World agricultural convergence

Yuan, Lingran; Zhang, Shurui; Wang, Shuo; Qian, Zesen; Gong, Binlei

doi:10.1007/s11123-021-00600-5

Cited by 13 publications

(4 citation statements)

References 88 publications

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“…Shang (2015) reviews the family of model averaging methods and uses the jackknife method to study the productivity of 112 countries over the period from 1960-2012. Gong (2020a) adopts the jackknife method to predict agricultural productivity in China, while Yuan et al (2021) uses this approach to estimate world agricultural efficiency.…”

Section: Aggregation Method: Single-to Multi-dimensional Analysismentioning

confidence: 99%

Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014

Yuan

Zhang

Wang

et al. 2022

IFAM

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General Agreement on Tariffs and Trade (GATT) was notable in largely excluding agriculture whereas the World Trade Organization (WTO) brought agriculture into the world trade rules. This article aims to evaluate the impacts of trade on agriculture production and productivity, especially the changes between the GATT and WTO periods. Using a panel of 126 countries from 1962-2014, this article derives not only spillover effects that were overlooked, but also provides more accurate productivity than was estimated with bias in literature for both periods. We find that trade hindered agriculture production and productivity in the GATT period but improved agriculture production and productivity in the WTO period.

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Section: Aggregation Method: Single-to Multi-dimensional Analysismentioning

confidence: 99%

Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014

Yuan

Zhang

Wang

et al. 2022

IFAM

Self Cite

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“…Comprehensive analysis of multiple emergy indicators can better reveal the quality of sustainable intensification of agroecological economic systems. In view of this, we refer to Baráth and Fertő [ 32 ] and Yuan et al [ 33 ] for a comprehensive measure of the intensity of agricultural sustainability in China using three comprehensive indicators: (1) emergy yield rate (EYR), the greater the value, the greater the contribution of external resources to create available resources; (2) environmental loading rate (ELR), a larger ELR indicates that agricultural production uses more non-renewable resources relative to renewable resources; and (3) emergy sustainability index (ESI), the higher the value, the greater the sustainable development capability. The variables are defined in Table 3 .…”

Section: Methodsmentioning

confidence: 99%

Evaluating Agricultural Sustainability and Green GDP in China: An Emergy Analysis

Hu¹,

Lyu

Zhang

2022

IJERPH

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Agricultural sustainability is the foundation and a guarantee of sustainable human reproduction. The scientific assessment of China’s agricultural sustainability is a prerequisite for properly resolving the conflict between short-term economic interests and long-term ecological security. This paper uses the emergy analysis method to estimate agricultural sustainability in China and further calculates the agricultural environmental cost and green GDP. The results show that China’s agricultural emergy yield rate (EYR) is generally greater than 1. This means that more emergy is obtained in relation to renewable and non-renewable inputs from human activity, which also indicates that China’s agricultural agroecosystem is characteristic of a profound transition from a self-supporting tradition to a modern industry based on external economic resource consumption. In contrast, China’s agricultural growth is mainly driven by the input of a large amount of non-renewable resources, which makes the environmental loading rate (ELR) increase year by year, resulting in the deterioration of China’s agricultural emergy sustainability index (ESI). China’s agricultural green GDP accounts for about 94.4% of traditional GDP, which means that the average agricultural environmental cost is about 5.6%, mainly from land loss, accounting for 48.23% of the environmental cost.

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“…Several authors have studied convergence in agriculture, for example, Yuan et al (2021), which analyse whether world agricultural convergence can be observed. The authors use a model averaging method to consider both a parametric and a semiparametric stochastic frontier model to better estimate technical efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Greenhouse gas emissions from Brazilian agriculture and convergence clubs

Amorim

Silva

Tabosa

et al. 2023

International Review of Applied Economics

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This work aims to assess whether there is a convergence in the emission of Greenhouse Gases (GHG) in the states of Brazil. To achieve this objective, the Phillips and Sul (2007) time series methodology was employed, testing the hypothesis of global (or common) convergence, using data from the Greenhouse Gas Emissions and Removal Estimation System (Sistema de Estimativas de Emissões e Remoções de Gases do Efeito Estufa -SEEG), for the period of 1989-2018, which provides the emission, in tons, of Carbon Monoxide (CO) in agriculture and livestock, as well as of Carbon Dioxide (CO2), for changes in land and forest use. Among the main results, the formation of different convergence clubs is suggested, rejecting the hypothesis of global convergence, and thus presenting four convergence clubs for the CO pollutant and three clubs for the CO2, with two divergent states. When analysing the convergence clubs, it was found that there was a significant reduction in CO emissions in all clubs, and while analysing the CO2, only two of the clubs, which were clubs 3 and 4, managed to reduce their emissions.

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World agricultural convergence

Cited by 13 publications

References 88 publications

Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014

Effects of international trade on world agricultural production and productivity: evidence from a panel of 126 countries 1962-2014

Evaluating Agricultural Sustainability and Green GDP in China: An Emergy Analysis

Greenhouse gas emissions from Brazilian agriculture and convergence clubs

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