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The purpose of this paper is to focus on the impact of country-level factors and aim to find out how the factors affect the export competitiveness of agricultural industries from emerging markets. Agricultural industries have been traditionally one of the important contributors to the increased exports from emerging markets.

The revealed comparative advantage (RCA) approach is used to define the export competitiveness of agricultural industries in emerging markets. Regression and factor analysis are used to find out the relationship between export competitiveness and important country-level factors, such as wage cost, irrigated land area, food price index, export of agriculture products, domestic consumption demand and exchange rate, against US dollars of different countries from emerging markets.

Export of agriculture products, irrigated land area and exchange rate against US dollars were found to have positive relationship with export competitiveness of agriculture industry. On the other hand, labor cost and domestic consumption demand were found to have a negative relationship with the export competitiveness.

In transformation of emerging economies, a higher level of export, larger area of irrigated land and stable exchange rate of US dollars will benefit the agriculture export of emerging markets. The rising wage cost and domestic consumption need can restrain the export competitiveness of emerging markets.

The research offers important hints for emerging markets to find their own ways to maintain a sustainable competitive advantage in export market by controlling the country-level factors. Also, it revealed the future problems that can appear in the transformation, with practical suggestions following. This research will be helpful to both policy-makers and global managers.

Considering that food security is a global responsibility, the purpose of this study is to examine the impact of agricultural industries on vulnerability to climate change and the moderating effects of gender-diverse parliaments, education expenditures, research and development (R&D) expenditures and foreign direct investment (FDI).

Using concepts in governance, innovation and knowledge theory, a large panel data set of 125 countries covering 1997–2018 (1,852 country-year observations) was analyzed. Data were sourced from the Notre Dame Global Adaptation Index, the World Bank, the Heritage Index and the International Monetary Fund. Moderated random effects regression was conducted in Stata.

The results reveal that agricultural industries are positively associated with vulnerability to climate change and provide support for our predictions that education expenditures and FDI both reduce the impact of agricultural industries on vulnerability to climate change. However, contrary to predictions, the percentage of women in parliament and R&D expenditures both increase this impact.

To the best of the authors’ knowledge, this is the first quantitative study that uses large, established data sets to explore the relationship between agricultural industries and country vulnerability to climate change. This study shows the significance of country-level factors that both decrease and increase the impact of agricultural industries on vulnerability to climate change.

Innovation strategy and its outcomes may be different for agricultural input firms in developing countries than those operating in developed countries; hence, a study of developing economy should be an important addition to the literature which has earlier focussed mainly on developed countries. Indian firms which were previously catering to domestic demand are now the exporters of major agricultural machinery such as tractors and pesticides.

Rapid growth in demand for the agricultural inputs and improvement in technology implementations have led us to study the performance and transformation of these input industries. An empirical analysis was performed on the listed agricultural input firms during 2001–2019 to investigate the relationship between the R&D efforts and growth of firms in the seed, pesticide, fertiliser and agricultural machinery industries using the system-generalised methods of moments (GMM) technique on the panel of 1,320 firm-year observations.

The findings reveal that investments in innovations have a positive and lagged effect on the growth of firms in the Indian agricultural inputs industry. A further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, the author finds evidence in the case of the agricultural inputs industry that import of raw materials negatively affects the firms' growth (FG) and export intensity (EI) positively affects the growth in the case of R&D firms. Investments in R&D are also seen to enable firms to reap benefits from externalities present in the industry.

This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries.

There are very few studies that have explored the impact of R&D expenditure on the firm performance in agricultural inputs industry, especially in an emerging economy context like India.

Needs assessment is the first step in developing a leadership education program. During the spring of 2008 researchers and program planners conducted focus groups sessions with representatives from Virginia’s agricultural community with the goal of assessing the leadership development interests and needs of that community. As one focus group participant shared, “I’ve had leadership programs all along… they didn’t use examples that were real in my world.” The findings of this qualitative study suggest that an agricultural leadership development program should focus on three areas: (a) knowledge of the changing industry; (b) relationship building across industry sectors; and, (c) practical, transferable skill development. The skill areas of interest include creative problem solving, political advocacy, and communication. These findings are similar to previous research on grassroots leadership development, yet they lead to important recommendations for further research and practice.

This paper aims to examine the impact of six possible foreign direct investment (FDI) spillover channels on the total factor productivity (TFP) of Chinese agricultural enterprises and investigate the moderating role of absorptive capacity (technological acumen) on TFP spillover effects.

Based on data from 118 agricultural and related Chinese industries, the authors employ a multithreshold regression model to empirically analyze the impact of FDI on the TFP of agricultural enterprises and the threshold effect of absorptive capacity. To overcome potential endogeneity problems, the authors select the FDI stock of corresponding USA industries and the industrial access policy index as instrumental variables and re-estimate the model.

