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The purpose of this paper is to examine the factors that lead to the controversy within the existing empirical literature on the relationship between land tenure and agricultural investments in China.

This study conducts a meta-regression analysis (MRA) based on 265 samples from 29 selected studies. These studies are collected from different regions and populations; therefore, this study utilizes a random-effects meta-regression model to control between-study heterogeneity.

The empirical results show that the variable “land-related long-term investments” significantly affects the relationship between land tenure and agricultural investments. The variables: “ration land,” “land titling” and “land transfer rights” all have significant effects on this relationship, but at different levels. The study area (e.g. “western China,” “central/inland China,” “two regions contained”), “plot level,” “panel data,” “sample size,” “considered endogeneity” and “off-farm employment” variables all significantly influence the relationship. Additionally, the results show that the relationship is significantly affected by the survey time.

Policymakers should treat the existing research conclusions with caution and pay more attention to defining land tenure. The relationship between land tenure and agricultural investments also depends on regional resource availability. Therefore, land property rights policies should be region-specific in order to successfully encourage agricultural investments.

In this study, the author collectively examines existing empirical studies to investigate whether their inconsistent results are affected by research characteristics. To the author’s knowledge, this is the first study that analyzes land tenure and agricultural investments in China using MRA. Future research should refine the definition of land tenure, the selection of agricultural investment types, the research method and the method of data collection.

The purpose of this paper is to analyze the effects of public investment in agricultural R&D and extension on broadacre farming productivity in Australia.

An autoregressive integrated moving average (ARIMA) regression model is applied to estimate the effects of public investment in agricultural R&D and extension on Australian braodacre productivity.

The study reveals that public investment in agricultural R&D and extension has contributed almost two-thirds of average annual broadacre productivity growth between 1952-1953 and 2006-2007, the average internal rate of return to public investment in agricultural R&D and extension was 28.4 and 47.5 per cent a year, respectively, and overseas spill-ins is an important source of domestic agricultural productivity growth.

Policy implications: the findings suggest that increasing public investment in agricultural R&D and extension and maintaining agricultural R&D policy stability are equally important to have a sustained long-term agricultural productivity growth, and maintaining an open trade and investment regime is important to benefit from foreign knowledge spillovers which is especially important for developing countries.

This paper contributes to the existing literature by employing more sophisticated econometric techniques with an extended data set for the period from 1952-1953 to 2006-2007. The study separates the contribution of public R&D investment and the extension investment, and also takes into account the contribution of overseas public investment on the TFP growth in the Australian broadacre sector.

The purpose of this paper is to review China’s past returns in a period over the last 40 years to public agricultural and rural investments to highlight the importance for future strategic investments in China’s agri-food system and in rural areas.

The paper synthesizes research findings from previous studies and reviews more recent trends. Based on the main findings, the authors provide forward-looking guidance for China’s investments agriculture and rural areas in the context of emerging global and domestic trends in agriculture, food security, and nutrition.

Public investments in the agricultural research and development (R&D), rural education, and rural infrastructure have been shown to have significant positive returns to agricultural growth as well as to reductions in poverty and regional inequality. Returns to overall agricultural GDP were highest for agricultural R&D, followed by education, roads, and telephones. Investment in education had the greatest returns to poverty reduction, as well as to nonfarm GDP and overall rural GDP. Investment in agricultural R&D had the second greatest returns in term of poverty reduction, and was also a close second in returns to nonfarm GDP and overall rural GDP following education. The rural infrastructure spending also saw significant returns to poverty reduction, largely through growth in agricultural and nonagricultural sectors. Investments in agriculture and rural areas will continue to be important, as China and the world face emerging challenges amidst a changing global landscape, particularly regarding climate change, rapid urbanization, nutritional imbalances, and food safety concerns. In addressing these emerging challenges, continued support for agricultural R&D and innovations can play a key role.

The paper highlights research findings on key investment areas that will be increasingly important for China’s agri-food system, and provides guidance in the context of emerging trends impacting food security and nutrition.

The purpose of this paper is to evaluate the relative importance of different sources of finance for agricultural and non-agricultural investments using unique Smallholder Financial Diaries collected by Consultative Group to Assist the Poor (CGAP) in Mozambique, Pakistan and Tanzania at the individual and household level.

Following the analytical framework of variance decomposition developed in Samphantharak and Townsend (2010), this study develops a method to quantify how much each cash deficit associated to investments and expenses of interest co-move with different financing sources.

