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The purpose of this study is to identify and review strategic government policies on agricultural financing in Egypt, Morocco, Nigeria and South Africa. Four factors dictated the choice of these countries. In the first place, the study is set in African emerging markets – and the four countries are the widely acknowledged emerging markets in Africa (Onyiriuba, 2015). Secondly, the spread of the countries, to a large extent, mirrors Africa in general – Egypt and Morocco are in North Africa; Nigeria is a West African country; and, of course, South Africa. Thirdly, other countries in Africa tend to look up to the four countries, apparently as the largest economies in their respective regions. Needless to say, Nigeria alternates with South Africa as the largest economy in Africa. In this capacity, the two countries influence – indeed, mirror – continental Africa's emerging economic progress. Fourthly, lessons from agricultural policy and financing experiences of the four countries will certainly be useful to the other African countries. The specific objective of this paper is to determine how the government seeks to address the financing issues attendant on the risk-laden nature of agriculture through policy interventions. With this end in view, the paper analyses the strategic goals, objectives and beneficiaries of the agriculture financing policies of the government, as well as the constraints on access to finance by the farmers and the policy response.

The study involves a review of empirical literature and government policies on agricultural financing in Egypt, Morocco, Nigeria and South Africa. The high risks in agriculture (Onyiriuba, 2015; Mordi, 1988), risk aversion behaviour of banks towards agricultural financing (Onyiriuba, 2015, 1990), and the reluctance of insurers to take on agricultural risks (World Bank, 2018; Federal Republic of Nigeria, 2016; Onyiriuba, 1990; Mordi, 1988) underpin this methodology. There are two other considerations: the needs to find out how government seeks to address the financing issues in agriculture through policy intervention, and to avoid unwieldy research, one that combines government and institutional policy perspectives on agriculture financing. Thus the study is not approached from the perspective of banks and other lending institutions; neither does it combine government and institutional policy perspectives. It rather focuses on government policy in order to properly situate implications of the findings.

The authorities seek to get rid of bottlenecks, ease participation and redress constraints on access to finance in agriculture through policy interventions as a means of sustainable economic growth. The findings are characteristic of emerging markets, rooted in the transitional challenge of opening economies, economic reforms and the March of progress. However, with agriculture and natural resources – rather than industrialisation – as the main stay of their economies, the African emerging markets face an uphill task in their development efforts. This is evident in the divergent and gloomy pictures in which the literature paints their agricultural economies.

Government should gear financing policies to boost output as a means of ensuring food security. It should address risk aversion tendencies among the lenders and feeble credit guarantee, subsidies and budgetary allocations to agriculture. This will ensure effective commitment of the lenders to agriculture and underpin agricultural insurance. However, it demands strengthening links in the chain of access to, and monitoring of, credit for agricultural production. A realistic policy response should target the rural economy – with youth, women and smallholder farmers as ultimate beneficiaries. These actions should be intensified as measures to boost farming and the rural economy.

Current literature fails to situate the empirical findings in emerging markets context, reflecting economies in transition. Besides, in its current state, the literature does not explicitly clarify that agriculture, like most other sectors in such economies, is bound to experience the observed financing constraints. Neither does it clearly reflect how and why the findings should be seen as fleeting realities of the March of progress in transitional economies. This study will help to fill the gap.

The purpose of this paper is to focus on labor movement in the agricultural sector of Taiwan to clarify the relationship between agricultural policy and the agricultural adjustment problem by estimating the labor movement function.

The relationship between agricultural policy and the adjustment process of agricultural labor in Taiwan was analyzed by modeling labor movement between the agricultural sector and other sectors. Through empirical analysis of labor migration function, it is clear that the following policy factors, affect the incentive for labor migration, and obstruct off‐farm labor migration: the price support policy; the incomplete farmland conversion regulations, which increase farmers' farmland possession motive; and government agricultural expenditure, which includes direct transfers to the agricultural sector.

The study confirms that after the late 1980s the factors that obstruct agricultural adjustment much more than the price support policy are the incomplete farmland conversion regulations and increasing government agricultural payments, from the result of the simulation with the influence of the policy eliminated.

The implication of this paper is that even though Taiwan has been participating in World Trade Organization from 2002 and consented to cut the tariff on agricultural products and reduce agriculture support policies not linked to production, a delay in labor adjustment between the agricultural sector and other sectors may not necessarily be eliminated if there are other policy factors that affect the incentive for off‐farm migration by farmers.

Many studies use the labor migration function for empirical analysis, but most of them estimated the function by a simple single regression which shows that the labor movement from the agricultural sector to the other sectors increases as a result of an expanding wage gap. However, off‐farm labor movement reduces the wage gap between sectors adversely. Therefore, a reverse causal relation exists between labor movement and the wage gap between sectors. The endogeneity problem was considered as analyzing the measurement of the labor migration function.

This study aims to explore possible ways to promote uptake and integration of climate-smart agriculture (CSA)-Technologies, Innovations and Management Practices (TIMPS) into policy and practice in Nigeria through the development of actionable roadmaps to facilitate the process.