The results suggest foreign-invested agricultural enterprises are more likely to benefit from FDI, while the “aggregate” FDI spillover effect is negative for domestic agricultural enterprises. However, once threshold effects are introduced, the authors find firms “close to” (“far from”) the technological frontier experience statistically significant positive (negative) spillover effects. Similar results are obtained for virtually all FDI spillover channels for firms in both upstream and downstream industries. FDI spillovers, when they occur, can be a two-edged sword – benefiting some firms at the expense of others.

The authors introduce six FDI spillover channels to examine the impact of FDI on the productivity of foreign-invested and domestic agricultural enterprises. Moreover, the authors analyze the threshold effect of firms' absorptive capacity. These findings can help formulate foreign investment introduction policies based on the characteristics of agricultural enterprises with different ownership structures. These results are also beneficial for agricultural enterprises to better exploit FDI spillover effects and improve their productivity.

The purpose of this study was to conduct a comprehensive analysis of the impact and its mechanism on the transfer of agricultural labor forces in the surrounding areas resulting from the establishment of a natural reserve, which holds great significance. The significance of this analysis is on the ecological protection of the natural reserve and the coordinated development of local social economy.

This study first performs an analysis on the impact and its mechanism on the establishment of the natural reserve on the transfer of agricultural labor forces from two aspects, which are push and pull factors. Then, based on county panel data in Jiangxi Province from 1995 to 2012, this study builds a generalized difference-in-difference model and performs an empirical study on the impact, heterogeneity and its mechanism on the establishment of the natural reserve on the transfer of agricultural labor forces.

The empirical analysis reveals that the establishment of natural reserves would significantly promote the transfer of agricultural labor forces to non-agricultural sectors. The robust test and placebo test with changed estimation methods verify the robust of the result. The result passes the parallel trend test and shows that the impact is most significant within one year after the implementation of the policy. From the mechanism analysis, the impact mainly comes from the “push” effect brought by the restricted development of agricultural production and primary industry on agricultural labor forces, and the “pull” effect brought by the development of local tertiary industry.

The conclusion of this study enriches the understanding of the internal mechanism between the establishment of natural reserves and the transfer of agricultural labor forces from the push and pull factors, and can provide reference for formulating policies to promote the coordinated development of natural reserve construction and regional social economy.

During the process of reform and opening-up, the structural transformations of the Chinese economy have two significant leaps forward and demonstrate a process of “rural area–industrialization (urban industry and rural industry)–urbanization” development powered by the main engine of economic growth.

These two leaps forward resulted in transitions of economic structure in China. In the author’s view, structural transformations are closely related to China's economic reforms and can be divided into clear phases.

The structural transformations have two significant leaps forward and demonstrate a process of “rural area–industry (urban industry and rural industry)–urban area development” powered by the main engine of economic growth.

This paper reviews and summarizes the development and structural transformations in China’s economy over the last 40 years. The author believes that China’s economic miracle is accompanied by dramatic changes in its economic structure, which is particularly characterized by the ongoing process of transition from a traditional agricultural economy into a country with high industrial output, from industrialization into urbanization and from a planned economy into a market economy.

The agricultural industry is demanding a skilled workforce. Leadership is often identified as a desired employability skill but understanding the relationship between leader and follower during the leadership process in agricultural contexts is limited. The purpose of this qualitative study is to understand how employers contextualize the follower characteristics and skills desired when hiring individuals with an undergraduate agricultural degree for entry-level positions using a case study approach. Data collected from individual interviews, a focus group, observation, and artifacts were combined to triangulate emergent findings. When viewed through the lens of followership theory, the agricultural industry seeks graduates who are independently-directed followers. The themes of job skills, organizational skills, and values component describe the desired characteristics and behaviors of independently-directed followers.

The purpose of this paper is to examine whether Australian agricultural firms display big bath behaviour during droughts by recognising extraordinary and abnormal losses. It is hypothesised that Australian agricultural firms are more likely to report big bath losses in drought years than in non‐drought years and, in a given drought year, agricultural firms are more likely to report big bath losses than firms in other industries.

The authors analyse 405 firm‐years data for agricultural firms over 1980‐1995. For comparison, they also analyse matched‐pair samples of 17 and 30 non‐agricultural firms for the drought years of 1983 and 1995, and matched‐pair samples of 19 non‐agricultural firms for the non‐drought years of 1986 and 1990, respectively. Both univariate and multivariate analyses are used to test the hypotheses.

It is found that agricultural firms are more likely to take big baths in drought years than in non‐drought years. Further, in a given drought year, agricultural firms are more likely to take big baths than non‐agricultural firms. Further analyses of sales, profitability, and extraordinary and abnormal items support the idea that big baths reflect managerial opportunism rather than the economic consequences of droughts.

Previous studies have not investigated the impact of natural calamities like flood and drought on accounting choices. This paper makes an original contribution to the accounting literature by documenting evidence on the extent to which an act of nature, over which management has little or no control, can influence accounting choices.