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The purpose of this paper is to reveal the distributional characteristics and evolutional patterns in source periodicals, topics, authors, funding, and institutes of research papers in Chinese Agricultural Economics so as to understand the current situations and developmental tendency of Chinese agricultural economics research over the past decade.

Using the citation analysis method, this paper analyzed the distributional characteristics and evolution of source periodicals, fields, authors and topics of 2,203 highly cited journal papers from the database of China National Knowledge Infrastructure (CNKI) and 189 cited journal papers from database of Social Sciences Citation Index (SSCI) in agricultural economics first-authored by Chinese scholars from 2006 to 2015.

First, over the past decade, agricultural economics research in China has seen a rapid development. Specially, 103 scholars and 42 institutes have played key roles in the development, and 12 Chinese periodicals and 3 international journals have been the most influential outlets. Second, the coverage of the topics in Chinese agricultural economics research is broad and has expanded over the past decade. The rural land issue has been the most popular topic, while the issues regarding rural institutional arrangements and industrialization in rural areas have been explored extensively. However, issues in other fields, such as agricultural markets and trade, rural labor, food safety, etc. have to be further studied. Third, the improvements of economic theory and quantitative analytic techniques, the supports from research funding, and an increase in the collaboration between Chinese scholars and those from other countries have made great contribution to the rapid development of Chinese agricultural economics research over the past decade.

This paper is an original work that identifies the most influential journal papers including highly cited journal papers from CNKI and cited journal papers from SSCI, using citation frequency and standard Essential Science Indicators method. This is a contribution relative to the methods used by previous studies, which did not account for frequency of citation of a paper. Moreover, this study is based on data from two databases, CNKI and SSCI, suggesting that the coverage of sample papers is broader compared to those of previous studies.

This paper traces the timeline and milestones of Chinese graduate students in agricultural economics and related fields at foreign universities, with an emphasis on North American universities, since the early 1980s, and assesses the contributions of Chinese doctoral recipients from foreign universities to agricultural economic research and education in North America and China.

Data from department and college websites, associations of agricultural economics, university libraries and databases of theses and dissertations and selected agricultural economic journals in English and Chinese are used to attain the above purposes through graphical and bibliometric analyses.

First, the numbers of Chinese doctoral recipients and tenure-track and tenured faculty in agricultural economics at North American universities have increased steadily and significantly. Second, Chinese scholars in North America have achieved tremendous success in agricultural economic research via high-quality publications, prestigious awards, editorship of top journals, leadership in professional organizations, etc. Third, more Chinese doctoral recipients overseas have increasingly returned to China and are playing important roles in China’s agricultural economic research, education and international collaboration. Fourth, the publications of overseas Chinese scholars in Chinese journals and those of their counterparts working in China on topics beyond China are relatively limited and more collaboration may enhance the global impacts of Chinese agricultural economists.

This research is limited by data availability and quality and the data problems are discussed in the paper.

This is likely the first study to assess the contributions of Chinese doctoral recipients from foreign universities to agricultural economic research and education in China and abroad.

The first Wisconsin Ph.D.s who came to MSU with an institutional bent were agricultural economists and included Henry Larzalere (Ph.D. 1938) whose major professor was Asher Hobson. Larzalere recalls the influence of Commons who retired in 1933. Upon graduation, Larzalere worked a short time for Wisconsin Governor Phillip Fox LaFollette who won passage of the nation’s first unemployment compensation act. Commons had earlier helped LaFollette’s father, Robert, to a number of institutional innovations.⁴ Larzalere continued the Commons’ tradition of contributing to the development of new institutions rather than being content to provide an efficiency apologia for existing private governance structures. He helped Michigan farmers form cooperatives. He taught land economics prior to Barlowe’s arrival in 1948, but primarily taught agricultural marketing. One of his Master’s degree students was Glenn Johnson (see below). Larzalere retired in 1977.

This study aims to investigate the long-run relationship between financial inclusion and agricultural growth in Pakistan for the period of 1960–2018.

The autoregressive distributed lag (ARDL) approach, the Johansen co-integration test and the dynamic ordinary least squared (DOLS) method are used for the evaluation.

The results show that in both short- and long run, domestic credit has a significantly negative impact on the agricultural growth, while broad money and cropped area positively affected the agricultural growth in Pakistan in both cases.

The government and policymakers need to develop strategies that bring together agriculturalists on a single platform so that the government can clearly distinguish the interests of these farmers and can obtain precise information for allocating agricultural expenditure and easing access to credit for small-scale agriculturalists.

This is the first study to evaluate the impact of financial inclusion on the agricultural growth in Pakistan by using different econometric techniques, including the ARDL-bound approach, Johansen co-integration test and DOLS method.

The American agricultural economist Marion Clawson advised the Israeli government during 1953–1955. Clawson, a protégé of John D. Black and Mordecai Ezekiel, criticized the government for ignoring economic considerations, and stated that Israel’s national goals – defense, Negev Desert irrigation, immigrant absorption via new agricultural settlements, and economic independence – were mutually contradictory. His major recommendations were to improve the realism of Israel’s agricultural plan; end expensive Negev irrigation; enlarge irrigated farms eightfold; freeze new settlements until the number of semi-developed settlements falls from 300 to 100; and limit new Negev settlements to 10 over 5–7 years. Thus, Clawson ignored political feasibility and made value judgments. Minister of Finance Levi Eshkol and Minister of Agriculture Peretz Naphtali rejected Clawson’s recommendations because they ignored Israel’s national goals. By September 1954, Clawson shifted towards greater pragmatism: He acknowledged that foreign advisors should not question the national goals or make value judgments, and sought common ground with the Ministry of Agriculture. At his initiative, he wrote Israel Agriculture 1953/54 in collaboration with the Ministry of Agriculture. Israel Agriculture was a consensus document: Clawson eschewed recommendations and accepted that the government might prioritize non-economic goals. In proposing Israel Agriculture, Clawson made a pragmatic decision to relinquish some independence for (potentially) greater influence. Ultimately, Clawson was largely unsuccessful as an advisor. Clawson’s failure was part of a general pattern: Over 1950–1985, the Israeli government always rejected foreign advisors’ recommendations unless it was facing a severe crisis.

