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The purpose of this paper is to investigate the relationship between financial development and agriculture growth employing Cobb‐Douglas function by incorporating financial development as an important factor of production over the period 1971‐2011.

The autoregressive distributed lag (ARDL) bounds testing approach to cointegration with structural breaks is applied to examine long run relationship between the variables. The direction of causality is detected by vector error correction method (VECM) Granger causality test and robustness of causality analysis is tested through innovative accounting approach (IAA).

The empirical analysis confirmed that the series are cointegrated for long run relationship between agriculture growth, financial development, capital and labor. The results indicated that financial development has positive effect on agricultural growth. This implies that financial development plays a significant role in stemming agricultural production and hence agricultural growth. Both capital and labour in the agriculture sector also add to agricultural growth. The Granger causality analysis revealed bidirectional causality between agricultural growth and financial development. The robustness of these results is confirmed by innovative accounting approach (IAA).

This study has important policy implications for policy‐making authorities to stimulate agricultural growth by improving the efficiency of the financial sector.

This paper convincingly argues that there is a need for case‐by‐case study on such a project in view of each country's unique characteristics.

The purpose of this paper is to estimate the determinants of rural and national poverty, of income distribution, and of agricultural growth in developing countries.

Data for all variables are from the 2008 World Development Report. The author applies the least‐squares estimation technique in a multivariate linear regression.

It is found, from different size samples, that: the percentage of the rural population living below the national rural poverty line in a developing country is dependent upon the logarithm of per capita purchasing power parity gross national income and the region in which it is located; it linearly depends on its per capita agriculture value added and its geographic location; agriculture value added growth linearly depends on the share of women in the agricultural labor force, whether the developing country is agriculture‐based, and whether it is located in Europe or Central Asia; and agricultural productivity linearly depends on the amount of arable and permanent cropland per agricultural person, the share of women in the agricultural labor force, and the share of agricultural employment in total employment.

Statistical results in this paper will assist governments in developing countries assess the magnitude of agricultural policy variables in an effort to use agriculture as an engine for economic development.

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.

In the past few years, the concept of competitiveness developed by the World Economic Forum has become the focal point. Global competitiveness index (GCI) presents the constructs which are possible means of productivity of the country. The purpose of this study is to explore whether boosting the productivity of agriculture, services and industry sector is the possible channel of competitiveness leading to growth.

For this, panel GMM moderator model has been used for 16 low-income countries.

The results indicate that competitiveness helps agriculture and industry sector to become more growth productive, while it reduces the productivity of services sector.

This study urges that the gains from following the competition promotion policies overweigh the costs. Hence, low-income countries can break the low productivity trap.

This paper aims to provide an up-to-date analysis of the productivity in the agricultural sector within the states and union territories of India. Despite agriculture’s diminishing role as a share of overall gross domestic product (GDP) in India, it plays a crucial role by providing a large proportion of jobs to the workforce. Recognising agriculture’s central role in the economy as well as the significant diversity between the states in terms of resources, this paper estimates the total factor productivity (TFP) for Indian crops at the state level from 2000 to 2010 using both the growth accounting and the Malmquist Index Data Envelopment Analysis methodologies. The results highlight the possibility of increasing production with existing technologies by focusing on efficient resource deployment and enhanced management techniques.

The paper utilizes both growth accounting and the Malmquist Index Data Envelopment Analysis methodologies to estimate the growth of TFP at the regional level at the sub-national level (for states and union territories).

The results highlight the wide variations in the performance of states with respect to growth in TFP for the period 2000-2010. At the regional level, the Western region experienced the largest TFP growth, while the Eastern region experienced the lowest. At the state level, Gujarat registered the highest TFP growth, while Bihar emerged as a laggard with the lowest growth in TFP.

The results highlight the possibility of increasing production with existing technologies by focusing on efficient resource deployment and enhanced management techniques.

Although most of the existing literature focuses on national level analysis for India, this paper provides an up-to-date analysis of the productivity in the agricultural sector within the states and union territories of India. Correspondingly, the results are more applicable for these sub-national economies and offer more relevant policy implications.

In low-income economies agriculture plays an important role in promoting economic growth and reducing poverty. Agricultural growth achieved through diversification toward the higher value crops enhance income and mitigate risk. The present study focuses on one of the eastern Indian states namely “Jharkhand”; where agriculture is the mainstay for the 80% of its rural population. The state per-capita income is below the national average; however, it has registered an impressive growth, especially in the agriculture sector in the last one decade. In this study, the authors attempt to identify the components in sources of agricultural growth; the authors also estimate the determinants of overall agricultural growth.

