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By discussing the spatial spillover effect and regional heterogeneity of digital economy and green agricultural development level, this paper aims to provide countermeasures and suggestions for the better development of green agriculture in the contemporary era when digital economy is universally developed and at the same time provide development suggestions suitable for green agriculture's development characteristics and initial conditions for different regions.

This paper discusses the theoretical foundation of the digital economy and green agriculture development and utilizes panel data from 30 provinces in China from 2011 to 2018. By employing the Super-Efficiency Slack-based Measure and Malmquist-Luenberger (SBM-ML) model based on unexpected output to measure the total factor productivity of green agriculture and employing the spatial panel Durbin model to empirically test the spatiotemporal effects of the digital economy on green agriculture development from both temporal and spatial dimensions. Finally, the model is tested for robustness as well as heterogeneity.

The research findings are as follows: First, from the perspective of time effect, digital economy has a continuous driving effect on the development of green agriculture and with the passage of time, this effect becomes more and more prominent; second, from the perspective of spatial effect, digital economy has a significant positive impact on the development of local green agriculture, while digital economy has a significant negative impact on the development of surrounding green agriculture. Finally, the impact of digital economy on the development of green agriculture shows significant differences in different dimensions and regions.

As an important driver of economic growth, the digital economy has injected new impetus into agricultural and rural development. Along with the intensifying environmental pollution problems, how to influence the green development of agriculture through the digital economy is a proposition worthy of attention nowadays. This paper analyzes the relationship between the digital economy and agricultural green development in multiple dimensions by exploring the temporal and spatial spillover effects of the digital economy on agricultural green development, as well as the heterogeneity in different dimensions and in different regions and derives policy insights accordingly in order to improve relevant policies.

The decline in the share of agriculture in both output and employment is a central feature of structural transformation. The authors present the distinct features between developed and developing countries in the process of agricultural share decline and dig into the real changes that occurred in the agricultural sector during the rapid decline in the agricultural share.

Taking the declining share of agriculture as a clue, the authors depict heterogeneous characteristics in the declining share of agriculture in developed and developing countries. Secondly, by criticizing the factor substitution hypothesis, the authors argue that the essence of agricultural transformation is the process of agricultural industrialization characterized by the combination, reconstruction, and continual changes of agricultural production factors. Finally, based on the theory of agricultural industrialization, this paper analyzes the combination of factors in different stages of declining agricultural share in typical economies.

In this paper, the authors find that the rapid decline in agricultural employment share is accompanied by an increase in the returns to agricultural production in developed economies. In contrast, the decline in agricultural employment share in developing economies lags, and agricultural production efficiency is way much poorer than that of developed economies. Taking the United States and Japan as examples, the authors find that the agricultural sector underwent agricultural industrialization, featured by reconstruction and upgrades of production factors combination.

The authors systematically reveal why huge changes occurred in the agricultural sector in developed economies during structural transformation, and also provide further thoughts and lessons for developing countries to accomplish agricultural modernization.

The purpose of this paper is to assess the role of agriculture in economic growth and its interactions with other sectors of the Tunisian economy.

Johansen's multivariate approach is used to study the cointegration of the different sectors of the Tunisian economy and overcome the problem of spurious regression. Special attention is paid to investigate non‐causality between agriculture and other economic sectors.

Empirical results suggest that all Tunisian economic sectors cointegrate and tend to move together. In addition, weak exogeneity for the agricultural sector is rejected and this underlines the fact that the agricultural sector should be considered by policymakers in the analysis of intersector growth. However, in the short run, agriculture in Tunisia seems to have a partial role as a driving force in the growth of other non‐agricultural sectors and agricultural growth may be conducive only to the agro‐food industry sub‐sector. In addition, while Tunisia started improving quality of services and restructuring the banking sector to make it “internationally” viable, this paper's statistical results indicate that the agricultural sector does not fully benefit from the development of the commerce and services sector and the presence of credit market constraints continue to hamper growth of agricultural output in Tunisia.

Although high importance is placed on the agricultural sector, in the context of the Tunisian economy, the issue of agricultural contribution to the economic growth has often been raised by policymakers but rarely examined empirically.

The purpose of this paper is to examine differences in property institutions in the USA and India and their effects on agricultural productivity.

This paper undertakes a case study of industrial organization of agriculture, comparing agricultural development in the USA and India, with a focus on changes in farm size over time.

In the USA, unlimited individual land ownership has enabled the gradual, long-term development of scale economies in agriculture through the application of capital and technology. In contrast, land reforms in India, especially land ceilings that limit farm size, have stunted productivity growth in agriculture by limiting achievement of scale economies and capital formation.

The finding that India’s consistently meager agricultural productivity stems largely from legal limitations on land ownership indicates that reforms that create a US-style open-ended land ownership structure would greatly increase farm productivity and total crop output in India.

This paper presents a side-by-side analysis of the USA and India and their radically different paths of agricultural development over time, and connects these divergent outcomes directly to the underlying institutional framework of property rights. Moreover, the paper analyzes the prospects for pro-market reform in light of public choice political economy, specifically applying Tullock’s insights regarding the “transitional gains trap.”

Climate change has become one of the most important development challenges worldwide. It affects various sectors, with agriculture the most vulnerable. In Ethiopia, climate change impacts are exacerbated due to the economy’s heavy dependence on agriculture. The Ethiopian Government has started to implement its climate-resilient green economy (CRGE) strategy and reduce CO₂ emissions. Therefore, the purpose of this study is to examine the impact of CO₂ emission on agricultural productivity and household welfare.