This paper finds that self-finance, rather than formal or informal finance from external providers, is the main financing source for long-term and short-term smallholder agricultural investments. Further, the paper finds that the main source of self-finance varies depending on the economic opportunities faced by smallholders, with non-agricultural income as the dominant financing source for some, while agricultural income dominating for others.

Given CGAP’s Smallholder Financial Diaries is not nationally representative, research results should be interpreted carefully. However, to the best of the authors’ knowledge, this is the first paper to analyze financing sources for smallholder households making use of high frequency financial data for individuals in developing countries.

These findings imply that financial inclusion policies specifically targeting smallholders and the agricultural sector would benefit from enabling the development of an ecosystem of diverse financial services that respond simultaneously to both agriculture and non-agriculture needs.

This is paper furthers the authors’ knowledge on how smallholder households are financing their agricultural investments. Moreover, it applies methods in new ways to exploit a unique data set.

With the rapid growth of the economy, people have increasingly higher living standards, and although people simply pursued material wealth in the past, they now pay more attention to material quality and safety and environmental protection. This paper discusses the lack of motivation for investing in fresh-keeping technology for agricultural products by individual members of an agricultural supply chain composed of a supplier and a retailer by means of mathematical models and data simulations and discuss the optimal price-invest strategies under different sales models.

First, based on the model of no investment by both sides (NN), this paper considers three models: supplier only (MN), retailer only (NR) and cooperative investment (MR). Then, the authors analyze the influence of consumer price sensitivity and freshness sensitivity on the investment motivation of agricultural products under four models. Subsequently, the paper makes a sensitivity analysis of the optimal strategies under several models, and makes a game analysis of the suppliers and retailers of agricultural products. Finally, we conduct an empirical analysis through specific values.

The results show that (a) when the two sides cooperate, the amount of investment is largest, the freshness of the agricultural products is highest, and the sales volume is greatest; however, when both sides do not invest, the freshness of agricultural products and sales volume are lowest. (b) The price and freshness sensitivity of the consumer have an impact on investment decisions. Greater freshness sensitivity corresponds to a higher investment, higher agricultural product price, greater sales volume, and greater supply chain member income and overall income; however, greater price sensitivity corresponds to a lower investment, lower agricultural product price, lower sales volume, fewer supply chain members and lower overall income. (c) The investment game between the supplier and retailer is not only related to the sensitivity to price and freshness but also to the coordination coefficients of interest. At the same time, the market position of agricultural products should be considered when making decisions. The market share of agricultural products will affect the final game equilibrium and then affect the final benefit of the supply chain and individual members.

These results provide managerial insights for enterprises preparing to invest in agricultural products preservation technology.

At present, the main problem is that member enterprises of agricultural supply chains operate based on their own benefits and are resistant to investing alone to improve the freshness of agricultural products. Instead, they would prefer that other members invest so that they may reap the benefits at no cost. Therefore, the enterprises in each node of the agricultural product supply chain are not motivated enough to invest, and competition and game states are observed among them, and such behavior is definitely not conducive to improving the freshness of agricultural products. However, the current research on agricultural products is more about price, quality and greenness, etc., and there are few studies on agricultural investment. Through the establishment of the model, this paper is expected to provide theoretical suggestions for the supply chain enterprises that plan to invest in agricultural products preservation technology.

The purpose of this paper is to critically examine the argument linking land registration to agricultural investment and to provide theoretical reasons as to why this linkage may not materialise in Africa within the short to medium term.

The paper takes the form of a critical review of the relevant literature on land registration, access to credit and agricultural investment; arguments are built on empirical studies found in the literature and theoretical concepts.

It has been established in this paper that the links between landed property registration and agricultural investments are made defective in Africa by factors such as poverty, lack of appropriate agro‐based infrastructure and the fact that land registration per se does not improve the profitability of agriculture, neither does it improve access to credit.

The fact that this paper is based on literature review may be seen as a weakness to some extent.

Even though previous researchers have looked at the relationship between landed property registration and agricultural investment in the developing world, they fall short of critically explaining why land registration has been found not to enhance agricultural investment. This paper fills the gap through a combination of various theoretical and practical arguments which could call for a rethinking on the policies for promoting agricultural growth. The rigorous theoretical argument may also provide the basis for further empirical research.

The purpose of this paper is to investigate the effects of foreign direct investment (FDI) into agriculture on domestic investment in agriculture.

Time series data from 1976 to 2007 was fitted to a derived model.

Foreign direct investment into agriculture crowd-in domestic investment into agriculture.