Two hundred and fifty-two stakeholders for the policy discourse and survey were purposively drawn from both government and private agencies, NGOs and community-based associations from the six geo-political zones of the country. Data collection was done using a mixed method comprising questionnaire administration, in-depth interviews and panel discussion. Data collected was summarised using descriptive statistics.

The major findings were lack of existing policies on CSA, lack of farmers’ awareness of CSA-TIMPs, neglect of extension programmes that can help to enlighten farmers on the importance of CSA and insufficient extension personnel to cater for farmers’ needs. Challenges to CSA-TIMPs uptake in Nigeria were: insufficient funding and support by government in programme planning and implementation, policy inconsistencies and poor farmers’ attitude and resistance to change.

This research will facilitate CSA uptake and integration through the provision of data for informed decision and action by the responsible agencies.

Suggested actionable roadmaps across the zones were robust awareness campaign and advocacy on uptake of CSA-TIMPs through e-extension, community TV/radio in local dialects; revitalisation of policy programmes such as monthly meetings should be reintroduced and creation of CSA Departments/Stations in each state; increased budget allocation to a minimum of 10% for agriculture, revitalisation of Researchers-Extension Agents-Farmers Linkage, employment of qualified extension agents and retraining of extension agents.

In recent years, prices for prime farmland have increased substantially, begging the question is the dramatic increase the result of a speculative bubble or consistent with market fundamentals with increases driven by increased global demand, low interest rates, and recent changes to US agricultural and energy policies. The purpose of this paper is to investigate the impacts of recent agricultural support policies and ethanol policies on farmland values and rental rates.

Farm-level Agricultural Resource Management Survey data collected by the United States Department of Agriculture (USDA) between 1998 and 2008 as well as county-level data collected by the USDA, US Census Bureau, and Bureau of Economic Analysis are used to determine the impacts of recent agricultural support policies and ethanol policies on farmland values and rental rates, while controlling for parcel characteristics and urban pressure. Specifically, weighted ordinary least squares and two-stage least squares are used to investigate the impact of various governmental agricultural support policies, corn ethanol facilities location, and local corn ethanol production capacity on farmland values and rental rates.

The results indicate that government payments, urban pressure, and the proximity of the parcel to an ethanol facility have a positive impact on both farmland values and rental rates. More specifically, parcels located in the same county as at least one corn ethanol facility are more valuable and command higher rental rates. In addition, county-level ethanol production capacity is positively associated with farmland values and rental rates. An inverse relationship between distance of the parcels from an ethanol facility and farmland values is also found; a similar result is found for rental rates.

The findings suggest that agricultural support payments and ethanol policies are capitalized into farmland values. These findings have important implications for the formulation of future farm policy. A limitation of the analyses is that farmland values are estimated by landowners; future research could utilize farmland transaction data to overcome potential biases generated by using landowner estimates. In addition, while our study period covers 11 years, future research could expand the time period further to analyze the effect of more recent agricultural and ethanol policies.

This paper extends prior research pertaining to factors influencing farmland values and rental rates by also examining the proximity of the parcel to an operating ethanol facility using a unique data set.

The purpose of this paper is to quantify the implications of China's recently adopted agricultural policies on domestic and international commodity markets.

A systematic, quantitative analysis is applied to address whether China's recent trade and production policies distort China's domestic and international commodity markets. The paper provides a clear picture of how trade‐restricting policies affect markets using a 42‐country partial equilibrium global dynamic agricultural simulation model.

The paper shows that recent agricultural policy reforms increase China's production slightly, causing imports to decrease while exports decline because of input subsidies, export taxes and the reduction of export value added tax rebates. Domestic prices to consumers decrease in real terms. The effects on world markets are small as the set of policies adopted partially offset each other in the international arena.

The paper indicates that the adoption of the policy reforms lower price levels domestically and benefit lower income urban and rural households, whose diets are largely based on rice and wheat as staple foods. Future model enhancements should include measures of producer and consumer welfare in order to capture the total impacts of policies and policy changes in China.

The paper quantifies the potential implications of the recent agricultural policy reforms in China. This contributes to the investigation of the effects of these policies implemented by the Chinese Government to achieve the country's policy objectives. Owing to the dynamics of China's policy implementation an in‐depth analysis sheds light and contributes to capturing the impacts of policy reforms on the domestic and international markets.

The study aims to identify the dynamic complexities and development points of the entrepreneurial ecosystem (EE) in the agricultural sector of Iran to improve production factors' productivity, including arable land, water resources and human capital.

First, the EE of the agricultural sector in Iran was designed following Isenberg's framework. Then, the main variables and interrelationships of the variables in each context of the ecosystem, called subsystems, were formulated using the system dynamics (SD) approach. Next, the model was simulated and validated. Afterward, different policy options were identified, embedded into the model structure and simulated. Finally, the best policy group was selected.

According to Isenberg's EE model, three groups of policies were identified and evaluated, including “entrepreneurship development financing and investment policy,” “agricultural ecosystem's supportive services development policy” and “production factors productivity development policy.” According to the simulation results, the best combination of the solution strategies was recognized. The presented SD-EE model has a generic nature in the agricultural sector and could be modified to be applied in different regions for policy-making purposes.