The purpose of this paper is to determine if the agribusiness sector can be an initiator of export on the emerging markets. For this aim, we analyzed export opportunities for the region of Vojvodina, the region in Serbia with the most potential for agribusiness.

This paper uses the Comparative Advantage Index and the Index of Intra-industrial Integration to determine the region's level of comparative advantage and the market's level of integration on the main emerging markets.

The results show that this region has the most competitive advantages in crop production – primarily in cereals and industrial plants – but the situation is not favorable for livestock production. Because of this, comparative advantage should be used as a factor for the growth of competitiveness in the sectors for which crop products are the raw material base. At the same time, agricultural policy measures should encourage more intensive agricultural production, which could create a better foundation for progress in the food industry.

Data collected on foreign trade at the level of statistical regions is not always reliable. Also, regional and local characteristics are specific to each country, so the ability to generalize conclusions is limited.

This paper provides a useful review of the agri-food sector's competitiveness and determines which agri-food segments have competitive advantages. It is essential for policymakers to identify what determinants improve or degrade the competitiveness of the region's agri-food sector.

Since there are a limited number of studies analyzing trends of competitiveness for the region's agri-food sector, the paper will contribute to filling this gap. Furthermore, the framework is conceptually innovative in identifying the determinants that create export opportunities for the region on the international market.

The purpose of this paper is to describe the main ways in which large amounts of information have been integrated to provide new measures of food consumption and agricultural production, and new methods for gathering and analyzing internet-based data.

This study reviews some of the recent developments and applications of big data, which is becoming increasingly popular in agricultural economics research. In particular, this study focuses on applications of new types of data such as text and graphics in consumers' online reviews emerging from e-commerce transactions and Normalized Difference Vegetation Index (NDVI) data as well as other producer data that are gaining popularity in precision agriculture. This study then reviews data gathering techniques such as web scraping and data analytics tools such as textual analysis and machine learning.

This study provides a comprehensive review of applications of big data in agricultural economics and discusses some potential future uses of big data.

This study documents some new types of data that are being utilized in agricultural economics, sources and methods to gather and store such data, existing applications of these new types of data and techniques to analyze these new data.

The purpose of this paper is to reveal the dynamics of the Greek energy sector. As energy sectors contribute substantially to a national economy and stimulate national output and employment, it is important to identify their upward and downward linkages and interrelations with the other sectors of the economy.

To do this and capture such relations in the economy, a general equilibrium model is used. In specific, input–output (I–O) analysis is used and a model is specifically built for the Greek economy to examine in detail the energy sectors. Multiplier and linkage analysis is performed to assess their dynamics in terms of output, household income and employment.

Results indicate that the three energy sectors’ multipliers and elasticities, though are not ranking in the first places, are enough high indicating their strong linkages in the economy and their potentials to enhance the economy’s total output, employment and household income.

Further disaggregation of the economy’s energy sectors is needed to make clearer the separation among renewable and non-renewable sector, to identify and compare the dynamics and contribution of each category in the economy. Additionally, an environmental I–O model would indicate consequences on the environment and not just pure economic benefits.

Through the analysis, it can be seen that energy sectors and secondary energy products have the ability to drive a country’s economic activity through exports and intersectoral linkages, even if it is not a crude petroleum producing economy. Thus, knowledge of the economic impacts of such sectors is a valuable information.

The current study provides significant information of an economy’s energy sectors regarding their ability to support economic activity and employment. A general equilibrium model is used, examining the whole economy, to assess direct and indirect interrelationships.

To help address the problem of imperfections in the performance of cowpea markets in Ghana, the study sought to understand the costs and benefits associated with different market outlets and factors influencing farmers' choice of these outlets.

A two-stage sampling technique was adopted to collect data from 300 cowpea farmers through purposive sampling of communities and simple random selection at the farmer level in Ejura Sekyedumasi municipality of Ghana. Analytical methods including profitability measures such as gross margin, net margin, return on investment and multinomial logistic (MNL) regression model were used to analyze the data.

The results showed that production and marketing of cowpea is profitable with farmers who trade in wholesale markets recording the highest gross margin (Gh₵1245.85 (US$227.76)), net margin (Gh₵1029.37 (US$188.18)) and return on investment (ROI) of 63%. Important nonfarm-related factors including household size, farming experience, membership of farmer-based organization and extension contact were found to significantly influence the choice of marketing outlets in the study area. In addition, market attributes such as produce selling price, volume of cowpea sold and post-harvest value addition were also key determinants of cowpea market outlet choices.

The results of the study are vital to agricultural administrators in devising efficient cowpea market systems for smallholder farmers in Ghana. Likewise, the study provides important information to smallholder farmers in the choice of market outlets that maximizes their returns.

Previous studies on marketing of cowpea in Ghana emphasized on direct retail or consumer marketing to maximize farmers' returns. Meanwhile, there are claims to suggest that the sale of cowpea grains in the country are carried out through varied market outlets which come with differing costs and benefits implications for smallholder farmers. Therefore, the present study comprehensively compared associated costs and benefits in all available cowpea market outlets so as to settle the confusion surrounding most profitable and efficient marketing channel for smallholder farmers toward poverty reduction.