The technical efficiency of local economies in Mexico: a failure of decentralized public spending

Becerra-Ornelas, Alejandro U.; Núñez, Héctor M.

doi:10.1007/s00168-018-0894-1

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Thus, Auci et al (2021) find evidence of a strong association between the size and the type of public expenditure and the aggregate technical efficiency levels of the European economies. In a study of Mexican municipalities, Becerra-Ornelas and Nunez (2019) examine the effect of public spending on technical efficiency of the local production and find a negative association between the two irrespectively of the expenditure type.…”

Section: The Estimation Of Technical Efficiency Levels and Their Dete...mentioning

confidence: 99%

Linguistic clustering and aggregate productive efficiency in Indonesia

Repkine

2023

AEA

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Purpose The purpose of this study is to explore the link between aggregate production efficiency and the extent of linguistic clustering in Indonesia. Design/methodology/approach The author draws on the stochastic frontier model and applies it to the data on Indonesian provinces to compute the effects of various determinants on these provinces' aggregate production efficiency. The key determinant is the spatial index of linguistic clustering that the author believes has never been applied before in this context. Findings Linguistic clustering is an important determinant of aggregate production efficiency. Linguistic diversity is positively associated with productive efficiency if members of a specific linguistic group are not clustered beyond a certain level. Originality/value To the best of the author’s knowledge, this is the first study that links the spatial index of linguistic clustering (because of Massey and Danton) to production efficiency. In other words, the contribution of this study is to introduce a geographical dimension to the mainstream analysis of the association between ethnic diversity and economic performance.

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Section: The Estimation Of Technical Efficiency Levels and Their Dete...mentioning

confidence: 99%

Linguistic clustering and aggregate productive efficiency in Indonesia

Repkine

2023

AEA

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“…With the deepening of research and increasing awareness of environmental protection, natural resource assets are gradually incorporated into the evaluation system of environmental governance efficiency; for example, water, forest, land, and other resource assets are used as input indicators [10]. The results of environmental governance efficiency assessment not only can help each region to carry out self-examination but also can help in carrying out horizontal comparisons, understanding the utilization efficiency of environmental resources between regions, and providing an effective reference for improving environmental governance [11][12][13].…”

Section: Efficiency Calculation and Index Selection For Environmental Protection Expenditure Of Local Governmentmentioning

confidence: 99%

Evolution of the Spatial Pattern of the Assets and Environmental Liabilities Conversion Rate and Its Influencing Factors

et al. 2021

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With the extensive development of the economy, environmental degradation has become a serious global issue. How to ensure the sustainable development of regional environments has drawn widespread attention from governments, academia, and the public. As an index to measure the efficiency of financial expenditure on the environment by local governments, the assets and environmental liabilities conversion rate (AELCR), along with the spatial pattern changes it presents and the factors it is affected by, is worthy of in-depth study. This study took the AELCRs of 31 provinces in China from 2012 to 2017 as the research objects, analyzed their spatial patterns and evolution using GeoDa software, and explored their spatial distribution using a spatial econometric model. The results show that, on the whole, China’s provinces were characterized by unbalanced economic development and large gaps in development levels, and there were significant differences in the efficiencies of fiscal expenditure for environmental protection between regions. Overall, there was a negative correlation between China’s neighboring provinces, and there was strong heterogeneity between provinces with a low conversion efficiency and the surrounding provinces. Locally, most provinces did not show significant spatial correlation, while the local similarities of the AELCRs decreased from 2012 to 2017, and the heterogeneities increased. Through the analysis of influencing factors, it was found that the urbanization level and provincial R&D investment positively increased the AELCRs, where the positive impact of urbanization was more obvious; resource tax and urban infrastructure investment were negatively correlated with the conversion rates, and the negative impact of resource tax was greater. The findings of this study provide important theoretical and practical implications for local governments to reasonably allocate environmental expenditure and improve their conversion rate of assets and environmental liabilities.

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Regional split and local government spending efficiency in Indonesia

Rambe

Alisjahbana

Wibowo

et al. 2022

Econ. manag. sustain.

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The research objectives are to (1) measure the efficiency of local governments in every province in Indonesia and (2) analyse the impact of regional splitting, GRDP per capita, population density, and fiscal capacity on the efficiency of local governments. This study employed per capita personnel spending, per capita spending on goods and services, and per capita capital spending. The output used in the dataset is the human development index. The first objective (local government efficiency) is measured by Data Envelopment Analysis (DEA), with VRS and an output-oriented model. DMUs are 34 provinces from 2013-to 2018. The second objective (the impact of regional splitting, GRDP per capita, population density, and fiscal capacity on efficiency) is measured by panel data regression with a random effect model. Results show that the always efficient provinces for 2013-2018 were Jakarta, Yogyakarta, and Banten. The study revealed 29 inefficient provinces in 2013, and this number increased to 31 inefficient provinces in 2018. Another finding is that regional splitting, GRDP per capita, population density, and fiscal capacity significantly impact local governments' efficiency. As inefficient provinces need to improve their efficiency, this study recommends that local governments focus on these four independent variables to strengthen their efficiency.

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The technical efficiency of local economies in Mexico: a failure of decentralized public spending

Cited by 4 publications

References 23 publications

Linguistic clustering and aggregate productive efficiency in Indonesia

Linguistic clustering and aggregate productive efficiency in Indonesia

Evolution of the Spatial Pattern of the Assets and Environmental Liabilities Conversion Rate and Its Influencing Factors

Regional split and local government spending efficiency in Indonesia

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