This study aims to fill these significant research and knowledge gaps using a recursive dynamic computable general equilibrium model to investigate CO₂ emissions’ impact on agricultural performance and household welfare.

The results indicate that CO₂ emissions negatively affect agricultural productivity and household welfare. Compared to the baseline, real agricultural gross domestic product is projected to be 4.5% lower in the 2020s under a no-CRGE scenario. Specifically, CO₂ emissions lead to a decrease in the production of traded and non-traded crops, but not livestock. Emissions also worsen the welfare of all segments of households, where the most vulnerable groups are the rural-poor households.

The debate in the area is not derived from a rigorous analysis and holistic economy-wide approach. Therefore, the paper fills this gap and is original by value and examines these issues methodically.

Evaluating the economic effects of climate change is a pivotal step for planning adaptation in developing countries. For Bangladesh, global warming has put it among the most vulnerable countries in the world to climate change, with increasing temperatures and sea-level rise. Hence, the purpose of this paper is to examine how climate change impacts the economy in Bangladesh in the case of climate scenarios.

Using a dynamic computable general equilibrium (CGE) model and three climate change scenarios, this paper assesses the economy-wide implications of climate change on Bangladesh’s economy and agriculture. It is clear from the examination of the CGE model that the impacts of climate change on agricultural sectors were felt more sharply, reducing output by −3.25% and −3.70%, respectively, and increasing imports by 1.22% and 1.53% in 2030 and 2050, compared to the baseline.

The findings reveal that, relative to baseline, agricultural output will decline by a range of −3.1% to −3.6% under the high climate scenario (higher temperatures and lower yields). A decrease in agricultural output results in declines in agricultural labor and household income. Household income falls in all categories, although it drops the most in urban less educated households with a range of −3.1% to −3.4%. On the other hand, consumption of commodities will fall by −0.11% to −0.13%, according to the findings. Although climate change impacts had a relatively small effect on gross domestic product, reducing it by −0.059% and −0.098% in 2030 and 2050, respectively.

As agricultural output, household consumption and income decline, it will impact the majority of the population’s health in Bangladesh by increasing malnutrition, hidden hunger, poverty, changing food environment, changing physical and mental health status and a changing health-care environment. Therefore, population health and food security will be a top socioeconomic and political concern for Bangladesh Government.

The examination of the dynamic CGE model is its originality. In conclusion, the evidence generated here can provide important information to policymakers and guide government policies that contribute to national development and the achievement of food security targets. It is also necessary to put more emphasis on climate change issues and address potential risks in the following years.

Most of transitional (former socialist) countries still suffer from underdeveloped market mechanisms. In order to provide support for development of modern market mechanisms for the market of agricultural products, government experts within the Ministry of Agriculture and Forestry designed institutional information support – Market Information System in Agriculture of the Republic of Croatia – TISUP. This system is organised in order to prevent one of the most important market failures – insufficient and delayed dissemination of information that is crucial for the normal functioning of the market. The paper explores the functioning of the whole system and provides a general conceptional framework for understanding both market information systems and markets of agricultural products in Croatia and some other relevant countries/regions.

This paper aims to analyse the mainstream and emerging global challenges and trends in the global agriculture sector. The analysis leads to a discussion on the present state of the Russian agroindustry and possible future strategies for adaptation in the context of the rapidly changing global environment.

The design of this study is based on the application of the core methods of Foresight. First, a trend analysis is undertaken using reviews and expert methods. Trends identified are mapped using a social, technological, economic, environmental, political and value (STEEPV) framework to ensure that a broad range of trends are covered, which may be stemming from various factors affecting the agriculture sector. The analysis of the big picture of global trends and challenges, interacting with country-specific structural factors, translates are translated into the opportunities and threats, which will in turn help to develop possible strategies for adaptation.

This study develops two adaptive strategies for the development of the Russian agroindustry that are feasible in different short- and long–term time horizons. The first strategy is considered to be the most likely choice for the period before 2020. It includes radical imports’ substitution (of commodities as well as machinery and high-tech components) for ensuring national food security with inevitable temporary setbacks in efficiency and labour productivity. The second strategy, which becomes feasible after 2020, considers re-integrating Russia into global supply chains and expanding commodities exports (volumes and nomenclature) based on full-scale technological modernization with the use of international capital.

The study design is based on the assumption that Russia’s position as a country, which is highly self-sufficient on basic agricultural products and large exporter of crop commodities and fertilizers, will remain unchanged in the horizon of at least 20 years. However, long-term forecasts should also scrutinize the possibility of radical structural changes. Therefore, future research should concentrate on wild cards that can completely disrupt and transform the Russian agriculture industry and as well as the whole economy.

This paper suggests a number of recommendations on national science and technology policy for the three main industries of the Russian agricultural sector: crop husbandry, animal breeding and food processing (the fisheries sector is excluded from the scope of this paper). In addition, this paper proposes a number of measures towards alleviating the institutional barriers to raise the investment attractiveness of the sector.

The novelty of this paper lies in the originality of the research topic and methodology. The Russian agricultural sector has rarely been studied in the context of global agricultural challenges and threats taken on the highest level of aggregation beyond commodity market analysis or agro-climatic and logistics factors. There are few or no studies that lay out a map of possible long-term strategies of Russian agroindustry adaptive development. The Foresight methodology applied in this study is customized to better fit the practical purposes of the study.