The study is based on the secondary data from 2000–2001 to 2015–2016. This paper first decomposes the agricultural growth into area, price, yields (technological improvement) and diversification effects through the method of growth accounting approach. Secondly, the study employs the new classical growth model through the ordinary least square (OLS) to examine the determinants of overall agricultural growth.

The author's findings indicate that there has been a shift in cropping patterns from the cultivation of cereals to non-cereals in the state during the study period. Among the major crops, the area under pulses cultivation has increased by 19% from 2000–t2002 to 2014–2016. The increase in area under cultivation and the diversification in favor of higher-value crops have been the major reasons for the accelerating overall agricultural growth in the state along with improvements in technology. The study reveals that increased use of fertilizer per hectare, capital formation and road density are the main determinants of high agricultural growth in the state.

The study is based on secondary data and based on one state. A primary study to complement this could have been better. The limited data available for some of important variables related to mechanizations are also a limitation of the present study.

Several studies have analyzed the diversification and agricultural growth in India. With our best knowledge this kind of study has not been done so far for the state of Jharkhand in eastern India.

The purpose of this research is to examine the validity of the agriculture-induced environmental Kuznets curve (EKC) hypothesis with evidence from an autoregressive distributed lag (ARDL) approach with a structural break including real income and energy consumption in the model for Ghana over the period 1980–2014.

The ARDL approach with a structural break was used to analyze the agriculture-induced EKC model which has not been studied in Ghana. The dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) econometric methods were further used to validate the robustness of the estimates, and the direction of the relationship between the study variables was also clarified using the Toda–Yamamoto Granger causality test.

The ARDL results revealed that GDP, energy consumption and agricultural value added have significant positive effects on CO₂ emissions, while GDP² reduces CO₂ emissions. The Toda-Yamamoto causality test results show a bidirectional causality running from GDP and energy consumption to CO₂ emissions whereas a unidirectional long-term causality runs from GDP² and agriculture value-added to CO₂ emissions.

This finding validated the presence of the agriculture-induced EKC hypothesis in Ghana in both the short run and long run, and the important role of agriculture and energy consumption in economic growth was confirmed by the respective bidirectional and unidirectional causal relationships between the two variables and GDP. Thus, a reduction in unsustainable agricultural practices is recommended through specific policies to strengthen institutional quality in Ghana for a paradigm shift from rudimentary technology to modern sustainable agrarian technologies.

This study is novel in the EKC literature in Ghana, as no study has yet been done on agriculture-induced EKC in Ghana, and the other EKC studies also failed to account for structural breaks which have been done by this study. This study further includes a causality analysis to examine the direction of the relationship which the few EKC studies in Ghana failed to address. Finally, dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) methods are used for robustness check, unlike other studies with single methodologies.

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 investigate the impact or contribution of non-oil sectors on economic growth (GDP/capita) of some selected African countries using panel data analysis.

The paper focused on secondary data for the period 1991–2019 for macro parameters, including agriculture, industry, export and service, and GDP/capita received from World Development Indicators (WDI). Panel unit root tests like Levin, Lin and Chu test and Im, Pesaran and Shin test, Johansen co-integration test, Granger causality test and an error correction model were also applied to the data for analysis.

The study reveals no causality from agriculture to economic growth, which implies most of the African countries (used in this study) have neglected agriculture as a source of economic growth. The industry independent variable was of no effect on these countries’ economic growth, whereas the findings reveal that industry has causality on economic growth. Economic growth has no causality on the industry, which means the industry is not contributing to economic growth. The study also shows no causality from export and service to economic growth, but a causality runs from economic growth to export and service.

The paper examines the contribution of the non-oil sectors to economic growth in selected African countries.

Agriculture is the major source of livelihood for the majority of population in Sub-Saharan Africa but its productivity is not only low it has started showing signs of decline since 2012. The purpose of this paper is to find out whether official development assistance for agriculture is effective.

The data for development assistance for agriculture are broken down into the major agricultural sectors in receiving countries. The empirical evidence is based on the two-step system, i.e. generalized method of moments, to assess the degree of responsiveness of agricultural productivity to development assistance.

There is a positive relationship between development assistance and agricultural productivity in general. However, when broken down into the major agricultural recipient sectors, there is a substitution effect between food crop production and industrial crop production. Better institutions and economic freedom are found to enable agricultural productivity growth, and to increase the effectiveness of development assistance. The structural economic transformation associated with agricultural development assistance is also found to be weak.

Allocation of development assistance for agriculture is primarily determined by need, although expected effectiveness also increases the assistance receipts. Agricultural assistance policies could focus more on building productive capacity to reduce the need while boosting effectiveness.

Breaking down data into agricultural recipient sectors and controlling for the potential spurious correlation under the assumption that more development assistance could be allocated, where agricultural productivity is already increasing due to some other factors.