The main contribution of the study is twofold. First, Isenberg's EE framework is applied to structure the main subsystems and interrelationships of the subsystems in the agricultural sector that has previously received limited attention. Second, the research is the first to operationalize the basic theory of Isenberg's EE in practice applying a robust systemic modeling methodology like SD.

China's economy has transformed from a high-speed growth phase to a high-quality development phase. The agriculture sector has grown substantially since the economic reform in 1978. Considering the five-year plan (FYP) as a collection of policies, this study explores the relationship between the FYP and agricultural total factor productivity (TFP).

This study uses 31 provincial-level panel data of the five FYPs from 1996 to 2020. The data envelopment analysis (DEA) is used to compute Malmquist productivity indexes. The authors analyze the temporal and spatial changes and convergences of China's agricultural TFP, and investigate the impact of economic planning on China's agricultural TFP and its regional difference.

There is a slow but upward growth trend in China's agricultural TFP. The technical change has played a leading role in the growth of China's agricultural TFP. The agricultural TFP of all provinces has shown a “catch-up” effect and is developing toward their respective steady-state levels. The regional difference in productivity growth among the eastern, central and western regions exists. Test results show that the FYP has a positive effect on the agricultural TFP, and the effect has obvious regional heterogeneity. The FYP also plays a positive role in the gross value of agricultural output, and the impact effect is greater than that on the improvement of agricultural productivity.

There are many forms of industrial policy in China, among which the FYP is the guiding document of industrial policy, which makes a systematic plan for industrial development in the subsequent five years. The development objectives, guidelines and overall deployment for agriculture in the FYP not only describe the general context of China's agricultural development but also show the key ideas of agricultural development. Therefore, this study explores its impact on agricultural quality development from the perspective of FYP. The results provide evidence for examining the governance performance of the government and the objective evaluation and restraint of the FYP. As agriculture moves toward the stage of high-quality development, the Chinese government should strengthen the critical guiding role of the FYP and pay attention to quality indicators such as technical progress, efficiency improvement and regional coordination in the formulation of the FYP.

On joining the EU in 1995 Finland had to adopt its national agricultural policies to follow the principles of the EU Common Agricultural Policy (CAP), its accompanying measures and the environmental legislation of the EU. This led to changes in the national decision making processes, administrative procedures and operational practices. In this paper institutional analysis is used to describe and interpret these changes and the significance of these changes for policy development. The results show that learning is a key for successful policy process.

China's Government in 2015 announced its goal of stabilizing the use of fertilizers and pesticide by the year 2020. However, implementation of effective policies is not straightforward, while one may even argue that the policy goal is by far not ambitious enough. Hence, it is useful to look at experiences of other countries that have gone through a similar process. In this paper, the authors explicitly consider the case of European Union's (EU’s) policies aimed at greening agriculture. The choice for the EU is motivated by the fact that the EU is about 35 years ahead of China in implementing a policy agenda to counter the problems China is facing now.

In this paper, the authors focus on agricultural inputs, in particular fertilizer and pesticides, as well as land use and their impact on food safety, air and water quality, soil degradation, greenhouse gas (GHG) emissions and biodiversity. Policies related to those issues are discussed for both, China and the EU. Given that implementation and monitoring are critical for the success of policies, the authors also discuss how policies are implemented and monitored under different governance and institutional conditions.

From the EU experiences, positive and negative, three central lessons are drawn: (1) China should strive for cross compliance but in two steps. In the first step, arrangements for on-farm monitoring must be made, coupled with a pilot program of cross-compliance conditions for large farms in selected counties; in the second step, cross-compliance requirements must be introduced for all farmers, with additional funds for rural development in vulnerable areas. (2) Strong stakeholder commitment should be sought in the formulation as well as implementation of greening policies. (3) Monitoring of greening results should be harmonized and standardized across the country, with a limited number of indicators.

This paper contributes to the policy discussion by comparing the agricultural greening measures in the EU (which was some 35 years ago in the same situation as China now) with the measures taken in China so far.

The paper aims to assess the impact of agricultural output changes on the general price level over time with China as an example.

A simple numerical global general equilibrium (GE) model of two regions (China and the rest of the world) and three commodities (agriculture, manufacturing goods, and services) is used to assess the impacts of agricultural output changes on the overall economy price changes. The numerical GE model of this paper consists of production, final consumption, and market clear conditions. The results are generated with the GE model calibrated to aggregated China's input‐output tables of 1987, 1997, and 2005.

The results suggest that China witnessed a declining influence of agricultural output changes on general price changes. The contribution of given agricultural output change on the general price change in 2005 was merely less than 60 percent of that in 1987, which in turn implies that macro policies targeting to curb general inflation via boosting agricultural output will be less effective as those of 20 years ago.

China's policy makers should rely less and less on promoting agricultural output policies to fight against general inflation and should resort to non‐agricultural policies.

The paper argues that the influence of agriculture on the China's general price indices has been weakening along with China's economic development with a numerical GE model calibrated to aggregated China's input‐output tables of 1987, 1997, and 2005.