Substitution versus wealth: Dual effects of non-pastoral income on livestock herd size

Zhou, Jie; Zhong, Hua; Hu, Wuyang; Qiao, Guanghui

doi:10.1016/j.worlddev.2021.105749

Cited by 5 publications

(4 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to many developing countries, China has experienced serious grassland degradation as 90% of its natural grasslands has degraded in varying degrees, with more than 1/3 of them being moderately and severely degraded (Gang et al 2014;Zhou et al 2022). Previous studies explain the causes of degradation mainly from the perspectives of overgrazing driven by population growth, economic development, and land tenure reforms (Briske et al 2015;Li et al 2018;Liu et al 2020;Zhou et al 2022).…”

Section: Grassland Degradation and Protection In Chinamentioning

confidence: 99%

Evaluating the External Effect of Wind Power Development on Grassland Quality

Feng¹,

Hou²,

Xia³

2022

Land Economics

View full text Add to dashboard Cite

This study employs a difference-in-differences approach to investigate the effect of county wind power development on grassland quality in China. We find robust evidence that increasing wind power capacity density by 0.02 MW/km 2 leads to a 0.5% reduction in the normalized difference vegetation index from its mean value. Excluding economic activities as a transmission channel, heterogeneous effects suggest that higher latitude areas with shorter nighttime hours in the growing season are less affected by the negative externality, supporting microclimate effects as the main mechanism. In addition, scarce wind resources and abundant precipitation may help weaken the negative effect.

show abstract

Section: Grassland Degradation and Protection In Chinamentioning

confidence: 99%

Evaluating the External Effect of Wind Power Development on Grassland Quality

Feng¹,

Hou²,

Xia³

2022

Land Economics

View full text Add to dashboard Cite

show abstract

“…However, non-pastoral employment (henceforth, NPE) causes herders to face labor shortages and liquidity constraints in livestock production, which then influence their technology adoption behaviors in terms of the substitution effect and wealth effect. The substitution effect and wealth effect refer to the negative impact and positive impact, respectively, of NPE on livestock production [18]. For the substitution effect, the labor transition from rangeland to NPE leads to a shortage of labor in livestock husbandry production; thus, herders will choose non-labor-intensive technologies as a substitution for labor to maintain livestock production.…”

Section: Introductionmentioning

confidence: 99%

“…This will, in turn, negatively affect the herders' preference and demand for technology [21,24,25]. In addition, since herders with different sales scales face different liquidity constraints and use their income from NPE in different ways, NPE will thus exert a moderating effect on the sales scale [18,24], and the effect of NPE may be strengthened or weakened. Studies related to the substitution effect and the wealth effect of NPE on herders' technology adoption behavior have not reached a consistent conclusion [19,22,23,26].…”

Section: Introductionmentioning

confidence: 99%

Sales Scale, Non-Pastoral Employment and Herders’ Technology Adoption: Evidence from Pastoral China

Huang

Zhang

Huang

et al. 2022

Land

View full text Add to dashboard Cite

The adoption of livestock husbandry technologies has been an important factor affecting the welfare of herders and the efficiency of grazing-based livestock production and grassland protection in China’s pastoral areas. The small-scale herder is the main body of grassland-based grazing husbandry, and so technology adoption is particularly important, though it is currently scarce. To identify the factors influencing technology adoption behavior by Chinese herders, especially its effect on the scale of livestock sales and non-pastoral employment (NPE), we conducted a survey in the Gansu and Qinghai provinces of China with a sample of 296 herder households. The results show that the scale of livestock sale promotes the adoption of technology, while non-pastoral employment has a generally negative effect. In detail, the substitution effect of NPE is positive, but the wealth effect is negative. In addition, NPE and its wealth effect have moderating effects that can enhance the effect of the sales scale on the adoption of herders’ technology. After distinguishing the technologies into profit-seeking technology and pro-environmental technology, we found that NPE and its substitution effect have a significant influence on pro-environmental technology, while the wealth effect has a significant impact on both profit-seeking and pro-environmental technology. Environmental awareness and altruism also have significant positive impacts on pro-environmental technology. These findings are relevant to policy implications dealing with technology adoption in pastoral areas.

show abstract

“…This trend is similar in other developing countries as well (e.g., Escobal, 2001). Given the pivotal role agricultural R&D plays in enhancing agricultural productivity, continued increase in agricultural R&D will likely free more labor from the agricultural sector and enable workers to seek employment in nonagricultural sectors, effectively increasing the non‐farm income of rural households (Fan et al., 2005; Zhou et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Enhancing rural income through public agricultural R&D: Spatial spillover and infrastructure thresholds

Zhan

et al. 2022

Review Development Economics

Self Cite

View full text Add to dashboard Cite

How much farmers benefit from public agricultural research and development (R&D) has been a topic of continued interest. Compared to studies based on classical statistics, we show theoretically and employ the Spatial Durbin Model and the Panel Threshold Regression Model to investigate the different impacts and spatial spillover effects of public agricultural R&D on farm and nonfarm income. Using China's provincial panel data from 2000 to 2015, we find that public agricultural R&D has a positive impact on rural household income. This impact is mainly reflected by nonfarm income and exhibits heterogeneous interprovincial-spatial spillover.We also find that interregional differences in infrastructure, represented by road transportation and Internet access in rural areas, are the main reasons for the spatial heterogeneity. Higher road density and Internet penetration enhance the positive impact of public agricultural R&D on rural income, and the enhancement exhibits characteristics of thresholds, after which the size of enhancement becomes increasingly larger.

show abstract

Substitution versus wealth: Dual effects of non-pastoral income on livestock herd size

Cited by 5 publications

References 34 publications

Evaluating the External Effect of Wind Power Development on Grassland Quality

Evaluating the External Effect of Wind Power Development on Grassland Quality

Sales Scale, Non-Pastoral Employment and Herders’ Technology Adoption: Evidence from Pastoral China

Enhancing rural income through public agricultural R&D: Spatial spillover and infrastructure thresholds

Contact Info

Product

Resources

About