as research samples, we use difference-in-differences (DID) and spatial difference-in-differences models (SDID) to examine the effect and mechanism of the implementation of the NUA policy on economic development and environmental pollution in China. The result shows that the NUA policy can achieve urban economic and environmental gains, which still holds after the robustness test. The heterogeneity analysis showed that the effects of the NUA policy are more evident in large and medium-sized cities. The curbing effect of the NUA policy on pollution emissions is apparent in the eastern region. Considering spatial heterogeneity, the expected economic and environmental benefits of the NUA policy are partially borne out. In addition to the green technology innovation, the NUA policy also influences regional economic development and environmental pollution through industrial agglomeration and the upgrading of industrial structures, respectively. It is essential to strengthen regional cooperation and establish the development concept of community interests between cities.

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“…This discussion is of great importance for Brazil, considering that the country’s unequal development is well-documented, and it is a product of unequal access to education, distinct productivity levels, industry agglomeration, access to credit, and public policies (Barufi et al 2016 ; Costa et al 2018 ; Randolph 2019 ; Santos 2018 ). He et al ( 2017 ) comment about the new economic geography and how distinct development levels result in contrasting energy efficiency use, urbanization levels, and consumption patterns, in addition to a transformation in the industrial structure that could lead to the optimization of resource allocation.…”

Section: Introductionmentioning

confidence: 99%

The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model

Polloni‐Silva

Silveira

Ferraz

et al. 2021

Environ Sci Pollut Res

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Since energy is one of the basic inputs for development, emerging economies should make an effort to investigate the environmental impacts of their fast economic growth. However, large emerging economies present significant regional heterogeneity that is usually uncounted for. This study uses the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model and regional data on the 27 Brazilian states to investigate the growth-CO 2 nexus under distinct development stages. To perform this analysis, we divided the states into three groups according to their average annual GDP (i.e., richer, intermediate, and poorer regions). The results suggest that richer and poorer regions, particularly, present economic and demographic developments that are environmentally costly. Also, population and per capita GDP have the largest influences on CO 2 emissions. The roles of the industrial sector and the ascending service sector are also subject to criticism. Moreover, Brazil arguably suffers from technological stagnation as its energy intensity is growing and boosting CO 2 emissions. We discuss the policy implications of these findings and suggest a future research agenda.

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Regional development policies and the challenge to reduce spatial inequalities in Brazil

Cited by 7 publications

References 5 publications

Regional Synergy: Congenital Dilemma and Acquired Intervention

Regional Synergy: Congenital Dilemma and Acquired Intervention

Can the Policy of National Urban Agglomeration Improve Economic and Environmental Gains? Evidence from Quasi-Natural Experiments with 280 Cities in China

The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model

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