A targeted approach that will attract foreign direct investment into agriculture is required as to complement existing efforts at boosting domestic agricultural investment.

Numerous papers investigated the relationship between foreign direct investment and domestic investment at the aggregate national and regional levels. However, the evidence for this relationship has been conflicting. That for agriculture is rare. For Ghana, a developing agrarian economy that has promoted foreign direct investment for some decades now, it is imperative to establish the relationship between foreign direct investments and domestic investment. Also, the estimation was based on a theoretically derived model.

The purpose of this chapter is to analyze the impact of public agricultural Research and Development (R&D) investments on agricultural productivity and long-term food security to derive policy recommendations. The methodological approach is based on the application of the state-of-the art Computable General Equilibrium (CGE) model to R&D. By endogenizing R&D in global CGE models, it is possible to assess the impact of different public R&D policies on the food availability and food access of food security. This study found that R&D investments bring positive effects on the food access dimension of food security, particularly in places such as Sub-Saharan Africa where prices are expected to grow significantly by 2050, as agricultural land becomes scarcer and more expensive. Doubling the R&D intensity would soften the land constraints and substantially decelerate food prices, thus preventing the deterioration of living standards of rural households and leading to a gain in daily caloric consumption. The impact of alternative agricultural R&D policies on the various dimensions of food security has not been analyzed using a CGE framework, which enables capturing both the benefits and costs from R&D investments. Modeling the dynamic accumulation of R&D stocks makes it possible to analyze the effects of R&D on food security over time.

The purposes of the study are to compare the investment behavior of farmers in Kazakhstan as a transforming country and in Germany as a Western industrialized country as well as to analyze whether the investment behavior of farmers is consistent with the normative benchmarks of the net present value approach or the real options (RO) approach.

The paper conducted an experiment with 100 Kazakhstani and 106 German farmers. The first part of the experiment describes an investment opportunity in an agricultural and in a non-agricultural treatment. The second part refers to a Holt and Laury lottery to determine farmers' risk attitude that could influence the investment behavior.

The results show that both approaches do not provide an exact prediction of the investment behavior of farmers. However, German farmers invest later than Kazakhstani farmers meaning that the investment behavior of German farmers is closer to the RO approach. This might imply that German farmers are more likely to take into account the value of flexibility when making investment decisions than Kazakhstani farmers.

Since investment behavior is country-specific, it is worth investigating whether farmers from other transforming countries would show different investment behavior compared to farmers from other Western industrialized countries. Furthermore, decision-making behavior related to investments could be different from that related to disinvestments. Therefore, it may be interesting to analyze the disinvestment decisions of farmers in transforming and Western industrialized countries.

The results show that it is not acceptable to apply the results of experiments investigating the investment behavior of entrepreneurs in a transforming country to entrepreneurs in a Western industrialized country and vice versa. Furthermore, training for farmers is needed because there is still room for improvement in order to achieve the RO benchmark. Finally, taking into account RO effects could improve the results of policy impact analysis.

This is the first experimental study comparing the investment behavior of farmers from a transforming country and from a Western industrialized country.

The study aims to find the synchronization between foreign agriculture investment (FAI) and Sustainable Development Goals (SDGs) related to agriculture as classified by the Food and Agriculture Organization (FAO). The study tries to find such an association in India over 2 decades from 2001.

The Toda-Yamamoto Granger using the M-Wald test for the non-causality procedure is applied to find the synchronization. Stationarity is tested using the Augmented Dickey-Fuller, Phillips-Perron and Kwiatkowski, Phillips, Schmidt and Shin (KPSS) tests. The Johanson methodology with MacKinnon-Haug-Michelis P-value is employed for the Cointegration test.

The empirical results indicate that the FAI Granger cause SDG2 “Zero hunger” and “Overall sustainability”, but SDG13 “Climate Change”, SDG6 “Clean water and sanitation”, SDG12 “Responsible production and consumption” and SDG15 “Life on Land” granger cause global investments. Notwithstanding, SDG5 “Gender equality” and SDG14 “Life below water” found no-way causality with FAI.

Host governments should prioritize sector-level sustainable development, notably agricultural SDGs, to attract global investments. Foreign agriculture investment is influenced differently by various SDGs; thus, policymakers should concentrate on specific agricultural SDGs to enhance the flow of capital into the agriculture sector. Global investors should take sustainability into account while framing foreign investment plans, and the supra-national organization may consider global agricultural investments while addressing the problems related to global food security.

The distinguishing feature of the study is that SDGs classified by the FAO from a global investment perspective have not been studied so far.